10,350 Intern AI Ml jobs in India
Intern - Ai/ml
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Job Description
- Work on Image processing techniques
- Training dataset, design, augmentation, and validation
- Design algorithms using deep learning and neural network models
- Documentation: Maintain detailed documentation of experiments, methodologies, and code to ensure transparency and knowledge sharing within the team
**Qualifications**:
- Currently pursuing a bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field
**Expertise**:
- Strong programming skills in languages such as Python
- Familiarity with machine learning libraries (e.g., TensorFlow, PyTorch)
- Basic knowledge of data manipulation techniques
- Good understanding of machine learning fundamentals and algorithms
- Strong problem-solving and critical-thinking skills
- Excellent communication and teamwork abilities
- Eagerness to learn and adapt to new challenges
- Previous projects or coursework related to AI/ML is a plus
**Duration**:
- The internship will be for a duration of 2 months
**Job Type**: Internship
Contract length: 2 months
Schedule:
- Day shift
Work Location: In person
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Senior Machine Learning Engineer - AI/ML
Posted today
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Job Description
Responsibilities:
- Design, build, train, and deploy machine learning models for various applications, including predictive analytics, natural language processing, and computer vision.
- Develop and maintain robust data pipelines for model training and inference.
- Implement MLOps practices for model versioning, deployment, monitoring, and retraining.
- Collaborate with data scientists, software engineers, and product managers to understand business requirements and translate them into technical solutions.
- Evaluate and benchmark model performance, identifying areas for improvement.
- Research and apply cutting-edge machine learning algorithms and techniques.
- Write clean, efficient, and well-documented code in Python or other relevant languages.
- Contribute to the architectural design of AI/ML systems and platforms.
- Mentor junior engineers and share best practices within the team.
- Ensure scalability, reliability, and performance of deployed ML solutions.
- Stay updated with the latest trends and advancements in the field of AI and Machine Learning.
- Participate in code reviews and contribute to technical discussions.
- Optimize ML models for production environments.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in machine learning engineering or a similar role.
- Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, Pandas, and NumPy.
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Solid understanding of MLOps principles and tools (e.g., Docker, Kubernetes, MLflow).
- Experience with SQL and NoSQL databases.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Experience in deploying ML models into production environments.
- Knowledge of software engineering best practices (e.g., version control, testing).
AI ML
Posted today
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Job Description
Skill: Gen AI, Python, Azure
Experience: 5-12 Years
Work Location: Mumbai / Pune / Chennai / Hyderabad / Bangalore / Kolkata / Delhi / Noida/ Coimbatore
Job Description:
Key Responsibilities
- Learn and assist in building generative AI chatbots using tools like OpenAI , Azure OpenAI , and Copilot Studio
- Work with senior engineers to explore and experiment with LLMs , SLMs , and Agentic Frameworks (e.g. CrewAI, LangGraph)
- Support the development and fine-tuning of ML models with guidance
- Help integrate AI systems with Azure services (Cognitive Services, ML Services, Blob Storage, etc.)
- Participate in reading and annotating FAQ documents and transforming them into structured knowledge for the AI bots
- Assist in testing, evaluating, and improving chatbot performance
- Document learnings, models, and workflows clearly for reuse
Required Skills & Knowledge (to Learn or Possess)
- Strong interest in AI/ML , especially Generative AI
- Basic knowledge of Python
- Familiarity with any one: PyTorch , TensorFlow , or HuggingFace
- Good communication and documentation skills
- Willingness to work with tools like:
- Azure ML Services
- Azure Cognitive Search / Blob / SQL
- Copilot Studio
- OpenAI APIs
- GitHub Copilot
Nice to Have (You’ll Learn on the Job)
- Prompt engineering and RAG (Retrieval-Augmented Generation)
- CrewAI, LangGraph, or other agentic frameworks
- Basics of Conversational UX and chatbot testing
- Azure DevOps, Azure Functions, and AKS
AI ML
Posted today
Job Viewed
Job Description
Skill: Gen AI, Python, Azure
Experience: 5-12 Years
Work Location: Mumbai / Pune / Chennai / Hyderabad / Bangalore / Kolkata / Delhi / Noida/ Coimbatore
Job Description:
Key Responsibilities
- Learn and assist in building generative AI chatbots using tools like OpenAI, Azure OpenAI, and Copilot Studio
- Work with senior engineers to explore and experiment with LLMs, SLMs, and Agentic Frameworks (e.g. CrewAI, LangGraph)
- Support the development and fine-tuning of ML models with guidance
- Help integrate AI systems with Azure services (Cognitive Services, ML Services, Blob Storage, etc.)
- Participate in reading and annotating FAQ documents and transforming them into structured knowledge for the AI bots
- Assist in testing, evaluating, and improving chatbot performance
- Document learnings, models, and workflows clearly for reuse
Required Skills & Knowledge (to Learn or Possess)
- Strong interest in AI/ML, especially Generative AI
- Basic knowledge of Python
- Familiarity with any one: PyTorch, TensorFlow, or HuggingFace
- Good communication and documentation skills
- Willingness to work with tools like:
- Azure ML Services
- Azure Cognitive Search / Blob / SQL
- Copilot Studio
- OpenAI APIs
- GitHub Copilot
Nice to Have (You’ll Learn on the Job)
- Prompt engineering and RAG (Retrieval-Augmented Generation)
- CrewAI, LangGraph, or other agentic frameworks
- Basics of Conversational UX and chatbot testing
- Azure DevOps, Azure Functions, and AKS
AI ML
Posted today
Job Viewed
Job Description
Experience: 5-12 Years
Work Location: Mumbai / Pune / Chennai / Hyderabad / Bangalore / Kolkata / Delhi / Noida/ Coimbatore
Job Description:
Key Responsibilities
Learn and assist in building generative AI chatbots using tools like OpenAI , Azure OpenAI , and Copilot Studio
Work with senior engineers to explore and experiment with LLMs , SLMs , and Agentic Frameworks (e.g. CrewAI, LangGraph)
Support the development and fine-tuning of ML models with guidance
Help integrate AI systems with Azure services (Cognitive Services, ML Services, Blob Storage, etc.)
Participate in reading and annotating FAQ documents and transforming them into structured knowledge for the AI bots
Assist in testing, evaluating, and improving chatbot performance
Document learnings, models, and workflows clearly for reuse
Required Skills & Knowledge (to Learn or Possess)
Strong interest in AI/ML , especially Generative AI
Basic knowledge of Python
Familiarity with any one: PyTorch , TensorFlow , or HuggingFace
Good communication and documentation skills
Willingness to work with tools like:
Azure ML Services
Azure Cognitive Search / Blob / SQL
Copilot Studio
OpenAI APIs
GitHub Copilot
Nice to Have (You’ll Learn on the Job)
Prompt engineering and RAG (Retrieval-Augmented Generation)
CrewAI, LangGraph, or other agentic frameworks
Basics of Conversational UX and chatbot testing
Azure DevOps, Azure Functions, and AKS
AI ML
Posted today
Job Viewed
Job Description
Job Description:
AI / ML Engineer (2 3 yrs)
Build production grade AI applications, prompt engineering and model integration for enterprise clients.
Key responsibilities
- Develop applications using LLM APIs (Azure / OpenAI) and open-source models.
- Implement prompt templates, evaluation loops and model instruction tuning.
- Design and develop machine learning algorithms and deep learning applications
- Build RAG pipelines: ingestion embeddings vector DB retrieval.
- Ship prototypes (FastAPI endpoints, simple UIs) and production grade deployments.
- Write unit tests, monitoring hooks and participate in cost-control for API usage.
- 1 3 yrs experience with Python/Keras/PyTorch.
- Practical experience with Hugging Face / transformers or calling hosted LLM APIs.
- Familiarity with embeddings + any vector DB (Pinecone / Weaviate / Milvus).
- Basic web/API skills (FastAPI/Flask).
- Azure/AWS/GCP hands-on experience
- LangChain experience, Azure/Azure OpenAI exposure, experience with prompt engineering frameworks.
- Basic knowledge of authentication (Azure AD / OAuth), SQL, and basic infra (Docker/Kubernetes).
VDart: Digital Consulting & Staffing Solutions
VDart is a leading digital consulting and staffing company founded in 2007 and headquartered in Alpharetta, Georgia. VDart is one of the top staffing companies in USA & also provides technology solutions, supporting businesses in their digital transformation journey. Digital consulting services, Digital consulting agency
Core Services:
- Digital consulting and transformation solutions
- Comprehensive staffing services (contract, temporary, permanent placements)
- Talent management and workforce solutions
- Technology implementation services
Key Industries: VDart primarily serves industries such as automotive and mobility, banking and finance, healthcare and life sciences, and energy and utilities. VDart - Products, Competitors, Financials, Employees, Headquarters Locations
Notable Partnership: VDart Digital has been a consistently strong supplier for Toyota since 2017 Digital Transformation Consulting & Strategy Services | VDart Digital , demonstrating their capability in large-scale digital transformation projects.
With over 17 years of experience, VDart combines staffing expertise with technology solutions to help organizations modernize their operations and build skilled workforce capabilities across multiple sectors.
AI/ML
Posted today
Job Viewed
Job Description
About Company: One of the global leader in delivering digital transformation and engineering services exclusively for the Connectedness industry, including telecom, digital service providers, and network technology companies.
Exp :5-8yrs
Location:Chennai,Bangalore
Job Title:Lead Engineer
Roles and Responsibilities:
- Design, develop, and optimize agentic AI systems capable of decision-making and autonomous task execution.
- Build and deploy end-to-end GenAI pipelines using LLMs (OpenAI, Claude, LLaMA, Mistral, etc.).
- Implement RAG pipelines integrating LLMs with vector databases (e.g., FAISS, Pinecone, Weaviate) for contextualized retrieval.
- Fine-tune and deploy large language models (LLMs) and integrate them with LLM orchestration platforms (LangChain, LlamaIndex, Flowise, etc.).
- Work with TensorFlow or PyTorch to implement and train custom deep learning models as needed.
- Collaborate with product managers, researchers, and engineers to translate business requirements into technical solutions.
- Evaluate and integrate state-of-the-art AI research into production-grade solutions.
- Ensure scalable and secure deployment of AI models via REST APIs or cloud platforms (AWS, GCP, Azure).
- Conduct performance tuning and continual learning/monitoring of deployed models.
Qualification:B.E /B.tech
AI&ML
Posted today
Job Viewed
Job Description
AI and ML Engineer (5+ Years experience)
We are seeking an experienced and high skilled senior Machine Learning and Artificial Intelligence Developer to join our development team. The ideal candidate will have over 5 years of experience in building AI algorithms. And be able to work independently without any supervision.
Requirements:
Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implementing the same in production.
Solid understanding and experience of deep learning architectures and algorithms
Experience solving problems in industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders etc.
Should have 5 + years experience in implementation of machine learning projects.
Knowledge of open source libraries such as xgboost,Tensor Flow, Pytorch
Work with business analysts/consultants and other necessary teams to create a strong solution
Should have in depth understanding and experience of Data science and Machine Learning projects using Python, R etc. Skills in Java/SQL are a plus
Should developing solutions using python in AI/ML projects
Should be able to train and build a team of technical developers
Good to have knowledge on any of the cloud solutions such as Azure or AWS
Good to have knowledge on any of container technology such as Docker
Should be able to work with a multi culture global teams and team virtually
Should be able to build strong relationship with project stakeholders
Primary Location Pune, Maharashtra, India Job Type Experienced Primary Skills Machine Learning, Python, AIML Libraries Years of Experience 5 Qualification
Job Title:
AI and ML Engineer (5+ Years experience)
We are seeking an experienced and high skilled senior Machine Learning and Artificial Intelligence Developer to join our development team. The ideal candidate will have over 5 years of experience in building AI algorithms. And be able to work independently without any supervision.
Requirements:
Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implementing the same in production.
Solid understanding and experience of deep learning architectures and algorithms
Experience solving problems in industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders etc.
Should have 5 + years experience in implementation of machine learning projects.
Knowledge of open source libraries such as xgboost,Tensor Flow, Pytorch
Work with business analysts/consultants and other necessary teams to create a strong solution
Should have in depth understanding and experience of Data science and Machine Learning projects using Python, R etc. Skills in Java/SQL are a plus
Should developing solutions using python in AI/ML projects
Should be able to train and build a team of technical developers
Good to have knowledge on any of the cloud solutions such as Azure or AWS
Good to have knowledge on any of container technology such as Docker
Should be able to work with a multi culture global teams and team virtually
Should be able to build strong relationship with project stakeholders
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AI/ML
Posted today
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Job Description
• Design solutions that make the best use of cloud platform and AI/ML Services
• Advise our client and assist them with cloud and digital transformation
• Must possess strong mentorship abilities to train junior colleagues
• Collaborate with business and technical stakeholders to gather requirements and convert them to generate appropriate systems design architecture documentation
• Lead the design and implementation of PaaS services, constructs, and deployment methods including Database-as-a-Service, App Services, storage and automation
• Implement PaaS and IaaS solutions in a public cloud platform such as Azure and AWS
• Use Knowledge of identity and access management in on-premises solutions and the cloud inclusive of Azure AD Connect, ADFS, and third-party identity providers.
• Define innovative solutions using concepts such as infrastructure-as-code, deployment orchestration, and automation templates
• Use Office 365 architecture experience to implement Microsoft technologies such as SharePoint Online, Flow, and Teams.
• Remain abreast of regulatory and compliance requirements to drive successful governance strategies
• Ability to educate and influence stakeholders and engineering teams on effective cloud solutions and best practices
AI ML
Posted today
Job Viewed
Job Description
Skill: Gen AI, Python, Azure
Experience: 5-12 Years
Work Location: Mumbai / Pune / Chennai / Hyderabad / Bangalore / Kolkata / Delhi / Noida/ Coimbatore
Job Description:
Key Responsibilities
- Learn and assist in building generative AI chatbots using tools like OpenAI , Azure OpenAI , and Copilot Studio
- Work with senior engineers to explore and experiment with LLMs , SLMs , and Agentic Frameworks (e.g. CrewAI, LangGraph)
- Support the development and fine-tuning of ML models with guidance
- Help integrate AI systems with Azure services (Cognitive Services, ML Services, Blob Storage, etc.)
- Participate in reading and annotating FAQ documents and transforming them into structured knowledge for the AI bots
- Assist in testing, evaluating, and improving chatbot performance
- Document learnings, models, and workflows clearly for reuse
Required Skills & Knowledge (to Learn or Possess)
- Strong interest in AI/ML , especially Generative AI
- Basic knowledge of Python
- Familiarity with any one: PyTorch , TensorFlow , or HuggingFace
- Good communication and documentation skills
- Willingness to work with tools like:
- Azure ML Services
- Azure Cognitive Search / Blob / SQL
- Copilot Studio
- OpenAI APIs
- GitHub Copilot
Nice to Have (You’ll Learn on the Job)
- Prompt engineering and RAG (Retrieval-Augmented Generation)
- CrewAI, LangGraph, or other agentic frameworks
- Basics of Conversational UX and chatbot testing
- Azure DevOps, Azure Functions, and AKS
AI/ML
Posted today
Job Viewed
Job Description
About Company: One of the global leader in delivering digital transformation and engineering services exclusively for the Connectedness industry, including telecom, digital service providers, and network technology companies.
Exp :5-8yrs
Location:Chennai,Bangalore
Job Title:Lead Engineer
Roles and Responsibilities:
- Design, develop, and optimize agentic AI systems capable of decision-making and autonomous task execution.
- Build and deploy end-to-end GenAI pipelines using LLMs (OpenAI, Claude, LLaMA, Mistral, etc.).
- Implement RAG pipelines integrating LLMs with vector databases (e.g., FAISS, Pinecone, Weaviate) for contextualized retrieval.
- Fine-tune and deploy large language models (LLMs) and integrate them with LLM orchestration platforms (LangChain, LlamaIndex, Flowise, etc.).
- Work with TensorFlow or PyTorch to implement and train custom deep learning models as needed.
- Collaborate with product managers, researchers, and engineers to translate business requirements into technical solutions.
- Evaluate and integrate state-of-the-art AI research into production-grade solutions.
- Ensure scalable and secure deployment of AI models via REST APIs or cloud platforms (AWS, GCP, Azure).
- Conduct performance tuning and continual learning/monitoring of deployed models.
Qualification:B.E /B.tech