Machine Learning Specialist

Role - ML Engineer

Experience - 5+ Yrs

Location - Bangalore

What You Will Achieve and Key Responsibilities

Research, Design, Develop and Deploy AI models and systems

Lead the research and development of AI models - a varied portfolio ranging from small classifiers to fine-tuning LLM's for specific use-cases

Design, implement and deploy AI-based solutions to solve business and product problems

Develop and implement strategies to track and improve the performance and efficiency of existing and new AI models and systems

Operationalize efficient dataset creation and management

Execute best practices for end-to-end data and AI pipelines

Work closely with the leadership team on research and development efforts to explore cutting-edge technologies.

Collaborate with cross-functional teams including full-stack engineers, product managers, QA engineers, data annotation experts, SMEs and other stakeholders to ensure successful implementation of AI technologies

Minimum Qualifications

Bachelor's or Master's degree in Science or Engineering with strong programming, data science, critical thinking, and analytical skills

5+ years of experience building in ML and Data science

Recent demonstrable hand-on experience with LLMs - integrating off-the-shelf LLM's, fine-tuning smaller models, building RAG pipelines, designing agentic flows, and other optimization techniques with LLMs

Strong conceptual understanding of foundational models, transformers, and related research

Strong conceptual understanding of the basics of machine learning and deep learning with expertise in Computer Vision and Natural Language Processing

Recent demonstrable experience with managing large datasets for AI projects

Experience with implementing AI projects in Python and working knowledge of associated Python libraries - numpy, scipy, pandas, sklearn, matplotlib, nltk, etc

Experience with Hugging Face, Spacy, BERT, Tensorflow, Torch, OpenRouter, Modal, and similar services / frameworks

Ability to write clean, efficient, and bug-free code.

Proven ability to lead initiatives from concept to operation while navigating challenges effectively.

Strong analytical and problem-solving skills

Excellent communication and interpersonal skills