Senior Machine Learning Engineer

Role - Senior MLE (Sr Machine Learning 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 successfulimplementation of AI technologies

Build and Mentor the AI Team

● Work closely with the AI & Engineering Leadership to support hiring of top AI talent

● Uphold our culture of engineering excellence by maintaining high standards in innovation & execution

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

Preferred Qualifications

● Recent experience with implementing state-of-the-art scalable AI pipelines for extracting data from unstructured / semi-structured sources and converting it into structured information, along with necessary technical infrastructure to support deployment

● Experience with cloud platforms (AWS, GCP, Azure), containerization (Kubernetes, ECS, etc.), and managed services like Bedrock, SageMaker, etc.

● Experience with MLOps practices, e.g. model monitoring, feedback pipelines, CI/CD flows, and governance best-practices

● Experience working with applications hosted on AWS or Django web frameworks.

● Familiarity with databases and web application architecture.

● Experience working with OCR tools or PDF processing libraries.

● Completed academic or online specializations in Machine Learning or Deep Learning.

● Track record of publishing research in top-tier conferences and journals

● Participation in competitive programming (e.g., Kaggle competitions) orcontributions to open- source projects.

● Experience working with geographically distributed teams across multiple time zones.