202 Data Scientists jobs in Chandigarh
Machine Learning Engineer
Posted 2 days ago
Job Viewed
Job Description
Job Responsibilities
- Development and integration of Python-based applications with LLMs (OpenAI, DeepSeek, Anthropic, LLaMA, etc.).
- Architect and implement LLM pipelines including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and evaluation. Design scalable microservices and APIs for AI features.
- Collaborate with MLOps teams to deploy and monitor AI models in production. Ensure performance optimization, cost efficiency, and security in LLM workflows.
- Guide the team on Python best practices, code reviews, and technical problem-solving. Stay updated on emerging AI/LLM advancements and propose adoption where beneficial.
Mandatory Skills
- Strong proficiency in Python (FastAPI, Flask). Solid experience with LLM integration (OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex). Understanding of RAG pipelines (vector databases like Pinecone, Weaviate, FAISS, Milvus). Experience with prompt engineering & evaluation techniques. Knowledge of MLOps tools (MLflow),
- Kubeflow, Langfuse) and deployment on AWS/GCP/Azure. Familiarity with containerization and orchestration (Docker, Kubernetes). Strong grasp of REST APIs, GraphQL, and microservices architecture. Knowledge of model fine-tuning and performance optimization.
- Familiarity with containerization and orchestration (Docker, Kubernetes). Strong grasp of REST APIs, GraphQL, and microservices architecture. Knowledge of model fine-tuning and performance optimization.
Optional Skills
- Excellent leadership and mentoring abilities. Strong problem-solving and analytical skills.
- Effective communication with technical and non-technical stakeholders.
- Ability to work in a fast-paced, evolving AI environment.
- Experience with agentic AI or Model Context Protocol (MCP).
- Background in data pipelines (ETL, streaming data).
- Exposure to AI security & compliance practices. Prior to work in scalable enterprise AI products.
Machine Learning Engineer
Posted today
Job Viewed
Job Description
- Development and integration of Python-based applications with LLMs (OpenAI, DeepSeek, Anthropic, LLaMA, etc.).
- Architect and implement LLM pipelines including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and evaluation. Design scalable microservices and APIs for AI features.
- Collaborate with MLOps teams to deploy and monitor AI models in production. Ensure performance optimization, cost efficiency, and security in LLM workflows.
- Guide the team on Python best practices, code reviews, and technical problem-solving. Stay updated on emerging AI/LLM advancements and propose adoption where beneficial.
Mandatory Skills
- Strong proficiency in Python (FastAPI, Flask). Solid experience with LLM integration (OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex). Understanding of RAG pipelines (vector databases like Pinecone, Weaviate, FAISS, Milvus). Experience with prompt engineering & evaluation techniques. Knowledge of MLOps tools (MLflow),
- Kubeflow, Langfuse) and deployment on AWS/GCP/Azure. Familiarity with containerization and orchestration (Docker, Kubernetes). Strong grasp of REST APIs, GraphQL, and microservices architecture. Knowledge of model fine-tuning and performance optimization.
- Familiarity with containerization and orchestration (Docker, Kubernetes). Strong grasp of REST APIs, GraphQL, and microservices architecture. Knowledge of model fine-tuning and performance optimization.
Optional Skills
- Excellent leadership and mentoring abilities. Strong problem-solving and analytical skills.
- Effective communication with technical and non-technical stakeholders.
- Ability to work in a fast-paced, evolving AI environment.
- Experience with agentic AI or Model Context Protocol (MCP).
- Background in data pipelines (ETL, streaming data).
- Exposure to AI security & compliance practices. Prior to work in scalable enterprise AI products.
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
Job Responsibilities
- Development and integration of Python-based applications with LLMs (OpenAI, DeepSeek, Anthropic, LLaMA, etc.).
- Architect and implement LLM pipelines including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and evaluation. Design scalable microservices and APIs for AI features.
- Collaborate with MLOps teams to deploy and monitor AI models in production. Ensure performance optimization, cost efficiency, and security in LLM workflows.
- Guide the team on Python best practices, code reviews, and technical problem-solving. Stay updated on emerging AI/LLM advancements and propose adoption where beneficial.
Mandatory Skills
- Strong proficiency in Python (FastAPI, Flask). Solid experience with LLM integration (OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex). Understanding of RAG pipelines (vector databases like Pinecone, Weaviate, FAISS, Milvus). Experience with prompt engineering & evaluation techniques. Knowledge of MLOps tools (MLflow),
- Kubeflow, Langfuse) and deployment on AWS/GCP/Azure. Familiarity with containerization and orchestration (Docker, Kubernetes). Strong grasp of REST APIs, GraphQL, and microservices architecture. Knowledge of model fine-tuning and performance optimization.
- Familiarity with containerization and orchestration (Docker, Kubernetes). Strong grasp of REST APIs, GraphQL, and microservices architecture. Knowledge of model fine-tuning and performance optimization.
Optional Skills
- Excellent leadership and mentoring abilities. Strong problem-solving and analytical skills.
- Effective communication with technical and non-technical stakeholders.
- Ability to work in a fast-paced, evolving AI environment.
- Experience with agentic AI or Model Context Protocol (MCP).
- Background in data pipelines (ETL, streaming data).
- Exposure to AI security & compliance practices. Prior to work in scalable enterprise AI products.
Machine Learning Engineer
Posted today
Job Viewed
Job Description
Job Responsibilities
- Development and integration of Python-based applications with LLMs (OpenAI, DeepSeek, Anthropic, LLaMA, etc.).
- Architect and implement LLM pipelines including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and evaluation. Design scalable microservices and APIs for AI features.
- Collaborate with MLOps teams to deploy and monitor AI models in production. Ensure performance optimization, cost efficiency, and security in LLM workflows.
- Guide the team on Python best practices, code reviews, and technical problem-solving. Stay updated on emerging AI/LLM advancements and propose adoption where beneficial.
Mandatory Skills
- Strong proficiency in Python (FastAPI, Flask). Solid experience with LLM integration (OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex). Understanding of RAG pipelines (vector databases like Pinecone, Weaviate, FAISS, Milvus). Experience with prompt engineering & evaluation techniques. Knowledge of MLOps tools (MLflow),
- Kubeflow, Langfuse) and deployment on AWS/GCP/Azure. Familiarity with containerization and orchestration (Docker, Kubernetes). Strong grasp of REST APIs, GraphQL, and microservices architecture. Knowledge of model fine-tuning and performance optimization.
- Familiarity with containerization and orchestration (Docker, Kubernetes). Strong grasp of REST APIs, GraphQL, and microservices architecture. Knowledge of model fine-tuning and performance optimization.
Optional Skills
- Excellent leadership and mentoring abilities. Strong problem-solving and analytical skills.
- Effective communication with technical and non-technical stakeholders.
- Ability to work in a fast-paced, evolving AI environment.
- Experience with agentic AI or Model Context Protocol (MCP).
- Background in data pipelines (ETL, streaming data).
- Exposure to AI security & compliance practices. Prior to work in scalable enterprise AI products.
Data Science Mentor
Posted today
Job Viewed
Job Description
Title: Data Science / AI Mentor (Part-time / Freelance) | DataMites®
About DataMites®
DataMites® is India’s leading EdTech company specialising in Artificial Intelligence, Data Science, Machine Learning, and Analytics career programs. Since 2016, we’ve trained over 120,000+ learners globally , empowering professionals to build high-growth tech careers. With a global presence and industry-recognized certifications, DataMites is shaping the next generation of AI and Data Science talent through practical, job-oriented learning.
Role: Data Science / AI Mentor or Trainer
Type: Part-Time / Freelance
Location: Remote (Online) or Classroom (Major cities in India)
What You’ll Do:
- Deliver engaging training sessions on topics such as Python, Machine Learning, Deep Learning, Statistics, AI, and related tools.
- Mentor learners through project-based learning and hands-on exercises.
- Guide students in applying real-world problem-solving techniques using AI and Data Science frameworks.
- Evaluate assignments and provide constructive feedback.
- Stay updated with the latest industry trends and best practices.
Who We’re Looking For:
- Professionals or educators with strong expertise in Data Science, AI, or Machine Learning.
- Proficiency in Python, NumPy, Pandas, Scikit-learn, and related ML libraries.
- Experience in training, mentoring, or delivering technical sessions (preferred).
- Strong communication skills and a passion for teaching.
- Freelancers, working professionals, or PhD/MTech candidates in AI/Data Science are welcome.
Why Join DataMites ®:
- Be part of India’s fastest-growing AI & Data Science education movement.
- Flexible engagement—teach part-time or on weekends.
- Opportunity to inspire thousands of learners globally.
- Work with a passionate academic and industry-driven team.
If you’re passionate about sharing knowledge and shaping the next generation of AI talent, we’d love to hear from you.
Data Science Mentor
Posted today
Job Viewed
Job Description
Title: Data Science / AI Mentor (Part-time / Freelance) | DataMites®
About DataMites®
DataMites® is India’s leading EdTech company specialising in Artificial Intelligence, Data Science, Machine Learning, and Analytics career programs. Since 2016, we’ve trained over 120,000+ learners globally , empowering professionals to build high-growth tech careers. With a global presence and industry-recognized certifications, DataMites is shaping the next generation of AI and Data Science talent through practical, job-oriented learning.
Role: Data Science / AI Mentor or Trainer
Type: Part-Time / Freelance
Location: Remote (Online) or Classroom (Major cities in India)
What You’ll Do:
- Deliver engaging training sessions on topics such as Python, Machine Learning, Deep Learning, Statistics, AI, and related tools.
- Mentor learners through project-based learning and hands-on exercises.
- Guide students in applying real-world problem-solving techniques using AI and Data Science frameworks.
- Evaluate assignments and provide constructive feedback.
- Stay updated with the latest industry trends and best practices.
Who We’re Looking For:
- Professionals or educators with strong expertise in Data Science, AI, or Machine Learning.
- Proficiency in Python, NumPy, Pandas, Scikit-learn, and related ML libraries.
- Experience in training, mentoring, or delivering technical sessions (preferred).
- Strong communication skills and a passion for teaching.
- Freelancers, working professionals, or PhD/MTech candidates in AI/Data Science are welcome.
Why Join DataMites ®:
- Be part of India’s fastest-growing AI & Data Science education movement.
- Flexible engagement—teach part-time or on weekends.
- Opportunity to inspire thousands of learners globally.
- Work with a passionate academic and industry-driven team.
If you’re passionate about sharing knowledge and shaping the next generation of AI talent, we’d love to hear from you.
Data Science Mentor
Posted today
Job Viewed
Job Description
Title: Data Science / AI Mentor (Part-time / Freelance) | DataMites®
About DataMites®
DataMites® is India’s leading EdTech company specialising in Artificial Intelligence, Data Science, Machine Learning, and Analytics career programs. Since 2016, we’ve trained over 120,000+ learners globally , empowering professionals to build high-growth tech careers. With a global presence and industry-recognized certifications, DataMites is shaping the next generation of AI and Data Science talent through practical, job-oriented learning.
Role: Data Science / AI Mentor or Trainer
Type: Part-Time / Freelance
Location: Remote (Online) or Classroom (Major cities in India)
What You’ll Do:
- Deliver engaging training sessions on topics such as Python, Machine Learning, Deep Learning, Statistics, AI, and related tools.
- Mentor learners through project-based learning and hands-on exercises.
- Guide students in applying real-world problem-solving techniques using AI and Data Science frameworks.
- Evaluate assignments and provide constructive feedback.
- Stay updated with the latest industry trends and best practices.
Who We’re Looking For:
- Professionals or educators with strong expertise in Data Science, AI, or Machine Learning.
- Proficiency in Python, NumPy, Pandas, Scikit-learn, and related ML libraries.
- Experience in training, mentoring, or delivering technical sessions (preferred).
- Strong communication skills and a passion for teaching.
- Freelancers, working professionals, or PhD/MTech candidates in AI/Data Science are welcome.
Why Join DataMites ®:
- Be part of India’s fastest-growing AI & Data Science education movement.
- Flexible engagement—teach part-time or on weekends.
- Opportunity to inspire thousands of learners globally.
- Work with a passionate academic and industry-driven team.
If you’re passionate about sharing knowledge and shaping the next generation of AI talent, we’d love to hear from you.
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Data Science Specialist
Posted today
Job Viewed
Job Description
Job Title: N8N Developer / Automation Engineer
Experience: 1–4 years (Immediate Joiners Preferred)
Location: (Your Location) / Remote
Job Summary:
We are looking for a skilled N8N Developer to design, develop, and maintain workflow automations and integrations across multiple systems. The ideal candidate should have strong experience with N8N , API integrations , and Node.js , and be able to create efficient automation solutions that improve operational efficiency.
Key Responsibilities:
- Design, develop, and deploy automated workflows using N8N .
- Integrate multiple systems and APIs (REST, GraphQL, etc.) to automate business processes.
- Build and maintain custom N8N nodes when required using Node.js and JavaScript .
- Monitor, troubleshoot, and optimize existing workflows for performance and reliability.
- Collaborate with cross-functional teams to identify automation opportunities.
- Implement error-handling, logging, and version control for workflows.
- Document workflows, processes, and integration logic for internal teams.
Required Skills & Experience:
- Hands-on experience with N8N workflow automation.
- Strong knowledge of Node.js , JavaScript , and RESTful APIs .
- Familiarity with webhooks , OAuth , and JSON data structures .
- Experience working with databases (MongoDB, MySQL, PostgreSQL, etc.).
- Understanding of cloud platforms (AWS, GCP, or similar) is a plus.
- Ability to debug and optimize API calls and workflow logic.
- Excellent problem-solving and analytical skills.
Preferred Skills (Good to Have):
- Experience with Zapier , Make (Integromat) , or other automation tools.
- Exposure to Docker and CI/CD pipelines .
- Basic understanding of DevOps and API security .
- Knowledge of Express.js or other backend frameworks.
Qualification:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
Please send me your resume on /
Data Science Specialist
Posted today
Job Viewed
Job Description
Job Title: N8N Developer / Automation Engineer
Experience: 1–4 years (Immediate Joiners Preferred)
Location: (Your Location) / Remote
Job Summary:
We are looking for a skilled N8N Developer to design, develop, and maintain workflow automations and integrations across multiple systems. The ideal candidate should have strong experience with N8N , API integrations , and Node.js , and be able to create efficient automation solutions that improve operational efficiency.
Key Responsibilities:
- Design, develop, and deploy automated workflows using N8N .
- Integrate multiple systems and APIs (REST, GraphQL, etc.) to automate business processes.
- Build and maintain custom N8N nodes when required using Node.js and JavaScript .
- Monitor, troubleshoot, and optimize existing workflows for performance and reliability.
- Collaborate with cross-functional teams to identify automation opportunities.
- Implement error-handling, logging, and version control for workflows.
- Document workflows, processes, and integration logic for internal teams.
Required Skills & Experience:
- Hands-on experience with N8N workflow automation.
- Strong knowledge of Node.js , JavaScript , and RESTful APIs .
- Familiarity with webhooks , OAuth , and JSON data structures .
- Experience working with databases (MongoDB, MySQL, PostgreSQL, etc.).
- Understanding of cloud platforms (AWS, GCP, or similar) is a plus.
- Ability to debug and optimize API calls and workflow logic.
- Excellent problem-solving and analytical skills.
Preferred Skills (Good to Have):
- Experience with Zapier , Make (Integromat) , or other automation tools.
- Exposure to Docker and CI/CD pipelines .
- Basic understanding of DevOps and API security .
- Knowledge of Express.js or other backend frameworks.
Qualification:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
Please send me your resume on /
Data Science Specialist
Posted today
Job Viewed
Job Description
Job Title: N8N Developer / Automation Engineer
Experience: 1–4 years (Immediate Joiners Preferred)
Location: (Your Location) / Remote
Job Summary:
We are looking for a skilled N8N Developer to design, develop, and maintain workflow automations and integrations across multiple systems. The ideal candidate should have strong experience with N8N , API integrations , and Node.js , and be able to create efficient automation solutions that improve operational efficiency.
Key Responsibilities:
- Design, develop, and deploy automated workflows using N8N .
- Integrate multiple systems and APIs (REST, GraphQL, etc.) to automate business processes.
- Build and maintain custom N8N nodes when required using Node.js and JavaScript .
- Monitor, troubleshoot, and optimize existing workflows for performance and reliability.
- Collaborate with cross-functional teams to identify automation opportunities.
- Implement error-handling, logging, and version control for workflows.
- Document workflows, processes, and integration logic for internal teams.
Required Skills & Experience:
- Hands-on experience with N8N workflow automation.
- Strong knowledge of Node.js , JavaScript , and RESTful APIs .
- Familiarity with webhooks , OAuth , and JSON data structures .
- Experience working with databases (MongoDB, MySQL, PostgreSQL, etc.).
- Understanding of cloud platforms (AWS, GCP, or similar) is a plus.
- Ability to debug and optimize API calls and workflow logic.
- Excellent problem-solving and analytical skills.
Preferred Skills (Good to Have):
- Experience with Zapier , Make (Integromat) , or other automation tools.
- Exposure to Docker and CI/CD pipelines .
- Basic understanding of DevOps and API security .
- Knowledge of Express.js or other backend frameworks.
Qualification:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
Please send me your resume on /