Machine Learning Engineer

Summary

Join Blue Orange Digital's Client's AI team as a Machine Learning Engineer to develop and maintain a scalable machine learning framework for data science products. You will collaborate with data scientists, cross-functional teams, and engineers to build game-changing products and services. Responsibilities include working with beta customers, designing Gen AI solutions, selecting appropriate algorithms, refining prompt engineering techniques, and experimenting with RAG approaches. The ideal candidate possesses strong experience in machine learning engineering, big data technologies, and prompt engineering, along with excellent communication and problem-solving skills. This fully remote position offers a flexible schedule, unlimited PTO, paid parental/bereavement leave, and the opportunity to work with top-notch teams and globally recognized clients.

Requirements

• Experience with common data science algorithms and processes (e.g., xgboost, hyperparameter tuning)
• Advanced knowledge in Python/PySpark and SQL
• Experience working with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP)
• Experience with prompt engineering techniques and experience in refining and iterating on prompts for AI models
• Knowledge of retrieval-augmented generation (RAG) methodologies and experience in implementing RAG-based approaches for text generation tasks
• Interest or previous experience in financial services and/or credit modeling
• Excellent problem-solving skills, critical thinking abilities, and attention to detail
• Effective communication skills and the ability to collaborate effectively in a team environment
• 3+ years of industry experience as a hands-on practitioner of machine learning engineering
• Proven experience with Gen AI systems
• Bachelor’s degree in computer science, engineering, or a related field

Responsibilities

• Develop and maintain a scalable machine learning framework for data science products
• Work closely with our data scientists to pilot our products with beta customers
• Collaborate with cross-functional teams to understand business requirements and design Gen AI solutions that address complex challenges
• Evaluate and select appropriate algorithms and methodologies to solve specific problems and optimize performance
• Lead the refinement and iteration of prompt engineering techniques to enhance the effectiveness and efficiency of Gen AI systems
• Experiment with retrieval-augmented generation (RAG) approaches to improve the relevance and coherence of AI-generated outputs
• Work closely with software engineers and AI researchers to integrate prompt engineering and RAG components into production systems and ensure seamless deployment

Preferred Qualifications

• Advanced degree in a relevant field
• Publications in relevant AI/ML communities and journals
• Deep Learning Expertise Tensorflow and/or Pytorch
• Experience Fine-tuning OpenSource LLMs and deploying them
• Great Expectations and/or DBT is a plus

Benefits

• Fully remote
• Flexible Schedule
• Unlimited Paid Time Off (PTO)
• Paid parental/bereavement leave
• Worldwide recognized clients to build skills for an excellent resume
• Top-notch team to learn and grow with