Advanced Data Science Professional

2 days ago

Chennai, Tamil Nadu, India beBeeDataScience Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: Data Science Expert

You will work with diverse datasets to build intelligent systems for event correlation, root cause analysis, predictive maintenance, and autonomous remediation. With a focus on data-driven solutions, you will lead the development of advanced machine learning models to solve complex IT Operations problems.

Responsibilities:
  • Machine Learning Solution Development:
    • Design and develop innovative machine learning models (supervised and unsupervised) leveraging structured and unstructured datasets to optimize model performance.
    • Apply strong statistical modeling, hypothesis testing, and experimental design principles to ensure rigorous model validation and reliable insights.
  • Ai/ML Product & Platform Development:
    • Lead the end-to-end development of Data Science products from conceptualization and prototyping to deployment and maintenance.
    • Develop and deploy AI Agents for automating workflows in IT operations using cloud-based technologies.
    • Implement robust RAG based retrieval frameworks for state-of-the-art models ensuring seamless integration with existing infrastructure.
  • MLOps & Deployment:
    • Drive the operationalization of machine learning models through robust MLOps/LLMOps practices ensuring scalable and efficient deployments.
    • Implement models as a service via APIs using containerization technologies like Docker and Kubernetes.
    • Design, build, and automate resilient Data Pipelines in cloud environments ensuring high-performance processing and low-latency data transfer.
  • Cloud & DevOps Integration:
    • Integrate data science solutions with existing IT infrastructure and AIOps platforms ensuring seamless collaboration and knowledge sharing.
    • Enable and optimize AIOps features within Data Analytics tools or dedicated AIOps platforms using business intelligence reporting.
    • Champion DevOps practices including CI/CD pipelines and infrastructure-as-code tools ensuring continuous delivery and deployment.
  • Performance & Reliability:
    • Monitor and optimize platform performance ensuring systems are running efficiently and securely.
    • Lead incident management efforts related to data science systems ensuring minimal downtime and maximum productivity.
  • Leadership & Collaboration:
    • Translate complex business problems into actionable data science solutions driving business growth and innovation.
    • Collaborate effectively with cross-functional teams to define project scope and requirements ensuring clear communication and mutual understanding.
    • Mentor junior data scientists and engineers promoting knowledge sharing and skill development.
  • Qualifications:
    • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
    • 8+ years of IT experience and 5+yrs of progressive experience as a Data Scientist with expertise in machine learning, cloud computing, and DevOps.
    • Proven track record of building and deploying machine learning models with significant impact on business outcomes.
    • Demonstrated experience with MLOps/LLMOps principles and tools ensuring model explainability and reliability.

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