Job Title: Lead Data Scientist Company: Ecolab Job Category: Machine Learning Roles & Responsibilities: Role Summary As a Lead Data Scientist, you will lead the design, development, validation, and operationalization of machine learning and advanced analytics solutions that power intelligent products and business capabilities. This role combines strong hands\-on expertise in model development with practical experience in MLOps, deployment, monitoring, and lifecycle management. You will work closely with product managers, domain experts, engineers, architects, and platform teams to turn business problems into scalable, production\-grade ML solutions. In addition to building models, you will guide feature engineering strategies, experimentation approaches, validation standards, and production\-readiness practices to ensure models are reliable, explainable, and maintainable in real\-world environments. This role is ideal for someone who is equally comfortable developing models, operationalizing them in production, and mentoring others to raise the maturity of data science and ML engineering practices across the team.. Key Responsibilities * Lead the design, development, evaluation, and deployment of machine learning models for predictive, classification, recommendation, anomaly detection, forecasting, and optimization use cases * Translate business and product requirements into well\-defined analytical approaches, model strategies, feature sets, evaluation methods, and deployment plans * Build robust and reusable pipelines for data preparation, feature engineering, model training, validation, hyperparameter tuning, and model packaging * Develop and operationalize production\-grade ML solutions with strong focus on reproducibility, maintainability, scalability, and measurable business impact * Partner with data engineers and software engineers to integrate models into applications, APIs, workflows, and downstream business systems * Design and implement MLOps practices including experiment tracking, model versioning, automated deployment, CI/CD for ML, monitoring, drift detection, retraining strategies, and rollback readiness * Establish model performance baselines and monitor production behavior for accuracy, drift, latency, stability, explainability, and business outcomes * Contribute to best practices for model governance, feature lineage, documentation, testing, interpretability, and responsible AI * Guide technical decisions on ML solution design, operationalization patterns, and production support expectations * Mentor other data scientists and ML engineers on modeling rigor, experimentation practices, and production\-readiness standards * Contribute reusable assets such as feature templates, modeling utilities, evaluation frameworks, deployment patterns, and internal accelerators * Work with tools and platforms such as Azure Machine Learning, Databricks, MLflow, Azure DevOps, GitHub, Docker, Kubernetes, Azure Functions, Azure Container Apps, Azure Monitor, and Application Insights (or equivalent platforms and tools) Preferred Qualifications * Experience leading complex ML initiatives involving multiple models, cross\-functional teams, and production operationalization * Experience with time\-series forecasting, optimization, recommender systems, anomaly detection, NLP, or domain\-specific applied AI use cases * Familiarity with LLM\-assisted analytics, embeddings, retrieval\-enhanced ML workflows, or hybrid ML \+ GenAI solution patterns * Experience integrating ML solutions into enterprise applications, APIs, business workflows, and digital products * Experience with feature stores, explainability frameworks, responsible AI toolkits, and model governance controls * Familiarity with Azure OpenAI, Azure AI Studio, Azure AI Search, or equivalent platforms where ML and GenAI capabilities coexist * Experience contributing reusable frameworks, MLOps standards, internal accelerators, or shared data science utilities * Working knowledge of distributed training, large\-scale data processing, and performance optimization in production environments * Experience with advanced MLOps and platform tooling such as MLflow, Kubeflow, Azure ML, TensorBoard/ TensorFlow Extended, or equivalent ecosystem tools * Experience operating in a build\-own\-operate product environment with strong expectations around reliability, observability, supportability, and continuous improvement * Ability to influence architectural and platform decisions for ML\-enabled products while remaining hands\-on in model development and operationalization Work Location: Bengaluru East, Karnataka, India Availability: Full time
Job Title: Data Scientist Company: Infosys Job Category: Machine Learning Roles & Responsibilities: * Experience: 4–6\+ years delivering end\-to\-end data science projects. * Education: Master’s or PhD in Data Science, Machine Learning, Statistics, Computer Science, Applied Mathematics, or related quantitative field (required from this level onward). * Core stack: Python, Spark, Git; ML frameworks; Databricks/MLflow (or equivalent); cloud basics. * Translate business needs into ML/AI problem statements and measurable success metrics. * Develop ML models and, where relevant, GenAI components (e.g., retrieval\-augmented generation, prompt pipelines) with clear evaluation criteria. * Run evaluation: offline metrics, error analysis, bias checks, and monitoring baselines; document decisions and assumptions. * Communicate results and limitations clearly to technical and non\-technical stakeholders; support adoption in workflows. * Python (pandas, numpy) \+ Git for reproducible development * Databricks (Notebooks, Workflows) for development and orchestration * ML flow (experiments, tracking, model registry) for lifecycle management * Azure (cloud services; where relevant Azure OpenAI and Azure AI Foundry for GenAI build/evaluation) * Databricks Mosaic AI (including Mosaic AI Model Serving) for GenAI delivery in the lakehouse * Databricks Vector Search for RAG retrieval patterns * Unity Catalog for governed data and model access (where applicable) * Lakehouse Monitoring / model monitoring for quality and drift (where applicable) Work Location: Hyderabad, Telangana, India Availability: Full time
Job Title: Staff Machine Learning Engineer Company: Warner Bros. Discovery Job Category: Machine Learning Roles & Responsibilities: Roles \& Responsibilities * Own the architecture and roadmap of the model serving runtime, supporting multiple ML frameworks and inference engines behind one control plane * Lead large\-scale migrations and rollouts of production models onto the platform with zero viewer\-facing regressions * Build and maintain serving backends, model configurations and batching strategies that meet strict tail\-latency targets at high request volume * Design autoscaling, capacity management and multi\-region resilience for latency\[1]critical serving across Max, Discovery\+ and other WBD offerings * Drive observability, cost optimization and performance tuning across the serving fleet, including hardware selection, GPU and CPU utilization, and model optimization * Define the contract between model training and serving so a validated model artifact deploys to production through standard, automated paths * Establish per\-model SLOs with model owners and build the telemetry that proves them * Collaborate with applied scientists, partner engineering teams and the core infrastructure team as the platform onboards new models, runtimes and markets * Author, test, review and optimize production\-level code in Python while executing best practices in version control, CI/CD and code integration * Take part in the platform on\-call rotation and lead incident reviews that result in design changes, not just fixes * Contribute design documents and technical documentation to support architecture decisions, knowledge transfer and sharing * Mentor engineers, raise the bar in design and code reviews, and represent the platform in cross\-team architecture decisions * 9\+ years of industry experience * 5\+ years of experience building or operating production ML infrastructure or comparable low\-latency, large\-scale distributed systems with a large customer base * Hands\-on experience running model inference in production at scale * Strong Kubernetes fundamentals and experience running GPU and CPU workloads on it * Proven performance engineering skills: profiling, tail\-latency analysis, batching and concurrency under load * 7\+ years of programming experience in Python, plus working fluency in a systems language such as C\+\+, Go or Rust * Good practical knowledge of the modern machine learning lifecycle, from training artifacts through deployment, rollout and monitoring * Strong architectural and design skills, with a track record of leading multi\-quarter technical initiatives across teams * Operational maturity: experience owning a tier\-1 service, including on\-call * Experience with one of the cloud platforms AWS/GCP/Azure, Docker and Kubernetes, and CI/CD tools like GitHub Actions, Jenkins etc. * Excellent written and verbal communication skills; comfortable contributing to technical documentation and on\-call support * Ability to technically collaborate with partners across time zones We embrace the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable law. Work Location: Karnataka, India Availability: Full time
Job Title: Senior Staff Engineer - Design Verification Power Management Company: SiFive Job Category: Machine Learning Roles & Responsibilities: As the pioneers who introduced RISC\-V to the world, SiFive is transforming the future of compute by bringing the limitless potential of RISC\-V to the highest performance and most data\-intensive applications in the world. SiFive’s unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer. With SiFive, the future of RISC\-V has no limits.* Our constant innovation and ongoing success is down to our amazing teams of incredibly talented people, who collaborate and support each other to come up with truly groundbreaking ideas and solutions. Solutions that will have a huge impact on people's lives; making the world a better place, one processor at a time. Job Description: Key Responsibilities: * Lead the verification and optimization of our diverse RISC\-V Low Power Profiles, including UPF. * Drive and achieve quality closure targets at both the CPU and block levels. * Collaborate closely with microarchitecture and RTL design teams to optimize complex Power flows. * Provide technical leadership and mentorship to junior team members to foster team growth and enrichment. * Actively participate in the test planning and execution phases for new architecture and design features. * 10\+ Years of experience in low power or power aware or power management * Experience with hands on UVM Test Bench development is must * Experience in core uArch is highly desirable. * Experience in leading effort and driving multiple projects * Experience with power simulation on vcs and upf. * Experience with script writing in Python, Perl or Tcl. * Experience with power impact at architecture, logic design, and circuit levels. * Excellent problem solving skill and ability to work in a dynamic and diverse environment. Work Location: Bengaluru, India Availability: Full time
Job Title: Machine Learning | Entry Level | Fresher Internship (Python, Scikit-learn, Model Evaluation) Company: MediNex Workforce Job Category: Machine Learning Roles & Responsibilities: What you will do Full\-time, Monday to Saturday or as assigned by your reporting manager, with daily check\-ins and a weekly review. Work Location: India Availability: Full time
Job Title: Applied Scientist II, International Machine Learning Company: Amazon Job Category: Machine Learning Roles & Responsibilities: We are developing state\-of\-the\-art machine learning solutions to accelerate the Amazon India growth story. Amazon India is an exciting place to be at for a machine learning practitioner. We have the eagerness of a fresh startup to absorb machine learning solutions, and the scale of a mature firm to help support their development at the same time. As part of the India Machine Learning team, you will get to work alongside brilliant minds motivated to solve real\-world machine learning problems that make a difference to millions of our customers. We encourage thought leadership and blue ocean thinking in ML. Key job responsibilities Design, develop, evaluate and deploy, innovative and highly scalable ML models Work closely with software engineering teams to drive real\-time model implementations Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large\-scale complex ML models in production Leading projects and mentoring other scientists, engineers in the use of ML techniques About The Team International Machine Learning Team is responsible for building novel ML solutions that attack India first (and other Emerging Markets across MENA and LatAm) problems and impact the bottom\-line and top\-line of India business. Learn more about our team from https://www.amazon.science/working\-at\-amazon/how\-rajeev\-rastogis\-machine\-learning\-team\-in\-india\-develops\-innovations\-for\-customers\-worldwide Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Software Engineer Company: Cisco Job Category: Machine Learning Roles & Responsibilities: * Build AI applications and agents: Develop and evaluate industrial applications and agentic workflows using LLMs, SLMs, machine learning, computer vision, RAG, MCP, and tool calling. * Apply AI to industrial networking and security: Develop capabilities for smarter network operations, troubleshooting, observability, anomaly detection, and threat detection. * Develop Edge AI: Fine\-tune, optimise, and deploy ML models and SLMs on edge platforms, balancing model quality, memory, compute, and latency for reliable on\-device inference. * Practice AI\-first product development: Use coding agents and agentic workflows across design, implementation, debugging, testing, and review. Collaborate with domain and AI engineers to deliver reliable software, validating correctness, performance, and security. You approach engineering with an AI\-native mindset, use coding agents and automation thoughtfully, and take responsibility for correctness, security, and quality. You are curious about industrial systems and eager to learn the networking and platform context your work requires. If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior Data Engineer Company: Equifax Job Category: Machine Learning Roles & Responsibilities: Manage Preferences Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. Synopsis of the role Equifax is seeking a Senior Data Engineer to join our world\-class Entity Resolution/Keying \& Linking team within India Data \& Analytics. The ideal candidate is an analytical engineer who bridges the gap between software development and data science—possessing the programming skills to scrape, merge, and manage diverse data streams, alongside the statistical mindset to extract meaningful insights. You will combine technical execution with creative problem\-solving to build reliable data prototypes and uncover patterns within complex data. If you have a solid foundation in mathematics or statistics and a passion for data mining and machine learning, we want to hear from you. * Pipeline Engineering: Build and manage reliable data pipelines to aggregate, ingest, and process data from diverse source systems. * Data Integration \& Quality: Integrate, cleanse, and structure large datasets for analytical consumption and client solutions, implementing automated checks to troubleshoot data anomalies. * Model Support: Apply an understanding of data characteristics to develop tracking processes that support data quality and entity resolution models. * Cloud \& Infrastructure: Leverage and implement Google Cloud Platform (GCP) technologies, keeping up with cloud advancements to propose optimization improvements. * Data Governance: Implement data management, security, and maintenance best practices directly into pipeline workflows. * Global Teamwork: Collaborate actively with regional and global Equifax teams to share insights, standardize workflows, and adopt best practices. At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best. Work Location: Karnataka, India Availability: Full time
Job Title: Data Scientist I Company: Mastercard Job Category: Machine Learning Roles & Responsibilities: Our Purpose Mastercard powers economies and empowers people in 200\+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.* Title And Summary Data Scientist I Overview Global Risk and Compliance contributes towards the risk and compliance portfolios of Mastercard. Compliance program works towards Transaction Monitoring in the fields of Anti Money Laundering, Regulatory compliance requirements etc. We are looking at implementing an AI based solution to support increased transaction monitoring for AML activities. If you are the one who enjoys solving problems in a challenging environment, and who has the desire to take their career to the next level. If any of these opportunities excite you, we would love to talk. Role * Implement generative AI models and applications for AML transaction monitoring use cases. * Build advanced solutions leveraging Retrieval\-Augmented Generation (RAG), Model Context Protocol (MCP), tool calling, and LangChain/LangGraph for dynamic workflows. * Develop machine learning pipelines for fine\-tuning large language models (LLMs) and other foundation models. * Implement content generation systems for text, image, and multimodal outputs. * Apply computer vision techniques for image analysis, creative generation, and visual search. * Implement evaluation frameworks for GenAI applications, including hallucination detection, bias checks, and quality scoring. * Build observability and monitoring solutions for AI systems, including latency, cost tracking, and model performance metrics. * Build scalable solutions on cloud platforms (AWS, Azure) and leverage data platforms like Databricks. * Integrate AI models into production systems with a focus on performance, security, and compliance. * Stay current with the latest advancements in AI/ML research, particularly in generative AI, and apply them to real\-world problems. * Promote engineering best practices and contribute to a culture of innovation and collaboration. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Work Location: Pune Division, Maharashtra, India Availability: Full time
Job Title: Software Engineer C++ Company: Global Payments Job Category: Machine Learning Roles & Responsibilities: Summary of This Role ------------------------ Works throughout the software development life cycle and performs in a utility capacity to create, design, code, debug, maintain, test, implement and validate applications with a broad understanding of a variety of languages and architectures. Analyzes existing applications or formulate logic for new applications, procedures, flowcharting, coding and debugging programs. Maintains and utilizes application and programming documents in the development of code. Recommends changes in development, maintenance and system standards. Creates appropriate deliverables and develops application implementation plans throughout the life cycle in a flexible development environment. * Develops basic code using a front or back end programming language within a platform as directed for internal and external client software solutions. Follows program specifications for routine coding and support on a project/issue with a limited understanding of the application / database. * Assists with basic application documentation, testing and validation as directed. Performs testing and validation requirements for basic code changes and corrective measures for basic code deficiencies as directed. * Applies a basic understanding of procedures, methodology and application standards to include Payment Card Industry (PCI) security compliance. What Are We Looking For in This Role? ----------------------------------------- * BS in Computer Science, Information Technology, Business / Management Information Systems or related field * Professional experience in coding, designing, developing and analyzing data Development Tools \- Eclipse, Visual Studio, Webpack, Babel, Gulp Mobile Development – iOS, Android Work Location: Maharashtra, India Availability: Full time
