Lead Data Scientist
Chargeback Gurus Fintech Pvt LtdChennai, TN, in6 days ago
Job type
- Quick Apply
Job descriptionDeep knowledge in Generative AI, Large Language Models (GPT, Claude, Llama, Mistral, etc.), and RAG architectures. Strong proficiency in Agentic AI concepts — autonomous agents, multi-agent orchestration, and reasoning loops. Advanced understanding of Machine Learning (ML) and Deep Learning (DL) algorithms, architectures (Transformers, CNNs, RNNs), and model deployment workflows. Experience in implement solutions using LLM, AWS Agentic AI framework, LangChain, LlamaIndex or similar frameworks. Hands-on experience with RDBMS, No SQL and vector databases Proficiency in Python, scikit-learn, PyTorch, TensorFlow, and Hugging Face Transformers. Expertise in LLMOps / MLOps practices – model training, CI / CD, observability, and drift management. Deep understanding of cloud-native AI development tool (AWS Sagemaker, Azure AI, GCP Vertex AI). Excellent leadership, communication, and stakeholder management skills to align AI initiatives with business goals. Experience in Data Engineering – ETL / ELT pipeline design, data modeling, data warehousing, and integration with AI pipelines. Familiarity with Data Visualization and BI tools such as Power BI, Tableau, Amazon QuickSight especially for building analytical insights from AI-driven data. Understanding of DataOps and analytics architectures supporting AI and decision intelligence systems. Knowledge of enterprise data platforms and API-based data integration to connect AI models with structured and unstructured data sources . Good knowledge of MS Office programs including Word, Outlook, Excel and PowerPoint and PDF and ability to run reports and analyze large data sets Be a good team player and collaborate well with others with respect and dignity Good verbal and written communication skills Ability to interact with client and team members in a professional and respectful manner Proven ability to multi-task, handle stressful situations and deadline pressures Work schedule flexibility an absolute requirement based on business needs of a multi-shift operation Problem-solving skills. Accuracy and attention to detail Should be creative, systematic and fast learner Strong oral and written competency and Minimum 1 to 2 years of relevant work experience.
Job Description
- Lead the design and implementation of enterprise-grade Machine Learning, Deep Learning and Generative AI solutions.
- Define and execute the AI technology projects, aligning Generative AI, Machine Learning, and Deep Learning initiatives with business strategy and data architecture.
- Design, evaluate, and guide development of autonomous and Agentic AI systems capable of reasoning, planning, and tool-based decision-making.
- Architect end-to-end RAG pipelines – including document processing, embedding generation, vector storage, retrieval mechanisms, and contextual response systems.
- Oversee Machine Learning and Deep Learning model development, training, deployment, and optimization for predictive and generative use cases.
- Establish robust LLMOps / MLOps pipelines ensuring model lifecycle management, observability, version control, and performance monitoring.
- Collaborate with data engineering, analytics, and DevOps teams to integrate AI systems with enterprise data warehouse / lakes, APIs, and reporting environments.
- Work with stakeholders to identify, evaluate, and prioritize AI-driven business opportunities, focusing on measurable impact and innovation.
- Provide technical leadership, mentorship, and guidance to AI engineers, data scientists, and developers, fostering a high-performance innovation culture.
- Stay ahead of emerging AI research, frameworks, and tools, driving continuous evolution of enterprise AI capabilities.
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Lead Data Scientist • Chennai, TN, in