Applied AI/ML Lead

Job Responsibilities

• Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using AIML, Agentic/GenAI frameworks in a fast-paced environment.
• Hands on experience in working on LLMs and agentic frameworks, such as Langchain/LangGraph and similar technologies.
• Developing AI/ML and Gen AI/ Agentic AI solutions to address impactful business needs.
• Strong experience in natural language processing (NLP) and its applications.
• Strong experience in all machine learning techniques, supervised, unsupervised, and semi-supervised techniques.
• Strong experience in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects.
• Working with other team members to productionize end-to-end AI/ML solutions.
• Engaging in research and development of innovative relevant solutions.
• Coaching and mentoring other AI/ML team members towards both personal and professional success.
• Collaborating with other teams across the firm to attain the mission and vision of the team and the firm.
• Engaging with stakeholders and understanding business requirements.
• Acting as a self-starter, independently taking initiative in driving assignments to completion and solving problems without escalation.

Required Qualifications, Capabilities, And Skills

• Advanced degree in Computer Science, Data Science, Mathematics, or a related field.
• 7+ years of applied experience in data science, machine learning, or related areas with strong programming skills in Python with experience in PySpark, Spark SQL, and manipulating data.
• Experience LLM Orchestration and Agentic AI libraries and proficiency in using GenAI models (OpenAI or similar) to solve business problems.
• Experience in building AI Agents, Agentic frameworks as well as building and managing data lakes and data processing workflows using Databricks.
• Ability to leverage AI agents and tools, such as Co-Pilot, to enhance productivity and code quality.
• Excellent problem-solving skills and the ability to communicate ideas and results clearly to stakeholders.
• Strong troubleshooting and problem-solving skills and fast learner with the ability to quickly develop Proof of Concepts and advance them to production.

Preferred Qualifications, Capabilities, And Skills

• Understanding of AWS component.
• Experience integrating AI/ML models into data pipelines is a plus.
• Experience with version control (Git) and CI/CD pipelines.
• Experience in PySpark is a plus.
• Financial service background.