
AI/ML Engineer
1 day ago
Contact : /
Job Title: AI / ML Engineer ( With Gen AI full stack )
Location: Remote
Experience: Overall 6+ Years (Minimum 3–4 Years in AI/ML/GenAI Development)
About the Role
We are seeking a highly skilled AI / ML Engineer with strong expertise in AI/ML development, agentic AI solutions, and Azure cloud services. The ideal candidate will have deep experience with GenAI frameworks, data manipulation libraries (NumPy, Pandas), and hands-on implementation of large language models (LLMs). This role demands proficiency in building, deploying, and maintaining scalable AI/ML solutions with modern DevOps and MLOps practices.
Key Responsibilities
- Design, develop, and deploy AI/ML and GenAI solutions, including LLM-based applications and agentic AI systems.
- Implement and manage FastAPI services for scalable AI application development.
- Perform advanced data manipulation, analysis, and preprocessing using NumPy and Pandas.
- Lead MLOps workflows including model training, testing, deployment, and monitoring.
- Collaborate with cross-functional teams to deliver AI-driven products and features.
- Maintain and optimize CI/CD pipelines and ensure robust version control using Git.
- Work with Azure AI services, integrating and deploying AI models on Azure infrastructure.
- Apply DevOps best practices using Docker, Kubernetes, Jenkins, and Terraform for containerization and infrastructure automation.
Required Skills & Qualifications
- Experience: Overall 6+ years of software engineering with at least 3–4 years in AI/ML/GenAI development (AI/ML Engineer, GenAI Developer, or Data Scientist).
- Programming: Strong expertise in Python with hands-on experience in GenAI frameworks (LangChain, LLaMA, OpenAI API, etc.).
- Data Handling: Proficiency in NumPy and Pandas for data manipulation and analysis.
- LLM Expertise: Proven track record in implementing and managing large language models (LLMs).
- API Development: Experience with FastAPI for backend/API development.
- Cloud: Hands-on experience with Azure AI services (Agentic AI on Azure is mandatory).
- MLOps/DevOps: Strong knowledge of CI/CD, Docker, Kubernetes, Jenkins, and Terraform.
- Familiarity with automated testing and scalable AI architecture.
Nice to Have
- Experience with agent-based AI systems or multi-agent architectures.
- Knowledge of other cloud platforms (AWS/GCP) is a plus.
- Familiarity with advanced AI tools and orchestration frameworks.
Job Types: Full-time, Permanent
Pay: ₹1,800, ₹2,800,000.00 per year
Benefits:
- Work from home
Work Location: Remote
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