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ML Engineer
Delphic Global —Remote
- ₹16,00,000 - ₹18,00,000 a year
- Full-time
- Remote
- Azure
- Master's degree
- Machine learning
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1h
Senior Data Analyst
Netomi —Remote
- Full-time
- Remote
- Data analysis skills
- SQL
- Analysis skills
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Lead Data Scientist
Technology Next —Remote
- ₹90,000 - ₹1,00,000 a month
- Full-time
- Remote
- Azure
- Salesforce
- System design
- Flexible schedule
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Senior DevOps Engineer
Hyland Software —Remote
- Rotational shift
- Remote
- Computer science
- Computer Science
- B.Sc
5d
Senior Data Engineer (Backend System)
Maropost —Remote
- Full-time
- Remote
- System design
- Master's degree
- Databases
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AI/ML Architect
Technology Next —Remote
- ₹90,000 - ₹1,20,000 a month
- Full-time
- Remote
- Azure
- Master's degree
- Databases
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ML Engineer

Delphic Global
Remote

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Job details

Permanent | Full-time
₹16,00,000 - ₹18,00,000 a year
1 hour ago

Qualifications

TensorFlow
Azure
Law
PyTorch
Software deployment
Master's degree
Machine learning
APIs
AI
Python

Full job description

ML Engineer – Generative AI & Agentic AI

Experience: 6–8 Years

Location: Remote

Working Hours: 11:00 AM – 9:00 PM

Job Summary

We are looking for an experienced ML Engineer with 6–8 years of hands-on experience in Machine Learning, Python, Generative AI, Agentic AI, and Microsoft Azure. The ideal candidate will be responsible for developing, deploying, and optimizing ML models, AI agents, and scalable production AI solutions.

Key Responsibilities

- Develop and deploy scalable machine learning models and pipelines using Python and Azure ML.

- Build Generative AI, LLM, and Agentic AI applications and workflows.

- Design AI agents with planning, reasoning, decision-making, and orchestration capabilities.

- Work with Azure ML, Azure Databricks, Microsoft Fabric, and Microsoft AI Foundry.

- Develop and optimize models using TensorFlow, PyTorch, or similar frameworks.

- Implement AI agent safety, guardrails, evaluation, monitoring, and feedback mechanisms.

- Support model serving, deployment, monitoring, and productionization of AI systems.

- Develop RAG and LLM-based solutions and improve AI performance through experimentation.

- Collaborate with backend, data, ML, and engineering teams to deliver end-to-end AI solutions.

- Rapidly prototype and productionize AI solutions in a fast-paced environment.

Required Skills

- 6–8 years of experience in Machine Learning / AI Engineering.

- Strong Python programming skills.

- Hands-on experience with TensorFlow and/or PyTorch.

- Strong experience with Generative AI, LLMs, and Agentic AI.

- Hands-on experience with Azure ML and Microsoft Azure AI/Data services.

- Experience with Azure Databricks, Microsoft Fabric, and Microsoft AI Foundry.

- Experience building and deploying ML models and AI agents in production.

- Strong understanding of ML pipelines, model deployment, AI agent orchestration, evaluation, and guardrails.

Good to Have

- Reinforcement Learning and agent feedback mechanisms.

- RAG and prompt engineering.

- LLM evaluation and model optimization.

- AI safety and responsible AI practices.

- Experience developing APIs and integrating AI with backend/frontend applications.

- Experience in enterprise or security-focused AI solutions.

Ideal Candidate

Candidates should have strong hands-on experience in Python + Machine Learning + Azure + GenAI/LLMs + Agentic AI, with a proven ability to take AI solutions from prototype to production.

Keywords: ML Engineer, Machine Learning Engineer, AI Engineer, Python, Azure ML, Azure Databricks, Microsoft Fabric, AI Foundry, Generative AI, GenAI, LLM, Agentic AI, AI Agents, TensorFlow, PyTorch, RAG, ML Pipelines, Reinforcement Learning, LLM Evaluation, AI Guardrails.If you want, I can also make this into a short Indeed version optimized for candidate applications and search visibility.

Pay: ₹1,600,000.00 - ₹1,800,000.00 per year

Work Location: Remote

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