Job Summary: We are looking for an expert Data Scientist (LLM/GenAI) to join our team. The ideal candidate will have a decent background of data science ( statistics, math, ML, DL) and good knowledge of Large Language Models (LLMs), along with hands-on experience in building and deploying development process automation in requirements, coding, testing, and maintenance. Key Responsibilities: Choose appropriate foundation model and APIs, develop, fine-tune, and deploy Large Language Models (LLMs) for various intelligent applications related to requirements, coding, testing, and maintenance activities. Design and develop ML/DL-based models to enhance natural language understanding capabilities. Build and optimize requirements related to engineering, such as requirement generation, test case generation, requirement gap analysis, bug analysis, and mapping, Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph. Work on retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications. Optimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc. for domain-specific tasks. Develop and implement prompt engineering techniques and fine-tuning strategies to improve LLM performance. Work on AI agents, multi-agent systems, and tool-use optimization for real-world business applications. Develop APIs and pipelines to integrate LLMs into enterprise applications. Performance and accuracy analysis for LLM applications. Requirements Required Skills & Qualifications: Strong academic background with knowledge of statistics and mathematics 2-3 Experience in LLM/GenAI and strong Python skills Hands-on experience in developing and deploying AI solutions related to requirement engineering or other development cycle automation projects for at least a year. Experience with LLM RAG/ agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph. Knowledge of vector databases (e.g. Pinecone, Weaviate, ChromaDB) and embedding models . Understanding of Prompt Engineering and Fine-tuning LLMs . Ability to work independently and collaboratively in a fast-paced environment. Good to Have: · Proficiency in ML/DL frameworks such as TensorFlow, PyTorch, Hugging Face Transformers · Experience in working with APIs, Docker, FastAPI for model deployment · Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale. · Experience or knowledge of multimodal AI Why Join Us? Opportunity to work on cutting-edge LLM and Generative AI projects and learn from senior technologists. Collaborative and innovative work environment. Competitive salary and benefits. Rapid Career growth opportunities in AI and ML research and development. Show more Show less
You are a highly skilled and experienced Senior Engineer in Data Science who will be responsible for designing and implementing next-generation data science solutions. Your role will involve shaping the data strategy and driving innovation through advanced analytics and machine learning. In this position, your responsibilities will include providing technical leadership and designing end-to-end data science solutions. This encompasses data acquisition, ingestion, processing, storage, modeling, and deployment. You will also be tasked with developing and maintaining scalable data pipelines and architectures using cloud-based platforms and big data technologies to handle large volumes of data efficiently. Collaboration with stakeholders to define business requirements and translate them into technical specifications is essential. As a Senior Engineer in Data Science, you will select and implement appropriate machine learning algorithms and techniques, staying updated on the latest advancements in AI/ML to solve complex business problems. Building and deploying machine learning models, monitoring and evaluating model performance, and providing technical leadership and mentorship to junior data scientists are also key aspects of this role. Furthermore, you will contribute to the development of data science best practices and standards. To qualify for this position, you should hold a B.Tech/M.Tech/M.Sc (Mathematics/Statistics)/PhD from India or abroad. You are expected to have at least 4+ years of experience in data science and machine learning, with a total of around 7+ years of overall experience. A proven track record of technical leadership and implementing complex data science solutions is required, along with a strong understanding of data warehousing, data modeling, and ETL processes. Expertise in machine learning algorithms and techniques, time series analysis, programming proficiency in Python, knowledge of general data science tools, domain knowledge in Industrial, Manufacturing, and/or Healthcare, proficiency in cloud-based platforms and big data technologies, and excellent communication and collaboration skills are all essential qualifications for this role. Additionally, contributions to open-source projects or publications in relevant fields will be considered an added advantage.,
*Generate list of points of interest from a given company in USA * Send mails and try to reach in various ways * Cold call leads, fix meetings * Meet monthly targets of meeting * Follow up regularly warm prospects Performance bonus Sales incentives