AI / ML Engineer- Data Science | Remote W2 Role

Required Skills
Machine Learning & AI foundations
Strong grounding in ML fundamentals supervised/unsupervised learning, evaluation methodology, and model selection.
Practical experience with deep learning frameworks (PyTorch and/or TensorFlow).
Solid understanding of NLP and transformer architectures.

Technical Expertise
Strong expertise in Machine Learning, Deep Learning, NLP, Large Language Models (LLMs), and Generative AI.
Hands-on experience with RAG, Vector Databases, Knowledge Graphs, AI Agents, and Agentic AI frameworks.
Proficiency in Python, Java, APIs, Microservices, and distributed system architecture.
Strong knowledge of Azure AI Services, Azure OpenAI, AWS SageMaker, or Google Vertex AI.
Experience with Databricks, Snowflake, Spark, Kafka, and modern data engineering platforms.
Expertise in Kubernetes, Docker, GitHub Actions/Azure DevOps, Terraform, and cloud-native architectures.
Knowledge of Responsible AI, AI Governance, Model Risk Management, and AI Security principles.