AI/ML Engineer

Description The AI/ML Engineer will design, build, and deploy production-grade machine learning and AI systems that power core products and features. This role bridges cutting-edge research with reliable, scalable engineering, turning prototypes into high-performance services that run 24/7 in production.

Key Responsibilities:

+ Design and implement end-to-end ML pipelines: data ingestion, feature engineering, training, evaluation, deployment, and monitoring + Develop, optimize, and productionize models using PyTorch/TensorFlow/JAX (including LLMs, vision, multimodal, and custom architectures) + Optimize inference for latency, memory, and cost (quantization, pruning, distillation, TensorRT, ONNX, vLLM) + Integrate models into backend systems via REST/gRPC APIs, event-driven architectures, or real-time serving + Own MLOps practices: experiment tracking (MLflow, W& B), model registry, CI/CD for ML, canary deployments, drift detection, and observability + Collaborate with data scientists to harden research prototypes into clean, tested, production-ready code + Build and maintain retrieval-augmented generation (RAG), agentic workflows, and prompt-engineered systems when appropriate (LangChain, LlamaIndex) + Continuously monitor, retrain, and improve live models to maintain performance and reliability Requirements + Bachelor's or Master's in Computer Science, Engineering, Mathematics, or equivalent experience + 3-8+ years of hands-on experience shipping ML/AI systems to production + Expert-level Python and deep proficiency in PyTorch (preferred) or TensorFlow/JAX + Proven track record with modern ML infrastructure: Docker, Kubernetes, Ray, Triton Inference Server, cloud ML platforms (SageMaker, Vertex AI, Bedrock) + Strong MLOps experience (MLflow, Airflow, feature stores, model registries, monitoring tools) + Solid software engineering fundamentals: testing, code reviews, system design, versioning + Experience integrating models into larger systems (FastAPI, microservices, streaming pipelines)

Preferred Qualifications:

+ Hands-on experience fine-tuning and deploying open-source LLMs (Llama 3, Mistral, Gemma, etc.) + Built RAG systems, AI agents, or copilot-style applications using LangChain, LlamaIndex, or DSPy + Familiarity with prompt engineering, chain-of-thought, ReAct, and tool-use patterns + Contributions to open-source ML projects or published research + Experience with GitHub Copilot / Cursor for accelerated development + Knowledge of distributed training (DeepSpeed, FSDP, Megatron) and large-scale data processing (Spark, DuckDB, Polars) Technology Doesn't Change the World, People Do.® Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "," you're agreeing to Robert Half's Terms of Use (https://www.roberthalf.com/us/en/terms) and Privacy Notice (https://www.roberthalf.com/us/en/privacy) .