Job Title: MGR SYSTEMS ARCHITECT - INDIA Company: Lumen Job Category: Machine Learning Roles & Responsibilities: The Role ------------ Team Management: Mgr. Systems Architects manage a team of 6 to 10 Sr. system architects, lead architects, and associate managers, assigning them to the right Agile Release Trains (ARTs). Production Performance and Stability: They maintain full awareness of application performance in production environments, participate in SWAT calls to address stability issues, and help document root causes. The Main Responsibilities ----------------------------- * Manage a team of 6 to 10 Sr. system architects / lead architects / associate mgr system architects and assign to right ARTs. * Guide and enable the team to deliver designs efficiently * Enable system architects in the team to own and contribute towards achieving business goals and technical debt. * Understand overall system design and roadmap * Drive architectural initiatives and identify opportunities for optimization * Oversee, mentor and guide reportees. * Identify areas where POCs are required and assign to reportees as appropriate and track the same to completion. * Mgr System Architects manage reportees working across ARTs. * Ensure technology alignments across ARTs; align teams of multiple ARTs to a shared technical direction by working with respective ART System architects * Confirm Capability meets Definition of Ready (DoR) before approving for multiple ARTs * Attend and participate in Mass Markets Architecture Review Boards * Review Capability estimates by working closely with other system architects across ARTs. * Ensure ART system designs adhere to Lumen Enterprise IT roadmap, guidelines, principles * Review critical enabler Features and NFRs created by ART architects * Engage with other system architects and establish an integrated technical design * Engage with outside vendors to ensure design success * Engage system architects to review designs and ensure complete end to end success (ie. Omni channel, flow through, etc.) * Actively participate in the Continuous Exploration (keeping up with the industry) process as part of the Continuous Delivery Pipeline, especially with Enabler Epics * Collaborate with their application/service development team, Load and Performance team, chaos engineering team, SRE SPOC etc. * Have full awareness of application/service performance in production environment, upstream / downstream applications, database performance characteristics etc. * Participate in Proactive / Reactive SWAT calls to address production stability issues, help teams on identifying and documenting accurate root cause of issues. * Review ART technical enabler Feature content * Review ART environment performance, stability, and scalability targets * Review critical nonfunctional requirements. Provide inputs based on production stability, performance issues, bottle necks, User experience issues, security etc. * Review ART system designs focused on system components which align to the larger end state designs * Review ART technical system design documents * Review deisgn of subsystems and their interfaces; allocate responsibilities to subsystems; understand design deployment; communicate requirements for interactions within design context. * Review ART data flow, sources, storage, format * Review technical and architectural vision for the ARTs and provide inputs to system architects * Minimum 10 years of software development experience, with deep expertise in C#, .NET / .NET Core, ASP.NET Core, Entity Framework / EF Core, and LINQ. * At least 3 years in a solution/application architect role, an engineering manager role, or both. * Proven experience designing and delivering enterprise applications on Microsoft Azure. * Strong expertise in microservices, API design, distributed systems, and design patterns (including SOLID, domain-driven design, CQRS, and event-driven architecture). * Deep experience with Microsoft SQL Server: data modeling, complex T-SQL, stored procedures, indexing, query and performance tuning, execution plans, and transaction and locking behavior. * Experience with GitHub, GitHub Actions, and modern CI/CD and DevOps practices. * Strong knowledge of application security, including OAuth 2.0, OpenID Connect, Azure AD / Entra ID, secrets management, and secure handling of sensitive financial data. * Experience with observability and production support tools such as Application Insights and Azure Monitor. * Experience leading Agile/Scrum teams using Jira (Confluence is a plus). * Excellent communication and stakeholder management skills, with experience working across time zones with US-based leadership and business teams. * A leader who balances hands-on technical depth with strong people management. * A strategic thinker who can set a clear technical direction and turn it into practical delivery plans. * Someone who builds trust across teams and time zones through clear, proactive communication. * A mentor who enjoys developing engineers and raising the bar for the whole team. * Someone excited to help the team adopt cloud and AI in a responsible, business-focused way. Life at Lumen is human and connected, even in a fast moving, AI‐focused organization. We set clear expectations and trust people to meet them. With real support and shared accountability, teams collaborate better, move faster, and deliver meaningful outcomes. The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions. Work Location: Karnataka, India Availability: Full time
Job Title: AI Trainer Company: NEW VISION GLOBAL INDUSTRIES PRIVATE LIMITED Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities ● Ability to engage learners and support them throughout the training process. Work Location: Hybrid remote in Coimbatore, Tamil Nadu Work Location: Tamil Nadu, India Availability: Full time
Job Title: Lead Data Scientist Company: Accenture in India Job Category: Machine Learning Roles & Responsibilities: Job Title - Lead Data Scientist - Level 9 - ACS Song Management Level: Level 9 – Lead/Specialist Location: Kochi Must have skills: Data Science and Machine Learning Good to have skills: Experience: 1-2 years of experience is required Educational Qualification: Graduation (Accurate educational details should capture) Job Summary We are seeking a Senior Data Scientist specializing in production-grade Machine Learning model development and deployment with 1-2 years of experience in data science, machine learning, statistical modeling, and applied AI solutions. The role will focus on designing, developing, validating, and operationalizing machine learning models that solve real business problems and are deployed into production environments rather than limited proof-of-concept implementations. The ideal candidate should have hands-on experience with at least one major cloud platform such as Azure, GCP, or AWS, along with strong knowledge of Python, ML frameworks, model evaluation, feature engineering, MLOps, and production model monitoring. This position requires close collaboration with data engineers, ML engineers, architects, product teams, and business stakeholders to deliver scalable, reliable, explainable, and business-impact-driven ML solutions. Roles And Responsibilities * Develop, validate, and deploy machine learning models that are production-ready and aligned with business objectives. * Translate business problems into analytical, statistical, and machine learning solutions with measurable outcomes. * Apply strong MLOps practices to ensure models are versioned, monitored, retrained, governed, and maintained after deployment. * Collaborate with engineering and business teams to move ML solutions from experimentation to scalable production implementation. * Identify business problems and design appropriate machine learning, statistical, or AI-based approaches to solve them. * Build, train, validate, and optimize machine learning models using production-ready data science and engineering practices. * Perform feature engineering, model selection, hyperparameter tuning, model evaluation, explainability analysis, and performance benchmarking. * Deploy ML models into production environments in collaboration with ML engineers, data engineers, DevOps teams, and cloud platform teams. * Monitor production models for performance, data drift, model drift, bias, latency, reliability, and business impact. * Work experience with cloud platforms such as Azure, GCP, or AWS for model development, training, deployment, experimentation, and monitoring. * Communicate model outcomes, limitations, risks, assumptions, and business value clearly to technical and non-technical stakeholders. * 1-2 years of experience in data science, machine learning, applied AI, statistical modeling, or related roles. * Hands-on experience developing and deploying ML models into production environments, not only proof-of-concept or experimental setups. * Experience working with cloud-based ML platforms or services on Azure, GCP, or AWS. * Proven experience applying machine learning to real-world business problems with measurable outcomes. Industry specialization in Retail, Ecommerce and Automotive is a plus. * Strong programming skills in Python, (or R) for data science, machine learning, experimentation, and production-oriented development. * Strong understanding of supervised learning, unsupervised learning, classification, regression, clustering, forecasting, anomaly detection, and model evaluation techniques. * Hands-on experience with ML libraries and frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, MLflow, or similar tools. * Good knowledge of SQL and experience working with structured, semi-structured, and large-scale datasets. * Experience with feature engineering, data preprocessing, model explainability, bias evaluation, and performance optimization. * Familiarity with cloud ML services such as Azure Machine Learning, GCP Vertex AI, AWS SageMaker, or equivalent platforms. * Experience with Git, experiment tracking, CI/CD concepts, model registries, containerization, logging, monitoring, and production release workflows. * Strong understanding of the end-to-end ML lifecycle from problem framing and experimentation to deployment and monitoring. * Experience with model versioning, experiment tracking, model registry, reproducible pipelines, and automated model evaluation. * Ability to design and support batch inference, real-time inference, scheduled retraining, and model performance monitoring. * Understanding of model governance, responsible AI, data privacy, explainability, auditability, and secure handling of model artifacts. * Ability to troubleshoot production issues related to model degradation, data quality, drift, latency, scalability, and prediction accuracy. * Strong analytical, troubleshooting, and problem-solving skills. * Ability to work effectively with architects, product owners, data engineers, backend developers, DevOps teams, and business stakeholders. * Strong communication skills (English) with the ability to participate in technical discussions and explain implementation approaches clearly. * Proactive mindset with ownership of assigned features, production issues, experimentation, and continuous improvement. * Comfortable working in agile teams and participating in sprint planning, technical discussions, demos, code reviews, and implementation activities. Work Location: Kochi, Kerala, India Availability: Full time
Job Title: Data Engineer Company: Moody's Job Category: Machine Learning Roles & Responsibilities: If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. * 2-3 years of experience in developing and managing large-scale data infrastructure and AI applications * Proficiency in designing and implementing scalable, fault-tolerant data infrastructure on AWS using services such as AWS Redshift, RDS, Glue, EMR, and other related tools * Advanced skills in Python, PySpark, and SQL for efficient data manipulation and processing along with experience with data modelling and database design (SQL and NoSQL) * Familiarity with big data technologies (e.g., Apache Spark, Hadoop) and real-time data processing solutions * Understanding of data governance, data quality, and security best practices * Knowledge of data streaming technologies such as Kafka, AWS Kinesis, or equivalent * Ability to work directly with data scientists, analysts, and cross-functional teams to understand business requirements and translate them into technical solutions * Excellent communication, leadership, and problem-solving skills Responsibilities As a Data Engineer, you will play a pivotal role in designing, building, and maintaining reliable data infrastructure, including pipelines and workflows that support business functions and advanced analytics. This role is crucial in ensuring the seamless integration and operation of our AI and data infrastructure. * Design, implement, and maintain robust, scalable, and fault-tolerant ETL/ELT processes leveraging AWS services (e.g., Redshift, RDS, Glue, EMR) * Develop and optimize data workflows using Python, PySpark, and SQL, ensuring top performance * Work closely with data scientists, analysts, and stakeholders to gather data requirements while delivering effective solutions * Ensure adherence to best practices related to data governance, quality, and security across all data pipelines * Automate and optimize data processing tasks to improve reliability and reduce manual intervention * Drive adoption of emerging big data technologies, cloud engineering, and automation practices * Provide technical mentoring and guidance to junior team members as required * Foster a culture of teamwork, openness, and innovation within and across teams Moody’s Ratings’ AI Analytics group develops advanced machine learning (ML) and generative AI solutions for high-profile data science initiatives. The successful candidate will guide teams in building robust, scalable, and secure solutions on AWS. The successful candidate will strive to meet Moody’s values: openness, diversity, inclusivity, respect, and a willingness to learn. Work Location: Bengaluru, India Availability: Full time
Job Title: AI or ML Engineer Company: Optum Job Category: Machine Learning Roles & Responsibilities: Primary Responsibilities: * Apply structured, hypothesis-driven problem solving, with guidance, to translate well-defined business questions into analytical approaches * Analyze healthcare data from one or a limited number of sources to identify trends and opportunities for improvement across cost, quality, and growth * Summarize findings into clear, decision-ready insights with a quantified business impact, typically reviewed by a senior analyst before distribution * Support stakeholders in a matrixed COE environment by gathering requirements, documenting problem statements, and helping align on priorities * Communicate insights clearly to operational audiences; assist senior analysts in preparing executive-facing storytelling * Help identify and flag opportunities for optimization for review and prioritization by senior team members * Support analytical delivery tasks such as data exploration, feature engineering, and results interpretation under supervision * Collaborate with data engineering and data platform teams to support data availability, quality, and usability for assigned use cases * Contribute to reusable analytical assets, frameworks, and best practices as directed by senior team members * Ensure analytical outputs are accurate and reliable, with clearly documented assumptions and limitations * Support process improvements to reduce low-value or redundant work * Assist in educating stakeholders on data-driven decision making and evidence-based practices * Works with well-defined, moderately complex issues * Developing as a resource to others within the immediate team * Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements Work Location: Haryana, India Availability: Full time
Job Title: Lead Data Scientist Company: slice Job Category: Machine Learning Roles & Responsibilities: About the role We are looking for a Lead Data Scientist with strong foundations in Machine Learning, Deep Learning, and Generative AI to lead the design, development, and deployment of scalable AI-driven solutions. This is hands-on technical expertise with system design capabilities, architectural thinking, and the ability to translate business problems into practical ML and GenAI applications. What You will do * Design, develop, train, evaluate, and deploy Machine Learning and Deep Learning models for real-world business applications. * Mentor team members and promote knowledge sharing, engineering quality, and continuous learning. * Build LLM-powered applications, including intelligent chatbots, Retrieval-Augmented Generation (RAG) systems, and Agentic AI workflows. * Develop, fine-tune, evaluate, and optimize ML models and LLMs, leveraging GPU infrastructure where required. * Design scalable ML architectures, reusable pipelines, and end-to-end workflows covering data processing, model training, deployment, and monitoring. * Apply strong software engineering and low-level design principles to build modular, reusable, maintainable, and high-performance AI systems. * Integrate LLMs into applications using LangChain or similar frameworks, along with embeddings, vector databases, and retrieval techniques. * Architect and optimize production-grade AI systems, considering scalability, reliability, latency, performance, and cost. * Collaborate with Data Scientists, Engineering teams, Product Managers, and business stakeholders to translate business requirements into effective AI solutions. * Evaluate emerging AI technologies, identify opportunities for AI-driven automation, and contribute to the technical roadmap for GenAI and Agentic AI initiatives. * Drive technical excellence through architecture reviews, best practices, knowledge sharing, and mentoring team members. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Machine Learning Engineer - Time Series Analysis Company: Swasti Job Category: Machine Learning Roles & Responsibilities: About The Role We're looking for a hands-on ML engineer to build and ship models across our sensor-driven product ecosystem, working closely with the ML Lead on digital signal processing, computer vision, and time series problems. You're comfortable taking a model from an early prototype through to a reliable, production-deployed system. * Build and iterate on ML models for time series, audio signal, and sensor fusion problems, under the guidance of the ML Lead * Build and maintain data preprocessing and feature engineering pipelines that prepare sensor data for training and inference at scale * Package and deploy models into production, including on edge or embedded compute, with attention to latency and resource constraints * Run structured experiments to evaluate model accuracy, generalization, and failure modes, and document findings clearly * Support monitoring and retraining pipelines that track model performance and drift after deployment * Work closely with firmware, hardware, and app teams to turn model outputs into clear, actionable product insight * Ship models that run on real hardware, on real dogs - not just in a notebook * Learn directly from the ML Lead while owning real pieces of the roadmap * Take ownership early, with a direct line to the people building the rest of the product * Join a small, fast-moving team building a category-defining, sensor-driven product Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior AI/ML Engineer Company: Optum Job Category: Machine Learning Roles & Responsibilities: Primary Responsibilities: * Apply structured, hypothesis-driven problem solving to translate business questions into analytical approaches and clear insights * Analyze complex, multi-source healthcare data to identify trends, drivers, and opportunities for improvement across cost, quality, and growth * Synthesize findings into clear, decision-ready recommendations with a solid "so what" and quantified business impact * Partner with stakeholders in a matrixed COE environment to shape problem statements, align on priorities, and drive adoption of insights * Communicate insights through compelling storytelling tailored to executive and operational audiences * Identify and prioritize opportunities for optimization * Support end-to-end analytical delivery, including data exploration, feature engineering, model development (as applicable), and results interpretation * Collaborate with data engineering and data platform teams to ensure data availability, quality, and usability for analytics use cases * Contribute to development of reusable analytical assets, frameworks, and best practices that scale impact across the COE * Ensure analytical outputs are accurate, reliable, and aligned to business context, with clear assumptions and limitations * Continuously improve analytic approaches, streamline processes, and reduce low-value or redundant work * Support the development of data-driven decision making by educating stakeholders and promoting evidence-based practices * Works with less structured, more complex issues * Serves as a resource to others * Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements Work Location: Haryana, India Availability: Full time
Job Title: Business Analytics Analyst- Generative AI Company: Citi Job Category: Machine Learning Roles & Responsibilities: Citi Analytics and Information Management (AIM) Citi AIM was established in 2003 and is located across multiple cities in India - Bengaluru, Chennai, Gurugram and Pune. It is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytic methodologies. Role Description: The Business Analytics Analyst (C10) is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams. * Drive Digital Marketing, Product Sales & Engagement: + Develop and execute sophisticated digital marketing strategies to significantly grow digital product sales and increase customer footfall and stickiness on our platforms. + Analyze user behavior and campaign performance to identify new opportunities for engagement and revenue generation. * Optimizing Digital Servicing Channels (Website & Mobile App): + Conduct deep-dive analyses of our website and mobile app to identify and eliminate points of friction in the customer service journey, making them more intuitive, efficient, and user-friendly. + Analyze customer interaction data to find opportunities to streamline the digital experience, reducing the need for customers to resort to calls or chats. * Leverage Advanced Analytics and AI: + Apply Gen-AI powered analysis to enhance customer interactions, particularly in areas like Chatbot performance and personalized user experiences. + Design, develop, and implement advanced GenAI solutions using techniques such as prompt engineering, Retrieval-Augmented Generation (RAG), and Agentic AI models with frameworks like LangChain and LangGraph. + Use analytical intelligence to uncover deep insights that inform strategies for reducing our cost-to-serve and improving overall efficiency across the customer lifecycle. * Fostering a Culture of Experimentation: + Lead the industrialization and enhancement of our "Test & Learn" capability, enabling the rapid design, execution, and measurement of experiments for new digital features and marketing campaigns. + Utilize A/B testing, multivariate testing, and other experimentation techniques to generate actionable insights and drive continuous improvement. Responsibilities: * Interpret complex data sets to identify significant trends, patterns, and anomalies, translating these into clear, concise, and impactful insights that support informed decision-making for business partners and senior leadership. * Identifies and compiles data sets using a variety of tools (e.g. SQL, Python, PySpark) to help predict, improve, and measure the success of key business to business outcomes. * Utilize statistical methods and analytical tools to extract meaningful insights from large and complex datasets. * Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis, which may include utilizing statistical models / algorithms and data visualization techniques. * Incumbents in this role may often be referred to as Data Scientists. Decision Management Work Location: Karnataka, India Availability: Full time
Job Title: Senior Applied Scientist, Amazon Core Search Company: Amazon Job Category: Machine Learning Roles & Responsibilities: As Amazon expands to new interfaces, we are faced with the unique challenge of maintaining the bar on Search Assistance and Search Quality. We are looking for a Senior Applied Scientist to work on improving search on Amazon using NLP, ML, and DL technology. As an Applied Scientist, you will lead our efforts in search autocomplete — developing high-quality suggestions. You will build systems that anticipate search query intent and surface the right suggestions and results. As part of this role, you will develop high precision, high recall, and low latency solutions for search. Your solutions should work for all languages that Amazon supports and will be used in all Amazon locales world-wide. You will develop scalable science and engineering solutions that work successfully in production. You will work with leaders to develop a strategic vision and long term plans to improve search globally. Key job responsibilities * Develop and deploy ML models to produce high-quality, diverse search autocomplete suggestions. * Design and train semantic matching models (bi-encoders, cross-encoders, and distillation from large foundation models) for suggestion ranking and relevance. * Develop reinforcement learning and reward-modeling approaches to continuously improve suggestion quality. * Train multi-objective ranking and scoring systems that balance suggestion diversity, specificity, and relevance. * Design and implement scalable model architectures optimized for strict latency constraints, including knowledge distillation, quantization, and efficient inference strategies for production deployment. * Lead end-to-end science projects from problem formulation through production launch, mentoring scientists and collaborating closely with engineers and scientists within and outside the team to deliver customer-facing impact. Work Location: Bengaluru, Karnataka, India Availability: Full time
