Senior AI / ML Engineer || Remote

Machine Learning Engineer

Remote

• AI / ML Development : Design and implement supervised and unsupervised models including regression, classification, clustering, time‑series forecasting, and boosting methods. Build and fine‑tune neural networks including CNNs, RNNs, and LSTMs.
• Generative AI : Develop and integrate solutions powered by LLMs and open‑source foundation models. Evaluate and optimize model performance, latency, and cost. Stay current with advances in foundation models, prompt engineering, fine‑tuning techniques (LoRA, PEFT), and model safety practices.
• Modern Code Development : Write efficient, maintainable Python code (advanced Python required), using tools like JupyterLab and VSCode for development and testing. Package and deploy solutions using Docker and Kubernetes on cloud platforms like AWS and Azure. Use Git for version control and champion SWE best practices.
• Platform Enablement : Databricks expertise to drive platform adoption and accelerate the development of new use cases, supporting model automation, AutoML, and template‑based development.
• Hands‑on : Advanced data processing, visualization, and storytelling. Solid background in popular AI / ML open‑source libraries including scikit‑learn, PyTorch, pandas, polars, NumPy, seaborn, and other libraries for data cleaning, feature engineering, and visualization.
• Systems Thinking : Approach problems with an end‑to‑end mindset, considering model performance, data quality, infrastructure, user experience, and downstream applications. Translate business goals into viable, scalable technical solutions.
• Collaboration & Mentorship : Work closely with cross‑functional teams and mentor junior engineers and data scientists for the overall improvement of data quality metrics, solution accessibility, self‑service capabilities, governance, and business adoption of AI / ML best practices.
• Experience with Agile project management methodologies
• Working knowledge of Linux, MacOS, Windows, and mobile operating systems, platforms and internals
• Working knowledge of modern computer networking technologies

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Information Technology

Industries

IT Services and IT Consulting

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