Results-driven AI/ML Data Scientist and Full Stack Engineer with over 12 years of experience delivering scalable, production-ready machine learning systems across healthcare, fintech, and enterprise AI platforms. Expert in developing and deploying advanced models for predictive analytics, natural language processing (NLP), and large language models (LLMs), including GPT-4, BERT, and domain-specific transformers. Proven track record building and operationalizing semantic search systems, real-time analytics pipelines, and cloud-native ML infrastructure using tools such as Apache Spark, Kafka, Airflow, Docker, and Kubernetes. Specialized in building MLOps platforms using MLflow, Azure ML, and SageMaker, with strong command over multi-cloud environments (AWS, Azure, GCP). Adept in vector data
Verified Machine Learning Engineer
8+ years of experience
Preferred commitment: Full Time
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