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Senior - Data Scientist

Bangalore, India

Recruitment Fraud Alert

We’ve learned that scammers are impersonating Commvault team members—including HR and leadership—via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number.  

What to know:

  • Commvault does not conduct interviews by email or text.
  • We will never ask you to submit sensitive documents (including banking information, SSN, etc) before your first day.

If you suspect a recruiting scam, please contact us at wwrecruitingteam@commvault.com 

 

About Commvault 

Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data. 

The Opportunity:

You will design, develop, and deploy AI/ML solutions, build scalable data pipelines, and work on applications in NLP, Computer Vision, and Generative AI. The role requires strong programming (Python/Java/R), experience with ML frameworks (TensorFlow, PyTorch, Hugging Face), and cloud expertise (Azure/AWS). You’ll also implement MLOps (Docker, Kubernetes, CI/CD) and collaborate with teams to translate data insights into business impact.

What you’ll be doing..,

  • Will be responsible for designing and developing machine learning systems and AI systems, implementing appropriate ML algorithms, and conducting experiments. They possess strong programming skills, knowledge of data science, and expertise in statistics.
  • Work on system design and API development, cloud deployment, MLOps. design and develop scalable AI/ML applications.
  • Work with data to create models, perform analysis, train and retrain models to optimize performance. Your responsibilities will involve designing and constructing machine learning models, as well as refining and updating existing models.
  • Advanced problem-solving and quantitative analysis capabilities, utilizing programming languages like Python, Java and R to derive actionable insights.
  • Partner with other teams to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses, in order to increase efficiency of team’s workflows.
  • Implement MLOps practices, including containerization (Docker, Kubernetes), CI/CD pipelines (Azure DevOps), and version control (GitHub).
  • Lead and coordinate cross-functional projects
  • Work on massive structured, unstructured, transactional and real-time data sets from a variety of sources to analyse customer usage patterns and provide actionable, intuitive, impactful insights using metrics, algorithms, and statistics.
  • Design and build robust data pipelines for processing and analysing large datasets.
  • Proficient in implementing deep learning techniques for computer vision, DL , GEN AI , NLP, and reinforcement learning to solve complex problems.
  • Familiarity with MLOps, ensuring smooth integration of machine learning workflows into production environments and managing model lifecycle
  • Advanced understanding of AI model interpretability (e.g., SHAP, LIME) to provide insights into complex machine learning models and improve model transparency for business users
  • Collaborative team player with demonstrated experience working with cross-functional teams and stakeholders, ensuring alignment on objectives and successful delivery of data-driven solutions.
  • Proficient in communicating complex data insights and narratives to non-technical stakeholders, translating technical results into actionable business recommendations and strategic plans
  • Build predictive models to detect anomalies

Who you are?

Core Technical & Programming Skills

    • Python (must-have): Strong skills with ML/AI libraries (Scikit-learn, TensorFlow, PyTorch, Hugging Face).
    • SQL + Data Engineering Basics: Able to extract/transform data, work with structured + unstructured sources.
    • Statistics & Probability: Foundations for model evaluation, uncertainty, and A/B testing.
    • Software Engineering Practices: Git, code modularity, testing, CI/CD for ML code.

Applied AI/ML Expertise

    • Machine Learning Algorithms: Strong knowledge of regression, classification, clustering, ensemble methods.
    • Deep Learning: CNNs, RNNs, transformers, attention mechanisms.
    • LLMs & Generative AI: Fine-tuning, prompt engineering, embeddings, RAG (retrieval-augmented generation).
    • MLOps & Deployment: MLFlow, Docker/Kubernetes, model monitoring, scaling in production.
    • Big Data / Cloud AI Services: Spark, Databricks, AWS Sagemaker, Azure ML, or GCP Vertex AI.

Data Science & Research Skills

    • Feature Engineering & Representation Learning.
    • Experimentation & Model Evaluation: Cross-validation, metrics (precision, recall, F1, ROC, AUC), bias/fairness checks.
    • Applied Research Mindset: Ability to read academic papers, prototype, and translate new methods into production-ready systems.

Business & Communication Skills

    • Problem Framing: Translate business problems into ML/AI problems.
    • Data Storytelling: Present model results, limitations, and trade-offs clearly to non-technical teams.
    • Domain Adaptation: Apply AI/ML techniques effectively in the company’s specific context (e.g., finance, healthcare, retail).

Soft Skills & Mindset

    • Curiosity for cutting-edge AI/ML methods.
    • Comfort with ambiguity and rapid prototyping.
    • Strong collaboration with data engineers, product managers, and research scientists.
    • Responsible AI: Awareness of fairness, bias, interpretability, and compliance considerations

 

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Commvault is an equal opportunity workplace and is an affirmative action employer. We are always committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status and we will not discriminate against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we work.

Commvault’s goal is to make interviewing inclusive and accessible to all candidates and employees. If you have a disability or special need that requires accommodation to participate in the interview process or apply for a position at Commvault, please email accommodations@commvault.com For any inquiries not related to an accommodation please reach out to wwrecruitingteam@commvault.com.

 

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