Learning Objectives Jobs in Bengaluru

Job Title: Product Manager - Midas Location: Bangalore Department: Product Management Employment Type: Full-Time About FalconX At FalconX, we are a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the cryptocurrency markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges. Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, liquidity, and infrastructure found in conventional financial markets. As a comprehensive solution for digital asset strategies, FalconX enables seamless navigation through the evolving cryptocurrency landscape. The Role We are seeking a Technical Product Manager to focus on the technical and tactical aspects of our electronic trading platform, **Midas**. In this role, you will work closely with internal teams to build and maintain scalable, robust, and high-performance solutions for institutional customers. You will be responsible for managing the infrastructure, app layer, liquidity layer, and client-facing initiatives, ensuring the platform is optimized for reliability, speed, and scale. Key Responsibilities 1. Infrastructure Layer Management: Drive quarterly investments in **latency and reliability improvements** to enhance the core infrastructure of the platform. Ensure improvements in latency lead to measurable throughput gains, reduced slippage, and higher fill rates. Oversee technical enhancements and upgrades to maintain and scale the platform's infrastructure. 2. Application Layer Enhancements: Develop and enhance new order types and algorithms (e.g., Stop Loss, Partial Fills, Icebergs) to meet evolving market needs. Manage tech debt cleanup, including consolidating and updating configurations. Oversee **FIX infrastructure updates** to support new order types, scalability, and more dynamic spreading logic. Improve **API performance**, focusing on reducing outdated and slow API calls to match current scale. 3. Liquidity Layer: Transition away from primitive hedging models by increasing the sophistication of liquidity management. Develop APIs for liquidity providers (LPs) to enhance platform functionality and liquidity management. Build tools to track and report liquidity status and identify potential gaps in liquidity. 4. Client-Facing Initiatives: Collaborate with cross-functional teams to translate client needs into technical features and product requirements as the platform expands into new markets. Work closely with Sales and Revenue teams to ensure alignment of product development with client demands and technical capabilities. Support client onboarding and provide technical insights into the trading system to ensure a seamless user experience. 5. Day-to-Day Operations: Oversee proactive issue identification and resolution during Asia hours, ensuring system uptime and reliability. Track and report trading data and success metrics for product releases, ensuring timely and accurate performance metrics. Support revenue teams in technical conversations and assist in explaining technical challenges and solutions to clients and stakeholders. 6. Product Lifecycle Management: Own the product lifecycle from concept to execution, driving the Objectives and Key Results (OKRs) for Midas and other product initiatives. Write detailed Product Requirements Documents (PRDs) for technical improvements at the infrastructure and application layers. Create testing frameworks and test cases for product releases, ensuring high-quality standards are maintained. 7. Cross-Functional Collaboration: Collaborate with Engineering, Partnerships, Operations, and Compliance teams to capture all technical requirements for successful product launches. Ensure product features are delivered on time and meet the needs of internal stakeholders and customers. Qualifications Experience: 4-7 years of proven experience in technical product management with a focus on API development and management. Minimum 2 years of experience in brokerage, market-making, or institutional trading. Experience working with foreign exchange products or payment solutions is a must. Prior experience in digital assets or cryptocurrency markets is a bonus. Skills: Strong technical background with experience in managing complex trading systems and market infrastructure. Proficient in **API design and development**, with hands-on experience working with low-latency, high-performance systems. Ability to define and prioritize product requirements in collaboration with cross-functional teams. Excellent problem-solving skills, with the ability to navigate technical challenges in a fast-paced, evolving market. Strong knowledge of market-making and liquidity management in institutional environments. Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders. Education: Bachelor s or Master s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Innovative Environment: Work at the intersection of traditional finance and cutting-edge blockchain technology in a fast-paced, high-growth environment. Market Leadership: Play a crucial role in shaping the future of digital asset trading for institutional clients, helping to address key industry challenges. Collaborative Culture: Join a team of highly talented operators, engineers, and product managers working towards a unified mission of revolutionizing the crypto market. Career Growth: Gain exposure to a rapidly expanding industry and access to opportunities for learning and development. If you're passionate about digital assets, excited by technical challenges, and ready to have a direct impact on the future of institutional trading, we want to hear from you! Join us at FalconX to shape the future of the crypto market. Qualification : Bachelors or Ma...

Job Title: Director of QA Location: Bangalore Department: Quality Engineering Employee Type: Full-time Experience Required: 14 18 years Position Overview We are seeking an accomplished and visionary Director of Quality Assurance (QA) to lead our QA organization and ensure the delivery of world-class products. This leadership role requires deep expertise in quality engineering, strong technical acumen, and a strategic mindset. You will be responsible for defining the overall QA strategy, scaling high-performing teams, and implementing modern testing frameworks and methodologies that align with business and product objectives. This is a high-impact role, collaborating cross-functionally to champion a culture of quality across the organization. Key Responsibilities Strategic Leadership Define and execute a comprehensive QA vision and strategy aligned with the company's product development goals. Evolve QA methodologies and processes by integrating Agile, DevOps, and shift-left principles. Stay ahead of QA industry trends and innovations to drive continuous improvement and efficiency. Team Leadership & Development Recruit, build, and mentor a world-class QA team including managers, leads, and engineers. Foster a culture of ownership, collaboration, and continuous learning. Conduct regular performance reviews and support career development through coaching and training. Promote a "quality-first" mindset across all engineering and product teams. Quality Assurance & Testing Oversee planning and execution of all QA activities including functional, non-functional (performance, security, usability), automation, and regression testing. Lead the implementation and scaling of test automation frameworks to improve speed, coverage, and reliability. Manage defect tracking and resolution processes, ensuring root cause analysis and timely resolution. Define, track, and report on key quality metrics such as defect density, test coverage, automation ROI, and overall product health. Collaboration & Communication Partner with Product, Engineering, DevOps, and Business teams to embed quality early in the product lifecycle. Clearly communicate QA strategies, risk assessments, and progress updates to executive leadership and cross-functional stakeholders. Act as a quality evangelist across the organization, promoting best practices and shared accountability for quality. Process Optimization Identify inefficiencies and quality bottlenecks across the Software Development Lifecycle (SDLC). Champion continuous improvement initiatives to reduce time-to-market without compromising on quality. Advocate for shift-left testing approaches, integrating QA earlier in development workflows. Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related technical field. 15+ years of experience in Quality Assurance, including at least 7+ years in senior leadership roles (e.g., QA Manager, Senior Manager, or Director). Proven track record in building and scaling high-performing QA teams in product-driven environments. In-depth knowledge of testing methodologies (Agile, Waterfall, DevOps) and various testing types (functional, performance, security, usability). Strong experience with test automation tools and frameworks (e.g., Selenium, JMeter, Postman). Hands-on experience with CI/CD pipelines, quality gates, and DevOps practices. Strong analytical, problem-solving, and strategic decision-making abilities. Exceptional interpersonal, verbal, and written communication skills. Ability to thrive in a fast-paced, dynamic, and cross-functional environment. Preferred Qualifications Experience working in Fintech or regulated product-based environments. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). This role offers a unique opportunity to shape and lead the quality vision of a cutting-edge organization. If you're passionate about software quality, innovation, and leading teams to excellence, we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related technical field

Job Title: ML Ops Engineer Location: Bangalore Department: Data Science Employee Type: Full-time Experience Required: 3 5 years Position Overview We are seeking an experienced and motivated ML Ops Engineer to join our Data Science team. In this role, you will be responsible for deploying, monitoring, and maintaining machine learning models in production environments. You will work closely with data scientists, engineers, and product teams to ensure models are scalable, reliable, and aligned with business objectives. This role is ideal for professionals who are passionate about building robust ML pipelines and bringing machine learning solutions into real-world applications at scale. Key Responsibilities Deploy and manage machine learning models in production environments, ensuring scalability, reliability, and performance. Build and maintain MLOps pipelines using platforms like Databricks and MLflow. Monitor model performance, accuracy, and health; implement alerting and diagnostics as needed. Develop and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Optimize data workflows and collaborate with engineering teams to improve model integration and performance. Design strategies for automated model retraining, deployment, and version control. Write clean, maintainable, and efficient code using Python, adhering to OOP principles and best practices. Write complex queries using SQL and work with NoSQL databases to support data pipelines and feature stores. Leverage Python libraries such as PySpark, Pandas, scikit-learn, SQLAlchemy, and Requests. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 3 5 years of experience in building, deploying, and monitoring machine learning solutions in production. Must-Have Skills Experience with Databricks and MLflow for model training and deployment. Proven expertise in machine learning model deployment and monitoring in live environments. Strong programming skills in Python, with solid understanding of data structures, algorithms, and OOP concepts. Experience developing RESTful APIs using Flask or Django. Proficient in SQL and NoSQL database operations. Hands-on knowledge of libraries such as Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Strong analytical, problem-solving, and debugging skills. Good-to-Have Skills Experience with Kafka streaming and batch processing. Familiarity with CI/CD pipelines and version control systems like Git. Understanding of Python multiprocessing, worker/queue systems, and asynchronous/event-driven programming. This is a unique opportunity to work at the intersection of machine learning and DevOps. You'll play a critical role in operationalizing AI models and making them a core part of our product offerings. If you enjoy building scalable systems and solving real-world ML engineering challenges, we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Position: Data Architect Location: Remote/Hybrid | Bengaluru, IND We're searching for a highly skilled and experienced Data Architect to join our team. If you have a deep understanding of big data technologies and extensive experience with Hadoop, Python, Snowflake, and Databricks, you're the ideal candidate. You'll be responsible for designing, implementing, and managing complex data architectures that support our critical business needs and objectives. What You'll Do: Design & Architecture Leadership: Design scalable and efficient data architecture solutions that meet current and future business data needs. Lead the development of data models, schemas, and databases, ensuring alignment with business requirements. Architect and implement robust data solutions on leading cloud platforms (AWS, Azure, or GCP). Data Management & Governance: Develop and maintain robust data pipelines and ETL processes using Hadoop, Databricks, and other essential tools. Oversee data integration and quality efforts to ensure consistency and reliability across the organization. Implement data governance best practices, focusing on data security, privacy, and compliance. Collaboration & Mentorship: Work closely with data engineers, data scientists, and business stakeholders to translate data requirements into effective technical solutions. Provide technical leadership and mentorship to junior data engineers and architects. Collaborate with cross-functional teams to ensure data solutions align perfectly with overall business goals. Optimization & Innovation: Optimize existing data architectures for peak performance, scalability, and cost-efficiency. Monitor and troubleshoot data systems to ensure high availability and reliability. Continuously evaluate and recommend new tools and technologies to improve our data architecture. What You'll Bring: Experience: 10+ years in data architecture, data engineering, or a related field. Big Data Expertise: Proven experience with Hadoop ecosystems (HDFS, MapReduce, Hive, HBase). Programming Prowess: Strong programming skills in Python for data processing and automation. Data Platform Mastery: Hands-on experience with Snowflake for data warehousing and Databricks for analytics. Cloud Fluency: Extensive experience with cloud platforms (AWS, Azure, GCP) and their data services. Data Modeling: Familiarity with data modeling tools and methodologies. Core Skills: Deep understanding of big data technologies and distributed computing. Strong problem-solving skills to design solutions for complex data challenges. Excellent communication skills, able to explain complex technical concepts clearly to diverse audiences. Proficient in SQL and database performance tuning. Experience with CI/CD pipelines and automation in data environments. Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Preferred Qualifications: Advanced Degree: A Master's degree in a related field. Cloud Certifications: Certifications like AWS Certified Data Analytics, Google Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate. Additional Languages: Experience with other programming languages like Java or Scala. Machine Learning Integration: Knowledge of machine learning frameworks and their integration with data pipelines.

Position: Assistant General Manager (AGM) Human Resources Department: Human Resource Location: Bengaluru Role Overview: We are seeking a strategic and experienced AGM Human Resources to lead and support the development and execution of HR strategies that align with the company s overall business objectives. This role encompasses talent acquisition, performance management, employee engagement, compliance, and HR operations to drive organizational effectiveness. Key Responsibilities: Strategic HR Management: Support the design and implementation of HR strategies that align with business goals and promote organizational growth. Talent Acquisition & Onboarding: Oversee end-to-end recruitment processes for critical roles across various departments ensuring the attraction and retention of top talent. Performance Management: Implement and maintain performance management systems, ensuring timely goal setting, regular reviews, and constructive feedback. Employee Engagement & Relations: Foster a positive workplace culture encouraging openness, collaboration, and continuous improvement. Learning & Development: Identify training needs and coordinate learning initiatives to enhance employee skills and career growth. Compliance & Policy Implementation: Ensure HR policies and practices comply with labor laws and internal standards, minimizing legal risks. HR Analytics & Reporting: Analyze HR data and metrics to provide actionable insights supporting informed decision-making. HR Operations: Oversee payroll processes, benefits administration, and management of HRMS/HRIS systems for efficient HR service delivery. Qualifications & Skills: MBA/PGDM in Human Resources or equivalent qualification. Proven experience in strategic HR management and operations. Strong understanding of labor laws and compliance requirements. Excellent interpersonal, communication, and leadership skills. Ability to analyze data and drive insights for organizational improvements. Qualification : MBA/PGDM in Human Resources or equivalent qualification.

Job Title: Research Associate Solutioning Location: Bengaluru, Karnataka, India Department: DAC Qualification: Bachelor s in Engineering, Technology, or equivalent technical field Experience Required: 3 6 years About TheMathCompany TheMathCompany (MathCo ) is a global Enterprise AI and analytics firm that empowers Fortune 500 and Global 2000 enterprises to make smarter, faster decisions through cutting-edge data-driven solutions. Founded in 2016, we bridge the gap between business objectives and AI adoption through NucliOS, our proprietary platform designed to accelerate AI adoption via modular, scalable components. We believe in a culture of transparency, innovation, and collaboration, enabling our people Mathemagicians to grow beyond roles, create meaningful impact, and Leave a Mark. Role Overview As a Research Associate Solutioning, you will be a key contributor to strategic pre-sales and solution design initiatives. This role blends technical depth with consultative storytelling to help craft compelling, client-focused analytics solutions. You will be the go-to expert bridging business goals with AI/ML capabilities, working alongside Sales, Delivery, and Customer Success teams to convert opportunities into impactful engagements. Key Responsibilities Act as a technical subject matter expert in sales and solutioning conversations, supporting client acquisition with business and technical insights. Co-develop tailored proposals, RFPs, and solution roadmaps in collaboration with cross-functional teams. Translate complex business challenges into actionable analytics use cases and scalable AI/ML solutions. Design and present proof-of-value (PoV) concepts, dashboards, and solution architectures using tools like Power BI or Figma. Engage C-suite stakeholders, technical teams, and business leaders to gain buy-in and communicate value. Stay ahead of emerging trends in AI, data science, and industry-specific analytics applications (e.g., CPG, Retail, Pharma, Tech). Partner with Customer Success to collect feedback and continuously enhance solution offerings. Evangelize analytics adoption and drive transformation through strategic storytelling and clear, data-backed communication. Required Skills & Experience 3 6 years of experience delivering analytics-led, AI-driven solutions in a consultative or enterprise environment. Deep understanding of machine learning algorithms (e.g., regression, classification, neural networks, Bayesian models). Strong communication skills both written and verbal with experience creating impactful solution presentations and client deliverables. Demonstrated experience leading cross-functional teams including data scientists, product designers, and business analysts. Fluency in data analytics tools and storytelling frameworks; ability to influence through well-designed decks or dashboards. Domain expertise in one or more industries: CPG, Retail, Pharma, or Technology. Strong organizational skills, able to manage multiple priorities in a fast-paced, deadline-driven environment. Preferred Qualifications Bachelor's degree in Engineering, Statistics, Computer Science, or a related technical discipline. Candidates from non-technical backgrounds with relevant work experience and demonstrable technical proficiency are also welcome to apply. Hybrid Innovation Model: Combine enterprise-grade AI with practical business outcomes. NucliOS Platform Access: Work with one of the most advanced AI solutioning platforms in the industry. Culture of Growth: Transparent, feedback-driven, and meritocratic work culture. Impactful Work: Collaborate with global clients on meaningful problems that shape industries. Qualification : Bachelor's degree in Engineering, Statistics, Computer Science, or a related technical discipline.

Job Title: Data Science Manager Location: Bengaluru, Karnataka, India Department: Data Science Experience: 6 to 8 years About the Role We are seeking a highly analytical and detail-oriented Data Science Manager with deep expertise in Marketing Mix Modeling (MMM) to join our Data Science team. You will lead the development, implementation, and interpretation of MMMs to quantify the impact of marketing channels on business outcomes. Collaborating closely with marketing, finance, and strategy teams, you will guide media investments, enhance ROI, and drive data-driven decision-making. Key Responsibilities Collaborate with Engagement Managers, Account Delivery Managers, and client stakeholders to gather business requirements and define project scope. Develop and execute detailed project plans aligned with objectives. Design data science solutions tailored to client goals. Assign tasks to delivery team members based on their skills and monitor progress. Lead project execution, tracking milestones, ensuring timely and quality delivery. Monitor delivery quality and scorecard metrics; develop action plans for improvement. Lead scrum meetings, client stand-ups, and weekly business reviews. Enforce best practices for quality assurance including peer reviews, coding standards, and documentation. Provide both technical and business guidance to the delivery team. Mentor and coach team members to build a high-performance culture. Foster an environment of trust and encourage innovation. Review and approve team deliverables before client submission. Required Skills Technical Skills Advanced knowledge of probability, statistics, and practical machine learning, including awareness of pitfalls and mitigation approaches. Intermediate proficiency in Python and SQL. Intermediate knowledge of project management methodologies and tools. Competency in MS Office (Excel, PowerPoint, Word). Non-Technical Skills Strong business acumen with the ability to assess financial impact of decisions on delivery and client solutions. Skilled in storytelling and presenting data-driven insights to mid-management clients. Ability to balance pragmatic solutions with time and business impact considerations. Excellent interpersonal skills, including conflict resolution, empathy, communication, listening, and negotiation. Demonstrated leadership and mentorship abilities. Self-driven with strong ownership and accountability. Educational Qualifications Undergraduate degree in Engineering, Statistics, Mathematics, Computer Science, or related technical fields. Candidates with non-technical degrees should demonstrate relevant experience and technical aptitude. Qualification : Undergraduate degree in Engineering, Statistics, Mathematics, Computer Science, or related technical fields.

Job Title: AI/ML Architect Location: Bangalore, India Experience: 15 17 Years Employment Type: Full-Time Overview: We are seeking an experienced AI/ML Architect with 15 17 years of overall experience, including 2 3 years in project management. This strategic role requires deep expertise in AI/ML technologies, enterprise AI architecture, and hands-on delivery of cutting-edge solutions such as autonomous AI agents and generative AI platforms. The architect will lead the design, proposal, and execution of AI-driven solutions across diverse client engagements. Key Responsibilities: Solution Architecture & Design: Design and evolve robust AI/ML architectures incorporating autonomous agents, scalable business intelligence, and generative AI. Collaborate with cross-functional teams (data scientists, ML engineers, UX designers, and business strategists) to convert business needs into technical designs. Evaluate emerging technologies, frameworks, and trends to guide architectural roadmaps and innovation strategies. RFP Response & Proposal Development: Lead the technical response for RFPs, creating solution frameworks that align with client objectives and industry standards. Draft detailed technical proposals, use cases, and presentations to demonstrate the business value and ROI of AI solutions. Partner with sales and business teams to align proposals with market needs and positioning. Project Delivery & Technical Leadership: Oversee full AI/ML solution lifecycles from architecture design to deployment and monitoring ensuring compliance, quality, and performance. Provide hands-on guidance and mentorship to technical teams, promoting best practices in data science, ML model development, and deployment pipelines. Manage project schedules, resource planning, and risk mitigation for successful delivery outcomes. Stakeholder & Cross-Functional Collaboration: Act as the primary technical liaison across teams, ensuring stakeholder alignment on vision, progress, and technical challenges. Conduct technical workshops, reviews, and solution demos to showcase innovation and architectural decisions. Innovation & Continuous Improvement: Monitor industry trends, publications, and competitor offerings to integrate innovative features into AI/ML initiatives. Continuously refine and optimize existing platforms, ensuring scalability, performance, and user-centricity. Required Skills & Qualifications: 15 17 years of overall experience with 2 3 years in a leadership/project management role. Strong track record in AI/ML architecture, especially with autonomous agent systems, enterprise AI, and generative AI technologies. Proficient in modern AI/ML frameworks (TensorFlow, PyTorch, etc.), data pipelines, and cloud platforms (AWS, Azure, GCP). Experience designing and implementing end-to-end AI solutions in complex, data-driven environments. Demonstrated success in crafting technical proposals and responding to RFPs. In-depth knowledge of NLP, deep learning, traditional ML, and AI product integration. Effective project and stakeholder management skills; able to balance priorities across multiple projects. Excellent communication and presentation skills, with the ability to articulate AI value to technical and non-technical stakeholders.

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Position Title: Senior Java Developer Microservices, Emerging Technologies & Cloud Integration Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Role Overview We are seeking a highly skilled Senior Java Developer with deep expertise in microservices architecture, cloud integration, and emerging technologies such as blockchain, IoT, and AI. This role requires a proactive technical leader who can drive innovation, mentor teams, and deliver enterprise-grade solutions aligned with business objectives. Key Responsibilities Lead the design, development, and deployment of solutions leveraging emerging technologies. Provide technical leadership and mentorship to development teams. Collaborate with cross-functional teams to align project goals with business strategies. Research and evaluate new tools, technologies, and frameworks to drive innovation. Stay abreast of industry trends and emerging technologies to keep solutions future-ready. Required Skills & Competencies Expertise in Java, microservices architecture, and cloud platforms (AWS, Azure, or GCP). Strong understanding of blockchain, IoT, AI/ML, or other emerging tech. Deep knowledge of software development lifecycle, architecture, and design patterns. Proven ability to lead and guide teams through complex technical challenges. Strong analytical, problem-solving, and decision-making capabilities. Experience Minimum 5+ years of experience in Java development and leading tech initiatives. Hands-on experience in implementing projects using emerging technologies. Experience mentoring junior developers and collaborating with cross-functional teams. Demonstrated success in delivering scalable, secure, and high-performance applications. Day-to-Day Responsibilities Drive end-to-end project development using Java and relevant tech stacks. Provide technical direction and support to team members. Collaborate with product owners, architects, and business stakeholders. Recommend technology solutions to optimize business processes. Monitor industry advancements and assess relevance to ongoing initiatives. Qualifications Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. Certifications in emerging technologies or cloud platforms are a plus. Soft Skills Strong communication and leadership abilities. Adaptability to fast-paced environments and tight deadlines. Excellent team collaboration and interpersonal skills. Ability to explain complex technical concepts to non-technical stakeholders. Passionate about innovation and continuous learning. Diversity, Equity & Inclusion at Synechron At Synechron, diversity and inclusion are core to our values. We are an equal opportunity employer committed to building a workplace that celebrates differences. Through our global Same Difference DEI initiative, we foster an inclusive culture that empowers everyone to thrive. We welcome applicants of all backgrounds and identities. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field.

Position Title: Senior Data Engineer Databricks, PySpark, Cloud Platforms Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is looking for a Senior Data Engineer to join our advanced analytics team in Bengaluru. In this role, you will architect and build scalable, high-performance data pipelines that power data science, analytics, and business intelligence initiatives. You ll work with modern tools including Databricks, PySpark, and cloud data platforms, while collaborating across teams to ensure high-quality, secure, and efficient data solutions. Key Responsibilities Design, develop, and maintain large-scale, secure, and efficient data pipelines using Databricks, PySpark, and cloud-native tools. Partner with data scientists, analysts, and business stakeholders to translate requirements into robust data solutions. Integrate data from various structured, semi-structured, and streaming sources. Ensure high standards for data quality, performance optimization, security, and cost efficiency. Drive data pipeline automation, orchestration, and monitoring using tools like Airflow. Lead troubleshooting efforts, performance tuning, and enhancements of existing pipelines. Stay informed about emerging data technologies and recommend adoption where relevant. Technical Skills Core Expertise Programming: Python (expert), SQL (advanced), PySpark. Platforms: Databricks (clusters, notebooks, workflows), AWS/Azure/GCP. Data Orchestration: Apache Airflow (or similar). Data Warehousing: Snowflake (preferred), data modeling, ETL/ELT pipelines. Streaming: Kafka or other stream processing tools. DevOps: CI/CD (GitLab CI, Jenkins), version control (Git), containerization (Docker/Kubernetes preferred). Security: Familiarity with encryption, access controls, and compliance best practices. Experience 8+ years of experience in data engineering or related roles. Proven expertise in developing and deploying scalable data pipelines using Databricks, PySpark, and SQL. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Strong background in data warehousing, especially with Snowflake. Exposure to real-time data processing and orchestration tools. Experience implementing CI/CD pipelines for data workflows is a plus. Daily Responsibilities Build and optimize data ingestion, transformation, and storage workflows. Collaborate with cross-functional teams to align data solutions with business objectives. Monitor, troubleshoot, and continuously improve pipeline performance. Conduct data quality checks, ensure governance and compliance standards. Contribute to technical documentation, code reviews, and team knowledge sharing. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related field. Relevant certifications (e.g., Databricks Certified Data Engineer, AWS Certified Data Analytics) are preferred. Professional Competencies Strong problem-solving and analytical mindset. Effective communicator with ability to collaborate across technical and non-technical teams. Time management and prioritization skills under tight deadlines. Proactive leadership and a passion for innovation. Commitment to ethical data use and data security. Diversity & Inclusion at Synechron Synechron is committed to building an inclusive, diverse, and equitable workplace. Through our global Same Difference DEI initiative, we celebrate and support people from all backgrounds, including race, gender, sexual orientation, religion, age, disability, and more. We offer flexible work arrangements, continuous learning, internal mobility, and mentoring programs to support every employee s growth. Qualification : Bachelors or Masters degree in Computer Science, IT, or related field

Position Title: Lead AI/ML Engineer Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is seeking a seasoned Lead AI/ML Engineer to lead cutting-edge initiatives in artificial intelligence and machine learning. This role requires deep technical expertise in AI/ML, including deep learning, NLP, computer vision, and generative AI, combined with strong leadership skills to manage teams and drive innovation. You will collaborate closely with stakeholders to deliver high-impact solutions and play a key role in shaping the company s AI-driven digital transformation. Key Responsibilities Lead end-to-end development of AI/ML solutions across use cases involving machine learning, deep learning, computer vision, NLP, and generative AI. Design and implement scalable models and algorithms, ensuring performance, accuracy, and interpretability. Collaborate with product owners, engineers, and business stakeholders to align AI/ML initiatives with strategic objectives. Mentor and guide data scientists and ML engineers to elevate technical quality and delivery standards. Continuously evaluate emerging AI technologies, frameworks, and methodologies to enhance team capabilities. Contribute to innovation strategy by identifying new business opportunities driven by AI/ML. Ensure data and model governance, ethical AI practices, and responsible deployment of AI solutions. Required Skills & Tools Core Competencies: Strong hands-on experience in machine learning, deep learning, NLP, computer vision, and generative AI. Expertise in Python (primary), with additional knowledge of R, SQL, Java, or C++. Deep understanding of statistics, linear algebra, probability, and algorithm design. Frameworks & Tools: TensorFlow, PyTorch, Keras, OpenCV, Hugging Face, spaCy, Scikit-learn, etc. Data processing tools like Pandas, NumPy, and Spark. Version control and CI/CD tools (e.g., Git, MLflow, Docker, Airflow). Methodologies: Proficient in Agile development and model lifecycle management. Experience with productionizing AI models and deploying them on cloud platforms (AWS, Azure, GCP). Experience 8 12 years of experience in AI/ML, Data Science, or related domains. Minimum 8+ years in a leadership or technical lead role driving successful AI/ML initiatives. Proven record of delivering high-impact AI/ML projects at scale. Experience mentoring and managing AI/ML teams in collaborative, cross-functional environments. Day-to-Day Activities Direct and oversee AI/ML model development, validation, deployment, and monitoring. Review project designs, provide technical oversight, and conduct code/model reviews. Drive research and experimentation to apply novel AI methods to solve real-world problems. Support proposal development and client engagements with AI/ML subject matter expertise. Foster a culture of continuous learning, innovation, and data-driven thinking. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Relevant certifications (e.g., TensorFlow, AWS Machine Learning, Azure AI Engineer) are a plus. Soft Skills Strong leadership, team management, and mentoring capabilities. Excellent communication and stakeholder engagement skills. Strategic thinking with a passion for innovation and emerging technologies. Ability to thrive in a dynamic, fast-paced environment and lead through ambiguity. Diversity & Inclusion at Synechron Synechron is committed to a diverse and inclusive workplace. Through our Same Difference DEI initiative, we celebrate unique backgrounds and perspectives while fostering a respectful, empowering environment. We welcome applications from candidates of all identities and provide support through mentoring, internal mobility, and flexible work arrangements. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Head of Engineering India Location: Bengaluru, Karnataka, India Employment Type: Full-time About Serko: Serko is a cutting-edge technology platform revolutionizing global business travel and expense management. We are a passionate team of travelers and technologists connecting people through the world s leading business travel marketplace. As an equal opportunity employer, we embrace diversity and authenticity to create meaningful impact globally. With offices across New Zealand, Australia, North America, China, and now Bengaluru, India, we are rapidly expanding our footprint. Role Overview: We are seeking a visionary Head of Engineering to lead and scale our engineering organization in India. This leadership role bridges technical execution and business strategy, ensuring that engineering teams deliver impactful, scalable solutions aligned with company goals. You will mentor senior engineering leaders, foster a culture of innovation, and guide architectural and operational excellence. Key Responsibilities: Define and champion the long-term technical vision aligned with Serko s strategic goals while encouraging innovation and adoption of emerging technologies. Mentor and empower Senior Engineering Managers and Principal Engineers to lead effectively and drive technical and organizational execution. Facilitate cross-functional collaboration with Product, Design, Operations, and executive teams by aligning priorities and simplifying complex technical strategies. Translate strategy into actionable outcomes by setting clear OKRs and KPIs focused on team performance, delivery reliability, and engineering excellence. Oversee architecture decisions for critical systems, balancing innovation, technical sustainability, and business value. Drive continuous improvement in engineering practices, including Agile workflows, code reviews, and CI/CD processes to boost productivity and quality. Manage budgets and resource allocation thoughtfully to ensure teams have what they need to succeed while maintaining fiscal responsibility. Cultivate a thriving, inclusive engineering culture that supports career growth, diversity, and global collaboration. What You ll Bring: Proven leadership experience managing engineering teams of various sizes, especially in high-growth or product-driven environments. Strong strategic acumen with the ability to align technical efforts with business objectives through pragmatic decision-making. Collaborative mindset with a track record of building trusted partnerships across Product, Design, Operations, and other functions. Operational expertise in Agile delivery, continuous improvement, and data-driven engineering process enhancements. Excellent communication skills to translate complex technical ideas into clear, actionable priorities for diverse audiences. Passion for building inclusive, engaged, and high-performing teams, including experience designing organizational structures and career paths across geographies. Benefits: Competitive base salary. Comprehensive medical benefits. Discretionary incentive plan based on individual and company performance. Access to learning and development platforms with ownership of career growth. Flexible work policies supporting work-life balance. A supportive environment with modern tools to empower your best work.

Senior Engineering Manager Bengaluru, India Location: Bengaluru, Karnataka, India Employment Type: Full-time About Serko Serko is a cutting-edge global technology platform transforming business travel and expense management. We unite passionate travelers and technologists through the world s leading business travel marketplace. Proudly an equal opportunity employer, Serko values diversity and inclusion to create an authentic workplace that drives positive change in the travel industry. With offices spanning New Zealand, Australia, North America, China, and now expanding in Bengaluru, India, we re building a world-class team to revolutionize corporate travel. Role Overview: Senior Engineering Manager Technology Leadership Serko is seeking a dynamic Senior Engineering Manager to join our Bengaluru hub. Reporting to the Head of Engineering, you will lead, mentor, and grow high-performing engineering teams of 35-50 members, ensuring optimal resourcing, delivery excellence, and alignment with company objectives. Your leadership will foster continuous learning, employee engagement, and innovation, playing a critical role in scaling Serko s global travel technology platform. Key Responsibilities Team Leadership & Development: Manage engineering teams focusing on recruitment, skill development, and performance management to meet company goals. Project Delivery: Support and guide delivery leads ensuring timely, high-quality project execution aligned with Serko s operating principles. Technical Strategy: Define and drive the technical vision and strategy for your teams, ensuring scalable, reliable, and secure platform architecture. Culture & Engagement: Cultivate a learning-focused environment that enhances employee retention and fosters professional growth. AI/ML Integration: Lead AI/ML initiatives for demand forecasting, recommendation engines, and real-time decision-making tools. Platform Scalability: Oversee cloud-native, microservices-based systems ensuring performance at high request rates (RPS). Community of Practice: Lead or contribute to technical standards and best practices across engineering teams. Qualifications & Skills 12+ years in software engineering with 8+ years managing large teams (20+) in distributed cloud environments. Proven leadership experience in scaling complex projects and managing high-performing engineering teams. Expertise in microservices, event-driven architectures (Kafka, RabbitMQ), and proficiency in Java, Python, Go, or .Net. Deep knowledge of cloud-native technologies including Kubernetes, Istio, and Terraform. Strong communication and interpersonal skills for cross-functional collaboration. Experience with learning frameworks and fostering continuous team development. Track record of driving platform scalability, reliability, and security at scale. Competitive Compensation: Attractive base salary with medical benefits and performance-based incentives. Career Growth: Access to continuous learning platforms and opportunities to shape your career trajectory. Flexible Work Environment: Encouraging work-life balance with flexible policies. Innovative Culture: Work alongside passionate teams dedicated to transforming global business travel technology.

Inside Sales Specialist Middle East | 3-4 Years Experience | Bangalore Location: Bangalore Experience: 3 to 4 Years Job Overview Join our dynamic team as an Inside Sales Specialist focused on the Middle East market! We re seeking a motivated sales professional with experience in the Construction and Real Estate industry who can proactively identify and generate new business opportunities. You will engage prospects through outbound calls, emails, and social media channels, qualify leads, and assess client needs to align our cutting-edge ERP solutions with their business objectives. Experience & Educational Qualifications 3-4 years of inside sales experience, ideally in software or technology sales within Construction & Real Estate. Bachelor s or Master s degree in Technology or a relevant field. Key Skills Required Proven track record in sales, preferably ERP or software solutions. Ability to qualify leads effectively and progress them through the sales funnel. Strong communication and interpersonal skills. Proficiency in CRM tools and sales software. Experience handling international regions such as Southeast Asia, Middle East, Africa, and the UK is highly preferred. Responsibilities Research and identify new sales leads and potential clients in the Middle East region. Make outbound calls and follow up on inbound inquiries to promote ERP software solutions. Build and nurture strong relationships with leads to convert prospects into customers. Collaborate with marketing, customer service, and other departments to maximize sales efforts. Stay informed about industry trends, competitor activities, and market conditions. Present and demonstrate product benefits to potential clients (preferred). Preferred Qualifications Experience as an Inside Sales Executive in ERP software or similar sales roles. Familiarity with international markets and cross-cultural communication. Excellent organizational and time-management skills. Ability to thrive in a fast-paced, team-oriented environment. Flexible working hours to support work-life balance. Opportunities for professional growth and continuous learning. Comprehensive medical and insurance benefits. Work with a global leader in real estate ERP solutions. About In4Velocity Since 2004, In4Velocity has been a trusted technology partner to real estate, construction, and infrastructure companies worldwide. Our flagship product, In4Suite , revolutionizes real estate development by integrating buy-side, sell-side, and in-house processes into a unified platform with powerful Business Intelligence capabilities. Backed by unmatched global support, In4Suite is the preferred ERP solution empowering companies to streamline operations and make informed business decisions. Join In4Velocity and contribute to pioneering innovation in the real estate technology space. Apply now and join our winning team! Qualification : Bachelors or Masters degree in Technology or a relevant field.

Platform Solution Architect Job Overview As a Platform Solutions Architect, you will serve as a pre-sales specialist, supporting the broader sales organization with deep technical knowledge across database and cloud workloads. This means working with customers and prospects to educate them on how Rubrik protects and manages data. Additionally, the Solution Architect will have an active role in providing real-world feedback to product teams to enhance the product, testing new features before they are released, and championing new features within the sales team. The Solutions Architect provides both immediate and long-term impact with their technical knowledge and position of influence with prospects and customers. Key Responsibilities Serve as a subject matter expert on Rubrik s data protection and data security solutions, focused on database and cloud workloads. Act as a trusted advisor on assigned opportunities, aligning Rubrik s technology and roadmap with customer business objectives. Lead impactful product demonstrations, technical workshops, and solution presentations tailored for technical and executive-level audiences. Contribute to high-quality proposals, white papers, and responses to RFPs/RFIs. Collaborate with presales teams to design, execute, and troubleshoot proof-of-concepts (POCs), ensuring successful outcomes. Proactively identify technical challenges and architect creative solutions to overcome sales barriers. Translate complex customer requirements into clear, actionable technical strategies. Stay abreast of industry trends in data protection, security, database and cloud technologies, effectively positioning Rubrik s solutions. Evangelize Rubrik s offerings and clearly communicate strategic direction and product roadmap aligned with customer needs. Work closely with Product Management and Engineering to influence feature development based on customer feedback and market demands. Provide competitive intelligence and actionable insights from customer engagements to internal stakeholders. Qualifications 8+ years of successful experience in customer-facing technical sales or consulting roles focused on enterprise database technologies and cloud. Bachelor s Degree in Computer Science, Engineering, or equivalent experience. Deep technical expertise in two or more areas across database and cloud: Database focus: Primary: Oracle (Oracle Cloud, Data Guard, Golden Gate, Exadata, ExaCC) Secondary: MongoDB, Apache Cassandra, SQL Server, IBM DB2, Informix, PostgreSQL Multi-Cloud focus (Azure or AWS or GCP): Primary: AWS EC2, Azure VM, GCP Compute Engine, AWS S3, Azure Blob Secondary: Azure SQL and AWS RDS Proficiency in scripting languages such as Python, PowerShell, Go, or JavaScript. Excellent problem-solving capabilities, able to troubleshoot complex technical issues and deliver scalable solutions. Experience conducting benchmarks and performance testing on enterprise systems (preferred). Demonstrated sales acumen, capable of articulating technical value to C-level executives and technical audiences including database administrators. Strong cross-functional collaboration skills with sales, engineering, and product management. Exceptional communication skills, including compelling presentations and clear, concise writing. Proven experience with data center hardware/software, cloud platforms, data security solutions, IaaS, PaaS, or hypervisor software. Self-motivated and results-driven, comfortable working remotely with a high degree of autonomy. Willingness to travel approximately 20%-50% of the time. #LF-SF1 Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is on a mission to secure the world s data. With Zero Trust Data Security , we help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions. Rubrik Security Cloud, powered by machine learning, secures data across enterprise, cloud, and SaaS applications. We help organizations uphold data integrity, deliver data availability that withstands adverse conditions, continuously monitor data risks and threats, and restore businesses with their data when infrastructure is attacked. Qualification : Bachelors degree or equivalent practical experience.

Lead Data Engineer | ThoughtWorks | Bangalore, India Location: Bangalore, India Employment Type: Full-time, Regular Industry: Information Technology About ThoughtWorks At ThoughtWorks, we're a global technology consultancy that integrates strategy, design, and engineering to drive digital innovation. For over 30 years, we've worked alongside our clients to deliver solutions that challenge the status status quo. With a diverse and inclusive team, we empower each other to grow through shared learning, fostering an environment where innovation thrives. Our commitment to a cultivation culture is key to our success, and we re looking for a Lead Data Engineer to join our Bangalore team and lead transformative projects. Job Overview As a Lead Data Engineer at ThoughtWorks, you will be responsible for designing, developing, and operating modern data architectures that meet client business objectives. You will lead and manage data engineering projects end-to-end, from strategic planning to hands-on coding, ensuring the delivery of scalable and efficient data solutions. Working with cutting-edge technologies, you ll collaborate with stakeholders, clients, and cross-functional teams to implement data-driven strategies that address complex business challenges. Key Responsibilities Project Leadership: Lead and manage data engineering projects from inception to completion, including goal-setting, scope definition, and ensuring on-time delivery in collaboration with cross-functional teams. Data Architecture & Solution Design: Collaborate with clients to design modern data architecture and implement end-to-end solutions that meet key business objectives. Create intricate data processing pipelines to address complex business problems. Stakeholder Collaboration: Work closely with stakeholders to understand business objectives and identify opportunities to leverage data and data quality improvements. Data Modeling & Governance: Develop data models using modern modeling techniques and implement them using appropriate technologies. Ensure compliance with data governance, security, and privacy requirements. Scalable Implementations: Partner with data scientists to design scalable implementations of their models, ensuring the solutions are robust and efficient. Clean, Iterative Code: Write clean, modular code based on TDD (Test-Driven Development) and implement continuous delivery practices to support and operate data pipelines. Technology Guidance: Advise clients on distributed storage and computing technologies, selecting the best options to fit their business needs. Data Quality Strategy: Define and incorporate data quality strategies into daily work processes to ensure high standards and compliance. Job Qualifications Technical Skills: Proven experience in data engineering and system design, with a focus on building Big Data architecture and data pipelines within distributed systems. Deep knowledge of data modeling and hands-on experience with modern data engineering tools and platforms. Strong programming skills, with expertise in building scalable, high-quality data pipelines using languages like Python, Java, Scala, or others. Experience with distributed storage platforms (e.g., Hadoop, Amazon S3, etc.) and distributed processing platforms (e.g., Spark, Flink). Experience working with SQL, NoSQL, data lakes, and other data storage technologies. Familiarity with data visualization techniques and ability to communicate insights effectively across varying audiences. Professional Skills: Stakeholder Management: Strong ability to liaise between clients and other key stakeholders, ensuring trust and buy-in throughout projects. Adaptability & Resilience: Comfortable handling ambiguity and finding innovative solutions to complex challenges. Leadership & Mentorship: Experienced in coaching and mentoring team members, fostering a culture of professional growth and accountability. Risk & Conflict Management: Skilled in managing risks and resolving conflicts, driving projects forward despite challenges. Relationship Building: Natural at cultivating strong relationships with clients, stakeholders, and internal teams to create new opportunities. What You Bring to the Team Leadership: A proven track record in leading high-performance teams and supporting colleagues in their professional development. Curiosity & Innovation: A passion for data and technology and a willingness to continually learn and push the boundaries of what's possible. Collaboration: Ability to work closely with cross-functional teams and stakeholders to design and implement innovative data solutions. At ThoughtWorks, we believe in giving you the autonomy to carve out your unique career path, while providing support through development programs and a vibrant culture of learning. You ll work on exciting projects with a diverse team, solve complex challenges, and make an impact at a global scale. Join ThoughtWorks and be part of a global community of innovators. Together, we turn curiosity into action and creativity into impactful solutions.

Position: Senior Data Scientist Location: Bangalore Employment Type: Full-time Experience Required: 5 to 7 years Purpose of the Position: The Senior Data Scientist will play a key role in designing, developing, and implementing machine learning models and algorithms to solve complex business problems. The role involves collaborating with data scientists, software engineers, and business stakeholders to deliver scalable, efficient machine learning solutions that drive innovation and improve business outcomes. Key Responsibilities: Model Development and Optimization: Develop, train, and optimize machine learning models to meet business objectives. Ensure models are accurate, efficient, and scalable. Data Pipeline and Infrastructure: Design and maintain robust data pipelines to support machine learning workflows. Ensure data quality and integrity throughout the data lifecycle. Deployment and Monitoring: Deploy machine learning models into production. Monitor model performance and implement improvements as needed. Collaboration and Communication: Work with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate complex technical concepts to non-technical stakeholders. Research and Innovation: Stay up to date with the latest advancements in machine learning and AI. Experiment with new techniques and technologies to enhance the organization's capabilities. Essential Skills: Machine Learning Frameworks: Experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Programming Languages: Strong skills in Python and R. Data Processing: Experience with tools like Pandas, NumPy, and Spark. Model Deployment: Experience with Docker, Kubernetes, MLflow, and FastAPI. Databases: Strong experience in databases like Snowflake, MongoDB, and Cosmo DB. Statistical Analysis: Strong foundation in statistics and probability. Model Management: Experience establishing model management, monitoring, support, and maintenance frameworks. ML Lifecycle: Experience setting up ML lifecycle processes and governance policies, as well as providing L0, L1, and L2 support. Desired Skills: Deep Learning: Familiarity with deep learning frameworks like TensorFlow or PyTorch. Natural Language Processing (NLP): Understanding of NLP techniques and applications. Cloud Computing: Experience with cloud platforms like AWS, Azure, or Google Cloud. Big Data Technologies: Knowledge of big data technologies such as Hive, Pig, or Cassandra. Software Engineering: Proficiency in software development and version control systems like Git. Qualifications: Education: Master's degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience: Over 5 years of experience in machine learning, with a proven track record of developing and deploying models. Certifications: Relevant certifications in machine learning or data science are a plus. Key Qualities: Analytical Thinking: Strong analytical and problem-solving skills. Communication: Excellent verbal and written communication skills. Team Player: Ability to work effectively in a collaborative team environment. Adaptability: Flexibility to adapt to changing business needs and technologies. Innovation: A proactive approach to exploring new ideas and technologies. Apply now to join our dynamic team and lead innovation through machine learning and AI! Qualification : Master's degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field.

Chief Analytics Office (CAO) - Data Scientist Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 2-4 years Company: IBM Chief Analytics Office (CAO) Introduction: At IBM, we believe in the power of AI and data science to transform enterprises. In the Chief Analytics Office (CAO), we work on the front lines of AI-driven enterprise transformations. By joining our team, you will collaborate with innovative leaders and contribute to solving complex problems using the latest AI and machine learning technologies. Here, your skills will not only be valued but nurtured in a dynamic, collaborative environment designed for growth and impact. Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will play a critical role in driving AI and data science initiatives across the enterprise. You will use your technical expertise to develop and deploy machine learning models and data analytics solutions that align with business objectives. This role is focused on translating data insights into actionable recommendations and leading data science projects from concept to execution. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Assist in the implementation and optimization of AI-driven strategies aligned with business stakeholder requirements. Refine data-driven methodologies for enterprise transformation projects. Data Science and AI: Design, implement, and optimize machine learning solutions and statistical models. Perform end-to-end data analysis, from problem formulation through to deployment. Ensure the scalability of AI solutions by leveraging cloud platforms. Apply IBM s data science standards and reusable assets to ensure quality and consistency. Project Support: Lead and contribute across various stages of AI and data science projects, from data exploration to model development and deployment. Monitor project timelines and assist in resolving any technical challenges. Design and implement measurement frameworks to assess the business impact of AI solutions using KPIs. Collaboration: Work closely with stakeholders to ensure alignment with strategic goals. Collaborate with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Provide technical expertise to cross-functional teams, fostering a collaborative environment. Required Education and Experience: Education: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. An advanced degree is strongly preferred. Experience: 2-4 years of experience in data science, AI, or analytics, with a focus on implementing data-driven solutions. Experience with data cleaning, data analysis, A/B testing, and data visualization. Hands-on experience with AI technologies through coursework or projects. Required Technical Skills: Programming and Data Analysis: Proficiency in SQL and Python for data analysis and developing machine learning models. Familiarity with machine learning algorithms such as linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks (e.g., TensorFlow, PyTorch). Cloud Platforms & Data Processing: Experience with cloud-based platforms (e.g., AWS, Azure, IBM Cloud) and data processing frameworks. Specialized Knowledge: Knowledge of large language models (LLMs) and familiarity with IBM s WatsonX product suite. Familiarity with object-oriented programming (OOP) principles. Analytical and Soft Skills: Problem-Solving: Strong analytical skills with the ability to solve complex problems and derive actionable insights from datasets. Communication: Excellent communication skills to explain technical concepts clearly to stakeholders at various levels. Project Management: Ability to handle multiple initiatives simultaneously, prioritize effectively, and meet deadlines in a fast-paced environment. Preferred Experience: Advanced Degree: A Master s degree in a related field is strongly preferred. Impact: Work on innovative projects that directly impact enterprise transformation using the latest AI and data science techniques. Collaboration: Be part of a collaborative environment with a global team of AI experts. Growth: Develop professionally with continuous learning opportunities in the ever-evolving AI field. Work-Life Balance: IBM offers a dynamic work environment with flexibility and career growth opportunities. Apply now and join IBM's Chief Analytics Office as a Data Scientist and be part of the next generation of data-driven innovations. Qualification : A Masters degree in a related field is strongly preferred.

Job Title: Pre-Sales Solution Architect Fintech & Digital Transformation Location: Bangalore Experience: 12 15 Years Preferred Expertise: .NET, Cloud Technologies, API Development, Fintech Solutions, Digital Transformation Job Overview We are seeking a dynamic and experienced Pre-Sales Solution Architect to lead the solutioning and proposal creation for Fintech and Digital Transformation projects. The ideal candidate will bring a solid background in solution architecture, pre-sales engineering, and technical consulting, with expertise in .NET technologies being a significant advantage. In this role, you will collaborate closely with sales, product, and engineering teams to design innovative solutions, craft detailed proposals, and engage in technical discussions with clients, ultimately driving the success of our sales efforts. Key Responsibilities Client Requirements & Solution Proposal: Partner with sales teams to understand client business needs and technical requirements, crafting customized and scalable solutions. Solution Architecture & Design: Develop comprehensive solution architectures, system designs, and technical roadmaps tailored to client specifications and industry best practices. Technical Leadership: Lead and actively participate in technical discussions, Proof of Concepts (PoCs), and product demos for enterprise clients, ensuring clarity on feasibility and value. Hands-on Technical Expertise: Provide deep technical guidance and expertise in .NET technologies (C#, ASP.NET, .NET Core), cloud platforms (Azure, AWS, GCP), microservices, and APIs. Proposal & RFP Development: Author detailed technical proposals, respond to RFPs, and create compelling case studies that highlight the company s capabilities and successful project outcomes. Collaboration with Engineering: Work alongside engineering teams to assess the feasibility and scalability of proposed solutions, ensuring alignment with both technical and business goals. Stakeholder Engagement: Engage with C-level executives, business stakeholders, and technical teams to align on proposed solutions, ensuring that both technical and business objectives are met. Continuous Learning & Trends: Stay abreast of the latest trends and advancements in Fintech, cloud technologies, microservices, API development, DevOps practices, and cybersecurity to maintain a competitive edge. Required Skills & Qualifications Experience: 12-15 years in solution architecture, technical consulting, or pre-sales engineering. Technical Expertise: Strong proficiency in .NET technologies (C#, ASP.NET, .NET Core) and cloud platforms (Azure, AWS, GCP). Experience designing solutions using microservices, API gateways, event-driven architectures, and serverless computing. Expertise in enterprise system integrations, security best practices, and performance optimization. Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation. Communication & Stakeholder Management: Exceptional communication skills with the ability to present complex technical concepts to both technical and non-technical audiences. Proven experience engaging with C-level executives, business leaders, and technical teams to drive technical discussions and decision-making. Documentation & Proposal Writing: Demonstrated ability to author high-quality technical documentation, proposals, and RFP responses that are clear, concise, and compelling. Certifications: Certification in Cloud Architecture (Azure Solutions Architect, AWS Certified Solutions Architect, etc.) is a plus. Preferred Qualifications Industry Expertise: Prior experience working in Fintech, Digital Transformation, or related fields is highly preferred. Technical Skills: Familiarity with microservices architecture, API development, cloud-native applications, and advanced cybersecurity practices. This is a fantastic opportunity for an experienced Pre-Sales Solution Architect to play a key role in driving business outcomes through innovative and tailored technical solutions for the Fintech and Digital Transformation sectors. If you have the skills and passion for working in a dynamic, forward-thinking environment, we would love to hear from you!