Job Description:

This job is fully remote

Duration: 7 months contract (with possible extension)

Schedule: Mon-Fri (8am-5pm CST)

The Investments Gen AI Team pioneers' transformative Generative AI innovations by harnessing AI to tackle company's Investment's most complex challenges with an interdisciplinary, forward-thinking approach. As ML Engineer within the team you will:

• Work in a highly talented diverse team.
• Be encouraged to continuously learn new skills, technologies, and tools.
• Identify areas for innovation and have the freedom to rapidly explore and test out your ideas.
• Play a critical role in the design, development, and deployment of AI/ML tools.
• lead the effort in taking AI/ML solutions from proof-of-concept to production-ready state.

Responsibilities include (but are not limited to):

• Participate in large projects, demonstrating technical expertise and a hands-on approach in experimentation and productization.
• Engage in hands-on coding, model development, and AI/ML experimentations, focusing on creating production-ready AI/ML solutions.
• Collaborate with Digital Product Managers, Enterprise AI/ML teams, and various Investments Business users to implement AI/ML solutions across Investments.

Skills:

• Deep understanding of machine learning fundamentals and ability to apply them in developing and implementing AI/ML solutions.
• Experience with GenAI technologies and techniques (e.g., RAG, fine-tuning, vector stores, Agentic frameworks, Prompt Flows).
• Solid grasp of software development principles, including design patterns, testing, and version control such as Git.
• Comfortable with hands-on involvement in AI/ML experimentation and model development.
• Proficiency in Python
• Proficiency in cloud technologies (Clienture/AWS)
• Development experience with Java Spring boot, React JS preferrable to built end-to-end solution
• Excellent communicator with both technical and non-technical team members.

Experience:

• Minimum of 3 years of experience working on AI/ML projects, with a focus on productizing AI/ML solutions.
• We also have some desirable criteria.

Preferred:

• Solid understanding of agile methodologies.
• Experience with Kubernetes.
• Experience in fine tuning LLMs, Advanced RAG, Agentic frameworks.
• Proficiency working with Clienture fabric.

Education:

Bachelors degree or equivalent experience.