Hello,
We are from Mavinsys Talent Acquisition team based on One World Trade Centre, New York. We are specializing in IT services and staffing majorly in lateral hiring/contract. Below is one of our requirement to fill immediately, if you're interested, please share your candidature to joinus@mavinsys.com
Job Title: Gen AI Machine Learning Engineer
Location: New York, NY
Duration: 12months
Job Description;
- 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.