Machine Learning Engineer

My client is a large and very stable company in the financial services industry who are looking to add a well-rounded ML Engineer to their team! In this role, you will be working on generative AI development, model deployment, data management, and ongoing research on AI/ML capabilities and trends. The right candidate must come from a financial services background.

**MUST BE A US CITIZEN OR GREEN CARD HOLDER**

Responsibilities:

• Develop and implement AI solutions (e.g., RAG, Agentic Workflows) with LLM fine-tuning and prompt engineering.
• Evaluate and optimize LLM performance to meet business goals.
• Integrate AI solutions into existing workflows with cross-functional teams.
• Design and deploy machine learning models to enhance product features and scalability.
• Collect, clean, and preprocess data for model training and evaluation.
• Apply data augmentation and manage data pipelines for optimal performance.
• Stay current on AI/ML trends and conduct research for innovative solutions.
• Collaborate with teams to align AI/ML initiatives with business objectives.
• Communicate technical concepts to non-technical stakeholders and mentor junior team members.

Qualifications:

• Financial services industry experience.
• Bachelor’s or Master’s in Computer Science, Data Science, or related field.
• 6 years of experience in Machine Learning and Data Science.
• Strong knowledge of statistical methods, data structures, and algorithms.
• Expertise in Python and ML libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch, LangChain).
• Experience with cloud platforms (AWS, Azure, GCP) and deploying AI solutions.
• Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Proven experience deploying machine learning models in production.
• Strong problem-solving, communication, and collaboration skills.
• Passion for learning and staying current with AI advancements.

If you're interested, please apply directly or email Emma at ecorcodilos@judge.com.