Senior - AI/ML Engineer

Remote • Posted 2 hours ago • Updated 2 hours ago

Contract W2

Contract Corp To Corp

Contract Independent

Occasional Travel Required

Remote

Depends on Experience

Allwyn Corporation

Fitment

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Job Details

Skills

AI/ML Development
Model Management and Deployment
FastAPI
Pickle
Joblib
PyTorch

Summary

Key Technical Skills and Responsibilities

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, Databricks and VSCode for development and testing. Package and deploy solutions using Docker containers on cloud platforms like AWS and Azure. Use Git for version control and champion SWE best practices.

Required Qualifications

Model Management and Deployment: Manage MLOps and full model lifecycle. Serialize and manage models using Pickle, Joblib, and/or ONNX. Deploy models using FastAPI and serverless functions, building secure and scalable endpoints. Create user-facing AI tools using Streamlit and front-end technologies (HTML/CSS/JavaScript).
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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10194781
Position Id: 8888290
Posted 2 hours ago

Company Info

About Allwyn Corporation

We are driven by a passion for innovation and a commitment to delivering real results for our clients. At Allwyn Corporation, we strive to be a trusted partner for businesses looking to thrive in today's fast-paced and competitive digital landscape.

Company Culture

We are committed to providing our employees with opportunities for growth and development, both personally and professionally. We offer competitive compensation packages, comprehensive benefits, and a range of perks and incentives designed to promote work-life balance and employee wellness.

If you are passionate about using technology to drive positive change in the world and are looking for a dynamic and supportive work environment, we encourage you to explore our current job openings and apply to join our team. We look forward to hearing from you!

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