Gen AI ML Engineer

Role - Gen AI ML Engineer
Mode - 👉 Contract
Location - 👉 NY/NJ [Onsite]
Rate - Market
Experience - +8 Years
Job Description- 
Job Description:
We are seeking a talented Machine Learning Engineer with expertise in Machine Learning and software engineering to join our team. As a Machine Learning Engineer, your primary responsibility will be to develop Machine Learning (ML) solutions that focus on technology improvements. Specifically, you will be working on projects involving ML & Generative AI solutions for Technology & Data Management Efficiencies such as AI Agents for optimal cloud comptuting, knowledge bots, Assistants etc

Responsibilities:
- Collaborate with cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify oppurtunities for process improvements that can be solved using machine learning and generative AI.
- Write clean, high-performance, high-quality, maintainable code.
- Discovering, analyzing, structuring and mining data.
- Define and build innovate ML and Generative AI systems. 
- Design and develop ML Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions.
- Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
- Stay abreast of the latest advancements in the field of Generative AI and actively contribute to the research and development of new ML & Generative AI Solutions.

Requirements:
- A Master's or Ph.D. degree in Computer Science or a related field.
- Minimum 8 years of experience in Machine Learning and last 1-2 years in Generative AI solutions.
- Proven experience working as a Full Stack ML Engineer, with a focus on Machine Learning, ML Engineering and experience in Generative AI Applications such as RAG based AI Agents. 
- Strong proficiency in programming languages such as Machine Learning Algorithms, Python, Hadoop & Spark etc
- Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
- Experience with large language models (LLMs) & prompt engineering techniques, vector DB's ( Mandatory )
- Experience working with various Embedddings /Embedding Models & fine-tuning LLM's ( Nice to have ).
- Strong communication skills to effectively collaborate and present findings to both technical and non-technical stakeholders.
- Proven ability to adapt and learn new technologies and frameworks quickly.
- A proactive mindset with a passion for continuous learning and research in the field of Generative AI.