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    Job · 21311705

    BENGALURU · FULLTIME

    Sr Advanced Data Scientist

    SPA systems

    SPA systems

    Bengaluru · onsite · Posted 4d ago

    Sourced fromNaukri
    Undisclosed8–14 yrsfulltimeBengaluru

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    Section · 01

    About this role

    We are seeking an experienced Advanced Data Scientist to join our AI and Analytics product development team. In this role, you will drive the research, design, development, and deployment of advanced AI-powered solutions leveraging Generative AI, Machine Learning, Deep Learning, and modern Data Engineering technologies. You will work on high-value, complex business challenges, transforming large-scale industrial and enterprise data into actionable insights and intelligent products.
    The ideal candidate combines strong expertise in AI/ML model development with robust software engineering and data engineering capabilities, enabling the delivery of scalable, production-grade solutions from concept through deployment.
    Required Qualifications
    • Bachelors or master s degree in Engineering, Applied Mathematics, Statistics, or a related discipline.
    • 8 to 14 years of overall experience with at least 4 years of relevant experience in AI/ML, Analytics, Data Science, or Data Engineering product development.
    • Strong analytical and problem-solving skills with the ability to derive insights from complex data.
    • Experience developing and deploying machine learning or AI-based products in production environments.
    • Experience working in agile product development organizations.
    Technical Skills
    Artificial Intelligence & Machine Learning
    • Generative AI
    • Large Language Models (LLMs)
    • Machine Learning
    • Deep Learning
    • Statistical Modeling
    • Predictive Analytics
    • Knowledge Graphs
    • Causal AI
    • Model Deployment and Monitoring
    Programming
    • Advanced Python
    • PySpark
    Data Engineering
    • Data Processing and Transformation
    • Data Pipeline Development
    • Data Preparation for ML Workloads
    • Python Packaging and Deployment
    Software Engineering Practices
    • Automated Unit Testing (PyTest)
    • CI/CD and DevOps Practices
    • Git / Bitbucket
    • GitHub Copilot
    • Scalable and Performant Application Design
    Preferred Qualifications
    • Experience working with Industrial Automation, Manufacturing, Process Control, or Industrial IoT data.
    • Experience supporting fast-paced product engineering and innovation teams.
    • Exposure to MLOps, AI platform development, and large-scale distributed data processing.
    • Strong communication, stakeholder management, and cross-functional collaboration skills.
    • Demonstrated ability to learn, explore, and adopt emerging technologies aligned with organizational objectives.
    Key Responsibilities
    • Research and apply advancements in Artificial Intelligence, including:
      • Generative AI and Large Language Models (LLMs)
      • Causal AI
      • Knowledge Graphs
      • Machine Learning and Deep Learning
    • Design, develop, and deploy scalable AI/ML solutions that solve complex customer and business problems.
    • Lead research initiatives, proof-of-concepts, pilot programs, and rapid prototyping activities to evaluate emerging technologies and product opportunities.
    • Build and optimize data pipelines, data engineering workflows, and analytics platforms to support machine learning applications.
    • Process, transform, and prepare structured and unstructured data for advanced analytics and AI model consumption.
    • Collaborate with product managers, domain experts, software engineers, architects, and stakeholders to deliver end-to-end solutions.
    • Perform problem analysis, solution design, development, integration, testing, deployment, maintenance, and support of analytics and AI products.
    • Establish best practices, standards, and governance processes for AI/ML model development, deployment, monitoring, and lifecycle management.
    • Develop high-quality, maintainable, and testable software using modern engineering practices including automated unit testing and CI/CD.
    • Evaluate and adopt productivity-enhancing tools, frameworks, and emerging technologies to accelerate innovation and delivery.


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

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    Section · 02

    Skills

    AutomationAgileApplication Designdata preparationai modelbitbucketanalytics platformscopilotAnalyticsApplied MathematicsData EngineeringAdvanced AnalyticsAi PlatformData PipelineArtificial Intelligence

    Section · Company

    About SPA Systems

    SPA systems

    SPA systems

    IT Services & Consulting

    294

    employees

    2010

    16 years old

    ₹5.5L PA avg

    Avg at SPA Systems

    About

    SPA Systems specializes in providing comprehensive software solutions, focusing on web and mobile app development through advanced technologies in India and Dallas.

    Industries

    IT Services & Consulting

    Employee ratings

    10 reviews

    3.4/ 5

    Culture

    2.3

    Career growth

    2.3

    Work-life

    2.0

    Employees rate it well for

    Job Security38Company Culture35

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