Machine Learning Engineer

Location : Remote (Candidates must be physically located in the Eastern Time Zone) Key skills - Prompt Engineering, RAG, ChatBot, CI/CD, Docker, Testing, Vector DB's etc. Note : They will do 30% QA Testing of Generative AI Applications and help with Product Users Engagement. Job Description: We are seeking a talented Generative AI Application Developer with expertise in software engineering to join our team. As a GenAI Application Developer, your primary responsibility will be to develop & test Generative AI and 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 ChatBot, knowledge bots, AI Assistants etc Responsibilities : - Collaborate with cross-functional teams such as Data Scientists, Product Partners and Developers to identify opportunities 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 Bachelor's degree in Computer Science or a related field. - 3 to 6 yrs experience 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, BiqQuery, 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 Embeddings /Embedding Models. - Should be able to query and search vector DB's such as Milvus. - Should have developed Retrieval Augmented 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.