Machine learning engineer

Role - Sr MLE

Experience - 5+Yrs

Location - India

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, Open Router, 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, Sage Maker, 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.