Data Engineer-AI​/ML Product Hybrid

Position: Data Engineer-AI/ML with US Product based Company Hybrid)
Hiring:
Data Engineer – AI/ML | Pune | Hybrid | Full-time

We are looking for a Data Engineer with strong experience in Machine Learning, MLOps, and Generative AI to join our Engineering team. In this role, you will build and maintain scalable data infrastructure powering AI-driven features in our SaaS product. If you’re passionate about AI technologies like Hugging Face, OpenAI, and AWS Bedrock, this role could be a great fit for you!

Position:
Data Engineer

Location:

Pune (Hybrid)
Mode:
Permanent | Full-time

Experience:

2+ years (relevant)

Responsibilities:

- Implement MLOps frameworks for end-to-end ML model lifecycle management.
Build maintain data pipelines for training, fine-tuning, and deploying AI/ML models.
Integrate and operationalize models using Hugging Face, OpenAI, AWS Bedrock, and similar platforms
Optimize and scale data infrastructure for large-scale AI/ML workloads.
Evaluate, adopt, and implement best practices for data management, model deployment, and monitoring.
Stay aligned with emerging AI/ML tools and technologies to enhance product capabilities.
Provide ongoing support, improvements, and troubleshooting for AI/ML implementations.

Skill Requirements:

- Bachelor’s/Master’s in Computer Science, Engineering, Mathematics, or related field from an institute with NRF ranking.
2+ years of experience in building ML/AI-driven applications.
Strong hands-on experience in Data Engineering, MLOps, LLMs, and Generative AI.
Proficiency in Python and experience with ML frameworks :

Tensor Flow / PyTorch

MLflow / Kubeflow

Experience with Hugging Face, OpenAI, AWS Bedrock, or similar AI platforms.
Strong knowledge of Big Data technologies, SQL/No

SQL databases.
Familiarity with cloud environments: AWS, Azure, or GCP.
Excellent analytical thinking and collaboration skills.

Interested candidates can share their resume at niha