Machine Learning Engineer Contract

Job Description:

We are seeking a talented Machine Learning Engineer with expertise in 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 process improvements. Specifically, you will be working on projects involving ML & Generative AI solutions for Technology & Data Management Efficiencies such as optimal cloud computing, knowledge bots, Software Code Assistants, Automatic Data Management etc

Responsibilities:

– Collaborate with cross-functional teams to identify opportunities for technology process improvements that can be solved using machine learning and generative AI.

– Define and build innovate ML and Generative AI systems such as AI Assistants for varied SDLC tasks, and improve Data & Infrastructure management etc.

– Design and develop ML Engineering Solutions, generative AI Applications & Fine-Tuning Large Language Models (LLMs) 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, Statistics, Data Science, or a related field.

– Proven experience working as a Software Engineer, with a focus on ML Engineering and exposure to Generative AI Applications such as chatGPT.

– Strong proficiency in programming languages such as Java, Scala, Python, Google Cloud, Biq Query, Hadoop & Spark etc

– Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.

– Familiarity with large language models (LLMs), prompt engineering techniques, vector DB’s, embedding & various fine-tuning techniques.

– 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.