Data Engineer

Constructiviq; Pune District; On-site; INR 600,000 - 1,200,000; Full time

Job summary

A technology-driven company is seeking a skilled Data Engineer focused on Machine Learning and AI. The role involves building and maintaining data infrastructure essential for AI applications. Key responsibilities include implementing MLOps frameworks, developing data pipelines, and collaborating on advanced AI technologies. Candidates should have a Bachelor's or Master's degree in a relevant field and at least one year of experience in ML/AI applications. Proficiency in Python and familiarity with tools like Hugging Face and OpenAI are required. Located in Pune, this position offers a permanent contract.

Qualifications

• 1+ year experience working on building ML / AI driven applications.
• Experience in Data Engineering with a focus on MLOps, Generative AI, and LLMs.
• Strong analytical skills and team collaboration ability.

Responsibilities

• Implement MLOps frameworks for machine learning model lifecycle management.
• Collaborate on integrating advanced AI technologies and models.
• Develop data pipelines for model training and deployment on platforms such as Hugging Face, OpenAI, and Bedrock.
• Evaluate and adopt new AI/ML technologies and tools.
• Provide on-going improvement & support for the AI/ML implementation.

Skills

Machine Learning

MLOps

Data Engineering

Python

SQL

NoSQL

TensorFlow

PyTorch

Kubeflow

Cloud Computing

Education

Bachelor’s or Master’s in Computer Science, Engineering, Mathematics

Tools

Hugging Face

OpenAI

Bedrock

Job description

Overview

We are looking for a Data Engineer with a focus on Machine Learning/AI, MLOps, and General AI, skilled in leveraging tools like Hugging Face, OpenAI, and Bedrock. This role involves building and maintaining data infrastructure crucial for AI and ML based applications in our SaaS product.

Role Details

• Job Location: Pune
• Contract Type: Permanent
• Work Timings: Regular + occasional evening meetings
• Travel: No
• Total Experience: 1+ years

Responsibilities

• Implement MLOps frameworks for machine learning model lifecycle management.
• Collaborate on integrating advanced AI technologies and models.
• Develop data pipelines for model training and deployment on platforms such as Hugging Face, OpenAI, and Bedrock.
• Evaluate and establish best practices for data management and model deployment. – Evaluate and adopt new AI/ML technologies and tools.
• Provide on-going improvement & support for the AI/ML implementation.

Qualifications

• Bachelor’s or Master’s in Computer Science, Engineering, Mathematics, or related field from a top tier high NRF ranking institute (<100)
• 1+ year experience working on building ML / AI driven applications
• Experience in Data Engineering with a focus on MLOps, Generative AI, and LLMs.
• Proficiency in Python; familiarity with TensorFlow, PyTorch, MLflow, Kubeflow.
• Experience with AI platforms like Hugging Face, OpenAI, and Bedrock.
• Expertise in big data technologies and SQL/NoSQL databases.
• Knowledge of cloud computing services (AWS, GCP, Azure).
• Strong analytical skills and team collaboration ability.