Job Title: Data Scientist - CPG/Revenue Growth Management Company: Asper.ai Job Category: Machine Learning Roles & Responsibilities: Asper.ai is a cutting\-edge AI\-based SaaS company focused on revolutionizing enterprise decision making, through demand planning and Revenue growth management for the Consumer\-Packaged Goods (CPG) industry. We’re looking for a highly motivated Lead Data Scientist to drive the development of next\-generation AI solutions for forecasting and revenue growth management in the Consumer\-Packaged Goods (CPG) industry. This role combines advanced machine learning, scalable AI system design, and product thinking to build enterprise\-grade solutions used by global CPG organizations. Key Responsibilities * AI/ML Solution Development * Design and develop scalable ML/AI models for: * Elasticity estimation * Demand forecasting * Forecast attribution to drivers * Time\-series anomaly detection * Simulation and constrained optimization systems Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Data Scientist – Healthcare Analytics Company: Phigital Care Job Category: Machine Learning Roles & Responsibilities: The job is a full\-time, permanent role with flexible working hours (overlap with EST required) Job Summary We need an experienced Data Scientist to join us for the long term and lead the creation of data\-driven healthcare solutions at our company. The best person for the job knows mathematical modeling, statistics, Machine Learning (ML), and Artificial Intelligence (AI), and has applied them to health data such as clinical records, claims, and cost data. They are also used to working with current frameworks and large language models (LLMs). You will use your strong problem\-solving, critical thinking, and research skills to plan and carry out complete data science projects that improve health outcomes and manage the cost of care, try out new methods, share your results, and help build intellectual property that becomes a lasting asset of the company. Some of your main duties Model Development And Deployment * Use both traditional statistical and machine learning (ML) methods and cutting\-edge artificial intelligence (AI) to design, build, and improve predictive and prescriptive models, such as health risk, cost, utilization, and disease progression models. * Use best practices for feature building and data transformation on complex health data from many sources, including diagnosis and procedure codes, lab results, pharmacy, and billing records. * Use the best frameworks and methods (like clinical NLP, prompt engineering, and LLM fine\-tuning) to solve hard data problems, such as coding free\-text diagnoses and linking patient records. Mentorship And Technical Leadership * Lead by example and push for data\-driven decisions across clinical, business, and technical teams. * Be a mentor to peer data scientists and AI engineers, helping them learn new skills and advance in their careers. * Push for best practices in code quality, version control, and being able to make changes again and again. Design And Validation Of Studies And Experiments * Do thorough tests and observational studies (A/B testing, hypothesis testing, matched controls, and other causal methods) to confirm how well models and health programs work and how they affect outcomes and costs. * Use advanced statistical methods and data visualizations to share results with clinicians, actuaries, business leaders, and other people who don't have the same level of technical knowledge. Continual Improvement * Find ways to make data pipelines better, such as how they receive, handle, store, and analyse health data, and then put those ideas into action. * Use DevOps and MLOps to make the model creation lifecycle easier, monitor models for drift, and make sure that deployments happen reliably. * Critical Thinking and Problem\-Solving: The skill of being able to break down difficult issues into manageable steps and plan experiments to test theories. + Able to work with uncertainty and quickly come up with new ideas. * Communication and teamwork: You should be able to communicate clearly both in writing and in person, and you should be able to turn complicated studies into insights that are useful for clinicians and the business. * Leadership: Proven ability to lead cross\-functional teams, get everyone on the same page, and get everyone to agree on something. * Long\-term Commitment: Motivated to own models and grow with the team over many years. * Publications and Patents: It's a plus if you have a history of writing in peer\-reviewed journals, giving talks at conferences, or patenting your own work, particularly in healthcare. * Impactful Work: You'll be able to lead projects with a lot of attention and create new data products that improve health outcomes and give the whole organization real value. * Cutting\-Edge Tools \& Research: New AI frameworks, large language models, and cutting\-edge computing tools are at your disposal. * Culture of Innovation: We urge people to try new things, learn from their mistakes, and share what they know through patent applications and publications. * Professional Growth: a long\-term role with a mentor, ongoing training, a path to lead as the team grows, and chances to show off your skills at classes, conferences, and meetups. * Flexible Working Hours: Tailor your work hours to fit your lifestyle and enhance your work\-life balance. * Work From Home: Enjoy the flexibility of working from home to increase productivity and comfort. * Laptop Provided: A high\-performance laptop to help you be productive and efficient in your work. Work Location: Bengaluru East, Karnataka, India Availability: Full time
Job Title: Engineer AI/ML Company: Empower India Job Category: Machine Learning Roles & Responsibilities: The AI/ML Engineer is responsible for designing, building, and optimizing AI and machine learning solutions within the Generative AI Platform. This role involves coding in Python and using relevant AI frameworks to develop scalable models and data pipelines. By collaborating with cross\-functional teams, the AI/ML Engineer ensures that the platform’s AI capabilities meet technical and business objectives. Essential Functions Model Development \& Deployment* * Build and deploy machine learning models using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit\-learn). * Optimize models for performance, scalability, and security. Data Pipeline Management* * Collaborate with data engineers to design robust data pipelines for model training and inference. * Validate and preprocess datasets to ensure model accuracy and reliability. This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required to perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Data Science Trainer Company: Skill floor solutions Job Category: Machine Learning Roles & Responsibilities: Job Description: Data Science Trainer Key Responsibilities Work Location: In person Work Location: Karnataka, India Availability: Full time
Job Title: AI / ML Engineer Company: Accenture in India Job Category: Machine Learning Roles & Responsibilities: Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on\-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence tools and cloud\-based AI services. The role requires managing the entire application pipeline, whether deployed on cloud platforms or on\-premises, ensuring solutions are production\-ready and scalable. The engineer integrates generative AI models into various projects, which may include deep learning architectures, neural networks, conversational agents, and image processing techniques. Collaboration with cross\-functional teams to align technical solutions with business needs is a key aspect of daily activities, alongside continuous innovation and optimization of AI\-driven systems. Roles \& Responsibilities: * Expected to be an SME, collaborate and manage the team to perform. * Responsible for team decisions. * Engage with multiple teams and contribute on key decisions. * Provide solutions to problems for their immediate team and across multiple teams. * Lead the design and implementation of AI and machine learning solutions that meet project requirements and quality standards. * Facilitate knowledge sharing and mentorship within the team to foster professional growth and technical excellence. * Coordinate with stakeholders to ensure alignment of AI initiatives with organizational goals and timelines. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Tech Consultant - AI Engineer Company: NTT DATA Job Category: Machine Learning Roles & Responsibilities: Role Summary The role will collaborate with Data Scientists, Data Engineers, Software Engineers, Architects, and business stakeholders to develop scalable AI solutions and integrate AI capabilities into enterprise applications. Day to Day Job Duties * Design, develop, test, and deploy AI/ML and Generative AI solutions for enterprise use cases. * Build and integrate LLM\-powered applications using enterprise and external data sources. * Design and implement Retrieval\-Augmented Generation (RAG) solutions. * Develop AI services, Microservices, and REST APIs using Python. * Implement prompt engineering, embeddings, vector search, and context\-management techniques. * Develop data preprocessing, feature engineering, model training, and evaluation pipelines. * Integrate AI models with enterprise applications, APIs, databases, and business workflows. * Evaluate model and LLM performance for accuracy, quality, latency, reliability, and cost. * Deploy and operate AI solutions on AWS, Azure, or Google Cloud Platform. * Implement monitoring, logging, evaluation, and observability for production AI applications. * Develop automated testing and CI/CD processes for AI solutions. * Troubleshoot production AI/ML issues and continuously improve model and application performance. * Collaborate with business stakeholders to translate business problems into practical AI solutions. * Participate in technical design discussions, code reviews, Agile ceremonies, and production releases. * Programming: Python, SQL * AI/ML: Scikit\-learn, PyTorch, TensorFlow or similar * Generative AI: LLMs, Prompt Engineering, RAG, Embeddings * AI Frameworks: LangChain, LangGraph, LlamaIndex or similar * Vector Search: Pinecone, FAISS, Chroma, pgvector or similar * API Development: REST APIs, Microservices * Cloud AI: AWS Bedrock/SageMaker, Azure AI Foundry/Azure OpenAI, or Vertex AI * Data: Data Processing, Feature Engineering, Model Pipelines * DevOps/MLOps: Git, CI/CD, Model Deployment Monitoring * Experience building Agentic AI solutions and AI agents. * Experience with tool/function calling and multi\-step AI workflows. * Knowledge of Model Context Protocol (MCP). * Experience with AWS Bedrock, Azure AI Foundry, OpenAI, or Anthropic APIs. * Experience developing production\-grade RAG solutions with retrieval evaluation and optimization. * Knowledge of vector databases and semantic search. * Experience with LLM evaluation, tracing, monitoring, and observability. * Knowledge of AI guardrails, prompt\-injection prevention, data privacy, and Responsible AI. * Experience with Docker and Kubernetes. * Familiarity with Databricks, Spark/PySpark, or Snowflake. * Experience with MLOps and model lifecycle management. * Experience in Banking, Financial Services, Insurance, Healthcare, Retail, or other enterprise domains. * Strong analytical, software engineering, communication, and problem\-solving skills. NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100\. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise\-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start\-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD. Work Location: Karnataka, India Availability: Full time
Job Title: AI and ML Engineer Company: Sandisk Job Category: Machine Learning Roles & Responsibilities: Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry\-leading portfolio of products that are recognized globally for innovation, performance and quality. Description We are seeking a talented AI/ML Engineer in Data and AI team to drive the design, development, and operationalization of machine learning and GenAI solutions across Sandisk's enterprise. In this role, you will own end\-to\-end AI/ML projects, from problem framing and data strategy through model deployment and monitoring. You will partner directly with business stakeholders to translate complex requirements into scalable, production\-grade solutions and mentor junior engineers on the team. Key Responsibilities * Design, develop, and implement machine learning models and statistical analyses to address manufacturing, supply chain, and product quality challenges. * Conduct exploratory data analysis and present actionable insights and recommendations to stakeholders. * Develop prompt engineering strategies and feedback loops for LLM optimization; capture and normalize LLM interactions into reusable Knowledge Artifacts. * Implement Retrieval\-Augmented Generation (RAG) pipelines, including document parsing, chunking, vectorization, and semantic search using embeddings and vector databases. Support domain\-specific ontologies, taxonomies, governance and versioning. * Support agentic workflows using industry\-standard frameworks for autonomous task orchestration and multi\-step reasoning, with safe and controlled execution via constraints, policies, and fallback paths. * Contribute to establishing and maintaining data quality standards, implementing validation frameworks and monitoring systems. * Support the deployment and monitoring of machine learning models in production environments, including performance tracking and drift detection. * Stay current with emerging data science technologies, methodologies, and industry trends, evaluating their applicability to organizational needs. * Support end\-to\-end project delivery, ensuring timely completion and alignment with business objectives. * Experience with Large Language Models (LLMs), prompt engineering, and GenAI application development. * Familiarity with vector databases, embedding models, and semantic search architectures. * Experience building agentic AI workflows and multi\-LLM orchestration systems. * Hands\-on experience with data visualization and business intelligence tools such as Tableau, Power BI, or equivalent platforms. * Experience using version control systems (Git) and collaborative software development practices. * Experience deploying, monitoring, or maintaining machine learning models in production environments. * Familiarity with cloud platforms (Azure, AWS, or GCP) and Lakehouse architectures (e.g., Databricks). Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: C++ Engineer 6 - 10 yrs Software Engineer Company: Applied Materials Job Category: Machine Learning Roles & Responsibilities: Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next\-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology. Bangalore,IND You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. As a Software Engineer at Applied Materials, you’ll dive deep into ground\-breaking technologies—like machine learning and AI—to craft novel software solutions that solve our customers’ high\-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors. We are seeking a highly motivated C\+\+ Linux Software Engineer to design, develop, and maintain high\-performance software applications on Linux platforms. The ideal candidate should have strong expertise in modern C\+\+, Linux system programming, multithreading, and debugging complex applications. Key Responsibilities ------------------------ * Design, develop, test, and maintain software applications using C\+\+ on Linux environments. * Develop scalable, reliable, and high\-performance system software. * Work on multithreaded and concurrent applications. * Perform code reviews and ensure adherence to coding standards and best practices. * Investigate and resolve production issues through debugging and root cause analysis. * Collaborate with cross\-functional teams including Product Management, QA, DevOps, and Architecture teams. * Optimize application performance, memory utilization, and system resources. * Participate in software design discussions and technical decision\-making. * Create and maintain technical documentation. * Linux Kernel fundamentals. * STL, Boost libraries. * Design patterns and software architecture principles. * Strong analytical and problem\-solving skills. * Excellent communication and stakeholder management skills. * Ability to work in a fast\-paced agile development environment. Work Location: Karnataka, India Availability: Full time
Job Title: Principal Data Scientist Company: Meesho Job Category: Machine Learning Roles & Responsibilities: About The Role As a Principal Data Scientist in our AdTech team, you’ll drive innovation in our advertising platform using advanced machine learning and statistical methods. You’ll tackle complex problems in real\-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our business’s bottom line. This role requires technical excellence and business acumen and you’ll collaborate with cross\-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. What You Will Do * Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI. * Create frameworks and experimental design to measure ad effectiveness and ROI. * Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions. * Communicate long\-term roadmap, insights and recommendations to tech and business leadership. * Mentor junior data scientists and provide technical guidance. * Lead research initiatives in machine learning, auction theory and advertising technology. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Associate Principal - Architecture Company: LTM Limited Job Category: Machine Learning Roles & Responsibilities: Role description Role Forward Deployed Engineer Open Source Role Description We are seeking a highly skilled Forward Deployed AI Engineer to work directly with customers understand business challenges and design develop and deploy AI solutions with deep expertise in opensource AI technologies The ideal candidate combines strong software engineering expertise with handson experience in implementing Agentic AI solutions using cuttingedge opensource frameworks vector databases and LLM orchestration platforms Responsibilities Design and implement singleagent and multiagent AI solutions with guardrails using opensource AI frameworks Develop scalable RAG architectures using vector databases and embedding models Implement monitoring evaluation and observability mechanisms for AI systems Excellent communication and stakeholder management skills Experience in implementing AI safety monitoring responsible AI and guardrails Development Monitoring Evaluation Work Location: Karnataka, India Availability: Full time
