Data Scientist and AI Engineer

Job Description

Hi I am hiring for IT Consulting Organisation Located at Baner - Pune. EXPERIENCE - 6YRS - 8YRS WORK FROM OFFICE - 5DAYS 2ND ROUND OF INTERVIEW IS INPERSON MANDATORY SHARE YOUR PROFILE - meeinal06@gmail.com / connect at 8123096972 Technical Skills: Proficient in Python and Pandas for data manipulation . Experience with Langchain or similar AI frameworks. Basic understanding of machine learning concepts and model implementation. Skills in prompt engineering for optimizing AI model interactions. Experience with Retrieval-Augmented Generation (RAG) and vector search technologies. Knowledge of deploying and managing LLMs and AI agents. Basic understanding of databases (SQL/NoSQL) and database management. Familiarity with cloud platforms (AWS, Azure, Google Cloud) is a plus. Full-Stack Development: Ability to work on both backend and frontend aspects is a plus. Frontend Development: Proficiency in frontend technologies (e.g., React, Vue.js) is highly desirable. Experience in product engineering, data engineering, or a similar role with a focus on AI technologies. Comprehensive understanding of the product lifecycle from design to deployment. Ability to manage product costs and resource allocation efficiently. Integration Skills: Proven ability to integrate new technologies into existing systems seamlessly. Soft Skills: Strong analytical and problem-solving abilities. Keen attention to detail. Excellent verbal and written communication skills. Ability to collaborate effectively within cross-functional teams. Must Haves : Previous involvement in AI product strategy and design Experience with frontend frameworks Strong analytical and problem-solving abilities. Bachelors degree in computer science, Engineering, Data Science, or a related field. Key Responsibilities AI Product Development: Design, develop, and deploy AI-driven applications utilizing Python, Pandas, Langchain (or similar frameworks), and related technologies. Machine Learning: Implement basic machine learning models to enhance product functionalities and performance. Prompt Engineering: Develop and optimize prompts to facilitate effective interactions with AI models. Retrieval-Augmented Generation (RAG) & Vector Search: Develop and integrate RAG and vector search capabilities to improve data retrieval and user interactions. LLM & AI Agent Deployment: Deploy and manage Large Language Models (LLMs) and AI agents, ensuring scalability and performance. System Integration: Integrate new AI systems with existing infrastructure, ensuring compatibility and reliability across platforms. Full-Stack Development (Plus): Assist in both backend and frontend development to ensure cohesive and robust product functionality. Frontend Development (Highly Desirable): Develop intuitive and user-friendly interfaces to enhance the overall user experience. Database Management: Utilize and manage databases effectively to support AI model training and product features. Product Design & Strategy: Collaborate with cross-functional teams to design AI products, focusing on cost-efficiency, deployment strategies, and user experience. Data Handling: Employ Pandas for data manipulation and analysis to support AI initiatives. Documentation & Best Practices: Maintain comprehensive documentation and adhere to software development best practices, including version control and agile methodologies. Continuous Improvement: Stay abreast of the latest advancements in AI and product engineering, proposing enhancements to elevate product offerings.