Manager, Data Science and Machine Learning

Hyderabad, Andhra Pradesh Crunchyroll

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About Crunchyroll

Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it’s powered by the anime content we all love.

Join our team, and help us shape the future of anime!

About the role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The AI/ML team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

  • Lead and mentor a team of data scientists focused on developing and deploying ML solutions including GNNs, LLM-based applications, and fraud detection models.
  • Define and drive the roadmap for AI/ML initiatives across Crunchyroll’s product and platform ecosystem.
  • Guide the development of robust ML pipelines and infrastructure, working closely with data engineering, software engineering, and DevOps teams.
  • Establish best practices for experimentation, model evaluation, A/B testing, and continuous learning in production environments.
  • Work with stakeholders across business, marketing, security, and content teams to identify AI opportunities and translate them into actionable projects.
  • Ensure responsible AI/ML development by emphasizing model interpretability, performance, and fairness.
  • Own operational metrics around model impact, latency, cost, and system scalability.
  • Foster a strong team culture centered on innovation, curiosity, collaboration, and continuous learning.
  • About You

    We get excited about candidates, like you, because.

  • Bachelor's or Master's in Computer Science, Statistics, Data Science, or a related quantitative field.
  • 5+ years of industry experience in data science or applied ML, with 2+ years of people leadership experience.
  • Proven track record of delivering production ML systems that solve real-world business problems.
  • Deep knowledge of ML/AI frameworks (e.g., PyTorch, TensorFlow, HuggingFace) and experience with applied NLP, GNNs, GraphRAG, and embeddings.
  • Experience building systems leveraging Graph Databases, Vector Stores (e.g., FAISS, Pinecone), and cloud-native ML stacks (SageMaker, Databricks, etc.).
  • Strong technical leadership, with the ability to direct teams to develop optimal ML solutions and guide research-to-production lifecycle.
  • Excellent communication and stakeholder management skills; able to translate between business and technical worlds.
  • A passion for building high-performing teams, mentoring others, and fostering a learning-first environment.
  • About the Team

    The R&D team is dedicated to developing, testing, and validating robust and scalable machine learning models that drive business objectives. Our focus includes enhancing operational processes through AI/ML solutions, such as trend analysis, anomaly detection, and the deployment of large language models (LLMs) for tasks like querying system health. Another major focus area is preserving, and improving customer experience and retention. We closely work with our stakeholders to ensure AI/ML objectives are clearly defined.

    About our Values

    We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value

  • Courage. We believe that when we overcome fear, we enable our best selves.

  • Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding.

  • Kaizen. We have a growth mindset committed to constant forward progress.
  • Service. We serve our community with humility, enabling joy and belonging for others.

  • Our commitment to diversity and inclusion

    Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business.

    We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

    Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation.

    Questions about Crunchyroll’s hiring process? Please check out our Hiring FAQs: 

    Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights:

    Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly from @crunchyroll.com email account.

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    Data Science

    Hyderabad, Andhra Pradesh Anicalls (Pty) Ltd

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    • Design, develop, and evaluate state-of-the-art machine learning models for complex, large-scale data sets.
    • .Use machine learning, statistical, and programming skills to enable data analytics.
    • Drive informed decision-making and present findings to both technical and non-technical audiences.
    • Work closely with physicians to identify medically relevant use cases, develop machine learning models, and validate impact.
    • Deliver insights and values from heterogeneous data to investigate complex problems in the health care domain for multiple use cases
    • Provide technical direction and mentor junior members of the Medical Informatics team.
    • Work closely with software engineers to facilitate model integration and deployment.
    • Embrace a fast-paced, collaborative environment dedicated to building atop cutting-edge technology.
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    Data science specialist

    Hyderabad, Andhra Pradesh LawSikho

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    permanent
    We're Hiring for Data Science Instructors (100% Teaching Role) (Night Shift Only)for Full Time & Permanent Remote opportunity!Vacancy - 5Minimum 4 years (Full Time) of experience in Teaching/Non Teaching in Data Science is a MUSTBudget - 50-75k Per Month (Gross) (Fixed) + Incentives As per Class PerformanceSkill Arbitrage is looking for passionate educators to empower aspiring data professionalsWhat we’re looking for: #Python, #Excel, #SQL, #Tableau, #Power BI, #ML, and #datavisualizationSubstantial Experience in IT (Non Teaching Domain)Ability to simplify complex concepts with clarityStrong judgment, creativity, and content development skillsStrong proficiency in English communicationResponsibilities :Develop and deliver engaging curriculum.Provide constructive feedback and assess student progress.Collaborate with students and team members effectively.If you’re excited to inspire and shape the future of data science, send updated CVs to can also directly reach me on (Whats App only)
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    Mlops data science

    Hyderabad, Andhra Pradesh Infogain

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    permanent
    Key Responsibilities:Develop, train, and validate predictive and analytical models using machine learning techniques.Collaborate with data engineers and business teams to define data requirements and success metrics.Deploy machine learning models into production using ML Ops best practices.Build automated pipelines for model training, testing, monitoring, and retraining.Optimize model performance and ensure scalability and reliability.Monitor model drift, performance degradation, and ensure continuous improvement.Implement CI/CD practices for machine learning workflows.Technical Skills Required:Strong proficiency in Python (Pandas, Num Py, Scikit-learn, Py Torch/Tensor Flow).Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow, Sage Maker, Vertex AI, or Azure ML).Good understanding of data engineering concepts (ETL, data pipelines, APIs).Hands-on with containerization and orchestration (Docker, Kubernetes).Knowledge of cloud platforms (AWS, GCP, or Azure) for ML model deployment.Strong background in statistics, machine learning algorithms, and model evaluation techniques.Familiarity with version control (Git) and CI/CD pipelines.Preferred Qualifications:Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field.Experience in handling large-scale data pipelines and real-time model serving.Exposure to feature stores and automated model monitoring.Strong problem-solving, analytical, and communication skills.
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    Data Science Engineer

    Hyderabad, Andhra Pradesh Anicalls (Pty) Ltd

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    Candidate must have:
    •Experience in data processing tools such as Talend processing data formats such as CSV, XML, JSON, etc would be required.
    •The ability to combine big data with traditional relational databases such as SQL Server or Oracle would be an advantage for the role.
    •The ability to program in Python and an awareness of common libraries and how they are used is beneficial.
    •Awareness of Tableau or equivalent visualization tools and associated concepts would be beneficial as these are used extensively by the Research Line of Business.
    •Awareness of Natural Language Processing models, techniques, and concepts would be advantageous as this is a growth area for the Line of Business.
    •Awareness of the Cloudera big data technology stack and an understanding of big data concepts and demonstrable experience of retrieving data, joining data, and managing data in a Hadoop database via tools such as HUE would be an asset.
    •A good understanding of ETL tools used on big data platforms and demonstrable experience in creating and managing data pipelines would be essential for this role.
    Candidate should have
    • Experience working with ETL, Python, Hadoop, Talend.
    •Prior experience working in the financial industry is highly preferred.

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    Data Science Trainer

    Hyderabad, Andhra Pradesh Toolify Private Limited

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    Job descriptionWe are looking for Manager Data Science with experience of Managing large portfolios to develop PayPal s Risk strategy within the Large Merchant and Markets Fraud Risk solutions team. Manager Data Science will be the end-to-end owner of the new products / Markets and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include leading a team of data scientists to deliver impactful, data-driven solutions across the business. This role combines technical expertise with strategic leadership to guide end-to-end project execution, from defining business problems to deploying models and delivering insights. The manager also aligns cross-functional stakeholders and ensures the Risk strategy function contributes meaningfully to business growth and innovation.Meet our teamPayPals Global Fraud Protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPals bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience.This open opportunity is within the Large Merchant and Markets Fraud Risk team. This portfolio is comprised of PayPal s newest leading-edge payments solutions, such as Risk-as-Service, Fastlane, PayPal Complete Payments, etc as we'll as customized experiences developed for the company s highest-priority strategic Markets and Partnerships.You will be the Manager Data Science in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners.Your day to dayIn this role you will have full ownership of a portfolio some PayPal products or Markets and will be responsible for end-to-end management of loss and decline rates working with a few Data Scientists in the team.Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction.Work on multiple assignments simultaneously while focus on how to achieve overall analytic objectives of a project with speed and quality and suggest ideas for execution and efficiency.The manager also aligns cross-functional stakeholders and ensures the Risk strategy function contributes meaningfully to business growth and innovation while meeting KPIs such as Authentication and loss rate targets.What do you need to bring-9-14 years of relevant experience working with large-scale complex dataset along with managing a team of 3-6 Data Scientists.Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questionsExcellent communication skills, equally adept at working with engineers as we'll as business leadersWant to build new solutions and invent new approaches to big, ambiguous, critical problemsStrong working knowledge of Excel, SQL and Python/RTechnical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development.Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (eg, regression, classification, clustering, decision trees, anomaly detection, etc).Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc along with basic statistical concepts
  • Experience

    13 - 22 Years

  • No. of Openings

    2

  • Education

    B.C.A

  • Role

    Data Science Trainer

  • Industry Type

    IT-Hardware & Networking / IT-Software / Software Services

  • Gender

    ( Male / Female )

  • Job Country

    India

  • Type of Job

    Full Time

  • Work Location Type

    Work from Office

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    Manager - Data Science

    Hyderabad, Andhra Pradesh Blend360

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    Job Description

    Location : Hyderabad

    Role Highlights:

    As a Manager - Data Science , you wont just manage, you'll lead by doing . This role demands strong hands-on expertise in Machine Learning, Generative AI, Python, and SQL , and any cloud environment (GCP, Azure or AWS) ensuring that you stay deeply engaged in the technical side while mentoring and growing a high-performing team. You'll spearhead end-to-end AI/ML project execution , collaborate with cross-functional teams, and drive innovation within Blends Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, wed love to have you on board!

    What You'll Tackle Each Day:

    Delivery & Project Management:

    • Develop and implement ML models, Gen AI solutions, and predictive analytics .
    • Perform data mining, feature engineering, and statistical analysis .
    • Own project roadmaps, quality control, and timely delivery .
    • Collaborate with Data Engineering teams to deploy and operationalize ML models .
    • Automate and optimize workflows for efficiency.

    Practice Development:

    • Contribute to scaling Blends Data Science practice by building new capabilities.
    • Design industry-specific AI/ML solutions and contribute to thought leadership.
    • Evaluate emerging AI trends and tools and integrate them into our ecosystem.
    • Lead innovation initiatives , research, and internal AI development.

    People & Leadership:

    • Mentor and develop a high-performance data science team .
    • Guide career development and set performance benchmarks.
    • Collaborate with cross-functional teams to drive seamless execution.

    Qualifications

    • 8+ years of experience in Data Science & AI , with hands-on expertise in ML, Python, and SQL .
    • Exposure to Generative AI — Should have worked on at least a few POCs or pilot projects leveraging Gen AI capabilities
    • Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.).
    • Experience in end-to-end ML deployment , including working with either Azure or AWS or GCP or Databricks .
    • Proven ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce .
    • Deep expertise in statistics, probability, stochastic processes, and causal inference .
    • Strong communicator who can explain AI concepts to non-technical stakeholders .
    • Experience with big data tools (Hadoop, Hive, PySpark) and ML pipelines .
    • Bonus: Experience in Google Analytics, Adobe Analytics, or digital marketing analytics .
    • Bachelors/Master’s degree in Computer Science, Statistics, Math, Operations Research, or a related field .

    What do you get in return?

    • Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table.
    • Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career.
    • Idea Tanks : Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future.
    • Growth Chats : Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills.
    • Snack Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing.
    • Recognition & Rewards : We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program.
    • Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications.

    Apply Now!



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