Data Scientist

Terra Technology Circle Consulting Private Limited; Pune District; On-site; INR 900,000 - 1,400,000; Full time

Job summary

A consulting firm in technology is looking for a skilled Data Scientist with strong experience in Python, Machine Learning, and Generative AI. The role involves designing and deploying AI models and APIs with Flask and FastAPI. Ideal candidates should have 3–6 years of experience and the ability to translate business requirements into technical solutions. This is a full-time job based in Pune, India, with no remote work options available.

Qualifications

• 3–6 years of hands-on experience as a Data Scientist or similar role.
• Strong proficiency in Python.
• Solid experience with Machine Learning algorithms.
• Practical exposure to Generative AI (LLMs, embeddings, prompt engineering, or fine-tuning).
• Experience building APIs using Flask and/or FastAPI.

Responsibilities

• Design, develop, and deploy machine learning and generative AI models.
• Build and expose ML/AI models using RESTful APIs.
• Perform data analysis, feature engineering, model training, validation, and optimization.
• Work on end-to-end ML pipelines, from data ingestion to model deployment and monitoring.
• Collaborate with product managers, engineers, and stakeholders to translate business requirements into technical solutions.
• Optimize model performance, scalability, and reliability in production environments.
• Stay updated with the latest advancements in ML, Generative AI, and AI frameworks.
• Document models, APIs, workflows, and best practices.

Skills

Python

Machine Learning

Generative AI

RESTful APIs

Flask

FastAPI

Data Analysis

NumPy

Pandas

TensorFlow

PyTorch

Tools

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

Docker

Kubernetes

Job description

The successful candidate shall be placed at Pune Location. It is a Full-time Job, “No” remote work. Data Scientist (GenAI/ML,Python, FastAPI/Flask) willing to work on a 6 to12-months contract may apply.

Experience

Candidates should have experience between 3-6 years

Role Description

About the Role

We are looking for a skilled and motivated Data Scientist with strong experience in Python, Machine Learning, and Generative AI, along with hands-on exposure to Flask and FastAPI for building and deploying scalable data-driven applications. The ideal candidate will work closely with cross-functional teams to design, develop, and deploy intelligent solutions that drive business value.

Key Responsibilities

• Design, develop, and deploy machine learning and generative AI models for real-world business problems.
• Build and expose ML/AI models using RESTful APIs with Flask and FastAPI.
• Perform data analysis, feature engineering, model training, validation, and optimization.
• Work on end-to-end ML pipelines, from data ingestion to model deployment and monitoring.
• Collaborate with product managers, engineers, and stakeholders to translate business requirements into technical solutions.
• Optimize model performance, scalability, and reliability in production environments.
• Stay updated with the latest advancements in ML, Generative AI, and AI frameworks.
• Document models, APIs, workflows, and best practices.

Required Skills & Qualifications

• 3–6 years of hands-on experience as a Data Scientist or similar role.
• Strong proficiency in Python.
• Solid experience with Machine Learning algorithms (supervised, unsupervised, and deep learning).
• Practical exposure to Generative AI (LLMs, embeddings, prompt engineering, or fine-tuning).
• Experience building APIs using Flask and/or FastAPI.
• Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
• Experience with common ML libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, etc).
• Good understanding of software engineering best practices and version control (Git).

Nice to Have

• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of MLOps tools and CI/CD pipelines.
• Exposure to vector databases, RAG architectures, or AI agents.
• Familiarity with Docker/Kubernetes.
• Strong communication and problem-solving skills.