Ensemble Methods Jobs in Bengaluru

Senior Backend Engineer Market Making Location: Bangalore Experience: Senior-level Education: Advanced degree in Computer Science, Mathematics, or a related field About FalconX FalconX is a pioneering team of operators, investors, and builders transforming institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX simplifies the fragmented digital asset market. Our platform provides seamless access, liquidity, and trading tools for institutional clients, enabling strategies from start to scale. Team Overview The Quant Team at FalconX is divided into three verticals: Services: Focused on complex pricing, risk management methodologies, and execution for our OTC desks. Options Market Making (MM): Provides market-making for derivatives, either as a service or as business owners. D1 Team: Quantitative traders providing market-making services while managing discretionary risk for linear products. Role Overview As a Senior Backend Engineer on the Market Making team, you will develop and enhance backend systems that provide critical tools, insights, and infrastructure for pricing, risk management, and trading operations. You will work closely with traders, quants, product managers, and trade operations teams to deliver robust, scalable, and high-performance applications. Key Responsibilities Build and maintain backend infrastructure to support pricing and risk management methodologies for complex and new products. Develop fundamental models in support of the quant team s three verticals. Collaborate with cross-functional teams including design, product management, traders, and quants to deliver scalable and efficient solutions. Solve technically challenging problems of high scope and complexity. Contribute to innovative products in the crypto derivatives space, such as correlation exotics and missing data volatility pricing. Ensure high-quality, maintainable code with strong testing, monitoring, and documentation practices. Required Qualifications Advanced degree in Computer Science, Mathematics, or related field. Proficiency in Python, with experience in a low-level language (C/C++/Rust) preferred. Familiarity with distributed systems and scalable architectures. Understanding of derivative products and risk management frameworks. Strong grasp of data structures, algorithms, and design patterns. Excellent problem-solving skills, with a detail-oriented and collaborative mindset. Strong communication skills and ability to work in a fast-moving, agile environment. Comfortable contributing to early-stage product development in a startup setting. Bonus / Preferred Qualifications Experience with exotic products and derivatives. Risk management and portfolio management experience. Knowledge of numerical methods, optimization, and modeling techniques. Familiarity with frontend frameworks such as React. Help make crypto assets a successful asset class for institutional investors. Provide critical tools and infrastructure that shape trading strategies and pricing models. Collaborate with top talent in trading, quant research, and technology. Work on some of the most innovative products in the crypto derivatives space. Qualification : Advanced degree in Computer Science, Mathematics, or a related field

Position: Mechatronics & Big Data Scientist Developer Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities Machine Learning: Select features, build, and optimize classifiers using advanced machine learning techniques. Data Mining: Perform data mining using state-of-the-art methods to extract valuable insights from large datasets. Data Enhancement: Extend the company s datasets with third-party data sources when necessary to improve model accuracy and relevance. Data Collection & Processing: Improve data collection procedures to include all necessary information for building analytic systems. Data Cleansing & Integrity: Process, cleanse, and verify the integrity of data used for analysis to ensure reliable results. Ad-hoc Analysis: Perform ad-hoc analysis as needed, presenting the results in a clear, actionable manner. Anomaly Detection: Design and implement automated anomaly detection systems, tracking their performance over time to ensure accuracy. Behavioral Competencies Data-Driven: Strong inclination toward working with data and applying analytical thinking to solve complex problems. Detail-Oriented: Meticulous in data analysis and system development to ensure quality and precision in results. Skills and Expertise Machine Learning Algorithms Strong understanding of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Data Science Tools Experience with common data science toolkits like R, Weka, NumPy, and MatLab. Proficiency in at least one (preferably NumPy or R) is highly desirable. Data Visualization Skilled in data visualization tools such as D3.js, GGplot, or similar. Database Management Experience with query languages such as SQL, Hive, Pig, NiFi, or others depending on the company s stack. Familiarity with NoSQL databases like InfluxDB, MongoDB, Cassandra, HBase. Statistical Analysis Strong applied statistics skills, including distributions, statistical testing, and regression analysis. Programming Skills Good scripting and programming skills in languages like PHP, Slim, SQL, and Laravel. Big Data Technologies Knowledge of Hadoop, HDFS, NiFi, and other big data platforms and technologies. Qualifications Essential: MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field. Experience: Minimum 2 years of hands-on experience in developing SDKs and working with Big Data platforms. Proven track record in machine learning, data mining, and data science projects. Qualification : MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field

Engineer MEP (Mechanical, Electrical, Plumbing) Education: BE (Electrical/Mechanical) Experience: 2 6 years Location: Bangalore Job Overview We are looking for a dedicated MEP Engineer to join our team and ensure the successful execution of mechanical, electrical, and plumbing works on our projects. You will be responsible for overseeing the installation, testing, and commissioning of MEP systems, ensuring they meet the project s technical specifications, safety standards, and schedule. You will collaborate with contractors, consultants, and internal teams to ensure the highest quality of work and efficient progress throughout the project lifecycle. Key Responsibilities MEP Installation & Supervision: Oversee the installation, inspection, and testing of MEP equipment, fittings, and systems, ensuring compliance with project specifications and consultant requirements. Quality & Schedule Control: Ensure that MEP work is carried out according to approved drawings and within the designated timeframes, aligning with the overall construction program. Coordination & Execution: Coordinate with contractors and agencies to ensure that MEP work is executed efficiently, maintaining high standards of quality, speed, economy, and safety. Drawing Analysis & Feedback: Study and review project drawings and provide feedback or suggestions for improvement, if necessary. Material Management: Prepare bills for materials and services raised by contractors on-site, and raise requisitions for any additional materials needed. Site Supervision: Conduct daily site walk-throughs and closely monitor the progress of subcontractor work, ensuring it adheres to standards. Installation Methods & Sequence: Stay informed of best practices for installation methods and ensure the correct sequence of MEP work is followed on-site. Reporting & Documentation: Prepare technical reports, drawings, and specifications related to MEP work and ensure all documentation is accurate and up-to-date. Material Inspection: Inspect incoming MEP materials for quality and compliance with IS codes, BOQs, and project specifications. Required Skills Strong knowledge of Electrical & Fire Systems, HVAC (Heating, Ventilation, and Air Conditioning), and Plumbing systems. Familiarity with IS codes and BOQs for MEP materials and construction standards. Proficiency in reviewing and interpreting technical drawings, specifications, and project documentation. Excellent site supervision and coordination skills with the ability to manage multiple tasks simultaneously. Ability to handle material requisitions and ensure timely procurement of necessary supplies. Good communication skills to work effectively with contractors, consultants, and internal teams. Qualifications BE in Electrical Engineering or Mechanical Engineering. 2 6 years of experience in MEP systems, preferably in construction or infrastructure projects. Qualification : BE in Electrical Engineering or Mechanical Engineering

Technical Project Manager - AI Delivery Location: Bengaluru Employment Type: Full-time About Us Exotel is the leading full-stack customer engagement platform and business-focused virtual telecom operator for emerging markets. Founded in 2011, Exotel powers over 50 million daily engagements across voice, video, and messaging channels. Our cloud-based solutions are trusted by over 6,000 companies in more than 60 countries including major players like Ola, Swiggy, Flipkart, GoJek, Byju s, HDFC Bank, Zomato, and Urban Company. We are a Series D company valued at $100 million, with $60 million in ARR, and we provide communication APIs, a modern omnichannel contact center, and a conversational AI platform hosted on the cloud. About the Role Exotel is looking for a Technical Project Manager - AI Delivery to oversee the end-to-end delivery of complex AI-driven projects. You ll be responsible for managing the complete project lifecycle from initiation to closure ensuring that all deliverables meet quality standards, customer requirements, and timelines. As the primary customer interface, you will manage expectations, resolve issues proactively, and ensure successful AI-first implementations for enterprise customers. In this role, you will also contribute technical insights, provide support to your team, and help drive continuous improvement while maintaining a customer-centric focus. Responsibilities Project Planning & Execution: Develop detailed project plans, including scope, objectives, timelines, budgets, and resource allocation. Track progress, ensure deliverables meet quality standards, and ensure timely delivery. Customer Interface: Act as the primary point of contact for customers on assigned projects. Conduct regular status meetings, manage customer expectations, and ensure that their needs are consistently met. Scope & Requirement Management: Work closely with customers to define and document project requirements, manage scope changes, and ensure alignment with product capabilities. Risk Management: Identify potential project risks, develop mitigation strategies, and ensure timely issue resolution. Escalate risks to the Lead Project Manager when necessary. Cross-Functional Coordination: Coordinate daily activities with delivery and engineering teams, ensuring that technical tasks align with project timelines. Facilitate smooth handovers to support engineers post-delivery. Reporting & Stakeholder Communication: Prepare and present regular project status reports to the Lead Project Manager and other internal stakeholders. Methodology Adherence: Ensure all project activities adhere to AI delivery methodologies and best practices, optimizing workflows and processes. Mentorship: Provide mentorship to junior project team members, fostering a high-performing, value-driven organizational culture. Ownership: Take ownership of business satisfaction through the tested deployment of solutions and by consistently delivering on project objectives. Experience: 5+ years of project management experience, preferably in software or SaaS delivery, with a proven track record of managing complex projects from initiation to closure. Technical Knowledge: Strong understanding of integration methods for CRMs and APIs. Familiarity with cloud systems, architecture, networking, and deployment methodologies. AI/ML Knowledge: Familiarity with AI/ML, NLP, or conversational AI concepts is a plus. Requirements Gathering: Experience in gathering and translating customer requirements into actionable business use cases. Customer Management: Ability to run customer meetings, manage expectations, and handle change requests effectively. Technical Expertise: Strong understanding of Linux, networking, databases, message queues, and caching. GenAI Exposure: Hands-on experience with GenAI technologies, such as prompt engineering and Large Language Models (LLM) applications. Soft Skills: Excellent time management, communication, and interpersonal skills. Strong organizational and problem-solving abilities. Customer-Centric: Proactive, customer-focused mindset, ensuring timely issue resolution and high-quality delivery. General Skills Lead the implementation and testing of GenAI projects, ensuring alignment with customer requirements and business goals. Coordinate with pre-sales, product, and support teams to set expectations and deliver according to timelines. Ensure adherence to SLAs, proactively resolve delivery bottlenecks, and maintain a smooth delivery pipeline. Mentor junior engineers and uphold high-quality standards in all project deliverables. Innovation at Scale: Work on cutting-edge AI and communication technologies impacting millions of people daily. Growth & Impact: Be part of a rapidly growing company with ample opportunities for career development and personal growth. Collaborative Culture: Join a passionate, supportive, and high-performing team where collaboration and innovation are core values. Competitive Benefits: Enjoy comprehensive health insurance, mental wellness support, and a robust benefits package. If you are an experienced Project Manager with a strong technical background and a passion for AI-driven solutions, we d love to hear from you. Apply Now to join the Exotel team as a Technical Project Manager - AI Delivery and play a key role in transforming customer engagement across emerging markets.

Job Title: Backend Engineer Location: Bangalore Team: Market Making Team Employment Type: Full-Time About FalconX At FalconX, we re on a mission to revolutionize institutional access to the crypto markets. We combine the best of traditional finance with the cutting-edge technology of the digital asset space, solving the industry's toughest challenges. Our platform provides comprehensive solutions for digital asset strategies, empowering clients to navigate the rapidly evolving cryptocurrency landscape with confidence and precision. Our team is composed of operators, investors, and builders committed to shaping the future of crypto assets. By leveraging speed, transparency, and trust, we re helping to make crypto a viable and successful asset class for financial institutions worldwide. The Team Role The Quant Team at FalconX is divided into three verticals: Services: Focuses on complex pricing and risk management methodologies, building execution strategies for our OTC desks. Options Market Making: A team dedicated to market-making derivatives, managing both service-driven and profit-driven strategies. D1 Team: Quantitative traders providing market-making services, with discretionary risk ownership for linear products. As a Backend Engineer on the Market Making Team, you ll play a pivotal role in developing and enhancing backend infrastructure, contributing to the systems that power FalconX s trading strategies, risk management, and product development. What You ll Do Develop & Enhance Backend Infrastructure: Collaborate closely with the Market Making team to build scalable and robust backend systems that support complex pricing and risk management for new crypto products. Model Development: Contribute to the development of core models that support the three verticals of the team, providing crucial tools for the business. Cross-Functional Collaboration: Work with teams across design, product management, traders, quants, and trade operations to deliver user-friendly and high-performance applications. Solve Complex Technical Problems: Tackle high-impact technical challenges, working on innovative products such as correlation exotics, missing data volatility pricing, and more. Drive Product Innovation: Get involved in the most advanced products within the crypto space, with a focus on market-making solutions for institutional clients. Qualifications: Advanced Degree in Computer Science, Mathematics, or a related field. Proficiency in Python and familiarity with low-level languages (C, C++, Go, etc.). Experience with basic UI frameworks is a plus. Familiarity with distributed systems and large-scale infrastructure. Knowledge of derivative products and risk management frameworks. Strong understanding of data structures, algorithms, and design patterns. Problem-solving skills with a detail-oriented approach. Strong communication skills and a collaborative mindset to work efficiently across teams. Ability to thrive in a fast-paced, agile development environment. Bonus Criteria: Experience working with exotic financial products. Experience with risk management in trading environments. Familiarity with numerical methods and optimization techniques. Experience with React for frontend or UI integration. Innovation at the Cutting Edge: Work on the forefront of cryptocurrency market-making, helping shape the future of institutional crypto trading. Collaborative Environment: Join a dynamic and cross-functional team with the opportunity to work alongside some of the most talented professionals in the fintech and crypto space. Fast-Paced Growth: FalconX is an early-stage startup with a high-growth trajectory, offering a unique opportunity to drive impactful solutions in the rapidly evolving crypto industry. Competitive Compensation: We offer a competitive salary and benefits package, with the potential for equity participation in a high-growth company. Revolutionize Crypto Trading: Be part of a company that is redefining the way financial institutions interact with the crypto market. Exposure to Cutting-Edge Tech: Work with the latest technologies in a fast-paced, evolving environment. Empower Institutional Clients: Help some of the largest financial institutions around the world navigate the complexities of the crypto asset space. If you're ready to take on the challenge of building the future of crypto trading infrastructure, we want to hear from you!

Business Analyst Location: Bengaluru Employment Type: Full-Time About Zolve Welcome to the financial frontier of limitless possibilities welcome to Zolve. We're not just a fintech company we're reimagining global finance. As the world s first cross-border neo-bank, Zolve empowers global citizens, migrants, and nomads to access credit and financial services in their new country based on their home country credit profile. With products like checking accounts, credit cards, loans, remittances, and insurance, Zolve is eliminating borders in banking helping people be financially free and pursue their ambitions wherever they are. As we expand into new geographies and product lines, we re looking for a Business Analyst to help us drive data-backed decisions and create meaningful impact across our business. About the Role As a Business Analyst at Zolve, you ll act as a critical link between business stakeholders and technical teams. Your role will involve analyzing complex data, generating insights, and presenting actionable recommendations that support decision-making across the organization. You ll collaborate cross-functionally with product, growth, engineering, and leadership teams to shape the future of our cross-border financial solutions. Key Responsibilities Data Analysis & Insights Query, manipulate, and analyze large datasets using SQL and Python Identify trends, patterns, and anomalies to uncover business opportunities and risks Deliver actionable insights that influence product, growth, and strategy decisions Data Visualization & Storytelling Translate data into compelling narratives through dashboards, reports, and visualizations Build and maintain dashboards using tools like Tableau, Power BI, Metabase, etc. Stakeholder Collaboration Work closely with business, product, and engineering teams to gather requirements and define analytical solutions Communicate findings clearly and effectively to both technical and non-technical audiences Data Quality & Governance Ensure the accuracy, integrity, and consistency of data through validation and quality checks Partner with data engineering to improve data infrastructure and reporting capabilities Integration & Automation Build and maintain scripts to integrate data between internal systems and third-party platforms Support automation of recurring reporting and analytics processes Qualifications Education & Experience Bachelor's degree in a relevant field (Engineering, Mathematics, Economics, Business, etc.) 3+ years of experience as a Business Analyst, Data Analyst, or in a similar analytical role Technical Skills Strong proficiency in SQL and Python for data extraction and analysis Advanced Excel skills including pivot tables, lookups, and complex formulas Experience with data visualization tools such as Tableau, Power BI, or Metabase Preferred Qualifications Experience in data modeling and database design Exposure to statistical methods and predictive analytics Domain experience in fintech, e-commerce, or healthcare is a plus What You'll Love at Zolve Mission-driven work that makes a global impact Fast-paced, startup environment with real ownership and responsibility Collaborate with smart, ambitious, and kind teammates Opportunity to grow with a rapidly expanding fintech company Qualification : Bachelor's degree in a relevant field (Engineering, Mathematics, Economics, Business, etc)

Interior Architect Location: Bengaluru Qualification: B.Tech (Civil) / B.Arch Experience: 6+ years Job Description We are seeking a creative and technically proficient Interior Architect to lead the design and execution of interior architecture projects across commercial, residential, or institutional spaces. The ideal candidate should have strong spatial planning skills, a keen eye for aesthetics, and a deep understanding of materials, finishes, and construction detailing. Key Responsibilities Lead the end-to-end design and execution of interior architecture projects from concept to completion. Create design layouts, 3D visualizations, working drawings, and detailed specifications. Coordinate with clients, consultants, vendors, and execution teams to translate design intent into reality. Select materials, finishes, furnishings, and lighting aligned with design aesthetics and budget. Ensure all designs comply with building codes, regulations, and client requirements. Conduct site visits to oversee implementation, resolve issues, and maintain design integrity. Collaborate with MEP, structural, and civil teams to integrate design solutions. Prepare and manage project timelines, BOQs, and documentation. Required Skills & Experience Bachelor's degree in Architecture (B.Arch) or Engineering (B.Tech Civil). Minimum 6 years of hands-on experience in interior architecture and project execution. Proficient in design tools such as AutoCAD, SketchUp, Revit, 3ds Max, V-Ray, and Adobe Creative Suite. Strong understanding of materials, finishes, detailing, and interior construction methods. Excellent communication, presentation, and client-facing skills. Ability to manage multiple projects and deliver within deadlines. Qualification : Bachelor's degree in Architecture (B.Arch) or Engineering (B.Tech Civil)

Dotnet Fullstack Engineer Location: Bangalore Department: R&D - Engineering Experience: 4+ Years About Acqueon: Acqueon is a leading Generative AI-powered Revenue Execution Platform focused on empowering B2C enterprises in regulated and non-regulated industries to achieve revenue goals through enhanced outbound communications. Our solutions cover key use cases such as Collections, Internet Sales, Telephone Sales, Proactive Service, Reminders, Outage Notifications, and Appointment Management. We are committed to delivering friction-free, delightful, and referral-worthy customer experiences powered by AI technology. Role Overview: As a Dotnet Fullstack Engineer at Acqueon, you will be instrumental in designing, developing, and maintaining web applications. You will work on front-end development using Angular and backend services with .NET technologies, ensuring seamless integration with healthcare platforms like EPIC, Cerner, and Call Script. Key Responsibilities: Design, develop, and maintain scalable web applications using .NET technologies. Develop responsive and user-friendly front-end interfaces using Angular. Integrate applications with healthcare platforms (EPIC, Cerner, Call Script) via APIs and other methods. Collaborate with cross-functional teams to define, design, and deliver new features. Optimize application performance, troubleshoot bottlenecks, and fix bugs. Maintain code quality, organization, and automate processes as needed. Qualifications & Skills: 4+ years of experience as a .NET Full Stack Developer or in a similar role. Strong proficiency with .NET Framework, C#, and ASP.NET. Hands-on experience with Angular and front-end technologies (HTML, CSS, JavaScript). Familiarity with SQL Server and relational database concepts. Experience integrating with healthcare platforms like EPIC, Cerner, and Call Script. Understanding of healthcare technology environments. Excellent problem-solving skills and strong communication abilities. Ability to work independently and collaboratively within a team. If you're passionate about building innovative solutions that enhance customer experiences and have a solid background in full-stack .NET development, we'd love to hear from you.

Position: Customer Experience Training Manager Location: Bengaluru Experience: 4 to 10 years Education: B.Tech / B.E. / MBA Role Overview We are seeking an experienced and passionate Customer Experience Training Manager to lead the delivery of impactful training programs across our dealer network. This role focuses on enhancing customer satisfaction by elevating soft skills, reinforcing Kia values, and closing service delivery gaps through hands-on, on-the-job training (OJT). You will play a key role in shaping the customer journey at the dealership level. Key Responsibilities Training Delivery & Execution Plan and conduct On-the-Job Training (OJT) programs for Sales & Service teams at Kia dealerships. Deliver soft skills and customer etiquette training, including refresher sessions. Conduct need-based training in response to customer complaints or service gaps. Promote and instill Kia values and behaviors across the dealership network. Training Needs Analysis & Planning Assess training needs in collaboration with regional field teams. Identify knowledge and behavior gaps based on customer feedback and operational data. Develop customized training plans to address specific performance issues. Reporting & Performance Tracking Generate and circulate periodic training reports, dealer scorecards, and monthly review templates. Prepare regional review reports, MIS reports, and contribute to the Annual Business Plan. Track and monitor training effectiveness and its impact on customer satisfaction metrics. Cross-functional Coordination Collaborate with regional teams and dealership management to ensure smooth execution of training programs. Escalate and resolve issues in a timely manner to maintain training effectiveness and continuity. Additional Responsibilities Support with ad-hoc initiatives as assigned by the reporting manager. Continuously update content and training delivery methods to align with industry trends and customer expectations. Skills & Competencies Proven experience in training delivery and customer experience management Strong understanding of automobile sales & service processes (experience with dealerships is a plus) Excellent presentation, communication, and interpersonal skills Effective in participant engagement, with strong platform delivery skills Ability to analyze feedback, identify trends, and implement corrective actions Proficiency in MS Office (Excel, PowerPoint, Word) and reporting tools Preferred Background 4 10 years of experience in training, customer experience, or automotive retail operations Prior work with automobile brands or dealerships is highly preferred Be part of a dynamic, forward-thinking organization where customer experience is at the heart of everything we do. Help shape a customer-first culture by empowering dealer teams through effective training and coaching. Apply now to lead the evolution of customer experience across our dealer network. Qualification : B.Tech / B.E. / MBA

Position: Assistant Manager - Risk Location: Bengaluru About Groww At Groww, we are a passionate team dedicated to making financial services accessible to every Indian. Through our multi-product platform, we help millions of customers take control of their financial journeys. Customer obsession is at the heart of everything we do. From every product design to each algorithm, we focus on delivering the best experience, making financial services simple, transparent, and convenient. Our values include ownership, customer-centricity, and integrity. We believe in constantly challenging the status quo to drive meaningful change. Our Vision We aim to empower every individual with the knowledge, tools, and confidence to make informed financial decisions. Groww s long-term vision is to be India s most trusted financial partner, offering innovative financial solutions across various services. Our Core Values Radical Customer Centricity Ownership-Driven Culture Simplicity Long-Term Thinking Complete Transparency About the Role We re looking for a highly motivated Risk Manager to join our team and play a crucial role in overseeing the development and implementation of the operational risk management framework across the organization. In this role, you will collaborate with cross-functional teams, senior leadership, and external stakeholders to identify, assess, and mitigate risks effectively. The ideal candidate will have a strong problem-solving mindset, excellent analytical skills, and a proven track record of managing risk in a result-oriented environment. As a Risk Manager, you will contribute to shaping a robust risk culture and ensuring smooth operations within the organization. Key Responsibilities: Risk Identification & Assessment: Perform risk identification and assessments across various functions, and recommend process changes to mitigate operational risks. Cross-Functional Collaboration: Work closely with teams like Credit, Risk, Compliance, and Technology to implement effective risk mitigation strategies. Monitoring & Reporting: Track and analyze key risk indicators, and provide regular updates to management and stakeholders. Risk Committee Coordination: Lead and orchestrate Monthly Risk Committee meetings, providing insightful reports to senior leadership and key stakeholders. Incident Management: Examine reported incidents and validate the implementation of corrective and preventive actions. Audit Coordination: Collaborate with internal audit teams to align risk management efforts with audit activities. Root Cause Analysis: Conduct root cause analysis (using methods like 5 Whys, Fishbone, etc.) to identify corrective and preventive actions. Risk Awareness & Training: Conduct training sessions to promote risk awareness and adherence to risk management practices across the organization. Required Skills & Expertise: Experience: 2-5 years of experience in operational risk management, preferably within the financial industry. Risk Assessment & Mitigation: Deep knowledge of risk assessment methodologies and risk mitigation strategies. Regulatory Knowledge: Clear understanding of regulatory requirements related to risk management. Audit Knowledge: Familiarity with auditing principles and standards (e.g., ISO, CMMI). Problem-Solving: Strong analytical skills and the ability to solve complex problems with a detail-oriented approach. Communication Skills: Excellent interpersonal and communication skills to collaborate with senior leaders, cross-functional teams, and external stakeholders. Ownership & Responsibility: A high level of accountability and ownership in driving initiatives to completion. Qualifications: Educational Background: Graduate degree (CA, MBA from a Tier 1 Institute preferred). Technical Skills: Strong proficiency in Excel (knowledge of SQL will be an added advantage). Certifications (Preferred): Knowledge of internal and external audit standards like ISO, CMMI, etc. Impact: Shape the future of risk management in one of India s fastest-growing financial services platforms. Growth Opportunities: Take ownership of key risk management projects and contribute to the company s overall strategy. Culture: Work in a collaborative, transparent, and innovative environment where your contributions are valued. If you're passionate about risk management and want to make a significant impact in a fast-growing fintech company, we d love to hear from you. Qualification : Graduate degree (CA, MBA from a Tier 1 Institute preferred)

Project Quality Focal Experience: 10 12 Years Location: Bangalore Role Overview: We are seeking an experienced Project Quality Focal with a strong background in Aerospace programs and Quality Management Systems. The ideal candidate will bring proven expertise in cross-functional leadership, compliance, and quality assurance. This role demands a proactive professional who can serve as the primary interface with aerospace clients, ensuring all quality standards, documentation, and processes meet both internal and external expectations. Key Qualifications: Total Experience: 10 to 12 years, preferably in the Aerospace industry Client Handling: Experience managing aerospace customers is a strong advantage Quality Standards: In-depth knowledge of AS9100 and ISO 9001 Cross-Functional Leadership: Demonstrated ability to collaborate with teams across Quality, Delivery, and Production Documentation: Ability to create and manage standard procedures and documents aligned with organizational and customer requirements Decision-Making: Strong independent decision-making and problem-solving skills Aerospace Programs: Prior experience with Airbus programs such as A320, A330, A350, and A380 is highly desirable Process Familiarity: Solid understanding of aerospace-specific processes, methods, and tools Proficiency Level: 3 to 3.5 out of 5 in relevant experience and knowledge areas Technical Skills: Software: Proficient in MS Office (Word, Excel, PowerPoint) Aerospace Tools: Exposure to tools like Skywise, CLDB, cLIP, etc. Roles and Responsibilities: Lead resolution of quality issues using appropriate methodologies and tools Act as the primary customer representative to interpret and meet specific quality requirements Ensure compliance with QMS standards and support process deployment across teams Monitor and steer activities related to Quality Management, performance tracking, and qualification processes Represent TTL in Design Assurance Team (DAT) meetings with aerospace clients Collaborate with the client s DOA Independent Monitoring (QIO) when required Ensure accurate implementation of all defined procedures (ATMS, QMS) and maintain alignment with client quality expectations Provide guidance on all Design Assurance activities within TTL Maintain and disseminate the latest interface documentation to authorized personnel Ensure TTL procedures are effectively monitored when approved in place of client documents Provide evidence of ongoing monitoring activities to clients upon request Support and coordinate client and regulatory audits, sample checks, and assessments Continuously improve the collaboration interface between the client and TTL

Electrical System Installation (ESI) Engineer Experience: 3 12 Years Location: Bangalore Role Overview: We are looking for an experienced Electrical System Installation Engineer / Technical Leader to support electrical harness design and installation projects, primarily in aerospace programs such as Airbus A320. This role requires managing design synchronization, modification processes, and ensuring compliance with Airbus design standards and processes. The candidate will work closely with cross-functional teams and design offices to deliver consistent, high-quality electrical system installations. Key Responsibilities: Coordinate and synchronize design activities with various design offices and project teams (e.g., DDMS projects) Manage the complete modification process from Change Request initiation to drawing delivery Establish and maintain design-related processes, methods, and tools to ensure full consistency and coherence Provide accurate and timely reporting to the Head of Project Support system installation design, follow-up, and validation checks Create and maintain drawing sets for Harness Design, Installation, VKE, Equipment Installation, Heater Installation, VU/VE Design Ensure compliance with Airbus installation rules and processes throughout the project lifecycle Qualifications: 3 to 12 years of hands-on experience in Electrical System Installation with strong DMU skills for harness modeling and installation analysis within A320/SA projects Good understanding of Airbus-specific tools and processes including Configuration Management, EHI Concept Design, Electrical Bracket Positioning, IP and UID proposals Experience in system installation design and support activities (design follow-up, installation checks) Knowledge of Functional Electrics (FE) including Configuration Management, Design, RDR & DQN instructions, and support on delivery checks is a plus Familiarity with Design Organization Approval (DOA) is advantageous Technical Skills: Expertise in Catia V5, VPM, PDMLink, PASS SSI / CCD, TAKSY, AIRINA, IPM4Legacy, and other Airbus customized tools Proficient in MS Office applications (Word, PowerPoint, Excel)

Position: Manager - Analytics Location: SEZ4, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 6 to 9 years Job Overview: We are seeking an experienced Manager - Analytics to lead a team of talented data scientists in delivering impactful data-driven solutions. The ideal candidate will have a solid background in analytical methodologies, including machine learning, statistical modeling, and business analytics. You ll be responsible for collaborating with business stakeholders, driving the design and development of advanced analytics models, and ensuring the delivery of high-quality insights that support strategic decision-making. Key Responsibilities: Analytical Methodology: Research, evaluate, and implement new analytical methodologies and approaches to build innovative data-driven solutions. Utilize a blend of mathematics, statistics, machine learning, and business knowledge to solve complex problems. Business Collaboration: Work closely with business leaders and data owners to define key problems and challenges, ensuring the solutions developed have a significant impact on the business. Team Leadership: Lead and mentor a team of junior data scientists, guiding them through the development, deployment, and refinement of machine learning models in a production setting. Advanced Modeling: Utilize a wide range of analytical models, including reliability models, Markov models, stochastic models, Bayesian modeling, classification models, neural networks, and more to address business challenges effectively. Hands-On Expertise: Apply strong hands-on skills in R and Python, using libraries such as NLTK and Sklearn for developing machine learning models and data analysis. Large Data Management: Work with large datasets and distributed computing frameworks like MapReduce, Hadoop, and Hive, ensuring scalable and efficient data processing. Continuous Improvement: Stay up to date with the latest advancements in analytics and machine learning, continually enhancing models and methodologies to deliver cutting-edge insights. Required Technical Skills: Hands-on Experience in Python & R: Strong proficiency in R and Python programming, with experience in libraries such as NLTK, Sklearn, and other machine learning frameworks. Advanced Statistical & Machine Learning Techniques: Proven expertise in at least one of the following: Reliability models Markov Models Stochastic models Bayesian Modelling Classification Models Cluster Analysis Neural Networks NLP (Natural Language Processing) Deep Learning Non-parametric Methods Multivariate Statistics Big Data Tools: Experience working with large datasets and distributed computing platforms such as MapReduce, Hadoop, Hive, etc. Soft Skills: Leadership & Collaboration: Strong leadership skills with the ability to mentor a team of junior data scientists. Excellent collaboration and communication skills to work with business and technical teams. Problem-Solving & Critical Thinking: Ability to approach complex business problems analytically and come up with data-driven solutions. Continuous Learning: A passion for staying up to date with the latest trends and advancements in analytics, machine learning, and data science. At Subex, you ll have the opportunity to work on cutting-edge projects that make a tangible impact on the business. If you're passionate about leading analytics teams and leveraging data science to drive business success, we would love to have you on board.

Position: Senior Data Scientist LLM Location: Bangalore, Karnataka, India Type: Full-Time (On-site) Experience Required: 2+ years in Deep Learning, 1+ years in LLMs Industry: Healthcare AI Company Overview: 5C Network is pioneering multi-modal AI systems for autonomous diagnosis in medical imaging. We're building next-generation models that integrate deep learning with language understanding to revolutionize clinical workflows and diagnostic accuracy. Role Summary: As a Senior Data Scientist LLM, you will lead the development and deployment of Large Language Models (LLMs) focused on enhancing medical imaging diagnostics. You ll work on cutting-edge problems such as instruction fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG), while ensuring scalability and robustness in production environments. Key Responsibilities: LLM Development & Fine-Tuning Design and optimize prompts for diverse clinical and imaging-related use cases. Perform instruction fine-tuning of LLMs to meet task-specific requirements. Develop reasoning pipelines including Chain of Thought (CoT) techniques for complex diagnostic workflows. LLM Deployment & Optimization Self-host and deploy LLMs in secure, scalable production environments. Apply quantization and other performance optimization methods to minimize compute and memory footprint. Ensure high performance, uptime, and security in AI deployments. Retrieval-Augmented Generation (RAG) & Vector Databases Develop and implement RAG pipelines by integrating LLMs with semantic search. Work with vector databases (e.g., Qdrant) to enable fast, efficient retrieval of contextual data. Optimize data storage, indexing, and retrieval to support clinical applications. Data Engineering & Annotation Build and manage high-quality datasets tailored for CoT and multi-step reasoning tasks. Lead data annotation efforts to enhance LLM understanding of medical contexts. Collaboration & Research Collaborate with researchers, ML engineers, and domain experts to bring LLM solutions from prototype to product. Stay ahead of the curve by experimenting with novel LLM architectures and emerging techniques. Qualifications: Bachelor's or Master s degree in Computer Science, Data Science, AI, or a related field. 2+ years of hands-on experience in deep learning. Minimum 1 year of experience working with LLMs (e.g., instruction tuning, prompt engineering, RAG). Prior experience in LLM deployment (self-hosting, optimization, quantization, scaling). Proficient in Python and common ML frameworks (e.g., PyTorch, Hugging Face Transformers). Familiarity with vector databases like Qdrant or similar. Strong interest or prior exposure to healthcare/medical AI. Excellent problem-solving, communication, and team collaboration skills. Technical Stack: Languages: Python Frameworks: PyTorch, Hugging Face Technologies: LLMs (e.g., GPT, LLaMA), Vector Databases (Qdrant), RAG, Quantization Tools: Docker, Kubernetes, REST APIs, Git Work on high-impact AI solutions in the healthcare domain. Collaborate with a team at the forefront of multi-modal diagnostic technology. Access cutting-edge tools and real-world data to drive innovation. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, AI, or a related field.

Senior Associate Infrastructure L1 (AWS) Location: Bengaluru, India Department: Infrastructure & Cloud Engineering Employment Type: Full-Time About the Role As a Senior Associate Infrastructure L1 (AWS), you will design, implement, and manage secure, scalable, and highly available cloud infrastructure for enterprise digital transformation initiatives. You ll collaborate with cross-functional teams to automate deployments, enable DevOps best practices, and ensure robust observability across systems. Your goal is to reduce time-to-market and optimize performance, cost, and compliance. Key Responsibilities Architect and build immutable infrastructure on AWS and/or other cloud platforms. Implement and maintain infrastructure as code using Terraform, CloudFormation, or similar. Manage containerized environments using Kubernetes (EKS/GKE), ECS, Docker, and Helm. Implement service mesh (e.g., Istio) for advanced traffic management, monitoring, and security. Develop and manage CI/CD pipelines using Jenkins, GitLab, CircleCI, or similar. Automate build/deployment processes using Groovy, Go, Python, Shell, or PowerShell. Integrate DevSecOps and security scanning into the software delivery lifecycle. Configure and maintain monitoring, logging, and observability using: Monitoring: Prometheus, Grafana, Datadog, New Relic Logging: ELK Stack, Fluentd, Splunk Observability: OpenTelemetry, Jaeger, Kiali, CloudTrail, Dynatrace Troubleshoot infrastructure, performance, and deployment issues. Collaborate with application teams and stakeholders to ensure high performance and availability of deployed services. Required Skills & Qualifications 4 to 12 years of experience in Cloud Infrastructure & DevOps roles. Bachelor's or Master s degree in Engineering, Computer Science, or related field. Hands-on experience with AWS (EC2, VPC, IAM, Lambda, RDS, CloudWatch, etc.) Solid experience in container orchestration using Kubernetes (EKS/GKE) and infrastructure management. Expert in IaC tools like Terraform (preferred), ARM templates, Pulumi, etc. Proficiency in CI/CD pipeline automation and scripting. Familiarity with cloud-native security practices and vulnerability scanning tools. Experience with DNS, Load Balancers, and high-volume application infrastructure setup. Hands-on experience with artifact repositories like Nexus or Artifactory. Preferred Certifications (Nice to Have) Associate-level certifications in AWS, Azure, or GCP HashiCorp Certified Terraform Associate Benefits Gender-neutral workplace policies 18 paid holidays per year Generous parental leave and new parent transition support Flexible work arrangements Comprehensive Employee Assistance Program (mental & physical wellness) About Publicis Sapient Publicis Sapient is a global digital transformation partner helping established organizations evolve into their future state through technology, data, consulting, and customer-first experiences. With over 20,000 employees across 53 offices, we combine deep domain knowledge with a start-up mindset and agile methods to solve complex business challenges.

Manager Experience Engineering (React) Location: Bengaluru, India Department: Engineering | Front-End (React) Type: Full-Time About the Role As a Manager Experience Engineering, you will lead and mentor cross-functional teams, architect complex front-end applications, and act as a thought leader in front-end technologies. Your expertise in React, modern JavaScript, and UX engineering will be crucial in crafting seamless user experiences for enterprise-grade solutions. You will also collaborate with clients, designers, and internal teams to deliver innovative and scalable front-end architectures. Key Responsibilities Lead, architect, and deliver scalable front-end solutions using React and modern JavaScript. Mentor developers and guide teams on engineering best practices and SA3 methodologies. Collaborate closely with information architects, designers, and backend teams to ensure high usability and performance. Represent Publicis Sapient s thought leadership with clients and manage peer-level relationships. Own the technical roadmap for front-end implementations and manage risk mitigation strategies. Review and ensure compliance with accessibility, performance, and SEO standards. Contribute to front-end development standards and influence continuous technical improvement. Required Skills & Experience 10+ years of experience in software development with a focus on front-end engineering. Bachelor s degree in Computer Science or related field with strong fundamentals in data structures, algorithms, OS, networking, and graphics. Strong command over HTML5, CSS3, and JavaScript (ES6+). Expertise in React and state management using Redux (Thunk/Saga) or MobX. Solid understanding of OOJS and JavaScript design patterns. Experience in monolithic and micro-frontend architectures. Proficiency in frontend build tools: Node.js, Webpack, Grunt, Gulp. Experience with TDD/Unit Testing in JS using Jest, Mocha, Karma, Jasmine, etc. Familiarity with responsive design, CSS frameworks (Bootstrap), and accessibility standards (ARIA). Experience with client-side templating (Handlebars, Mustache). Comfortable with templating languages, SEO best practices, and performance/security tools. Exposure to MV* frameworks like AngularJS, Backbone.js is a plus. Advantageous: Experience integrating with backend technologies (Java, .NET), CMS, and eCommerce platforms. What Sets You Apart Natural leadership and mentoring skills. Strong communication and stakeholder engagement. Passion for emerging tech and continuous learning. Self-motivated, proactive, and detail-oriented. Proven ability to architect clean, scalable solutions. Benefits Comprehensive Health and Wellness coverage Statutory and financial planning benefits Career advancement through continuous learning & upskilling Flexible work arrangements under the Flexi Work Policy Employee Assistance Programs for mental well-being About Publicis Sapient Publicis Sapient is a global digital transformation partner helping established organizations achieve a digitally-enabled future. Combining strategy, consulting, design, and engineering with agile methods, we help clients build the products and experiences their customers truly value. With over 20,000 employees in 53 offices worldwide, we empower innovation at scale. Qualification : Bachelors degree in Computer Science or related field with strong fundamentals in data structures, algorithms, OS, networking, and graphics.

Job Title: Software Design & LabVIEW Engineer Location: Bengaluru Overview: Join CynLr s Product Design and Algorithm Team as a Software Design & LabVIEW Engineer, where you will be instrumental in developing LabVIEW code for advanced algorithms and experiments, optimizing performance, and supporting the software development lifecycle with strong architectural discipline. You will also provide critical interface and support for hardware-in-the-loop validation and customer implementation. Key Responsibilities: LabVIEW Development & Experimentation Translate concepts and algorithms from Design and Algorithm teams into well-structured LabVIEW code and experiments. Optimize LabVIEW code for timing and memory performance. Build custom data visualizations and user-friendly UI elements to accelerate experimental workflows. Enhance Lab experiment applications for usability and efficiency. Code Refactoring & Architecture Understand and apply established LabVIEW design patterns and coding standards (including STQ). Refactor legacy spaghetti code to comply with architecture and design guidelines. Document and maintain code quality and design consistency. Software Development Lifecycle Integration Implement and maintain source and version control using GIT or equivalent tools. Integrate evolving C++ DLL libraries seamlessly into LabVIEW codebases without disruption. Verification & Validation (V&V) Develop test cases and execute validation tests for C++ and LabVIEW code. Perform hardware-in-the-loop testing to validate algorithm functionality and performance. Customer Interface & Support Assist in application implementation and provide technical support to customers. Serve as a LabVIEW knowledge resource for the Algorithm and Design engineers and onboard new team members. Job Requirements: Programming Fundamentals Strong understanding of Data Flow programming paradigm and parallel programming in LabVIEW. Experience with dynamic thread management and service spawning. Software Design & Development Proven involvement in the full software development lifecycle, including distributed development with source/version control (GIT). Expertise in State Machine architecture and familiarity with other design patterns applied in LabVIEW. UI/UX Skills Proficient in building custom controls, data visualizations, and UI elements (experience with XControls is a plus). Strong knowledge of subpanels, resolution reflow, and splitter management for UI design. LabVIEW IDE Expertise Deep knowledge of VI Server (methods and attributes) and VI scripting (preferred). Mastery of LabVIEW project and environment settings, including front panel customization, function palettes, debugging, VI properties, and productivity features. Connectivity & Hardware Interface Experience integrating .dll libraries and C++ header files into LabVIEW applications. Familiarity with registry coding is advantageous. Hands-on experience with communication protocols including Ethernet (UDP, TCP), RS232/485, and industrial protocols like Modbus, CAN, etc.

Job Title: Senior AI Engineer Location: Bengaluru, Karnataka, India Department: GenAI Experience: 4.5 to 7 years Open Positions: 5 About the Role As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering). Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure projects align with overall business objectives and data strategies. Oversee data quality, integrity, and security in AI engineering projects. Build reusable frameworks to enhance the efficiency and scalability of AI systems. Manage client communications to translate requirements into technical outcomes. Identify skill gaps and create opportunities for professional development. Drive initiatives for improving data operations and AI delivery efficiency. Required Technical Skills 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions. Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming. Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering. Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. Proficiency with Databricks workflows, including job and cluster management, and API usage. Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques. Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development. Expertise in SQL optimization and database schema design. Experience deploying AI models using Docker and Kubernetes. Familiarity with version control using GitHub. Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments. Optional experience with PySpark for data processing. Basic understanding of CI/CD pipelines and deployment best practices. Required Non-Technical Skills Strong problem-solving ability with financial impact awareness in both team management and solution delivery. Excellent verbal and written communication skills, comfortable interacting with mid-level client management. Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly. Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening. Demonstrated leadership and mentorship capabilities. Self-motivated with a strong sense of ownership. Good to Have Familiarity with data visualization tools and techniques. Understanding of data security, privacy, governance, and compliance frameworks. Experience with graph databases and graph processing frameworks. Knowledge of data virtualization and federation methods. Skills in data profiling and data quality management. Education Bachelor s degree in Engineering, Computer Science, or a related field. Qualification : Bachelors degree in Engineering, Computer Science, or a 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.

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.