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 youre interested please share your candidature to
Job Title: Gen AI Machine Learning Engineer
Location: New York NY
Duration: 12months
Job Description;
- Write clean highperformance highquality 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 finetune and enhance LLMs for better performance and applicationspecific 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 Masters or Ph.D. degree in Computer Science or a related field.
- Minimum 8 years of experience in Machine Learning and last 12 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 DBs ( Mandatory )
- Experience working with various Embedddings /Embedding Models & finetuning LLMs ( Nice to have ).
- Strong communication skills to effectively collaborate and present findings to both technical and nontechnical 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.
Experience with large language models (LLMs) & prompt engineering techniques, vector DB's