Junior Machine Learning Developer

Keywords to search in the resume - Prompt Engineering, RAG, ChatBot, CI/CD, Docker, Testing, Vector DB’s etc. Experience in less than 6/7 years.

 They will do 30% QA Testing of Generative AI Applications and help with Product Users Engagement

Responsibilities:

Collaborate with cross-functional teams such as Data Scientists, Product Partners and 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.

Build and Test 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 Bacherlor's degree in Computer Science or a related field. 3 to 6 yrs exerience in the below skills.

Proven experience working as a Software Engineer, with a focus on ML Engineering and experience to Generative AI Applications such as chatGPT, Llama Models, Vector DB's and Prompt Engineering and LangChain/Llamaindex.

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, API's and testing methodologies.

Experience with large language models (LLMs) & prompt engineering techniques, vector DB's ( Mandatory )

Experience working with various Embedddings /Embedding Models.

Should be able to query and search vector DB's such as Milvus.

Should have developed Retrieval Augumented Generation Applications using Vector DB's.

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.

 If you are a skilled and innovative ML Engineer with a passion for Generative AI, and have a desire to contribute to innovative solutions, we would love to hear from you. Join our team and help shape the future of our AI Driven Technology Solutions.