332 Recommendation Systems jobs in Hyderabad
Manager, Data Science and Machine Learning
Posted today
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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
Posted today
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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
Posted today
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Position Description:
We are seeking a highly experienced and innovative Senior AI Engineer to join our rapidly expanding AI/ML team. With 7+ years of hands-on experience, you will be instrumental in the end-to-end lifecycle of AI/ML solutions – from research and prototyping to developing, deploying, and maintaining production-grade intelligent systems. You will work on challenging problems, collaborate closely with data scientists, product managers, and software engineers, and drive the adoption of cutting-edge AI technologies across our platforms.Your future duties and responsibilities:
• Model Development & Implementation: Design, develop, train, and optimize robust and scalable machine learning models (e.g., deep learning, classical ML algorithms) for various applications.
• roduction Deployment (MLOps): Build and maintain end-to-end MLOps pipelines for model deployment, monitoring, versioning, and retraining, ensuring reliability and performance in production environments.
• D ta Engineering for AI: Work with large, complex datasets, performing data cleaning, feature engineering, and data pipeline development to prepare data for model training and inference.
• R search & Prototyping: Explore and evaluate new AI/ML technologies, algorithms, and research papers to identify opportunities for innovation and competitive advantage. Rapidly prototype and test new ideas.
• P rformance Optimization: Optimize AI/ML models and inference systems for speed, efficiency, and resource utilization.
• C llaboration & Communication: Partner closely with Data Scientists to transition research prototypes into production-ready solutions. Collaborate with Software Engineers to integrate AI models into existing products and platforms. Communicate complex AI concepts to both technical and non-technical stakeholders.
• C de Quality & Best Practices: Write clean, maintainable, and well-documented code. Advocate for and implement software engineering best practices within the AI/ML lifecycle.
• M nitoring & Maintenance: Implement robust monitoring for model performance, data drift, and system health in production, and troubleshoot issues as they arise.
Required qualifications to be successful in this role:
Must-Have Skills:
• 7 years of hands-on experience as an AI Engineer, Machine Learning Engineer, or a similar role focused on building and deploying AI/ML solutions.
• S rong proficiency in Python and its relevant ML/data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• E tensive experience with at least one major deep learning framework such as TensorFlow, PyTorch, or Keras.
• S lid understanding of machine learning principles, algorithms (e.g., regression, classification, clustering, ensemble methods), and statistical modeling.
• E perience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI).
• P oven experience with MLOps concepts and tools for model lifecycle management (e.g., MLflow, Kubeflow, Sagemaker MLOps, Azure ML Pipelines).
• S rong SQL skills for data manipulation, analysis, and feature extraction from relational databases.
• E perience with data preprocessing, feature engineering, and handling large datasets.
Good-to-Have Skills:
• F miliarity with software development best practices including version control (Git), code reviews, and CI/CD.
CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.
Skills:
Data Science IC2
Posted 3 days ago
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Microsoft Cloud Planning (MCP) is the central planning function within CSCP focused on forecasting, demand planning, and supply planning for all Microsoft Cloud services and associated hardware, directly impacting the success of Microsoft's cloud business.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
#CSCP #CSCPJobs
**Responsibilities**
Researches and develops production-grade models (forecasting, anomaly detection, optimization, clustering, etc.) for our global cloud business by using statistical and machine learning techniques. Manages large volumes of data, and creates new and improved solutions for data collection, management, analyses, and data science model development. Drives the onboarding of new data and the refinement of existing data sources through feature engineering and feature selection. Applies statistical concepts and cutting-edge machine learning techniques to analyze cloud demand and optimize our data science model code for distributed computing platforms and task automation. Works closely with other data scientists and data engineers to deploy models that drive cloud infrastructure capacity planning. Presents analytical findings and business insights to project managers, stakeholders, and senior leadership and keeps abreast of new statistical / machine learning techniques and implement them as appropriate to improve predictive performance. Oversees and directs the plan or forecast across the company for demand planning. Evangelizes the demand plan with other leaders. Drives clarity and understanding of what is required to achieve the plan (e.g., promotions, sales resources, collaborative planning, forecasting, and replenishment (CPFR), budget, engineering changes) and assesses plans to mitigate potential risks and issues. Oversees the analysis of data and leads the team in identifying trends, patterns, correlations, and insights to develop new forecasting models and improve existing models. Oversees development of short and long term demand forecasts and develops and publishes key forecast accuracy metrics. Analyzes data to identify potential sources of forecasting error. Serves as an expert resource and leader of demand planning across the company and ensures that business drivers are incorporated into the plan (e.g., forecast, budget). Leads collaboration among team and leverages data to identify pockets of opportunity to apply state-of-the-art algorithms to improve a solution to a business problem. Consistently leverages knowledge of techniques to optimize analysis using algorithms. Modifies statistical analysis tools for evaluating Machine Learning models. Solves deep and challenging problems for circumstances such as when model predictions are not correct, when models do not match the training data or the design outcomes when the data is not clean when it is unclear which analyses to run, and when the process is ambiguous. Provides coaching to team members on business context, interpretation, and the implications of findings. Interprets findings and their implications for multiple businesses, and champions methodological rigor by calling attention to the limitations of knowledge wherever biases in data, methods, and analysis exist. Generates and leverages insights that inform future studies and reframe the research agenda. Informs both current business decisions by implementing and adapting supply-chain strategies through complex business intelligence. Connects across functional teams and the broader organization outside of Demand Planning to advocate for continuous improvement and maintain best practices. Leads broad governance and rhythm of the business processes that ensure cross-group collaboration, discussion of key issues, and an opportunity to build proposed solutions to address current or future business needs.
**Qualifications**
Required/minimum qualifications
Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field OR Associate's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field OR equivalent experience.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to, the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred qualifications:
PhD in Statistics, Applied Mathematics, Applied Economics, Computer Science or Engineering, Data Science, Operations Research or similar applied quantitative field. Experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel) with skill level at or near fluency. Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid knowledge of theory and practice. Prior experience in time series forecasting. Prior experience with typical data management systems and tools such as SQL. Knowledge and ability to work within a large-scale computing or big data context, and hands-on experience with Hadoop, Spark, DataBricks or similar. Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git. Knowledge of supply chain models, operations research techniques, optimization modelling and solvers. Excellent analytical skills; ability to understand business needs and translate them into technical solutions, including analysis specifications and models. Creative thinking skills with emphasis on developing innovative methods to solve hard problems under ambiguity and no obvious solutions. Good interpersonal and communication (verbal and written) skills, including the ability to write concise and accurate technical documentation and communicate technical ideas to non-technical audiences.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Data Science Specialist
Posted 1 day ago
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Job Description
Title: Data Science
Experience: 8–15 years (at least 5 years relevant in AI/ML)
Location: Hyderabad
Notice Period: Immediate joiners only
Work Mode: Hybrid (2 days in office)
Interview Process: L1 – Virtual | L2 – Client (mandatory face-to-face in Hyderabad). Only candidates open to F2F can be considered.
Role Requirements:
- 8+ years’ proven experience in AI/ML solution design and deployment .
- Strong expertise in AI, ML, NLP, LLMs, RAG, and Generative/Agentic AI .
- Solid grounding in machine learning algorithms, statistics, and predictive modeling (classification, regression, clustering, ensembles, etc.).
- Hands-on with NLP, LLMs, and RAG implementations .
- Experience across AWS, Azure, or GCP with their respective AI/ML ecosystems (SageMaker, Azure ML, Vertex AI).
- Strong SQL for data preparation, feature extraction, and analysis .
- Skilled in feature engineering, preprocessing, and working with large datasets .
- Familiarity with development best practices (Git, CI/CD, code reviews).
Data Science Manager
Posted 3 days ago
Job Viewed
Job Description
Hello,
Urgent job openings for Data Science Manager-(Gen AI/LLM) @ GlobalData(Hyd).
Job Description given below please go through to understand the requirement.
if requirement is matching to your profile & interested to apply please share your updated resume @ mail id ( ).
Mention Subject Line :-
Applying for Data Science Manager(Gen AI/LLM) @ GlobalData(Hyd)
Share your details in the mail :-
Full Name :
Mobile # :
Qualification :
Company Name :
Designation :
Total Work Experience Years :
Current CTC :
Expected CTC :
Notice Period :
Current Location :
If out-station willing to move to Hyd? :
Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana- .
Job Description :-
Data Science Manager - AI & GENERATIVE LANGUAGE MODELS
Position Overview
We are seeking an innovative AI & Generative Language Models Manager to lead our organization's initiatives in large language models (LLMs) and generative AI. This role will drive the development and implementation of cutting-edge AI solutions that transform our business operations and create competitive advantages. The ideal candidate will combine deep technical expertise in generative AI with strong leadership skills to build and direct a high-performing team.
Core Responsibilities
Strategic Leadership
- Develop and execute our organization's vision and strategy for generative AI and LLM applications
- Lead a team of AI engineers, researchers, and ML specialists focused on generative AI solutions
- Identify high-impact business opportunities where LLMs can deliver significant value
- Establish roadmaps for AI implementation hat align with broader organizational goals
- Stay at the forefront of rapidly evolving LLM technologies and industry developments
Technical Direction
- Oversee the design, development, and optimization of LLM-based applications
- Guide the selection, customization, and fine-tuning of language models for specific use cases
- Establish architecture and frameworks for integrating LLMs into existing products and services
- Implement best practices for prompt engineering, context handling, and model evaluation
- Ensure AI solutions balance performance, cost-efficiency, and ethical considerations
Team Management
- Build and mentor a talented team of AI specialists with expertise in generative models
- Create a collaborative environment that fosters innovation and knowledge sharing
- Set clear objectives and performance expectations for team members
- Recruit, develop, and retain top AI talent in a competitive market
- Promote continuous learning and professional growth within the team
Cross-Functional Collaboration
- Partner with business leaders to translate organizational needs into AI solutions
- Collaborate with product, engineering, and design teams to integrate AI capabilities
- Communicate complex AI concepts effectively to various stakeholders
- Work with legal and compliance teams to ensure responsible AI deployment
- Drive AI literacy and adoption across the organization
Experience
- 10+ years of experience in artificial intelligence or machine learning
- 5+ years of hands-on experience with LLMs and generative AI technologies
- 5+ years in leadership roles managing technical teams
- Proven track record of successfully implementing AI solutions in production environments
- Experience with LLM fine-tuning, prompt engineering, and AI application development
Technical Skills
- Deep understanding of LLM architectures, capabilities, and limitations
- Expertise in natural language processing and generative AI techniques
- Proficiency in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face)
- Experience with MLOps and AI deployment infrastructures
- Knowledge of responsible AI practices, including bias mitigation and ethical AI use
Education Qualification
- Master's degree or PhD in Computer Science, AI, Machine Learning, or related field
- Relevant certifications in AI, machine learning, or cloud technologies are a plus
Leadership & Professional Skills
- Strong strategic thinking and business acumen
- Excellent communication and stakeholder management abilities
- Team leadership and mentoring capabilities
- Problem-solving mindset and ability to drive innovation
- Project management skills and experience with agile methodologies
Thanks & Regards,
Salim
(Human Resources)
Data Science Specialist
Posted 1 day ago
Job Viewed
Job Description
Experience: 8–15 years (at least 5 years relevant in AI/ML)
Location: Hyderabad
Notice Period: Immediate joiners only
Work Mode: Hybrid (2 days in office)
Interview Process: L1 – Virtual | L2 – Client (mandatory face-to-face in Hyderabad). Only candidates open to F2F can be considered.
Role Requirements:
8+ years’ proven experience in AI/ML solution design and deployment .
Strong expertise in AI, ML, NLP, LLMs, RAG, and Generative/Agentic AI .
Solid grounding in machine learning algorithms, statistics, and predictive modeling (classification, regression, clustering, ensembles, etc.).
Hands-on with NLP, LLMs, and RAG implementations .
Experience across AWS, Azure, or GCP with their respective AI/ML ecosystems (SageMaker, Azure ML, Vertex AI).
Strong SQL for data preparation, feature extraction, and analysis .
Skilled in feature engineering, preprocessing, and working with large datasets .
Familiarity with development best practices (Git, CI/CD, code reviews).
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Data Science Manager
Posted today
Job Viewed
Job Description
Urgent job openings for Data Science Manager-(Gen AI/LLM) @ GlobalData(Hyd).
Job Description given below please go through to understand the requirement.
if requirement is matching to your profile & interested to apply please share your updated resume @ mail id ( ).
Mention Subject Line :-
Applying for Data Science Manager(Gen AI/LLM) @ GlobalData(Hyd)
Share your details in the mail :-
Full Name :
Mobile # :
Qualification :
Company Name :
Designation :
Total Work Experience Years :
Current CTC :
Expected CTC :
Notice Period :
Current Location :
If out-station willing to move to Hyd? :
Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana- .
Job Description :-
Data Science Manager - AI & GENERATIVE LANGUAGE MODELS
Position Overview
We are seeking an innovative AI & Generative Language Models Manager to lead our organization's initiatives in large language models (LLMs) and generative AI. This role will drive the development and implementation of cutting-edge AI solutions that transform our business operations and create competitive advantages. The ideal candidate will combine deep technical expertise in generative AI with strong leadership skills to build and direct a high-performing team.
Core Responsibilities
Strategic Leadership
Develop and execute our organization's vision and strategy for generative AI and LLM applications
Lead a team of AI engineers, researchers, and ML specialists focused on generative AI solutions
Identify high-impact business opportunities where LLMs can deliver significant value
Establish roadmaps for AI implementation hat align with broader organizational goals
Stay at the forefront of rapidly evolving LLM technologies and industry developments
Technical Direction
Oversee the design, development, and optimization of LLM-based applications
Guide the selection, customization, and fine-tuning of language models for specific use cases
Establish architecture and frameworks for integrating LLMs into existing products and services
Implement best practices for prompt engineering, context handling, and model evaluation
Ensure AI solutions balance performance, cost-efficiency, and ethical considerations
Team Management
Build and mentor a talented team of AI specialists with expertise in generative models
Create a collaborative environment that fosters innovation and knowledge sharing
Set clear objectives and performance expectations for team members
Recruit, develop, and retain top AI talent in a competitive market
Promote continuous learning and professional growth within the team
Cross-Functional Collaboration
Partner with business leaders to translate organizational needs into AI solutions
Collaborate with product, engineering, and design teams to integrate AI capabilities
Communicate complex AI concepts effectively to various stakeholders
Work with legal and compliance teams to ensure responsible AI deployment
Drive AI literacy and adoption across the organization
Experience
10+ years of experience in artificial intelligence or machine learning
5+ years of hands-on experience with LLMs and generative AI technologies
5+ years in leadership roles managing technical teams
Proven track record of successfully implementing AI solutions in production environments
Experience with LLM fine-tuning, prompt engineering, and AI application development
Technical Skills
Deep understanding of LLM architectures, capabilities, and limitations
Expertise in natural language processing and generative AI techniques
Proficiency in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face)
Experience with MLOps and AI deployment infrastructures
Knowledge of responsible AI practices, including bias mitigation and ethical AI use
Education Qualification
Master's degree or PhD in Computer Science, AI, Machine Learning, or related field
Relevant certifications in AI, machine learning, or cloud technologies are a plus
Leadership & Professional Skills
Strong strategic thinking and business acumen
Excellent communication and stakeholder management abilities
Team leadership and mentoring capabilities
Problem-solving mindset and ability to drive innovation
Project management skills and experience with agile methodologies
Thanks & Regards,
Salim
(Human Resources)