Senior Machine Learning Engineer

Role - Senior Machine Learning Engineer

Experience - 5Yrs

Location - Bangalore

Minimum Qualifications

Bachelors or Masters 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 LLMs, 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) or contributions to open-source projects.

Experience working with geographically distributed teams across multiple time zones.