Machine Learning Engineer

**OB DESCRIPTION** We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Applied AI ML Associate Senior within Consumer and Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. **Job Responsibilities** - Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using Agentic/GenAI frameworks in a fast-paced environment. - Conduct research on prompt and context engineering techniques to enhance the performance of LLM-based solutions. - Design and implement scalable and reliable data processing pipelines, performing analysis and deriving insights to optimize business outcomes. - Build and maintain Data Lakes and data processing workflows using Databricks to support machine learning operations. - Communicate technical concepts and results effectively to both technical and non-technical stakeholders. - Utilize AWS services including S3, Lambda, Redshift, Athena, Step Functions, MSK, EKS, and Data Lake architectures. - Collaborate with data scientists, engineers, and business stakeholders to deliver high-quality data solutions. - Act as a self-starter, independently taking initiative in driving assignments to completion and solving problems without the need for escalation. **Required Qualifications, Capabilities, and Skills** - Advanced degree in Computer Science, Data Science, Mathematics, or a related field. - 3+ years of applied experience in data science, machine learning, or related areas. - Strong programming skills in Python, with experience in PySpark, Spark SQL, Dataframes - Experience LLM Orchestration and Agentic AI libraries - Proficiency in using GenAI models (OpenAI or similar) to solve business problems. - Experience in building AI Agents, Agentic frameworks and MCP Servers. - Experience in 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. - Fast learner with the ability to quickly develop Proof of Concepts and advance them to production.Ability to mentor and guide other team members. **Preferred Qualifications, Capabilities, and Skills** - Proficiency in all other AWS componentspreferably AWS certified. - Experience integrating AI/ML models into data pipelines is a plus. - Experience with version control (Git) and CI/CD pipelines. - Experience in full stack development including Java/J2EE based microservices, React UI Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.