Job Title: AI/ML Engineer

Employment Type: W2 Only (No C2C)

Locations: Onsite – Austin, TX | Dallas, TX | Charlotte, NC | New York, NY | Atlanta, GA | Seattle, WA

Job Description:

We are looking for a strong AI/ML Engineer with hands-on experience in designing, developing, and deploying machine learning models in production. The ideal candidate should be up to date with current market technologies and able to build scalable, high-performance ML systems.

Required Skills:

• Strong experience in Machine Learning, Deep Learning, NLP, Generative AI
• Hands-on with Python, PyTorch, TensorFlow, Scikit-Learn
• Experience building and deploying models using AWS / Azure / GCP
• Expertise in MLOps tools: MLflow, Kubernetes, Docker, CI/CD
• Experience with Vector Databases (Pinecone, FAISS) and LLM fine-tuning
• Strong knowledge of Data Engineering pipelines, ETL, and SQL
• Experience with API development for model integration
• Familiarity with Big Data tools: Spark, Databricks, Hadoop (optional but preferred)

Responsibilities:

• Build, train, optimize, and deploy ML/AI models in production
• Develop scalable data and ML pipelines
• Implement MLOps best practices, monitoring, and automation
• Collaborate with data engineers, product teams, and stakeholders
• Work on LLM-based solutions, embeddings, NLP, and model fine-tuning

Qualifications:

• Bachelor’s or Master’s in CS, AI/ML, Data Science, or related field
• 4–10+ years of hands-on experience in AI/ML engineering