303 Recommendation Systems jobs in Hyderabad
Manager, Data Science and Machine Learning
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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.
About You
We get excited about candidates, like you, because.
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.
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.
Data Science
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• .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.
Data science specialist
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Mlops data science
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Data Science Engineer
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•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.
Data Science Trainer
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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
Manager - Data Science
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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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Data Science Solutions
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• Design and integrate data from different sources.
• Forms analytics platform components and processing components required to provide a business solution.
• Engage with business stakeholders to design and own end-to-end solutions to empower data-driven decision-making.
• Lead the design, implementation, and continuous delivery of an insights data pipeline supporting the development and operation of custom analytic products/services across the organization.
• Ensures appropriate data testing is completed and meets test plan requirements.