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, 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.