AI/ML Developer Internship in work from home, India

... cloud environments. Integrate GenAI APIs (OpenAI, Anthropic, Google Cloud GenAI, Azure OpenAI) into enterprise applications and co-pilot solutions. Establish MLOps best practices for observability, reproducibility, and secure deployment of GenAI workloads. Stay updated on GenAI research , tools, and cloud advancements ...

... Responsibilities :- Architect and develop scalable AI/ML solutions.- Build production-grade Generative AI and LLM-powered applications.- Design and optimize RAG pipelines, AI Agents, and multi-agent workflows.- Lead ML pipeline deployment, monitoring, and optimization.- Develop FastAPI-based AI services.- Implement semantic search using ...

... business requirements into clear technical designs and execution plans.- Review architecture, code quality, and engineering best practices; ensure scalable and maintainable solutions.- Drive adoption of AI capabilities (e.g., ML models, GenAI, intelligent automation) in engineering solutions where applicable.- Proactively ...

... stakeholders, product teams, and engineering squads to translate complex business requirements into robust technical solutions that enable advanced analytics, AI/ML, and data-driven decision-making across insurance focused business domains. Key Responsibilities: Lead the end-to-end architecture and solution design for enterprise ...

• Remote

... degree in computer science, computer engineering, IT, Data Science Location: Pune or Remote India only Key Responsibilities: Design, develop, and implement Agentic AI systems capable of autonomous decision-making and task execution. Build and optimize AI/ML models leveraging LLMs, NLP, and advanced AI techniques. Develop AI-driven ...

... companies . - Proven experience handling enterprise-level Indian customers , understanding their business culture and delivery expectations. - Strong exposure to AI/ML-based product implementations or integrations. - Deep understanding of Agile/Scrum delivery practices. - Demonstrated ability to lead multi-disciplinary teams ...

... OpenSearch, Pinecone- Data Processing: Glue, EMR- Deployment: ECS, EKS- Observability: Define enterprise AI reference architecture and roadmap.- Mentor engineers and ML teams on best practices for agentic AI design.- Lead build vs buy decisions for AI platforms and tools.- Establish AI cost governance and FinOps framework.- Drive ...

About the Role:We are looking for a Senior AI Developer Engineer with strong hands-on experience in AI, Generative AI, Agentic AI, and intelligent automation. The ideal candidate should be proficient in Python and experienced in building secure, scalable, production-grade enterprise AI solutions using modern AI frameworks ...

... provides instant health advice through a seamless, voice-first experience. Role Overview: Lead AI Engineer We are hiring a Senior AI Engineer in Gurgaon to drive AI-driven healthcare innovations. The ideal candidate has 3+ years of AI/ML experience, 1+ year of GenAI production experience, and 1+ year of hands-on GenAI product ...

... tools or ML model validation platforms. Comfort working in Agile, distributed teams using tools like Git, JIRA, and Slack. You'll work at the intersection of AI, data infrastructure, and impact—contributing to platforms that ensure AI is explainable, auditable, and ethical at scale. Join a team building the next generation ...

About the Role:We are looking for a Senior AI Developer Engineer with strong hands-on experience in AI, Generative AI, Agentic AI, and intelligent automation. The ideal candidate should be proficient in Python and experienced in building secure, scalable, production-grade enterprise AI solutions using modern AI frameworks ...

• Full-time

... processing, model development, and production deployment . You will work closely with engineering, product, and business teams to translate requirements into scalable AI/ML solutions and take models from experimentation through production. Requirements KEY RESPONSIBILITIES - Design, develop, test, and deploy scalable AI/ML models ...

... query optimization and data access strategies for APIs serving real-time compliance dashboards, establishing benchmarks and SLOs Lead data infrastructure work for AI/ML features, including dataset curation, feature engineering, and pipeline design supporting cloud-native AI capabilities Define and enforce data quality standards, ...

• Hybrid

... estimated cost, time, and quality within planned scope. Covers management of risks that affect the delivery of project outcomes. Lead the full project lifecycle for AI/ML and GenAI initiatives — scoping, planning, resourcing, execution, and closure — using Agile, Scrum, or hybrid methodologies. Manage cross-functional squads ...

About Costco Wholesale: Costco Wholesale is a multi-billion-dollar global retailer with warehouse club operations in eleven countries. They provide a wide selection of quality merchandise, plus the convenience of specialty departments and exclusive member services, all designed to make shopping a pleasurable experience ...

... intelligence pipelines.- Work with structured and unstructured pharma data such as clinical, regulatory, or scientific datasets.- Adapt and evaluate LLMs for domain-specific use cases.- Collaborate with domain experts to translate business requirements into ML/AI solutions.- Own the ML lifecycle from data preparation through ...

... 4–6+ years in product design / UX with real shipped products. Portfolio required - Demonstrable AI product design work — you have designed for LLM-powered or ML-driven features, not just read about them - Native with AI design tooling: Figma Make, v0, Lovable, Cursor, Claude, Midjourney/Sora for concepting. You use AI ...

... expectation maximization). Machine Learning: In-depth understanding of standard Machine Learning algorithms (Trees, Boosting, SVMs, GMMs) with the ability to explain the underlying loss functions and optimizations mathematically. Deep Foundations: Thorough understanding of Multi-Layer Perceptrons (MLPs), mathematical derivation ...

... for model development and apply feature engineering methods Use Azure AI Search to make data and models easier to consume for business needs Coordinate with developers and project managers using GitLab and Jira Refine data pipelines and tune model performance for practical deployments Explain technical ideas effectively ...

• Remote

... agricultural monitoring (raster processing, zonal statistics, ML classification, time-series modeling). - Integrate outputs with downstream systems (dashboards, APIs, ML models) to support digital agronomy and sustainability reporting. - Maintain data quality, document methodologies, and support junior geospatial analysts. - Promote ...