Generative AI and Data Science

Role: Developer: Generative AI and Data Science Work Experience: 3 – 4 Years Key Attributes: ● Graduate Engineer or postgraduate with 03 – 04 years of experience, out of which about 1+ years in advanced Generative AI technologies and the rest in Data Science, AI, and Machine Learning ● Must have a good grasp of database management, including Vector DBs, SQL (Structured Query Language), and NoSQL (Non-relational) databases. ● Must have hands-on Python-based web and back-end frameworks like Django, flask Must-Have Skills: ● Hands-on Gen AI experience across LLMs like OpenAI, Gemini, Mistral, Falcon, etc. ● Advanced RAG (Retrieval Augmented Generation), Multi-Modal RAG, LangChain, LlAMA ● Text analytics: NLP, Sentiment Analysis, Topic Modelling, Seq2Seq, Attention model, Tokenizer, Word2Vec, etc ● Strong proficiency in Python and related libraries (NumPy, Pandas, Scikit-learn, Tensor Flow, Keras, PyTorch, Flask or Django). ● Awareness on agentic System Development, which can perform tasks autonomously and interact with other systems. Key Responsibilities: ● Cross-functional collaboration: Work closely with product management, engineering, and business teams to integrate AI-driven features into products and services, ensuring they meet market needs and customer expectations. ● Investigate the technology trends and implement them within the product following the product vision, strategy, and roadmap. ● Carry out quick POCs/ build MVPs to rapidly demonstrate solution possibilities/feasibilities across Infrastructure, Storage, Analytics, AI/ML, Security etc, ● Ensure efficient usage of tools and implementation of processes and systems thus creating a proficient environment for effective delivery. ● Work with clients to ensure smooth and successful implementation, delivery, and deployment of complex solutions ● Compliance: Ensure all AI and data science activities comply with relevant data privacy laws, regulations, and ethical standards. ● Client Interaction: Engage with clients to understand their needs and ensure successful implementation, delivery, and deployment of AI-driven solutions. Show more Show less