Job Title: Staff Engineer- MLOps Company: Stryker Job Category: Machine Learning Roles & Responsibilities: We are in search of a skilled and experienced Staff MLOps Engineer to join our team, with a focus on building systems and applications that interact with AI models in a cloud\-native Azure environment, with Azure Machine Learning (Azure ML) at the core of our ML platform. In this position, you'll be responsible for designing, developing, and maintaining software applications that flawlessly integrate with state\-of\-the\-art AI and machine learning technologies. What You Will Do: * Design, develop, and maintain high\-performance, scalable MLOps systems and pipelines that interact with AI models and systems.Build and operate end\-to\-end ML workflows on Azure Machine Learning, including training pipelines, experiment tracking, model registry, and managed online/batch endpoints. * Cooperate with cross\-functional teams, including data scientists, AI researchers, and AI/ML engineers, to understand requirements, define project scope, and ensure alignment with business goals.Contribute technical expertise in evaluating, selecting, and implementing software technologies, tools, and frameworks in a cloud\-native (Azure \+ Azure ML) environment. * Troubleshoot and resolve intricate software problems, ensuring optimal performance and reliability when interfacing with AI/ML systems. * Participate in software development project planning and estimation, ensuring efficient resource allocation and timely solution delivery. * Contribute to the development of continuous integration and continuous deployment (CI/CD) pipelines. * Contribute to the development of high\-performance data pipelines, storage systems, and data processing solutions. * Implement monitoring and observability for deployed models and platform services (performance, data/model drift, reliability), with dashboards and reporting in Power BI and Grafana. * Contribute to the creation and maintenance of technical documentation, including design specifications, API documentation, data models, data flow diagrams, and user manuals. Mentor junior engineers and promote MLOps and software engineering best practices across the team. Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually. Work Location: Karnataka, India Availability: Full time
Job Title: Software Engineer Company: Lowe's Home Improvement Job Category: Machine Learning Roles & Responsibilities: JOB DESCRIPTION Innovate in Bengaluru Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India Lowe’s Demand Forecasting team, commonly known through its Lowe’s Internal Forecast Tool (LIFT), develops and operates data\-driven forecasting capabilities that improve demand\-planning accuracy and reduce manual intervention. The team applies time\-series analysis and AI/ML models to support supply\-chain efficiency, inventory optimization, and fulfillment decisions. Its forecasts span weekly item\-location demand across Lowe’s stores, store\-level sales for labor planning, new\-store sales estimates, truck arrivals, and transportation shipment volumes. The team’s work is central to inventory ordering, allocation, replenishment, and exception management. By incorporating trends, seasonality, and market intelligence, it creates demand and sales forecasts that support planning partners across supply chain, merchandising, inventory fulfillment, and transportation. The primary purpose of this role is to design, build, and operate scalable software and machine learning solutions that enable Data \& AI\-driven products. The role combines strong software engineering fundamentals with ML/MLOps, data engineering, cloud\-native development, and AI\-enabled engineering practices. The engineer will contribute across the full Software Development Lifecycle (SDLC), from solution design and development through testing, deployment, production support, and continuous improvement. Key responsibilities include building robust data and feature pipelines, productionizing and scaling ML models, optimizing model training and inference, and implementing model monitoring and lifecycle management. Key Responsibilities * Design, develop, test, deploy, and support scalable, secure, and maintainable software and ML solutions, including backend services, APIs, cloud\-native applications, data integrations, and ML\-enabled services supporting Forecasting and AI products. * Translate business and functional requirements into technical designs and high\-quality implementations, contributing across the full Software Development Lifecycle (SDLC). * Build and maintain data ingestion, transformation, preprocessing, feature engineering, and post\-processing pipelines to support ML model training, experimentation, and inference. * Partner with Data Scientists and Data Engineers to translate model requirements into production\-ready engineering solutions and ensure high\-quality, reliable data is available for model development and execution. * Support the end\-to\-end ML lifecycle, including experimentation, model registration and versioning, testing, deployment, orchestration, inference, and ongoing model management using enterprise AI/ML platforms. * Develop and maintain CI/CD and automation pipelines for software, data pipelines, and ML models to enable reliable and repeatable testing and deployments. * Implement monitoring and observability for applications, data pipelines, and ML models, including system health, data quality, model performance and drift, and operational metrics. * Optimize software, ML workloads, and data pipelines for performance, scalability, reliability, and cost efficiency across cloud and enterprise platforms. * Apply engineering best practices including secure coding, code reviews, automated testing, documentation, performance optimization, data governance, security, and compliance. * Support production systems through monitoring, incident resolution, root\-cause analysis, troubleshooting, and continuous reliability improvements. * Collaborate with Product, Data Science, Data Engineering, Architecture, Security, Infrastructure, and business teams to deliver reliable Forecasting and AI capabilities that support business decision\-making. * Participate in technical design discussions and code reviews, contribute to engineering standards, share knowledge with team members, and evaluate modern technologies, AI\-enabled development tools, and automation to continuously improve software quality and engineering productivity. * 0-1 years of experience writing technical documentation in a software environment and developing and implementing business systems within an organization * Apache Airflow, Cloud Composer * GCP cloud experience, Big Query * Trino/Presto * Experience working on Data Quality/Integrity theme, Tools like Great Expectations. * Domain experience on retail forecasting or any other business forecast predictions/time series forecasting. Work Location: Karnataka, India Availability: Full time
Job Title: Manager-Data Science Company: Cognizant Job Category: Machine Learning Roles & Responsibilities: Data Science \& AI/ML Lead About The Role As a Data Science \& AI/ML Lead , you will make an impact by leading the design, development, and optimization of enterprise AI solutions that transform experimental models into scalable, production\-grade capabilities. You will be a valued member of the AI Engineering team and work collaboratively with architects, data engineers, cloud specialists, and business stakeholders to deliver innovative AI\-powered solutions. In This Role, You Will * Lead the development of AI and machine learning solutions, including data preparation, model training, fine\-tuning, and deployment strategies. * Design and implement scalable data pipelines to curate, cleanse, and prepare structured and unstructured data for machine learning and foundation model training. * Build and optimize complex agentic AI workflows using modern orchestration frameworks to drive intelligent automation and decision\-making. * Architect advanced Retrieval\-Augmented Generation (RAG) solutions, including semantic search, vector embeddings, re\-ranking strategies, and document retrieval optimization. * Establish robust evaluation and benchmarking frameworks to measure model accuracy, reliability, safety, and performance while collaborating on cloud\-native AI deployments. Work model For Hybrid Roles We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring \[X] days a week in a client or Cognizant office in \[Location] . Regardless of your working arrangement, we are here to support a healthy work\-life balance through our various wellbeing programs. Work Location: Hyderabad, Telangana, India Availability: Full time
Job Title: Senior Specialist - Architecture Company: LTM Limited Job Category: Machine Learning Roles & Responsibilities: Role description The primary responsibility of this role is to maintain support monitor and optimize existing AIML solutions models and MLOps pipelines ensuring reliability performance and business continuity Additionally the candidate should be able to develop and implement enhancements new features and continuous improvements based on evolving business requirements Feature Engineering Model Development Model Monitoring Drift Detection Performance Tracking Maintain support monitor and optimize existing AIML solutions and MLOps pipelines Develop predictive models and data science solutions for business problems Implement enhancements new features and continuous improvements Establish MLOps best practices covering model training deployment monitoring and retraining Strong understanding of ML lifecycle management and production AI systems Excellent analytical problemsolving and stakeholder management skills Work Location: Karnataka, India Availability: Full time
Job Title: Senior Data Scientist-Data Science-AA&I Company: Definitive Healthcare, India Job Category: Machine Learning Roles & Responsibilities: Role: Data Scientist / Senior Data Scientist Job Description Responsibilities * Expertise in custom projects focused on prescription and claims\-based reporting and modeling using * Partner with the Product and Customer Success teams to deliver informed analyses to customers. * Create deliverables to assist with customer engagements. * Collaborate with fellow team members to implement optimized solutions. * Contribute to internal projects and processes. * Collaborate with global team to create deliverables. * Mentor junior analysts and help drive best practices. * Independently scope client requests ISMS Responsibilities * Comply with information security policies and processes * Report security weaknesses, events or potential events, or other security risks, to the organization * Execute all tasks related to information security management system as appropriate * Industry leading products * Work hard, and have fun doing it * Incredibly fast growth means limitless opportunity * Flexible and dynamic culture * Work alongside some of the most talented and dedicated teammates * A collaborative and friendly culture with very high employee engagement * Company Name: AnalyticalWizards Services Pvt. Ltd. * Profile: A leading, high growth Analytics Software Development company developing products that touch and positively impact human lives across the globe. We are headquartered in New Jersey and have a software development and delivery center in Bangalore. Our work is mainly focused on Healthcare Industry. We develop core data science products that help our clients draw unique insights from their big data and achieve their business goals. We use advanced algorithms in the space of artificial intelligence and machine learning. Our technology\-based software products are being used by the top pharma and biotechnology companies of the world. We have been recognized twice as one of fastest growing private companies of USA. * Work Culture: Employee\-friendly, collaborative, innovative, fast\-paced, and conducive to learning * Company Address: AnalyticalWizards Services Private Limited, Fortune Summit Business Park, Ground Floor, Hosur Road, Sector 6, HSR Layout, Roopena Agrahara, Bangalore \- 560068 * Industry: Software Development and Data Science Work Location: Karnataka, India Availability: Full time
Job Title: Intern Company: Emerson Job Category: Machine Learning Roles & Responsibilities: In This Role, Your Responsibilities Will Be: * Design and develop automated workflows using Microsoft Power Automate to improve business efficiency. * Support the development of business applications using Microsoft Power Apps. * Create dashboards, reports, and data visualizations using Microsoft Power BI. * Assist with the development and enhancement of internal digital portals and user experiences * Collaborate with cross\-functional stakeholders to understand business needs and identify automation opportunities * Support data preparation, reporting automation, and analytics initiatives using tools such as Python and other digital technologies * Contribute to continuous improvement projects focused on operational excellence and process optimization * Explore emerging technologies, including artificial intelligence, Microsoft Copilot, and cloud\-based solutions, and support proof\-of\-concept activities. Integrate solutions across Microsoft 365 applications, including SharePoint, Teams, Outlook, and Excel * For This Role, You Will Need: At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams working together are key to driving growth and delivering business results. Work Location: Pune, India Availability: Full time
Job Title: Manager-Data Science Company: Cognizant Job Category: Machine Learning Roles & Responsibilities: * Build GenAI applications using Python for tasks like chatbots, summarization and intelligent automation. * Develop and fine tune LLMs and ML models for classification, prediction, and decision support. * Design solutions using embeddings, vector search, and retrieval augmented generation (RAG). * Deploy models using Azure Machine Learning and Azure OpenAI scale with Azure Functions and Cognitive Services. * Integrate AI systems with APIs, enterprise data platforms and business workflows. Work Location: Chennai, Tamil Nadu, India Availability: Full time
Job Title: Applied Scientist Company: Amazon Job Category: Machine Learning Roles & Responsibilities: Description Help millions of authors around the world get their books published, discovered, and supported. As one of the first scientists on our new team in Bengaluru, you'll help turn ideas into models authors rely on every day, building agentic solutions with large language models (LLMs), multimodal models, and fine\-tuning. Key job responsibilities * Build the multi\-agent system behind KDP's author support assistant: orchestration across specialized agents and tools, personalization, and the evaluation that drives its continuous improvement. * Build multimodal models of book attributes, and use them for similar\-book search across languages, catalog quality, and category and keyword recommendations. * Post\-train open models on KDP expertise (for example with supervised fine\-tuning and reinforcement learning), and deploy them where they beat general\-purpose models on accuracy, cost, or speed. * Work closely with our scientists in the US and with engineering partners to take your work to production, design rigorous offline and online experiments, and write clear readouts with recommendations. About The Team Kindle Direct Publishing (KDP) lets anyone publish a book. We are the science organization for Amazon's Books business, now building our science teams in Bengaluru. Our team works in three connected areas: a support assistant that answers authors' questions from their own account data, in every language KDP supports; multimodal models that use book attributes to keep the catalog trustworthy and help authors reach the right readers; and fine\-tuned models that power the assistant and catalog models with KDP expertise. We serve authors, from first\-time writers to full\-time publishers. You will work closely with engineering, product, and policy partners. We value safety before speed and shared foundations over one\-off fixes. Scientists here get dedicated time for innovation, which can lead to patents and conference papers. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: TGT Computer Science/ AI Teacher (CBSE Subject Code 417) Company: S.T. International School Job Category: Machine Learning Roles & Responsibilities: S.T. International School is looking for a dynamic, tech\-savvy, and passionate educator to lead our Skill Education department for Secondary Classes. The ideal candidate will be responsible for teaching the CBSE Artificial Intelligence (Subject Code 417\) elective curriculum, establishing "AI Readiness," and mentoring students in Python programming and capstone project development. Key Responsibilities: * Curriculum Delivery: Effectively teach the CBSE Artificial Intelligence (Code 417\) syllabus, covering core domains like Data Literacy, Computer Vision, Natural Language Processing (NLP), and AI Ethics. * Python Programming Instruction: Guide students through practical Python programming, including variables, conditional statements (if\-else), loops, lists, and statistical data manipulation. * Lab \& Practical Management: Maintain the computer lab, oversee the internal practical assessments (50 marks), and ensure students complete their mandatory Python lab files (minimum 15 programs per class). * Project Mentorship: Guide Class students in creating Capstone Projects and portfolios aligned with the United Nations Sustainable Development Goals (SDGs) for their internal board marks. * Employability Skills: Teach Part A of the CBSE skill curriculum, focusing on communication, self\-management, ICT, entrepreneurship, and green skills. Work Location: In person Work Location: India Availability: Full time
Job Title: AI/ML Engineer (Data Engineering + AI Focus) Company: A.P. Moller - Maersk Job Category: Machine Learning Roles & Responsibilities: A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. In this role as an AI/ML Engineer within the Global Data \& Analytics (GDA) team, you will build and scale data\-intensive AI/ML solutions that power intelligent decision\-making across Maersk’s supply chain ecosystem. This role combines strong data engineering foundations with applied AI/ML expertise, enabling the development of robust data pipelines, scalable ML systems, and production\-grade AI applications. Key Responsibilities: * Partner with business, product, and engineering teams to define scalable data and AI/ML solutions aligned with measurable business outcomes. * Design, build, and maintain robust data pipelines and data platforms using Python, Spark/PySpark, and cloud\-native services. * Develop and deploy end\-to\-end AI/ML solutions, including data ingestion, feature engineering, model training, evaluation, and production deployment. * Architect and optimize large\-scale data processing systems on cloud platforms (Azure/AWS), ensuring performance, reliability, and cost efficiency. * Implement and manage MLOps and DataOps practices, including CI/CD pipelines, model versioning, monitoring, and automated retraining. * Work with LLMs and Generative AI systems, integrating them into production workflows using frameworks such as LangChain, LlamaIndex, or similar. * Design and maintain data models (batch and streaming) that support analytics, reporting, and AI use cases. * Ensure data quality, governance, and observability across pipelines and ML systems. * Optimize infrastructure and workloads for cost, scalability, and performance, including efficient use of compute and storage. * Collaborate with engineering teams to deploy solutions using containerization and orchestration (Docker, Kubernetes). * Mentor junior engineers and contribute to engineering excellence through code reviews and best practices. * 7\+ years of experience across Data Engineering and AI/ML engineering in production environments. * Strong programming skills in Python and SQL, with hands\-on expertise in Spark/PySpark for large\-scale data processing. * Deep experience with cloud platforms (Azure or AWS), including services for data engineering, ML, and distributed systems (e.g., Databricks, Synapse, EMR, S3, ADF, etc.). * Hands\-on experience in building and deploying scalable data pipelines and ML systems. * Strong understanding of data modeling (data lakes, lakehouse, warehouse, medallion architecture). * Experience with MLOps frameworks (e.g., MLflow) and production model lifecycle management. * Practical experience with LLMs / Generative AI applications, including RAG, document processing, or workflow automation. * Experience with containerization (Docker) and orchestration (Kubernetes). * Strong understanding of system design, scalability, and cost optimization in cloud environments. * Experience with data quality, observability, and monitoring frameworks. * Ability to translate business problems into scalable technical solutions with measurable impact. * Prior experience in logistics, supply chain, or operations is a plus. * Experience in simulation, optimization, or operations research is an added advantage. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com. CORE SKILLS Programming: Writing code to manipulate, analyze, and visualize data, often using languages like Python, R, and SQL. Proficiency Level: Proficient AI \& Machine Learning: Creating systems that can perform tasks that typically require human intelligence. Using Machine learning (ML), a subset of AI that uses algorithms to learn from and make predictions based on data Proficiency Level: Proficient Data Analysis: Inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support decision\-making Proficiency Level: Foundational Machine Learning Pipelines: Using automated workflows that manage the end\-to\-end process of training and deploying machine learning models. Proficiency Level: Proficient Model Deployment: Making a trained machine learning model available for use in production environments. Proficiency Level: Proficient SPECIALIZED SKILLS Big Data Technologies: Using continuous integration and continuous delivery (CI/CD) pipelines to automate the process of software development, including building, testing, and deploying code Natural Language Processing (NLP): Focusing on the interaction between computers and humans through natural language. Data Architecture: Designing and structuring of data systems, ensuring that data is stored, managed, and utilized efficiently Data Processing Frameworks: Using tools and libraries to process large data sets efficiently, such as Apache Hadoop and Apache Spark. Technical Documentation: Creating and maintaining documentation that explains the functionality, use, and maintenance of software or systems. Deep Learning: Using a subset of machine learning involving neural networks with many layers, used to model complex patterns in data. Statistical Analysis: Collecting and analyzing data to identify patterns and trends, and to make informed decisions. Data Engineering: Designing and building systems for collecting, storing, and analyzing data at scale. Definition of Proficiency Levels: Foundational: This is the entry level of the skill, typically expected when starting a new role or working with the skill for the first time. You rely on strong manager support, coaching, and training as you build the capability to progress to higher proficiency levels. Proficient: This is the level at which you are considered effective in the skill. You demonstrate more than just functional competence—you begin to have a noticeable impact in your role by applying the skill consistently and meaningfully. You require only minimal support, coaching, or training to apply the skill successfully. Advanced: This is the level where you move beyond meeting expectations to actively leading, influencing, and delivering considerable impact across the wider business. You are seen as a role model, demonstrate the skill independently, and require little to no manager support. Work Location: Bengaluru, Karnataka, India Availability: Full time
