Senior Data Scientist

HuntingCube; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

HuntingCube is seeking an experienced Senior Data Scientist in Bengaluru to design, build, and deploy AI/ML and Generative AI solutions. The role focuses on end-to-end ML pipelines, NLP, LLMs, and forecasting models, collaborating with cross-functional teams.

You will work on production-ready models, optimize performance and cost, and explore new AI tools and cloud platforms. Strong Python and PyTorch/TensorFlow skills are required.

Qualifications

• 5+ years of experience in Data Science, AI/ML, and Python.
• Experience with NLP, Deep Learning, and image processing.
• Hands-on experience with LLMs and Generative AI.
• End-to-end ML model development and deployment.

Responsibilities

• Design, develop, test, and deploy AI/ML and Generative AI solutions.
• Build predictive and prescriptive models for business challenges.
• Work on LLMs, NLP, Deep Learning, Image Processing, and forecasting models.
• Handle end-to-end ML pipelines from data preprocessing to deployment.
• Collaborate with cross-functional teams and business stakeholders.
• Fine-tune LLMs and optimize AI models for performance and cost efficiency.
• Explore new AI tools, frameworks, and technologies.

Skills

Machine Learning

Deep Learning

Python

Education

B.Tech / M.Tech in Computer Science / IT / related Engineering

Tools

PyTorch

TensorFlow

MLflow

AWS Bedrock

Textract

Kendra

Dataiku

FastAPI

Job description

Job Description

About the Role

We are looking for an experienced Senior Data Scientist with strong expertise in Data Science, AI/ML, and Generative AI. The ideal candidate should have hands-on experience building, deploying, and optimizing machine learning models and AI-driven solutions to solve complex business problems.

Key Responsibilities

• Design, develop, test, and deploy AI/ML and Generative AI solutions.
• Build predictive and prescriptive models to address business challenges.
• Work on LLMs, NLP, Deep Learning, Image Processing, and forecasting models.
• Handle end-to-end ML pipelines, including data preprocessing, model training, and deployment.
• Collaborate with cross-functional teams and business stakeholders.
• Fine-tune LLMs and optimize AI models for performance and cost efficiency.
• Explore new AI tools, frameworks, and technologies.

Required Skills

• 5+ years of experience in Data Science, AI/ML, and Python.
• Strong expertise in Machine Learning, Deep Learning, NLP, and Image Processing.
• Hands-on experience with LLMs and Generative AI.
• Strong Python programming skills.
• Experience with PyTorch / TensorFlow and MLflow.
• Good understanding of AWS, particularly AWS Bedrock, Foundation Models, Textract, and Kendra.
• Strong SQL skills; PySpark experience is an advantage.
• Experience in end-to-end ML model development and deployment.
• Knowledge of cloud platforms.

Required Skills

['Machine Learning', 'Deep Learning', 'Python']

Good to Have

• Experience with Dataiku and FastAPI.
• Exposure to Industrial Engineering or related domains.
• Strong analytical, problem-solving, and communication skills.

Education

B.Tech / M.Tech in Computer Science, IT, or a relevant Engineering discipline.

Additional Information

NA