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Urgent! Data Science Manager - Artificial Intelligence/Machine Learning Job Opening In Chennai – Now Hiring Chargeback Gurus
<p><p><b>Description : </b><br/><br/>Job brief : <br/><br/>An ideal candidate will have 7 to 12 years of experience working in live projects related to Artificial : </b><br/><br/>- Lead the design and implementation of enterprise-grade Machine Learning, Deep Learning and Generative AI solutions.<br/><br/>- Define and execute the AI technology projects, aligning Generative AI, Machine Learning, and Deep Learning initiatives with business strategy and data architecture.<br/><br/>- Design, evaluate, and guide development of autonomous and agentic AI systems capable of reasoning, planning, and tool-based decision-making.<br/><br/>- Architect end-to-end RAG pipelines including document processing, embedding generation, vector storage, retrieval mechanisms, and contextual response systems.<br/><br/>- Oversee Machine Learning and Deep Learning model development, training, deployment, and optimization for predictive and generative use cases.<br/><br/>- Establish robust LLMOps / MLOps pipelines ensuring model lifecycle management, observability, version control, and performance monitoring.<br/><br/>- Collaborate with data engineering, analytics, and DevOps teams to integrate AI systems with enterprise data warehouse/lakes, APIs, and reporting environments.<br/><br/>- work with stakeholders to identify, evaluate, and prioritize AI-driven business opportunities, focusing on measurable impact and innovation.<br/><br/>- Provide technical leadership, mentorship, and guidance to AI engineers, data scientists, and developers, fostering a high-performance innovation culture.<br/><br/>- Stay ahead of emerging AI research, frameworks, and tools, driving continuous evolution of enterprise AI capabilities.<br/><br/><b>Skills Areas : </b><br/><br/>- Deep expertise in Generative AI, Large Language Models (GPT, Claude, Llama, Mistral, etc.), and RAG architectures.<br/><br/>- Strong proficiency in Agentic AI concepts - autonomous agents, multi-agent orchestration, and reasoning loops.<br/><br/>- Advanced understanding of Machine Learning (ML) and Deep Learning (DL) algorithms, architectures (Transformers, CNNs, RNNs), and model deployment workflows.<br/><br/>- Experience architecting solutions with AWS agentic AI framework, LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.<br/><br/>- Hands-on experience with RDBMS, No SQL and vector databases.<br/><br/>- Proficiency in Python, scikit-learn, PyTorch, TensorFlow, and Hugging Face Transformers.<br/><br/>- Expertise in LLMOps / MLOps practices model training, CI/CD, observability, and drift management.<br/><br/>- Deep understanding of cloud-native AI architecture (AWS Sagemaker, Azure AI, GCP Vertex AI).<br/><br/>- Strong foundation in AI governance, ethical AI, and compliance frameworks.<br/><br/>- Excellent leadership, communication, and stakeholder management skills to align AI initiatives with business goals.<br/><br/><b>Good-to-Have Skills : </b><br/><br/>- Experience in Data Engineering ETL/ELT pipeline design, data modeling, data warehousing, and integration with AI pipelines.<br/><br/>- Familiarity with Data Visualization and BI tools such as Power BI, Tableau, Amazon QuickSight especially for building analytical insights from AI-driven data.<br/><br/>- Understanding of DataOps and analytics architectures supporting AI and decision intelligence systems.<br/><br/>- Knowledge of enterprise data platforms and API-based data integration to connect AI models with structured and unstructured data sources.<br/><br/><b>Experience : </b><br/><br/>- The ideal candidate will have relevant experience of > 7 years.<br/><br/>- Possession of a professional degree / post-graduation is desirable.<br/><br/>- Certifications in the respective technology areas will be an added advantage.<br/><br/></p><br/></p> (ref:hirist.tech)
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Unlock Your Data Science Potential: Insight & Career Growth Guide
Real-time Data Science Jobs Trends in Chennai, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Science in Chennai, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 150150 jobs in India and 2841 jobs in Chennai. This comprehensive analysis highlights market share and opportunities for professionals in Data Science roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Chargeback Gurus is currently hiring and seeking a Data Science Manager Artificial Intelligence/Machine Learning to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Chargeback Gurus adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Science Manager Artificial Intelligence/Machine Learning Jobs India varies, but the pay scale is rated "Standard" in Chennai. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Science Manager Artificial Intelligence/Machine Learning typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Data Science Manager Artificial Intelligence/Machine Learning interview at Chargeback Gurus, research the company, understand the job requirements, and practice common interview questions.
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