AI/ML Engineer

Job Type: Contract / W2
Experience: 12+ Years

Job Description

We are looking for an experienced AI/ML Engineer with 12+ years of experience in designing, developing, and deploying machine learning and AI solutions. The ideal candidate should have strong hands-on experience with Python, machine learning, deep learning, generative AI, cloud platforms, and MLOps.

Responsibilities

• Design, develop, and deploy scalable AI/ML models and solutions for enterprise applications.
• Develop machine learning models using Python, PyTorch, TensorFlow, and Scikit-learn.
• Work with Generative AI, Large Language Models (LLMs), NLP, and Retrieval-Augmented Generation (RAG) solutions.
• Build and optimize AI/ML pipelines for training, validation, deployment, and monitoring.
• Develop solutions using LLM APIs, embeddings, vector databases, prompt engineering, and AI agents.
• Implement MLOps practices for model versioning, CI/CD, deployment, monitoring, and governance.
• Work with cloud AI/ML services across AWS, Azure, or Google Cloud Platform.
• Process and analyze large datasets using SQL, Spark, and Python-based data processing frameworks.
• Collaborate with data engineers, software engineers, architects, and business stakeholders.
• Optimize models for performance, scalability, accuracy, and production readiness.
• Ensure AI solutions follow enterprise security, privacy, and responsible AI standards.

Required Skills

• 12+ years of experience in AI/ML Engineering, Machine Learning, Data Science, or related fields.
• Strong programming experience with Python.
• Hands-on experience with Machine Learning and Deep Learning.
• Strong experience with PyTorch, TensorFlow, Scikit-learn, or equivalent frameworks.
• Experience with Generative AI, LLMs, NLP, RAG, embeddings, and vector databases.
• Experience with OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, or similar AI platforms.
• Strong understanding of MLOps, ML pipelines, model deployment, and monitoring.
• Experience with Docker, Kubernetes, Git, CI/CD, and cloud environments.
• Strong experience with AWS, Azure, or Google Cloud Platform.
• Experience with SQL, Spark, and large-scale data processing.
• Strong understanding of AI/ML algorithms, statistics, model evaluation, and optimization.
• Excellent communication and problem-solving skills.

Preferred Skills

• Experience with LangChain, LlamaIndex, Hugging Face, MLflow, Kubeflow, or similar frameworks.
• Experience building AI agents and enterprise GenAI applications.
• Knowledge of vector databases such as Pinecone, Weaviate, Milvus, or pgvector.
• Experience with Terraform/IaC and cloud-native architecture.
• Experience with AI governance, security, and responsible AI practices.

Submission Requirements

• W2 Only
• 12+ Years of Experience Required
• Strong hands-on AI/ML and Generative AI experience preferred.
• Candidates must have strong communication skills and be able to work in a US client environment.