Job
Description
As a Lead Data Scientist at E-Solutions, you will be responsible for leading and managing a team of data scientists, providing guidance, mentorship, and technical expertise. You will collaborate with stakeholders to understand business objectives and develop data science strategies aligned with those objectives. Your role will involve designing, developing, and implementing advanced machine learning and statistical models to solve complex business problems. Additionally, you will conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. Key Responsibilities: - Lead and manage a team of data scientists, providing guidance, mentorship, and technical expertise - Collaborate with stakeholders to develop data science strategies aligned with business objectives - Design, develop, and implement advanced machine learning and statistical models - Conduct exploratory data analysis, data cleansing, and feature engineering - Good in fine-tuning and optimization of LLMs like Open AI, Gemini AI, Copilot, and open-source models like LLAMA, DeepSeek, and BERT - Hands-on experience in Prompt Engineering and RAG for real-world applications - Develop Conversational AI, ChatBots, VoiceBots using modern NLP frameworks like SpaCy, Rasa, LangChain, Hugging Face - Use vector databases like Pinecone, Vertex AI, ChromaDB, or SingleStore to manage embeddings at scale - Deploy and monitor models on cloud platforms like Azure and GCP - Lead client engagements, RFP responses generation, and PoC development - Provide technical guidance, code reviews, and performance optimization support - Explore and utilize various data mining and machine learning techniques to extract valuable insights - Develop predictive/prescriptive models, algorithms, and prototypes - Communicate findings and insights to technical and non-technical stakeholders - Stay up to date with the latest trends in data science, machine learning, and AI technologies Qualifications: - A B.Tech / M.Tech / MBA from a top tier Institute preferably in a quantitative subject - 5+ years of hands-on experience in applied Machine Learning, AI, and analytics - A masters or bachelors degree in data science, Computer Science, Statistics, or a related field - Strong programming skills in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) - Expertise in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. - Strong expertise in Machine Learning, Deep Learning, Data mining, and Statistical concepts - Expertise in client engagement and offering solutions in various domains - Strong publication record in top-tier journals and conferences - Functional thought leader with the ability to sell ideas to executive level decision makers - Experience in developing software in traditional programming languages (C++, Java, etc.) - Excellent written and spoken communication skills Join E-Solutions, a leading AI consulting firm, and be part of an innovative journey to build cutting-edge AI/ML solutions across industries. As a Lead Data Scientist at E-Solutions, you will be responsible for leading and managing a team of data scientists, providing guidance, mentorship, and technical expertise. You will collaborate with stakeholders to understand business objectives and develop data science strategies aligned with those objectives. Your role will involve designing, developing, and implementing advanced machine learning and statistical models to solve complex business problems. Additionally, you will conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. Key Responsibilities: - Lead and manage a team of data scientists, providing guidance, mentorship, and technical expertise - Collaborate with stakeholders to develop data science strategies aligned with business objectives - Design, develop, and implement advanced machine learning and statistical models - Conduct exploratory data analysis, data cleansing, and feature engineering - Good in fine-tuning and optimization of LLMs like Open AI, Gemini AI, Copilot, and open-source models like LLAMA, DeepSeek, and BERT - Hands-on experience in Prompt Engineering and RAG for real-world applications - Develop Conversational AI, ChatBots, VoiceBots using modern NLP frameworks like SpaCy, Rasa, LangChain, Hugging Face - Use vector databases like Pinecone, Vertex AI, ChromaDB, or SingleStore to manage embeddings at scale - Deploy and monitor models on cloud platforms like Azure and GCP - Lead client engagements, RFP responses generation, and PoC development - Provide technical guidance, code reviews, and performance optimization support - Explore and utilize various data mining and machine learning techniques to extract valuable insights - Develop predictive/prescriptive models, algorithms, and prototypes - Communicate findings and insights to technical and non-technical stakehol
