Job Title: Expert Machine Learning Engineer (Agentic AI, SAP BTP) Company: SAP Job Category: Machine Learning Roles & Responsibilities: As a critical part of SAP’s AI Transformation journey, the mission of the CPIT Order\-to\-Cash (O2C) Team is to drive the implementation of the company’s strategy and achievement of shared business objectives through world class end\-to\-end business processes and systems. Amongst the team’s key objectives are to innovate, standardize, simplify, and automate SAP’s core business processes and assure continuous alignment with the SAP IT portfolio and business stakeholders. In all activities, closing the loop from strategy to execution is key to driving impact for SAP and for our customers. About The Role We are looking for an Expert AI/Agentic Engineer who combines deep hands\-on engineering excellence with a strong architectural mindset. You will design, build, and operate enterprise\-grade AI/ML and Generative AI solutions within the SAP ecosystem \- spanning intelligent assistants, AI copilots, agentic workflows, and RAG\-powered applications. You are first and foremost an engineer who writes production\-quality code, and you bring the architectural thinking to ensure what you build scales, performs, and lasts. You will work at the intersection of cutting\-edge AI engineering and SAP's technology landscape, contributing to systems that deliver measurable business impact. What You Will Do AI/GenAI Engineering \& Architecture * Design and build scalable LLM\-powered applications, intelligent assistants, and AI copilots aligned to business transformation goals. * Architect and implement advanced RAG pipelines, knowledge retrieval systems, and agentic / multi\-agent workflows using commercial and open\-source models. * Write clean, well\-tested, production\-grade code across the full AI application stack \- from data ingestion and embedding pipelines to orchestration logic, API layers, and evaluation harnesses. * Integrate vector databases, semantic search, prompt orchestration, tool/function calling, memory, and context\-aware reasoning into enterprise\-grade solutions. * Optimize prompts, inference pipelines, and evaluation frameworks; contribute to fine\-tuning, alignment, and model optimization efforts. * Independently design scalable, AI\-native application systems \- moving quickly from ambiguity to working, deployable prototypes and iterating through execution. SAP Ecosystem Integration * Build agentic workflows on SAP AI Core and integrate LLM\-based features into CAP /Fiori applications with strong coding standards and maintainability. * Design and implement AI agents for enterprise domains \- including formula explanation, computation assistance, and analytical workflows \- using SAP AI Core and Python as the primary stack; CAP/Java as secondary. * Contribute to the design of ontology\-grounded agents that encode business rules, formula structures, and domain relationships as structured knowledge, enabling reliable agent reasoning beyond prompt\-only approaches. * Architect and deploy solutions on SAP BTP, with hands\-on experience in multi\-tenant SaaS patterns (MTX, service\-manager, IAS/AMS). * Knowledge of SAP Business Data Cloud (BDC) \- including data products, HANA Data Lake, Delta Sharing, and the semantic layer \- is a strong advantage. Platform, LLMOps \& Observability * Establish and implement LLMOps practices covering deployment, monitoring, observability, governance, and guardrails \- with hands\-on implementation, not just design. * Instrument OTEL tracing across microservice fleets and build Cloud Logging dashboards for cross\-service visibility. * Optimize latency, throughput, and cost efficiency \- including HANA Cloud query optimization and AI Core inference cost management. * Apply SRE principles in practice: monitoring, alerting, incident response, and root cause analysis. * Build and own evaluation and benchmarking frameworks that measure AI system quality, reliability, and performance \- including domain\-specific test harnesses validating LLM outputs against known good results. Research, Innovation \& Collaboration * Contribute to PoCs, accelerators, and reusable AI solution ; actively participate in innovation incubation. * Support publication of technical white papers and assets; contribute to patent ideation where applicable. * Partner with platform, data, product, and business teams to design robust, production\-ready solutions. * Mentor junior engineers, conduct rigorous code reviews, and raise the engineering bar across the team. Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end\-to\-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose\-driven and future\-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Requisition ID: 459241 \| Work Area: Software\-Design and Development \| Expected Travel: 0 \- 10% \| Career Status: Professional \| Employment Type: Regular Full Time \| Additional Locations: Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior – MLE – Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx Company: UPS Job Category: Machine Learning Roles & Responsibilities: Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. About This Role We are seeking passionate Senior Machine Learning Engineers to design, develop, and deploy ML models and pipelines that drive business outcomes. You’ll work closely with data scientists, software engineers, and product teams to build intelligent systems that are robust, scalable, and aligned with UPS’s strategic goals. You will contribute across the full ML lifecycle—from data exploration and feature engineering to model training, evaluation, deployment, and monitoring. You’ll also help shape our MLOps practices and mentor junior engineers. Key Responsibilities * Design, deploy, and maintain production\-ready ML models and pipelines for real\-world applications. * Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra\-as\-code with Terraform/Helm. * Implement automated retraining, drift detection, and re\-deployment of ML models. * Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML. * Implement model monitoring, observability, and alerting across accuracy, latency, and cost. * Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases. * Ensure pipelines are secure, compliant, and cost\-optimized. * Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance. * Mentor junior engineers and contribute to long\-term ML platform architecture design and technical roadmap. * Stay current with the latest ML research and apply new tools pragmatically to production systems. * Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems. Work Location: Chennai, Tamil Nadu, India Availability: Full time
Job Title: AI / ML Engineering Intern Company: OneRx Job Category: Machine Learning Roles & Responsibilities: Role Description • Cover routine monitoring and run\-books with support from the team Work Location: Ahmedabad, Gujarat, India Availability: Full time
Job Title: PGT Computer Science Company: Dronaverz India LLP Job Category: Machine Learning Roles & Responsibilities: Position: Post Graduate Teacher (PGT) – Computer Science Department: Senior Secondary (Grades XI \& XII) Board: CBSE Reporting To: Principal / Academic Coordinator Employment Type: Full\-Time Purpose of the Role To facilitate effective teaching\-learning processes in Computer Science, enabling students to develop computational thinking, programming skills, problem\-solving abilities, and readiness for CBSE Board Examinations and future technology careers. Key ResponsibilitiesAcademic Responsibilities Student Development * Foster analytical thinking, logical reasoning, and innovation among students. * Mentor students for projects, coding competitions, exhibitions, and career guidance. * Support students in academic and personal growth through regular counseling and feedback. * Encourage participation in coding clubs, hackathons, and technology\-based activities. Administrative Responsibilities * Maintain computer lab inventory and equipment records. * Participate in staff meetings, parent\-teacher meetings, training programs, and school events. * Contribute to curriculum development and academic planning. * Ensure adherence to school policies, CBSE guidelines, and child safeguarding norms. Key Performance Indicators (KPIs) * Board Examination Results. * Student Academic Progress. * Completion of Syllabus as per Academic Calendar. * Effective Implementation of Practical Sessions. * Student Participation in Technology Events. * Quality of Documentation and Record Maintenance. * Parent and Student Feedback. Work Location: In person Work Location: Trichy, India Availability: Full time
Job Title: Senior Data Scientist - AI/ML Company: ZF Group Job Category: Machine Learning Roles & Responsibilities: Job description: Job Description • Familiar with implementing RAG (Retrieval\-Augmented Generation) architecture for sophisticated AI applications Why you should Choose ZF Group in India : • Innovation and Technology Leadership: ZF is at the forefront of technological advancements, offering a dynamic and innovative work environment that encourages creativity and growth. • Diverse and Inclusive Culture: ZF fosters a diverse and inclusive workplace where all employees are valued and respected, promoting a culture of collaboration and mutual support. • Career Development: ZF is committed to the professional growth of its employees, offering extensive training programs, career development opportunities, and a clear path for advancement. • Global Presence: As a part of a global leader in driveline and chassis technology, ZF provides opportunities to work on international projects and collaborate with teams worldwide. • Sustainability Focus: ZF is dedicated to sustainability and environmental responsibility, actively working towards creating eco\-friendly solutions and reducing its carbon footprint. • Employee Well\-being: ZF prioritizes the well\-being of its employees, providing comprehensive health and wellness programs, flexible work arrangements, and a supportive work\-life balance. Work Location: Chennai, Tamil Nadu, India Availability: Full time
Job Title: Manager AI/ML Engineering Company: Optum India Job Category: Machine Learning Roles & Responsibilities: Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities * Design, develop, and deploy advanced GenAI and NLP solutions to solve complex business and healthcare problems, using state‑of‑the‑art transformer models, LLMs, and modern ML frameworks * Lead research, evaluation, and integration of new LLMs (GPT, Claude, Gemini, Anthropic), vector search technologies, prompt‑engineering techniques, and enterprise GenAI platforms * Build and optimize Retrieval‑Augmented Generation (RAG) systems using vector databases (FAISS, Pinecone, Chroma), improving grounding, retrieval accuracy, and overall system reliability * Architect and implement agentic AI workflows using frameworks like LangGraph, AutoGen, CrewAI, or Semantic Kernel, enabling single‑agent and multi‑agent systems for reasoning, planning, and tool‑calling * Drive the development of high‑quality NLP pipelines\-including tokenization, embeddings, seq‑to‑seq models, evaluation metrics, and domain adaptation\-with a focus on performance, scalability, and robustness * Perform advanced data analysis, preprocessing, and feature engineering to ensure data quality, reduce noise, and improve model reliability * Develop and maintain scalable big‑data pipelines for ingestion, processing, and analysis, working with structured and unstructured datasets * Optimize model inference, latency, and throughput, including integration with LLM gateways, guardrails, filters, and enterprise evaluation frameworks * Scientist Responsibilities: (manager discretion if AI responsibilities are already present in JD): + Collaborate with research, engineering, and product teams to translate cutting\-edge AI advancements into production\-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle * Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re\-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Staff Software Engineer Company: Experity Job Category: Machine Learning Roles & Responsibilities: We are looking for a Staff Software Engineer, RCM AI Automation \& Platform to provide technical leadership and help shape the next generation of Experity’s RCM technology. In this role, you will lead the design and evolution of platform capabilities spanning multiple RCM workflows , including backend services, APIs, integrations, event\-driven and long\-running workflows, configurable business rules, data, and AI\-enabled automation supporting charge entry, claims processing, claim submission, rejection and denial resolution, payments, and other parts of the revenue cycle. You will work closely with Product Managers, RCM Operations, Software Engineers, Architects, Data teams, and QA to translate complex healthcare business workflows into scalable, maintainable software solutions. ### Architecture \& Technical Leadership * Define and evolve the technical architecture for RCM automation capabilities spanning multiple products, services, workflows, and integrations. * Lead technical design for complex, high\-impact initiatives where requirements, system boundaries, or implementation approaches may initially be ambiguous. * Establish reusable patterns for workflow orchestration, state management, business rules, integrations, event processing, AI\-enabled automation, observability, and failure recovery. * Identify where capabilities should become reusable platform services versus remaining workflow\- or product\-specific implementations. * Drive technical decisions across service boundaries and work with architects and engineering teams to ensure solutions fit Experity's broader platform architecture. * Evaluate architectural tradeoffs involving scalability, reliability, maintainability, security, cost, speed of delivery, and operational complexity. * Reduce unnecessary technical complexity and prevent one\-off solutions from becoming long\-term platform liabilities. * Design, develop, test, deploy, and operate scalable production software supporting Experity’s Revenue Cycle Management workflows. * Build backend services and REST APIs using TypeScript, Node.js, and cloud\-native technologies. * Contribute to modern web applications when needed using technologies such as React, Next.js, and TypeScript. * Design and implement event\-driven, queue\-based, and asynchronous workflows with explicit state management, retries, redrive, exception handling, idempotency, and auditability. * Design long\-running RCM workflows that support state transitions, human\-in\-the\-loop processing, exception handling, replay/recovery, workflow versioning, and compensation or reversal when appropriate. * Ensure workflow designs can evolve across multiple RCM use cases without creating tightly coupled or duplicated implementations. * Build integrations with Experity applications, healthcare clearinghouses, payer systems, and third\-party RCM services. * Design reliable interfaces for claims, payment, eligibility, rejection, denial, and other healthcare transaction workflows. * Define integration patterns and contracts that improve consistency, resilience, traceability, and reuse across RCM systems. * Develop configurable business rules and workflow capabilities that replace logic currently distributed across application code, spreadsheets, and operational processes. * Build rules and workflow capabilities that are configurable, versioned, explainable, auditable, and safe to change without introducing unnecessary application dependencies. * Guide the architecture of reusable rules, workflow, and exception\-management capabilities rather than embedding business logic independently within individual services. * Work with claims, financial, and operational data to improve automation, identify exceptions, and measure business outcomes. * Integrate Generative AI, LLMs, agents, retrieval, and machine learning capabilities where they provide measurable value, while using deterministic software and business rules where those approaches are more appropriate. * Build AI\-enabled capabilities using clearly defined tools, APIs, contracts, permissions, validation, evaluation, observability, and fallback paths rather than treating LLMs as standalone solutions. * Define architectural patterns for safely incorporating AI agents into production RCM workflows, including tool boundaries, authorization, human\-in\-the\-loop controls, deterministic guardrails, evaluation, fallback behavior, and auditability. * Help teams determine where AI adds measurable value and where conventional software, workflow orchestration, rules, or machine learning are more appropriate. * Drive reusable AI integration patterns so individual teams do not independently create incompatible agent, tool, retrieval, or evaluation architectures. * Use modern AI\-assisted software development practices for codebase exploration, development, testing, debugging, documentation, and engineering productivity while maintaining appropriate engineering review and quality standards. * Build observability, automated testing, security, operational controls, and failure recovery into software from the beginning. * Design systems with healthcare security, PHI protection, least\-privilege access, auditability, and safe operational logging in mind. * Define reliability and observability standards across RCM services and workflows, including traceability across asynchronous and distributed processing. * Lead technical investigation of complex production issues that cross application, integration, data, infrastructure, or workflow boundaries. * Identify systemic causes behind recurring incidents and drive platform\-level improvements rather than repeatedly addressing symptoms. ### Engineering Leadership \& Influence * Serve as a technical leader and trusted engineering partner across RCM initiatives without requiring direct people\-management responsibility. * Mentor engineers through architecture reviews, design discussions, code reviews, debugging, and complex technical decisions. * Raise engineering quality by establishing practical standards, reusable patterns, reference implementations, and technical guidance. * Influence engineering roadmaps by identifying foundational technical investments, architectural risks, scalability constraints, and modernization opportunities. * Partner with Product and RCM Operations to challenge assumptions, simplify workflows, and ensure technology decisions address the underlying business problem rather than simply automating existing processes. * Own critical software through production and continuously improve it based on system behavior, operational feedback, and business results. * Measure the impact of engineering improvements through outcomes such as automation rate, exception rate, manual touches, processing time, rejection/denial resolution time, successful resubmission, payment outcomes, and system reliability. * 8\+ years of professional software engineering experience, with significant experience designing and operating complex production systems. * Demonstrated experience operating at a senior technical leadership level—leading architecture and technical direction across multiple engineers, services, or initiatives. * Strong software engineering fundamentals, including application design, testing, debugging, code review, and maintainability. * Deep experience building backend services, REST APIs, distributed applications, and transaction\-processing systems. * Proficiency with TypeScript, Node.js, or comparable modern backend technologies. * Experience with relational databases, SQL, data modeling, and transactional systems. * Strong experience developing and operating cloud\-hosted applications, preferably on AWS. * Deep understanding of asynchronous processing, queues, events, distributed\-system failure modes, retries, idempotency, consistency, and resilient system design. * Experience architecting long\-running workflow or orchestration systems involving state management, exceptions, retries, recovery, and human intervention. * Experience with automated testing, CI/CD pipelines, observability, and secure software development practices. * Ability to design systems and technical contracts that remain maintainable as teams, workflows, integrations, and transaction volumes grow. * Ability to reason across application, platform, integration, data, security, and operational boundaries rather than optimizing a single service in isolation. * Ability to investigate highly ambiguous problems using production behavior, data, logs, architecture, and user workflows. * Demonstrated ability to influence technical decisions across teams through technical credibility, communication, design artifacts, and collaboration rather than organizational authority. * Experience mentoring engineers and raising the technical capability of a broader engineering team. * Strong collaboration and communication skills with the ability to work across engineering, product, operations, architecture, data, and executive stakeholders. * Experience using modern AI\-assisted software development tools and workflows while maintaining engineering quality, security, and accountability. * Healthcare Revenue Cycle Management, medical billing, claims, rejections, denials, eligibility, remittance, payment processing, or claim remediation. * Healthcare claims transactions and standards such as 837, 835, CARC/RARC, or related payer/clearinghouse workflows. * Waystar or other healthcare clearinghouse integrations. * Healthcare, HealthTech, FinTech, insurance, payments, or other high\-volume transactional environments. * Architecture of workflow orchestration, rules engines, state machines, or exception\-management platforms used across multiple products or business processes. * Event\-driven architectures and large\-scale distributed systems. * Incremental modernization of legacy platforms while maintaining production continuity and avoiding high\-risk rewrites. * Production use of Generative AI, LLMs, AI agents, retrieval\-augmented generation, or machine learning. * AI orchestration frameworks, structured tool use, MCP or similar tool protocols, and agentic workflows. * Human\-in\-the\-loop automation where AI or software recommendations require review, approval, correction, or escalation. * Architecture and governance of production AI/agent systems, including evaluation, guardrails, tool authorization, observability, and fallback strategies. * Snowflake or other cloud\-native data platforms. * Docker, Kubernetes, and containerized application deployment. * Data\-intensive application development and distributed data processing. * Experience working with HIPAA\-regulated systems, PHI, audit requirements, or other highly regulated environments. * Backend: TypeScript, Node.js, Python * Frontend: React, Next.js, TypeScript, Tailwind CSS * Cloud \& Platform: AWS, Docker, Kubernetes, CI/CD * Architecture: REST APIs, queues, events, asynchronous workflows, distributed services * Data: SQL, Snowflake * AI: AWS Bedrock, LLM APIs, retrieval, structured tool use, Generative AI, and agentic workflows * Integrations: Waystar, Experity EMR and Practice Management, payer systems, and third\-party RCM services We want engineers who understand the problem they are solving, not just the ticket they are implementing. We are building an AI\-native engineering culture. Engineers are expected to use modern AI development tools thoughtfully to accelerate delivery and improve quality while retaining ownership of architecture, code quality, testing, security, and production outcomes. This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. Work Location: Karnataka, India Availability: Full time
Job Title: Data Architect – Snowflake/Databricks Company: Systango Job Category: Machine Learning Roles & Responsibilities: Systango is a technology company listed on the NSE, delivering innovative digital solutions across Generative AI, AI/ML, Data Engineering, Analytics, Blockchain/Web3, Cloud, and FinTech. We partner with global clients to build scalable, secure, and high\-performance technology solutions.Role Overview ----------------- We are looking for an experienced Data Architect with strong expertise in Snowflake/Databricks to design and lead the implementation of scalable, cloud\-native data platforms. The ideal candidate will combine deep technical expertise in modern data architecture with hands\-on experience in data engineering, cloud ecosystems, data governance, and enterprise data strategy. You will work closely with engineering teams, business stakeholders, and client\-facing teams to translate business requirements into robust data architectures that support analytics, reporting, and AI/ML use cases.Key Responsibilities ------------------------ * Data Architecture: Define end\-to\-end data architecture, including data lakes, lakehouses, modern data warehouses, data marts, and enterprise data platforms. * Snowflake \& Databricks: Design and optimize data solutions using Snowflake OR Databricks, selecting appropriate architectural patterns based on business and technical requirements. * Data Engineering: Architect scalable batch and streaming pipelines, ETL/ELT workflows with medallion architecture, data transformations using dbt, and orchestration frameworks. * Cloud Platforms: Design data solutions on AWS, Azure, or GCP, integrating cloud storage, compute, security, and networking services. * Data Modelling: Define conceptual, logical, and physical data models, including dimensional modelling, Data Vault 2\.0, and normalized data structures. * Performance \& Cost Optimization: Optimize query performance, compute utilization, storage, workload management, and overall platform costs. * Data Governance \& Security: Establish standards for data quality, lineage, metadata management, access control, encryption, privacy, and regulatory compliance. * Architecture Standards: Define reusable architecture patterns, engineering best practices, coding standards, CI/CD processes, and data platform design principles. * Technical Leadership: Mentor data engineers and technical leads, conduct architecture reviews, and guide teams through complex technical decisions. * Stakeholder Collaboration: Work with product owners, business stakeholders, and clients to understand requirements and communicate architectural decisions effectively. * AI \& Analytics Enablement: Build data foundations that support BI, advanced analytics, machine learning, and Generative AI applications, including RAG and vector search use cases where applicable. Work Location: Madhya Pradesh, India Availability: Full time
Job Title: Sr Machine Learning Engineer Company: Amgen Job Category: Machine Learning Roles & Responsibilities: India \- Hyderabad JOB ID: R\-246932 LOCATION: India \- Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Oct. 28, 2026 CATEGORY: Engineering ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting\-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE We are seeking a Senior Machine Learning Engineer, Forecasting to join the Forecasting team within the AI \& Data organization. This role will design, build, deploy, and maintain scalable machine learning systems that power forecasting capabilities and uncertainty\-aware decision support across the company. This senior member of the team will work cross\-functionally to translate advanced forecasting methods into reliable, production\-grade solutions that support critical business processes and help Amgen deliver on its “every patient, every time” mandate. The role is particularly well suited to a strong engineer who is excited about building robust ML infrastructure, productionizing state\-of\-the\-art forecasting models, and enabling decision\-support solutions that inform multi\-horizon planning and business decision\-making. Key Responsibilities * Design, build, and maintain scalable machine learning systems and forecasting pipelines to support demand forecasting across near\-, medium\-, and long\-term planning horizons. * Productionize advanced statistical, Bayesian, and machine learning forecasting models, including training, validation, deployment, and lifecycle management. * Build and optimize data pipelines, feature engineering workflows, and batch and real\-time inference systems using large, complex datasets. * Own the end\-to\-end ML engineering lifecycle, including solution design, prototyping, model integration, testing, deployment, monitoring, observability, and continuous improvement. * Develop robust MLOps capabilities, including model versioning, CI/CD, automated retraining, performance monitoring, drift detection, and rollback strategies. * Partner closely with data scientists and business stakeholders to operationalize forecasting, simulation, and scenario\-analysis capabilities that support strategic decision\-making. * Establish and promote software engineering best practices, including code quality, documentation, reproducibility, and system reliability. * Research and evaluate emerging tools, platforms, and methodologies in machine learning engineering, forecasting, and AI for potential application to business problems. Work Location: Telangana, India Availability: Full time
Job Title: Associate Lead - AI/ML Engineer ( Python, AL/ML) - GB04 Company: Bajaj Finserv Job Category: Machine Learning Roles & Responsibilities: Roles \& Responsibilities • Contribute to the development and optimization of enterprise\-wide search systems and models. • Design and implement algorithms to improve indexing, query relevance, and search accuracy. • Support taxonomy, ontology, and metadata model creation for better search outcomes. • Work with engineers, product managers, and designers to deliver integrated search solutions. • Develop production\-grade ML systems for ranking, personalization, and recommendations. • Follow best practices in software engineering including CI/CD, testing, and monitoring. • Keep abreast of emerging developments in AI/ML to apply them in practical solutions. Work Location: Pune Division, Maharashtra, India Availability: Full time
