Role overview
*Title: Gen AI Engineer
Location: Port Chester, NY (Onsite 2 days)
Visa: H4EAD, GC, GCEAD, USC
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.
What we're looking for
- 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 GCP.
- 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
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Ai Engineer Machine Learning Deep Learning Data Science Mlops Data Engineer Generative Ai