Machine Learning Engineer
Job Description
Role - Senior Machine Learning Engineer
Experience - 5+Yrs
Location - Remote
Minimum Qualifications
%CF; Bachelor’s or Master’s degree in Science or Engineering with strong programming, data science, critical thinking, and analytical skills
%CF; 5+ years of experience building in ML and Data science
%CF; 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
%CF; Strong conceptual understanding of foundational models, transformers, and
related research
%CF; Strong conceptual understanding of the basics of machine learning and deep learning with expertise in Computer Vision and Natural Language Processing
%CF; Recent demonstrable experience with managing large datasets for AI projects
%CF; Experience with implementing AI projects in Python and working knowledge of associated Python libraries - numpy, scipy, pandas, sklearn, matplotlib, nltk, etc.
%CF; Experience with Hugging Face, Spacy, BERT, Tensorflow, Torch, OpenRouter, Modal, and similar services / frameworks
%CF; Ability to write clean, efficient, and bug-free code.
%CF; Proven ability to lead initiatives from concept to operation while navigating challenges effectively.
%CF; Strong analytical and problem-solving skills
%CF; Excellent communication and interpersonal skills
Preferred Qualifications
%CF; 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
%CF; Experience with cloud platforms (AWS, GCP, Azure), containerization (Kubernetes, ECS, etc.), and managed services like Bedrock, SageMaker, etc.
%CF; Experience with MLOps practices, e.g. model monitoring, feedback pipelines, CI/CD flows, and governance best-practices
%CF; Experience working with applications hosted on AWS or Django web frameworks.
%CF; Familiarity with databases and web application architecture.
%CF; Experience working with OCR tools or PDF processing libraries.
%CF; Completed academic or online specializations in Machine Learning or Deep Learning.
%CF; Track record of publishing research in top-tier conferences and journals
%CF; Participation in competitive programming (e.g., Kaggle competitions) or contributions to open-source projects.
%CF; Experience working with geographically distributed teams across multiple time zones.
