AI/ML Developer Internship in work from home, India

• Remote
• Full-time

₹1k INR - ₹5k INR

... engineering and applied artificial intelligence. As an AI/ML Engineer Intern, you will work with the product and technology team on healthcare-focused AI use cases and gain exposure to generative AI, multimodal systems, medical models, and production-oriented workflows. Responsibilities: - Build and experiment with AI/ML capabilities ...

• Full-time

... assist with AI/ML experimentation, dataset preparation, model evaluation, software testing, test automation, debugging, and technical documentation . The internship is suitable for students who want practical exposure to how AI/ML systems move from development to testing and validation in real engineering applications. ...

... development.- Strong proficiency in Python programming.- Hands-on experience with at least one cloud platform.- Exposure to Large Language Models (LLMs) and generative AI concepts.- Design, develop, and deploy generative AI applications using Python and cloud-based AI/ML services.- Collaborate closely with product managers, data ...

... development.- Strong proficiency in Python programming.- Hands-on experience with at least one cloud platform.- Exposure to Large Language Models (LLMs) and generative AI concepts.- Design, develop, and deploy generative AI applications using Python and cloud-based AI/ML services.- Collaborate closely with product managers, data ...

... Entity Recognition (NER). High-Throughput Video Analytics: Familiarity with NVIDIA DeepStream, GStreamer, or interactive front-end tools (Streamlit, Gradio). MLOps & Infrastructure: Experience with Triton Inference Server, MLflow, Kubeflow, and cloud AI platforms (AWS SageMaker, Azure ML, or GCP Vertex AI). Hardware Interfacing: ...

• Hybrid

... Promptfoo Experience with Docker and containerised deployments Exposure to Google Cloud Platform (GCP) and production ML or LLM systems Hands-on ownership of AI validation and evaluation infrastructure on a live, real-world manufacturing engagement, not a research sandbox Direct collaboration with AI Engineers, Data Scientists, ...

... development.- Strong proficiency in Python programming.- Hands-on experience with at least one cloud platform.- Exposure to Large Language Models (LLMs) and generative AI concepts.- Design, develop, and deploy generative AI applications using Python and cloud-based AI/ML services.- Collaborate closely with product managers, data ...

... A/B testing, and optimize for accuracy, latency, and cost. Stay updated with the latest advancements in GenAI, LLMs, and Azure AI ecosystem. Ensure responsible AI practices, including fairness, transparency, and data privacy. Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field. - 3+ ...

• Hybrid
• Full-time

... years of experience in AI/ML, including model development, data preprocessing, EDA, training, and evaluation. - 2+ years of hands‑on experience in Generative AI (LLMs, embeddings, RAG, LLM‑based apps). - 6+ months of hands‑on experience with Agentic AI frameworks (CrewAI / AutoGen / LangGraph / LangChain Agents). - Strong ...

Rs 12 - 60 lakhs p.a.

? Hiring: MD-AI Engineer We are hiring experienced MD-AI Engineers for exciting AI and Generative AI projects across PAN India. Job Details: - Role: MD-AI Engineer - Experience: 1–10 Years - Salary: ₹12 LPA – ₹60 LPA - Location: PAN India - Hiring Company: Hiringhood IT - Joining Preference: Immediate Joiners . Requirements ...

312k

... science, AI, Data Science, or related field Experience 3–5 years of experience in software/ML engineering At least 1–2 years of hands-on experience in Generative AI / LLM-based systems Strong programming skills in Python Experience with LLMs and GenAI frameworks (OpenAI, Hugging Face, Anthropic, Google etc.) Hands-on experience ...

... generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services ...

• Full-time

... Context Protocol (MCP) — both consuming MCP servers and building custom MCP server integrations. Experience with Claude model selection strategy (Opus, Sonnet, Haiku) for different agentic task profiles. Proficiency in prompt engineering: system prompts, few-shot examples, chain-of-thought, XML-structured outputs, and agent ...

... across business applications. Key Responsibilities Reuse and enhance existing AI/Generative AI libraries, platforms, models and assets . Research and develop novel AI and Generative AI algorithms and techniques . Design, develop and optimize end-to-end AI/ML solutions for various applications. Work across Generative AI, NLP, ...

... candidatesRole Overview :We are looking for a Senior ML Engineer with 5+ years of experience to build, productionize, and operate ML and Generative AI solutions for our AI-powered investing advisor and wealth management https://jobeax.com/link/f5FQc9SxrVvnQKkz role combines ML Engineering, financial ML, GenAI, and MLOps/LLMOps, with ...

As an AIML Engineer, you will be responsible for designing, developing, and deploying AI-powered applications and agentic AI solutions leveraging Python, LangChain, LangGraph, LLMs, RAG, Oracle Database 23c/26ai, and Oracle APEX. You will work closely with cross-functional teams to build scalable AI solutions that integrate ...

As an AIML Engineer, you will be responsible for designing, developing, and deploying AI-powered applications and agentic AI solutions leveraging Python, LangChain, LangGraph, LLMs, RAG, Oracle Database 23c/26ai, and Oracle APEX. You will work closely with cross-functional teams to build scalable AI solutions that integrate ...

As an AIML Engineer, you will be responsible for designing, developing, and deploying AI-powered applications and agentic AI solutions leveraging Python, LangChain, LangGraph, LLMs, RAG, Oracle Database 23c/26ai, and Oracle APEX. You will work closely with cross-functional teams to build scalable AI solutions that integrate ...

... 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 ...