Hiring ML Developer

5 days ago


Bengaluru, Karnataka, India Geetha Technology Solutions Full time ₹ 16,00,000 - ₹ 17,00,000 per year

Position: Data Scientist (ML Developer)

Experience: 6 – 9 Years

Employment Type: Contract to Hire (1 Year)

Working Mode: Hybrid

Location: Bangalore, Hyderabad, Pune, Indore & Ahmedabad

About the Role

We are seeking a highly skilled Data Scientist (ML Developer) with strong expertise in AWS Cloud, OCR, and NLP to design and implement intelligent document processing solutions. The ideal candidate will have hands-on experience in leveraging Large Language Models (LLMs) and AWS Bedrock to extract, interpret, and automate data insights from unstructured documents.

Key Responsibilities

  • Design and develop OCR-based ML workflows using AWS Bedrock, Textract, Lambda, API Gateway, Comprehend, and other AWS services.
  • Implement intelligent document processing pipelines utilizing LLMs (Claude, Amazon Titan, Meta Llama).
  • Apply prompt engineering and few-shot learning techniques to optimize model performance for custom use cases.
  • Develop and integrate RESTful APIs to connect ML components with business systems.
  • Process and extract structured data (JSON, XML) from complex document layouts such as invoices and forms.
  • Collaborate with data engineers and business analysts to improve automation and scalability.
  • Ensure adherence to data security, IAM, and cloud best practices in all deployed solutions.

Required Skills & Expertise

  • Proficiency in AWS Cloud (Bedrock, Textract, Lambda, API Gateway, Comprehend, IAM).
  • Strong understanding of OCR technologies and LLMs for document automation.
  • Solid knowledge of Machine Learning and NLP concepts.
  • Excellent programming skills in Python, with experience using Boto3 for AWS integration.
  • Experience in handling structured data (JSON, XML) and integrating APIs.
  • Good problem-solving, analytical, and collaboration skills.

Job Type: Contractual / Temporary

Pay: ₹1,600, ₹1,700,000.00 per year

Work Location: In person



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