Gen AI

Title: Gen AI Engineer
Location: Port Chester, NY (Onsite 2 days)
Duration: Long term 
Experience: 8 Years

As an AI Engineer, your responsibilities include: 
•    Develop, train, and optimize machine learning and deep learning models for various business use cases.
•    Build and maintain end to end ML pipelines including data ingestion, preprocessing, training, evaluation, and deployment.
•    Work closely with data scientists, data engineers, and product teams to convert business requirements into robust AI solutions.
•    Design, implement, and optimize RAG (Retrieval Augmented Generation) pipelines, including embedding generation, vector database configuration, retrieval tuning, and LLM orchestration for enterprise use cases.
•    Deploy AI models into production using MLOps best practices (CI/CD, monitoring, model versioning).
•    Research and evaluate new AI tools, frameworks, and techniques to improve solution quality.
•    Ensure all AI/ML systems comply with security, privacy, and ethical AI standards.
Mandatory skills
•    Bachelor’s or Master’s degree in computer science, Data Science, AI/ML, or a related field.
•    Experience with Retrieval-Augmented Generation (RAG) and vector databases like Pinecone, FAISS, or Azure AI Search.
•    Strong programming skills in Python (NumPy, Pandas, TensorFlow, PyTorch, Scikit-learn).
•    Knowledge of data engineering (SQL, ETL pipelines, data modeling).
•    Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
•    Understanding of MLOps tools (MLflow, Kubeflow, Docker, Kubernetes).
•    Exposure to AutoML, reinforcement learning, or NLP.
•    Experience integrating AI systems into production-grade applications.
•    Familiarity with distributed computing frameworks (Spark, Dask).
•    Strong analytical thinking and problem-solving skills