Machine Learning Engineer - Python/GPT/LLM

Sr. Machine Learning Engineer - Python/GPT/LLM

Location: Hyderabad/Gurgaon

Must-Have

Total Years Of exp- 5+ years experience mandatory

Mandatory Skills: Python: min 5 yrs, GPT: min 3 yrs, Big Data: min 3 yrs

Data Science Background.

LLM-based data extraction from documents

End-to-end data pipeline hands-on

Python Development exp.

Introduction

An exciting new client is seeking a Senior Machine Learning Engineer for LLM-based data extraction from documents. This role requires expertise in Python and API interactions (API endpoints are available from the LLMs). The ideal candidate will be focused on designing, developing, and implementing data extraction systems using advanced Large Language Models (LLMs) such as GPT-4. This is an in-person, office-based position, with locations in Hyderabad and Gurgaon, offering a great opportunity to work closely with other team members in a collaborative environment.

Job Responsibilities
 Design, develop, and implement data extraction systems using Large Language Models (LLMs) such as GPT-4.
 Collaborate with data scientists, engineers, and product managers to understand data extraction requirements and objectives.
 Fine-tune and customize LLMs for specific data extraction tasks, ensuring high accuracy and efficiency.
 Create and maintain data pipelines for the extraction, processing, and storage of large datasets.
 Conduct performance testing and optimization of LLMs to enhance data extraction capabilities.
 Develop and document best practices for LLM-based data extraction processes.
 Stay updated with the latest advancements in AI and LLM technologies to continually improve data extraction methodologies.
 Troubleshoot and resolve issues related to data extraction processes and models.

Job Requirements
 Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
 Proven experience with LLMs and natural language processing (NLP) technologies.
 Proficiency in programming languages such as Python, with experience in AI/ML libraries (e.g., TensorFlow, PyTorch).
 Strong understanding of data structures, algorithms, and software engineering principles.
 Experience with data extraction, ETL processes, and database management.
 Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes).
 Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
 Strong communication skills, both written and verbal, to effectively convey technical concepts to non-technical stakeholders.

Preferred Skills
 Experience with transformer-based models like GPT-4, BERT, etc.
 Knowledge of big data technologies (e.g., Hadoop, Spark) and data warehousing solutions.
 Understanding of regulatory and compliance requirements related to data handling and privacy.
 Prior experience in developing and deploying machine learning models in production environments.

Skills: big data,performance testing,machine learning,api interactions,llm,machine learning models,algorithms,large language models,data pipelines,regulatory and compliance requirements,transformer-based models,database management,nlp technologies,data warehousing solutions,data extraction,python,big data technologies,models,containerization technologies,problem-solving,data structures,communication skills,cloud computing platforms,programming languages,etl processes,ai/ml libraries,nlp,gpt,data extraction systems,data science,