Decision Making Algorithms Jobs in Bengaluru

AI Agent Engineer Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. We enable enterprises to deploy AI agents that automate customer interactions, delivering natural conversations with predictable outcomes. Our platform combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. We also empower teams to guide and augment human agents with AI copilots, while analyzing 100% of interactions for insights, coaching, and quality management. Leading companies like DoorDash, Affordable Care, Signify Health, and Verida rely on Observe.AI to accelerate service speed, increase operational efficiency, and strengthen customer loyalty across all channels. We re looking for an AI Agent Engineer to take the lead in building and deploying enterprise-grade Voice, Chat AI agents, and AI Copilot solutions. This role is hands-on, customer-facing, and crucial for bringing AI solutions to life from design and integration to deployment and optimization. As an AI Agent Engineer, you'll **own the end-to-end lifecycle of AI agents**: from building and integrating them to testing, deploying, and tuning performance to meet client requirements. What You ll Be Doing: AI Agent Development & Deployment: Take full ownership of building and deploying AI agents, including designing prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement & Demos: Lead weekly client demos, showcase progress, gather feedback, and act as the primary technical contact once the solution is defined. Systems Integration: Configure and integrate APIs, handle data mappings, manage authentication, error handling, and connect AI agents to CRMs, databases, or knowledge systems. Telephony Integration: Set up and optimize SIP/CCaaS/PSTN routing, configure fallbacks, pass metadata, and troubleshoot call quality issues. Optimization & Iteration: Continuously monitor agent performance, refine prompts, conduct iterative tests, and ensure agents meet automation and containment targets. Strategic Consultation: Translate customer requirements into actionable solutions, while working consultatively to unblock challenges related to security, connectivity, or knowledge ingestion. Collaboration with Engineering: Work alongside the product and engineering teams for deeper technical fixes and platform improvements, while leading client delivery independently. What You ll Bring to the Role: 3+ years of experience in conversational AI, ML engineering, or system integration, with hands-on delivery of AI/LLM-based solutions. Strong expertise in prompt engineering, workflow building, API integration, and telephony systems (SIP, Twilio, Amazon Connect, etc.). Familiarity with Large Language Models (GPT, Claude, Gemini) and orchestration frameworks like LangChain and LlamaIndex. Solid ML knowledge in areas such as embeddings, retrieval-augmented generation (RAG), evaluation frameworks, and fine-tuning models for optimal performance. Proficiency in programming languages such as Python, JavaScript, or similar. Customer-facing experience, with the ability to lead deep technical discussions and conduct weekly project demos. A strong problem-solving mindset, with the ability to find workarounds, unblock integrations, and adapt to unique customer ecosystems. Bachelor s degree in Computer Science, Engineering, or a related technical field. Experience with Integration Platform-as-a-Service (iPaaS) providers such as n8n, Zapier, or similar, and a strong understanding of API integrations and data flow management. Extensive hands-on experience with telephony integrations, including protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits: Medical Insurance: Comprehensive medical coverage and free online doctor consultations. Generous Leave Policies: Annual privilege and sick leave (as per Karnataka S&E Act), national and festive holidays, plus parental leave. Learning & Development Fund: Support for continuous learning and professional development. Fun Team Culture: Regular fun events to foster a collaborative and engaging work environment. Flexible Benefit Plans: Tax-saving benefits (meal cards, PF, etc.) and other flexible benefit options. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

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...

Position: Project Head Location: Bengaluru Experience: 10+ Years Education: Bachelor s/Master s in Civil Engineering, Architecture, Construction Management, or a related field Role Overview: We are seeking an accomplished and visionary Project Head to lead the planning, execution, and delivery of large-scale commercial and residential construction projects. The ideal candidate will bring extensive leadership experience, a strategic mindset, and a strong technical foundation to oversee end-to-end project lifecycle management both in India and the United States. Key Responsibilities: Strategic Leadership & Planning Provide overall direction and leadership across multiple projects from initial planning to final delivery Align project execution strategies with organizational goals and long-term business objectives Lead feasibility studies, budgeting, scheduling, and resource planning Project Execution & Oversight Oversee multiple residential and commercial construction projects simultaneously Ensure adherence to project timelines, quality benchmarks, and cost controls Introduce scalable frameworks, best practices, and process optimizations to improve project performance Team & Stakeholder Coordination Collaborate with cross-functional teams, including architects, consultants, contractors, and vendors Manage stakeholder expectations, presenting progress reports, key milestones, and potential risks clearly and proactively Quality, Safety & Compliance Conduct site inspections and audits to monitor construction progress and identify issues early Ensure full compliance with building codes, safety regulations, environmental standards, and quality assurance protocols International Coordination Travel to the United States for on-site project reviews, vendor meetings, and strategic oversight Ensure seamless coordination between domestic and international stakeholders Candidate Requirements: Bachelor's or Master's degree in Civil Engineering, Architecture, Construction Management, or related discipline Minimum 10 years of progressive experience in construction project management or real estate development Proven track record of managing large-scale commercial/residential projects across geographies Deep understanding of construction regulations, risk management, budgeting, and contract negotiation Strong leadership and team management capabilities Excellent analytical, communication, and stakeholder management skills Proficiency in project management tools such as MS Project, Primavera, or similar Willingness to travel frequently, including to the U.S. Possession of a valid B1/B2 U.S. visa is a significant advantage Qualification : Bachelors/Masters in Civil Engineering, Architecture, Construction Management, or a related field

Job Title: Senior Data Business Partner Location: Bengaluru Department: Data & Analytics Experience: Senior-level Company: OSB India (Offshore subsidiary of OSB Group) About OSB India: OSB India (OSBI) is a wholly owned offshore subsidiary of OSB Group, a leading UK financial services provider. Established in 2004, OSBI delivers exceptional customer support and operational services to the Group s UK brands. Known for driving process excellence, innovation, and functional efficiencies, OSBI is a key strategic arm supporting the Group s long-term goals. Role Overview: We are looking for a Senior Data Business Partner to bridge the gap between business and data analytics. In this role, you will collaborate with business leaders to identify analytical needs, design data-driven solutions, and drive adoption of data across the organization. This is a high-impact role requiring strong analytical acumen, stakeholder management skills, and a passion for delivering insights that support strategic decision-making. Key Responsibilities: Build trusted relationships with business stakeholders to understand their data needs and priorities. Collaborate cross-functionally to translate complex business challenges into data solutions. Lead in-depth analysis using market-standard algorithms and modelling techniques. Ensure adherence to Data Governance standards, policies, and controls. Deliver timely, accurate, and well-documented data content and insights. Advise on analytics delivery planning across projects and business functions. Enable self-service analytics by training business users on available tools and platforms. Advocate and implement innovations in AI, Machine Learning, and data analytics. Partner with Data Engineering and Architecture teams, ensuring adherence to technical standards and best practices. Present findings and strategic insights to senior management and governance forums. Mentor team members on analytical approaches and best practices. Promote a culture of continuous improvement, innovation, and high-quality data usage. Champion the use of central data repositories, relational models, and the Data Warehouse to deliver consistent and reliable BI outputs. Identify risks related to data or projects and escalate when necessary. Support internal training efforts to improve data literacy across departments. Ensure compliance with Risk Management and Data Governance policies. Stay current on industry trends, tools, and technologies to enhance analytics capability. Candidate Profile: Qualifications: Bachelor s or Master s degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field. Certifications in data analytics, data science, or relevant tools/platforms are a plus. Experience: 6+ years in a business-facing data analytics role, ideally within financial services or technology. Strong experience in data analysis, modelling, and data storytelling. Proven ability to work with senior business stakeholders and executive teams. Experience in mentoring and leading analytics professionals. Demonstrated expertise in translating business needs into actionable insights. Technical Skills: Proficiency in tools such as Power BI, Tableau, SQL, Python/R, or Excel for data analysis. Familiarity with data warehousing, ETL processes, and relational databases. Understanding of data governance, risk, and compliance frameworks. Exposure to AI/ML applications in business contexts is a strong advantage. Behavioral Competencies: Excellent communication and presentation skills. Strong business acumen with the ability to drive value from data. Strategic thinking with a problem-solving mindset. Collaborative, adaptable, and proactive. At OSBI, we believe in empowering individuals to grow both personally and professionally. Whether you re early in your career or a seasoned expert, we provide an inclusive and supportive environment to help you thrive. Be a part of a connected organization where your contributions make a difference and your career is a journey, not a destination. Qualification : Bachelors or Masters degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field

Job Title: Assistant Manager Location: Bengaluru Experience Required: 5 to 13 years Minimum Qualification: Diploma in Electronics Engineering Key Skills Vendor Management Facility Management Customer Relationship Management (CRM) Maintenance & Operations Budgeting & Invoicing Documentation & Compliance Job Summary We are seeking an experienced and proactive Assistant Manager to oversee facility operations, vendor coordination, society handovers, and maintenance processes across residential projects. The role involves cross-functional collaboration, documentation oversight, and ensuring timely execution of services for enhanced customer satisfaction and operational efficiency. Key Responsibilities Operations & Facility Management Manage all AMCs, warranties, service contracts, and PPM (Planned Preventive Maintenance) schedules. Oversee society formation and handover, including documentation sign-offs and equipment transfers. Ensure snag rectification and obtain necessary sign-offs from relevant stakeholders. Maintain uptime of common areas and amenities, and handle repair and spare part management. Coordinate issuance of permits to the project team as required. Budgeting & Financial Coordination Assist in planning and tracking unsold apartment bills, and submit working details to the accounts team. Prepare yearly budgets for common areas and share them with residential societies. Respond to audit queries in coordination with the accounts team. Create and share monthly provisions with the finance department. Monitor and ensure Common Area CAM (Common Area Maintenance) funds are available at all times. Follow up with societies for maintenance invoice payments related to unsold apartments. Process vendor invoices and actively follow up with the accounts team for timely payments. Handover & Customer Coordination Ensure a smooth and delightful handover experience for residents. Verify all documents and issue NOCs (No Objection Certificates) to property owners. Coordinate with MGL (gas) connection teams, track progress, and ensure timely completion with daily reporting. Liaise with project teams to resolve pending common area and tower work. Vendor & Project Coordination Oversee all vendor interactions, ensuring timely invoice submission and validation. Assist in vendor identification, evaluation, and procurement of consumables. Review and track progress on pending snag points with the project team. Ensure adherence to operational guidelines and standard procedures. Administrative & Support Activities Plan and organize staff welfare initiatives, internal events, and cost-reduction programs. Liaise with cross-functional departments to ensure seamless operations. Validate all service reports and ensure proper documentation is maintained. Qualification : Diploma in Electronics Engineering

Position: Equity Research (Content/Editorial) - Manager Location: Bengaluru About Groww At Groww, we re a passionate team committed to making financial services accessible to every Indian. Our mission is to empower millions of customers by providing a multi-product platform that enables them to take charge of their financial journey. Customer obsession is at our core every product, design, and algorithm is built with the customer s needs and convenience in mind. At Groww, we believe in a culture of ownership, integrity, and the constant drive to challenge the status quo. Our Vision We believe every individual deserves the knowledge, tools, and confidence to make informed financial decisions. Groww s long-term vision is to be the most trusted financial partner for millions of Indians, offering a diverse range of financial services through a cutting-edge platform. Our Core Values Radical Customer Centricity Our customers are at the heart of everything we do. Ownership-Driven Culture We take responsibility and accountability in all we do. Simplicity We simplify complex financial concepts for better accessibility. Long-Term Thinking We focus on sustainable growth and future impact. Transparency We maintain openness in every decision, interaction, and process. Role Overview We re looking for an Equity Research Lead who can build and lead a team responsible for conducting in-depth analysis on macroeconomic developments, industries, companies, and policies. This role is key in providing high-quality, insightful content that will help over 1.5 crore Groww investors make informed investment decisions. As the manager of this team, you will also drive strategy, foster a culture of excellence, and ensure that your research is communicated effectively across multiple platforms, from reports to social media content. Key Responsibilities: Equity Research: Lead comprehensive research on companies, sectors, and industries, including financial statement analysis, valuation models, and competitive benchmarking. Market & Economic Analysis: Monitor macroeconomic trends, policy changes, and market movements to understand their impact on the equity markets. Content Creation: Produce high-quality research content across various formats, including reports, blogs, videos, and social media posts to effectively communicate findings. Team Leadership: Lead and mentor a team of equity research analysts, fostering a culture of continuous learning and high performance. Client Engagement: Work closely with engagement teams to ensure that your research is effectively communicated and aligns with client needs. Strategic Input: Contribute to the broader research strategy and help shape the direction of Groww s research approach. Compliance: Ensure that all research activities meet regulatory requirements and internal compliance standards. Qualifications: Experience: 3+ years of proven experience in equity research, with a strong track record of delivering high-quality insights. Education: Bachelor's degree in Finance, Economics, or a related field. A Master s degree and/or CFA charterholder is highly preferred. Skills: Strong analytical skills, including proficiency in financial modeling and data analysis tools. Excellent written and verbal communication skills; ability to present complex ideas clearly and engagingly. Leadership experience in managing and motivating teams. Deep understanding of the Indian financial markets and regulatory landscape. Awareness of industry best practices and emerging trends in equity research. Join India s fastest-growing financial services company and be part of a team that's reshaping the financial landscape. Work in a culture of transparency, collaboration, and continuous growth. Lead a passionate team and help millions of users make better investment decisions every day. If you are passionate about equity research and want to make an impact in a fast-growing fintech company, we d love to hear from you. Qualification : Bachelor's degree in Finance, Economics, or a related field. A Masters degree and/or CFA charterholder is highly preferred

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)

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.

Job Title: Business Analyst | 3-5 Years Experience | Product Management, Strategy Consulting | Bangalore, India Location: Bangalore, Karnataka, India About Goavega: Goavega is seeking a skilled Business Analyst/Product Manager with 2 to 3 years of hands-on experience in the Energy, Media, or Sports industry domains and a total of 4 to 7 years of professional experience. This role plays a key part in driving strategic consulting, business analytics, and product design execution to deliver innovative solutions that create real business value. Key Responsibilities: Strategic Planning and Vision: Define product vision, strategy, and roadmap aligned with business goals Conduct thorough market research and competitive analysis to identify growth opportunities and potential risks Collaboration and Execution: Partner with cross-functional teams including design, development, and client stakeholders to deliver impactful products Gather, document, and translate business requirements into clear technical specifications Work closely with development teams to ensure solutions meet business objectives and are delivered on time Performance Analysis and Improvement: Monitor and analyze product performance metrics to suggest improvements and enhancements Lead user acceptance testing (UAT) and ensure products meet business and customer needs Advisory and Decision Support: Prepare and present data-driven business cases to senior leaders and clients to support strategic decisions Assist in identifying new growth opportunities and defining strategic imperatives Thought Leadership and Expertise: Conduct quantitative and qualitative market and competitive research to inform product strategy Stay updated with industry trends and contribute to thought leadership and innovation initiatives Qualifications: Bachelor s degree in Engineering, Design, Computer Science, or a related field MBA or master s degree in design or product management is preferred 2+ years of experience in product management, business analysis, strategy consulting, or business analytics Strong analytical, problem-solving, and communication skills Ability to thrive in a fast-paced, dynamic work environment Preferred Skills: Knowledge of Automotive, Energy, CPG/FMCG, Mobility hubs, Media, and Sports industry landscapes Expertise in building strategies using data analytics and research methodologies Excellent ability to simplify and present complex information for diverse audiences Proactive learner with hypothesis-led problem-solving skills Familiarity with UX/UI design principles and statistical analysis methods Experience in business case development, requirement gathering, product roadmaps, and use case creation Programming knowledge in Python is a plus Open Positions: 1 Be part of a forward-thinking company driving innovation across multiple industry verticals Collaborate with cross-functional teams to create impactful, data-driven products Opportunity to grow professionally and make strategic contributions Qualification : Bachelors degree in Engineering, Design, Computer Science, or a related field

(Senior) Backend Engineer Location: Bengaluru (Whitefield) Team: Product Engineering Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader in AI and data-driven industrial transformation, powering industries like Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy with products such as Cognite Atlas AI and Cognite Data Fusion (CDF). Recognized as a 2022 Technology Innovation Leader and 2024 Microsoft Energy and Resources Partner of the Year, Cognite is reshaping the future of industrial digitalization. Our Values Impact: Focused on delivering measurable results. Ownership: Taking responsibility beyond one s role to foster collaboration. Relentless: Innovating persistently and thoughtfully. About the Team and Role Join the Product team that develops Cognite Data Fusion , a robust platform enabling asset-intensive industries to leverage operational data at scale. You ll work in autonomous, cross-functional teams focused on delivering critical services, including authentication and authorization, that protect privileged customer data. As a Backend Engineer, you will: Develop and maintain scalable, secure backend features for CDF. Make architectural decisions balancing synchronous and asynchronous designs. Write high-quality, well-tested code integrated via continuous integration pipelines. Collaborate across engineering, product, and customer success teams to shape product direction. Monitor and improve service performance, reliability, and security. Proactively address technical debt and vulnerabilities. Keep documentation clear and up-to-date. Strong hands-on experience with software development in languages like Kotlin, Java, Python, or Rust. Ability to learn new languages and use the best fit for the task. Experience with large-scale cloud environments (AWS, GCP, or Azure) and Kubernetes. Familiarity with SaaS product environments is a plus. Expertise in designing and maintaining large-scale infrastructure and web services. Solid foundation in computer science fundamentals: data structures, algorithms, software design. Proven ability to prioritize work for maximum impact. Strong problem-solving skills and troubleshooting complex systems. Collaborative mindset working across teams with shared technical stacks. Work in a diverse, inclusive global organization with 70+ nationalities and a strong DEI focus. Modern, hybrid work environment based in Whitefield, Bengaluru. Flat organizational structure with direct access to decision-makers and minimal bureaucracy. Opportunity to collaborate with world-class talent on ambitious projects spanning multiple industries. Engage in the Cognite HUB to connect with peers and partners directly. Make Your Mark Join us to build cutting-edge industrial data solutions that empower better decisions and sustainable business value. Cognite welcomes candidates from all backgrounds and encourages you to apply even if your experience doesn t perfectly match every qualification.

Engineering Manager Location: Bengaluru (Whitefield) Team: Product Engineering Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader harnessing AI and data to tackle complex industrial challenges across Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy sectors. Our flagship products include Cognite Atlas AI and Cognite Data Fusion (CDF). We are proud recipients of the 2022 Technology Innovation Leader award and 2024 Microsoft Energy & Resources Partner of the Year. Our Values Impact: Deliver meaningful results that matter. Ownership: Take initiative, collaborate, and share responsibility for success. Relentless: Pursue innovation with determination and resilience. Role & Responsibilities Lead and manage a team of 5-10 engineers building scalable services and applications for Cognite Data Fusion. Collaborate cross-functionally with designers, product managers, and program managers to deliver high-quality products on time. Coach engineers of varied experience and backgrounds to maximize their impact and growth. Understand user problems and domain to guide the team effectively. Remove blockers and liaise with stakeholders across teams to solve challenges. Influence product and technical direction actively. Contribute to code, reviews, and documentation when needed. Use Cognite products regularly to empathize with users ( dogfooding ). Desired Profile 2+ years of people management experience in a product company. 5+ years of full-stack development experience with expertise in JavaScript/TypeScript, React, and backend technologies. Previous senior engineer or tech lead experience is a plus. Passionate about growing engineering talent with empathy. Collaborative mindset focused on the greater good. Experience building data-intensive applications. Skilled in managing end-to-end feature delivery. Comfortable working in a fast-paced environment. Strong English communication skills, both written and verbal. Diverse global team of 70+ nationalities with a focus on Diversity, Equality & Inclusion (DEI). Modern, vibrant office in Whitefield, Bengaluru, with a hybrid work model. Flat organizational structure with easy access to decision-makers and minimal bureaucracy. Opportunity to work with top talent on ambitious, high-impact projects. Engage with the community via Cognite HUB and direct collaboration with partners. Make Your Impact Join Cognite to help transform industrial digital transformation through strong DataOps and innovative software, empowering industries and front-line workers worldwide. We encourage applicants of all backgrounds and identities.

Job Title: Project Manager Company: Cognite Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Global Strategic Services Project Management EMEA Employment: Full-Time | Hybrid About Cognite: Cognite is a global SaaS leader in AI-powered industrial digital transformation, known for its flagship products Cognite Data Fusion and Cognite Atlas AI. We serve heavy asset industries like Oil & Gas, Power, and Manufacturing, enabling data-driven operational efficiency and sustainability. Role Overview: As a Project Manager in Cognite s Global Customer Success (GCS) team, you will lead and coordinate digital transformation projects for customers in MENA and SEA regions. You will work closely with Data Scientists, Solution Architects, Domain Experts, and engineering teams to deliver impactful solutions. You serve as the vital link between customers and internal teams, managing project execution, risk, communication, and budgets. Typical Responsibilities: Lead and manage SaaS and software projects on a global scale. Coordinate across multiple stakeholders including customers, partners, and internal teams. Facilitate design thinking and workshops using tools like MIRO. Monitor project progress, risks, and communicate status to senior management. Implement governance frameworks to ensure compliance and success. Foster strong customer and partner relationships. Navigate complex stakeholder environments and resolve challenges. Support projects involving IoT, cloud solutions, machine learning, and AI applications. Travel as needed to support project goals. Requirements: Bachelor s or Master s degree in Engineering, Computer Science, Business, Math, or related field. 7+ years of SaaS or software project management experience at global scale. Proficient with project management tools like JIRA, Confluence, Azure DevOps, Trello, MIRO. Experience or consulting background in Oil & Gas or Manufacturing domain is a plus. Proven ability in risk management, stakeholder engagement, and team leadership. Comfortable working in ambiguous environments and adding structure to delivery. Excellent communication and presentation skills, including to executives. Willingness to travel internationally. Familiarity with IoT, cloud, AI/ML projects is advantageous. Work in a diverse, inclusive environment with 70+ nationalities. Modern hybrid workplace with flat hierarchy and direct decision-maker access. Join ambitious global projects with some of the best minds in the industry. Enjoy a culture emphasizing impact, ownership, and relentless innovation. Excited to lead digital transformation projects that shape the future of industry? Apply now to join Cognite s global community! Qualification : Bachelors or Masters degree in Engineering, Computer Science, Business, Math, or related field.

Software Development Engineer II - Golang (Instamart Team) Location: Bangalore, Karnataka Full Time Experience: 3 - 5 Years Position Overview: As a Software Development Engineer II (SDE II) at Swiggy, you will play a pivotal role in owning the end-to-end design and architecture of complex systems within the Instamart team. You will co-own the technology vision of your team and contribute significantly to the success of the team s mission-critical applications. Partnering closely with product and business teams, you will translate product features and specifications into high-level and low-level designs, ensuring smooth execution and delivery. Key Responsibilities: Ownership of Design & Architecture: Own the end-to-end design and architecture of complex systems. Collaborate with teams to create scalable and maintainable solutions. Collaboration & Innovation: Partner with product and business teams to translate product specifications into technical designs, fostering continuous innovation. Best Practices: Establish and drive best practices within your team for efficient design and development. Technology Leadership: Lead discussions on code reviews, design reviews, and architecture discussions. Influence the adoption of new technologies and tools. Long-Term Technology Vision: Contribute to and implement the long-term technology vision for your team, ensuring sustainable growth and innovation. Tool & Technology Decisions: Decide the technology stack and tools for your team, taking ownership of these choices. Educational Background: B Tech/M Tech in Computer Science or equivalent from a reputed college. Experience: 3 - 6 years of experience in a product development company, specifically in designing and developing complex systems. Technical Expertise: Strong knowledge and application of algorithms and data structures, with a focus on space and time complexities. Programming Skills: Proficiency in Golang (mandatory), along with good understanding of object-oriented programming and design patterns. System Design: Strong design skills involving data modeling and low-level class design. Platform Expertise: Hands-on experience with databases and Linux/Unix platforms. Development Practices: Familiarity with SDLC in an agile environment and experience collaborating with cross-functional teams to drive on-time deliveries. Technical Aptitude: Strong technical aptitude and a solid understanding of computer science fundamentals. At Swiggy, you will be part of a high-performing team that is passionate about creating innovative products. As a Software Development Engineer II, you'll have the opportunity to drive technical leadership and innovation while contributing to building mission-critical applications. We offer a dynamic work environment where you can make an impact and grow in your career. Equal Employment Opportunity: Swiggy is an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristic. Qualification : B Tech/M Tech in Computer Science or equivalent from a reputed college.

Software Engineer III - AI/ML, Platforms and Devices Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience developing accessible technologies. About the Job Google's software engineers work on cutting-edge technologies that transform how billions of users connect, explore, and interact with information. Our products must handle data at a massive scale, far beyond web search. We seek engineers who bring innovative ideas from various fields, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile development. As a Software Engineer, you will work on training and optimizing complex machine learning (ML) models for the Tensor Processing Unit (TPU). By enabling models across diverse applications like camera, speech, Translate, TTS (Text-to-Speech), and others on Edge TPU, you will gain valuable experience in efficient model architectures, optimization techniques, and on-device machine learning at Google. You will also be responsible for managing project priorities, deadlines, and deliverables. Google's mission is to organize the world s information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, software, and hardware to create radically helpful experiences for users. We design and develop new technologies and hardware to make user interactions faster, more seamless, and powerful. Whether advancing form factors, improving interaction methods, or innovating new ways to capture and sense the world around us, our Devices & Services team is helping make people's lives better through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing. Qualification : Master's degree or PhD in Computer Science or a related technical field.

Job Title: Software Engineer Location: Bengaluru, India Company: Google Minimum Qualifications: Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. 5 years of experience with one or more general-purpose programming languages, including but not limited to: Java, C/C++, Python, Objective C, JavaScript, or Go. 4 years of experience with Distributed Processing, System Design, and High-Performance Computing. Preferred Qualifications: Experience in solving ambiguous problems in complex environments. Experience in building distributed systems that are scalable and efficient. Ability to design and complete projects independently, taking ownership of the end-to-end process. About the Job: Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile. The list of technologies we engage with is always growing. As a software engineer, you will work on a specific project critical to Google s needs, with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, to display leadership qualities, and to be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Core Team Overview: The Core team builds the technical foundation behind Google s flagship products. We are the owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure that make up the backbone of Google s services. These are essential building blocks for creating excellent, safe, and coherent user experiences that also drive the pace of innovation for every developer at Google. We look across Google s products to build central solutions, break down technical barriers, and strengthen existing systems. As the Core team, we have the unique opportunity to impact critical technical decisions across the company, influencing the direction of the most foundational and influential aspects of Google s technology. Responsibilities: Work on a core indexing platform that is pivotal to the functionality and performance of Google s services. Design, develop, and maintain highly efficient, scalable, and robust systems to manage large-scale indexing challenges. Work with cross-functional teams to create innovative solutions for distributed computing problems, ensuring that Google s products remain performant and reliable at scale. Contribute to building distributed systems capable of handling immense data volumes in real-time, ensuring that Google's systems can scale with global usage. Participate in code reviews, design discussions, and the creation of detailed documentation to ensure high-quality outcomes. Qualification : Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.

Data Scientist - Global Sugar and Ethanol Production Company Description: Louis Dreyfus Company is a leading merchant and processor of agricultural goods, active across the entire value chain from farm to fork. We operate a broad range of business lines, leveraging our global reach and extensive asset network to serve customers and consumers worldwide. As a matrix organization spanning six geographical regions and ten platforms, we are present in over 100 countries and employ approximately 18,000 people globally. Job Description: We are seeking an experienced Data Scientist to join our team, focusing on managing and analyzing global Sugar and Ethanol production data. This role involves integrating large datasets, applying statistical estimation methods, and developing interactive dashboards to support data-driven decision-making. You will work closely with cross-functional teams to generate insights that enhance business strategies and identify risks in production trends. Main Responsibilities: Manage and estimate global Sugar and Ethanol production and associated risks. Integrate large datasets from various sources and perform feature engineering to improve data quality and usability. Apply statistical methods and estimation techniques to analyze production trends and assess risks. Develop and maintain interactive dashboards to visualize key metrics and insights. Present findings and recommendations to stakeholders through detailed reports and presentations. Collaborate with cross-functional teams to ensure data-driven decision-making across the organization. Experience: Minimum of 3 years of experience in data science, preferably within the commodities sector. Advanced proficiency in Python programming, with expertise in libraries such as Pandas, NumPy, and Scikit-learn. Strong understanding of data integration and feature engineering techniques. Experience in statistical analysis and modeling. Proficiency in data visualization tools such as Dash. Excellent communication and presentation skills. Ability to work independently and as part of a team. Qualifications: Master s degree in economics, applied statistics, or a related field. A Ph.D. is a plus. Fluency in English, both oral and written. Experience working in a commodities-related field is preferred. Qualification : Masters degree in economics, applied statistics, or a related field. A Ph.D. is a plus.

Job Title: Staff Software Engineer QuickBooks Online Product Development Company: Intuit Job Type: Full-Time Employment Type: Permanent Company Overview: Intuit is a global leader in financial technology, with a mission to power prosperity for individuals and communities worldwide. With millions of customers globally using products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, we aim to provide everyone with the tools they need to prosper. Innovation and customer success are at the heart of everything we do. Job Overview: Join the QuickBooks Online Product Development team within the Small Business and Self Employed Group (SBG) as a Staff Software Engineer. QuickBooks, Intuit s flagship accounting software, powers millions of small business owners and accountants globally. As part of the SBG, you ll be developing features for QuickBooks that include Core Accounting, Payments, Payroll, Point of Sale (POS), and more, to provide an exceptional experience to small business owners, accountants, and entrepreneurs. You ll work with cutting-edge technologies and drive innovation to create top-tier software for users. Responsibilities: Gather Functional Requirements & Planning: Collaborate with cross-functional teams to gather business requirements, develop technical specifications, and plan for testing and project execution. Design & Development: Design and develop web, mobile, and software applications, including prototypes and proofs of concept (POC), with a focus on innovation and user experience. Technical Leadership: Take on a leadership role by mentoring junior engineers, new team members, and offering technical guidance on challenging programming and design problems. Hands-On Coding: Write and maintain high-quality, reusable, and self-serve code, while contributing actively to the coding and problem-solving processes. Defect Resolution & Maintenance: Resolve defects or bugs during QA testing, pre-production, production, and post-release, ensuring high-quality software delivery. Cross-Functional Collaboration: Work closely with various Intuit teams such as product management, QA/QE, and other business units to ensure smooth execution and timely delivery of projects. Design & Architecture Contribution: Contribute to the design and architecture of projects, making decisions that align with best practices and customer needs. Agile Development: Work within Agile development frameworks (SCRUM, Extreme Programming), ensuring effective collaboration and continuous delivery. End-to-End Feature Ownership: Own the complete quality, design, maintenance, and support for the features you develop, ensuring a seamless user experience. Qualifications: Experience: 8+ years of experience developing web, software, or mobile applications. Strong foundation in Java/J2EE technologies, design patterns, data structures, algorithms, and troubleshooting. Technical Skills: Proficiency in Java and J2EE technologies. Experience with the Software Development Life Cycle (SDLC), including coding, testing, and release management. Familiarity with RESTful and SOAP web services, both consuming and creating them. Education: BS/MS in Computer Science or equivalent work experience. Coding & Design Expertise: Ability to design and architect complex systems. Demonstrated ability to write clean, reusable, and well-structured code with the ability to troubleshoot and optimize systems. Test-Driven Development: Experience with unit testing and Test Driven Development (TDD) practices. Communication Skills: Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences. Operational Excellence: A commitment to operational excellence, ensuring high performance, scalability, and reliability in all software developed. What We Offer: Innovation & Impact: Work on a product that powers millions of small businesses, shaping the future of accounting and finance for entrepreneurs. Career Growth: Opportunities for personal and professional development in an innovative and collaborative environment. Global Reach: Be part of a global team that delivers financial tools to customers across multiple countries. Inclusive Culture: At Intuit, diversity and inclusion are part of our core values, and we foster a collaborative and supportive environment. Qualification : BS/MS in computer science or equivalent work experience.

Job Overview Join our collaborative and creative group of AI scientists and machine learning engineers as a Senior AI Scientist! In this role, you'll be instrumental in designing, building, and deploying machine learning models in AI-native applications within our Virtual Expert Platform (VEP). You'll directly impact our customers across QuickBooks, TurboTax, Mailchimp, and Credit Karma, developing AI solutions that enhance customer success by blending AI and human expertise. You'll work on some of the most exciting challenges, from forecasting, capacity planning, optimization, and variance analytics, to recommendation systems and decision systems. The solutions you create will be a key part of multi-billion-dollar services like QuickBooks Live and TurboTax Live. Responsibilities Data Analysis & Modeling: Perform hands-on data analysis and build machine learning models using large datasets. Apply data mining, machine learning (both supervised and unsupervised) to improve algorithms related to relevance and personalization. Collaboration: Work closely with product managers, software engineers, and designers to design experiments and develop minimum viable products (MVPs) that leverage AI technologies. Feature Creation & Refinement: Develop features from raw data, continuously refining models to enhance performance. You'll be experimenting with different features and applying your intuition to make improvements. A/B Testing & Optimization: Run A/B tests, collect data, perform statistical analysis, and assess the impact of your optimizations. Communicate the results to both peers and leaders. Product & Service Innovation: Collaborate with business planners to propose innovative AI-driven products and services. Ensure that AI s power is fully integrated into new services. Infrastructure Collaboration: Work with infrastructure architects to streamline systems and improve data governance for agile and responsive data manipulation. Research & Thought Leadership: Introduce cutting-edge academic or industry research to Intuit leadership to solve complex problems and fuel new business opportunities. Mentorship & Community Building: Serve as an advisor and mentor, helping to grow and nurture a vibrant AI practice within the organization. Qualifications Education: MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field. Experience: 5+ years of experience building AI systems using data mining algorithms and statistical modeling techniques, including: Clustering, Classification, Regression, Decision Trees, Neural Networks, Support Vector Machines, Anomaly Detection, Recommender Systems, Sequential Pattern Discovery, Text Mining, and more. 2+ years of experience in a lead or management role within AI/Data Science. Technical Skills: Proficient in Python and familiar with version control systems like Git/GitHub. Experience with distributed computing and distributed databases (e.g., Hadoop, NoSQL, Hive, Pig). Strong understanding of mathematical concepts and the ability to apply them to create original solutions. Preferred: PhD in a related field. Proven experience working with large-scale machine learning techniques and datasets. Deep experience with Hadoop and related programming environments. Strong problem-solving skills and the ability to communicate complex ideas to both technical and non-technical stakeholders. Soft Skills: Excellent communication skills and experience influencing at an executive level. Strong interpersonal skills for collaborating with technical teams and making impactful presentations to diverse stakeholders. This is an exciting opportunity to be part of a highly innovative team at the forefront of AI and machine learning. You'll be solving complex, high-impact problems that directly influence customer experiences across multiple industries. The role offers the chance to lead cutting-edge AI projects while mentoring a talented team and driving the development of transformative AI-powered solutions. Qualification : MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.

Position Summary To be a team lead and senior analyst who can work on multiple project streams for a client and applies Analytics for better business decision making especially in the area of Pharma (domain). Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the onshore/ client stakeholders to define the algorithm, break down the problem into execution steps, and run the analysis. Ensure high-quality analytics solutions/reports to the client. Project scoping, solution brainstorming and design, execution, and communication of the analysis in the client-ready formats. Lead/ contribute/ support to the RFPs/ proposals working with US stakeholders/ Axtria s client partner team. Manage and mentor the team, plan their learning and career progression. Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation. Education BE/B.Tech Work Experience Overall, 7-10 years of rich experience in marketing analytics with 5+ years of good hands-on experience in Market Mix Modeling / Promotion Response Modeling / Test & Control. Proficiency in Statistical and Probabilistic methods such as multivariate regression, hierarchical modelling, Mixed Effect modelling, SVM, Decision-Trees, Random Forest, etc. Hands-on experience in Python, and strong storyboarding skills. Good communication skills- verbal and written. Experience in leading engagements of scale, team, managing deliverables/ timelines and risk. Priority to the candidates with Marketing Mix modeling in the Pharmaceutical / Life Sciences Domain. Knowledge of Pharma data sets (sales/ promotions/ customer master) in the US/ ex-US is deeply appreciated. Attitude and willingness to learn, accept the challenging environment and have confidence in delivering results within timelines. Should be inclined towards self-motivation and self-driven to find solutions to problems. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Problem Solving Lifescience Knowledge Communication Project Management Attention to P&L Impact Business development Capability Building / Thought Leadership Scale of revenues managed / delivered Scale of Resources Managed

Job Title: Senior Software Engineer Role Overview: The Senior Software Engineer is responsible for the design, development, maintenance, and optimization of software applications and solutions. This role involves applying scientific methods to solve complex software engineering challenges while driving innovation and industrialization. The ideal candidate is a highly experienced professional with strong leadership skills, capable of making strategic decisions, mentoring teams, and managing challenging technical and business environments. Key Responsibilities: Software Development & Engineering: Lead the design, development, and implementation of high-quality, scalable, and efficient software solutions. Apply scientific methods to analyze and solve complex software engineering problems. Drive best practices in software architecture, coding, and system optimization. Innovation & Thought Leadership: Stay at the forefront of technology trends and industry innovations. Promote industrialization and automation in software development. Implement cutting-edge tools, frameworks, and methodologies to improve efficiency and performance. Project & Business Strategy: Align software development with business objectives and client needs. Take full responsibility for critical projects, ensuring delivery within timelines and quality standards. Consider the bigger picture when making key technical and business decisions. Demonstrate strong commercial acumen and negotiation skills in complex situations. Collaboration & Stakeholder Management: Build and maintain long-term partnerships with clients and stakeholders. Work closely with cross-functional teams to ensure seamless project execution. Act as a trusted advisor in technical, business, and strategic discussions. Leadership & Mentorship: Provide guidance, mentorship, and training to software engineering teams. Play an active role in the recruitment and development of talent. Lead by example, fostering a culture of excellence, collaboration, and innovation. Required Skills & Competencies: Extensive experience in all phases of the software development lifecycle. Proven expertise in software design, development, and optimization. Strong problem-solving, decision-making, and analytical abilities. Ability to manage complex projects and challenging environments with professionalism. Demonstrated leadership balancing business, technical, and people objectives. Excellent communication, negotiation, and client management skills. This is a strategic role for an experienced software engineer who can drive technical excellence, business success, and team growth within Capgemini.