Lead Data Scientist Behind Force Tech Solution India

10.0 - 15.0 years

20 - 35 Lacs

chennai

Work from Office

We are seeking an accomplished Senior Technical Specialist Data Science to lead cutting-edge AI/ML initiatives, design scalable data-driven solutions, and drive innovation across the enterprise. This role requires deep expertise in AI/ML, cloud technologies (Azure), data engineering, and MLOps , with proven experience in leading teams and delivering AI-powered solutions to solve complex business challenges. Key Responsibilities Leadership & Mentorship : Lead, mentor, and inspire a team of Data Scientists to deliver enterprise-grade AI/ML solutions. Solution Architecture : Design and implement end-to-end AI/ML architectures for complex business problems. Generative AI & NLP : Develop Generative AI applications, including RAG-based chatbots, leveraging LLMs, LangChain, LlamaIndex, and Azure OpenAI. MLOps & Deployment : Build, deploy, and monitor scalable ML pipelines using MLFlow, Kubeflow, ClearML, and Azure MLOps frameworks. Advanced Modeling : Deliver predictive modeling, deep learning, and NLP solutions using TensorFlow, PyTorch, BERT, and advanced ML algorithms. Data Visualization & Insights : Perform data analysis and develop interactive dashboards using Tableau, Power BI, Streamlit, and Matplotlib. Cloud & DevOps Integration : Collaborate with DevOps teams to automate ML workflows, optimize infrastructure with Docker/Jenkins, and ensure model scalability and reliability. Strategic Collaboration : Partner with business leaders to define AI strategy, drive data-driven decision-making, and deliver measurable business impact. Innovation & Research : Stay at the forefront of AI/ML advancements, applying emerging techniques to improve accuracy, efficiency, and scalability. Required Skills & Expertise Programming & Scripting : Python, PowerShell, Bash, Perl Machine Learning & Deep Learning : SVM, KNN, XGBoost, LSTM, TensorFlow, PyTorch NLP & Generative AI : Spacy, BERT, LangChain, LlamaIndex, LLOps frameworks Data Visualization : Tableau, Power BI, Streamlit, Matplotlib Cloud & MLOps : Azure ML Studio, Azure OpenAI, Docker, Jenkins, GitHub, MLFlow, ClearML, Kubeflow Databases & Big Data : MS-SQL, Data Preprocessing, Feature Engineering Qualifications Bachelors or Master’s in Computer Science, Data Science, AI/ML, or related field. 10+ years of experience in data science/AI, with at least 3+ years in a leadership role . Proven track record of delivering AI/ML solutions at scale in enterprise environments.

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