304 Predictive Modeling jobs in Hyderabad
Manager, Data Science and Machine Learning
Posted today
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Job Description
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
Job Viewed
Job Description
Be a part of India’s largest and most admired news network!
Network18 is India's most diversified Media Company in the fast growing Media market. The Company has a strong Heritage and we possess a strong presence in Magazines, Television and Internet domains. Our brands like CNBC, Forbes and Moneycontrol are market leaders in their respective segments. The Company has over 7,000 employees across all major cities in India and has been consistently managed to stay ahead of the growth curve of the industry.
Network 18 brings together employees from varied backgrounds under one roof united by the hunger to create immersive content and ideas. We take pride in our people, who we believe are the key to realizing the organization’s potential. We continually strive to enable our employees to realize their own goals, by providing opportunities to learn, share and grow.
Role Overview:
We are seeking a passionate and skilled Data Scientist with over a year of experience to join our dynamic team. You will be instrumental in developing and deploying machine learning models, building robust data pipelines, and translating complex data into actionable insights. This role offers the opportunity to work on cutting-edge projects involving NLP, Generative AI, data automation, and cloud technologies to drive business value.
Key Responsibilities:
- Design, develop, and deploy machine learning models, with a strong focus on NLP (including advanced techniques and Generative AI) and other AI applications.
- Build, maintain, and optimize ETL pipelines for automated data ingestion, transformation, and standardization from various sources
- Work extensively with SQL for data extraction, manipulation, and analysis in environments like BigQuery.
- Develop solutions using Python and relevant data science/ML libraries (Pandas, NumPy, Hugging Face Transformers, etc.).
- Utilize Google Cloud Platform (GCP) services for data storage, processing, and model deployment.
- Create and maintain interactive dashboards and reporting tools (e.g., Power BI) to present insights to stakeholders.
- Apply basic Docker concepts for containerization and deployment of applications.
- Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
- Stay abreast of the latest advancements in AI/ML and NLP best practices.
Required Qualifications & Skills:
- 1 to 4 years of hands-on experience as a Data Scientist or in a similar role.
- Solid understanding of machine learning fundamentals, algorithms, and best practices.
- Proficiency in Python and relevant data science libraries.
- Good SQL skills for complex querying and data manipulation.
- Demonstrable experience with Natural Language Processing (NLP) techniques, including advanced models (e.g., transformers) and familiarity with Generative AI concepts and applications.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
Preferred Qualifications & Skills:
- Familiarity and hands-on experience with Google Cloud Platform (GCP) services, especially BigQuery, Cloud Functions, and Vertex AI.
- Basic understanding of Docker and containerization for deploying applications.
- Experience with dashboarding tools like Power BI and building web applications with Streamlit.
- Experience with web scraping tools and techniques (e.g., BeautifulSoup, Scrapy, Selenium).
- Knowledge of data warehousing concepts and schema design.
- Experience in designing and building ETL pipelines.
Disclaimer: Please note Network18 and related group companies do not use the services of vendors or agents for recruitment. Please beware of such agents or vendors providing assistance. Network18 will not be responsible for any losses incurred.
“We correspond only from our official email address”
Data Science
Posted today
Job Viewed
Job Description
• .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
Job Viewed
Job Description
Be a part of India’s largest and most admired news network!
Network18 is India's most diversified Media Company in the fast growing Media market. The Company has a strong Heritage and we possess a strong presence in Magazines, Television and Internet domains. Our brands like CNBC, Forbes and Moneycontrol are market leaders in their respective segments. The Company has over 7,000 employees across all major cities in India and has been consistently managed to stay ahead of the growth curve of the industry.
Network 18 brings together employees from varied backgrounds under one roof united by the hunger to create immersive content and ideas. We take pride in our people, who we believe are the key to realizing the organization’s potential. We continually strive to enable our employees to realize their own goals, by providing opportunities to learn, share and grow.
Role Overview:
We are seeking a passionate and skilled Data Scientist with over a year of experience to join our dynamic team. You will be instrumental in developing and deploying machine learning models, building robust data pipelines, and translating complex data into actionable insights. This role offers the opportunity to work on cutting-edge projects involving NLP, Generative AI, data automation, and cloud technologies to drive business value.
Key Responsibilities:
- Design, develop, and deploy machine learning models, with a strong focus on NLP (including advanced techniques and Generative AI) and other AI applications.
- Build, maintain, and optimize ETL pipelines for automated data ingestion, transformation, and standardization from various sources
- Work extensively with SQL for data extraction, manipulation, and analysis in environments like BigQuery.
- Develop solutions using Python and relevant data science/ML libraries (Pandas, NumPy, Hugging Face Transformers, etc.).
- Utilize Google Cloud Platform (GCP) services for data storage, processing, and model deployment.
- Create and maintain interactive dashboards and reporting tools (e.g., Power BI) to present insights to stakeholders.
- Apply basic Docker concepts for containerization and deployment of applications.
- Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
- Stay abreast of the latest advancements in AI/ML and NLP best practices.
Required Qualifications & Skills:
- 1 to 4 years of hands-on experience as a Data Scientist or in a similar role.
- Solid understanding of machine learning fundamentals, algorithms, and best practices.
- Proficiency in Python and relevant data science libraries.
- Good SQL skills for complex querying and data manipulation.
- Demonstrable experience with Natural Language Processing (NLP) techniques, including advanced models (e.g., transformers) and familiarity with Generative AI concepts and applications.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
Preferred Qualifications & Skills:
- Familiarity and hands-on experience with Google Cloud Platform (GCP) services, especially BigQuery, Cloud Functions, and Vertex AI.
- Basic understanding of Docker and containerization for deploying applications.
- Experience with dashboarding tools like Power BI and building web applications with Streamlit.
- Experience with web scraping tools and techniques (e.g., BeautifulSoup, Scrapy, Selenium).
- Knowledge of data warehousing concepts and schema design.
- Experience in designing and building ETL pipelines.
Disclaimer: Please note Network18 and related group companies do not use the services of vendors or agents for recruitment. Please beware of such agents or vendors providing assistance. Network18 will not be responsible for any losses incurred.
“We correspond only from our official email address”
Data Science
Posted today
Job Viewed
Job Description
Be a part of India’s largest and most admired news network!
Network18 is India's most diversified Media Company in the fast growing Media market. The Company has a strong Heritage and we possess a strong presence in Magazines, Television and Internet domains. Our brands like CNBC, Forbes and Moneycontrol are market leaders in their respective segments. The Company has over 7,000 employees across all major cities in India and has been consistently managed to stay ahead of the growth curve of the industry.
Network 18 brings together employees from varied backgrounds under one roof united by the hunger to create immersive content and ideas. We take pride in our people, who we believe are the key to realizing the organization’s potential. We continually strive to enable our employees to realize their own goals, by providing opportunities to learn, share and grow.
Role Overview:
We are seeking a passionate and skilled Data Scientist with over a year of experience to join our dynamic team. You will be instrumental in developing and deploying machine learning models, building robust data pipelines, and translating complex data into actionable insights. This role offers the opportunity to work on cutting-edge projects involving NLP, Generative AI, data automation, and cloud technologies to drive business value.
Key Responsibilities:
- Design, develop, and deploy machine learning models, with a strong focus on NLP (including advanced techniques and Generative AI) and other AI applications.
- Build, maintain, and optimize ETL pipelines for automated data ingestion, transformation, and standardization from various sources
- Work extensively with SQL for data extraction, manipulation, and analysis in environments like BigQuery.
- Develop solutions using Python and relevant data science/ML libraries (Pandas, NumPy, Hugging Face Transformers, etc.).
- Utilize Google Cloud Platform (GCP) services for data storage, processing, and model deployment.
- Create and maintain interactive dashboards and reporting tools (e.g., Power BI) to present insights to stakeholders.
- Apply basic Docker concepts for containerization and deployment of applications.
- Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
- Stay abreast of the latest advancements in AI/ML and NLP best practices.
Required Qualifications & Skills:
- 1 to 4 years of hands-on experience as a Data Scientist or in a similar role.
- Solid understanding of machine learning fundamentals, algorithms, and best practices.
- Proficiency in Python and relevant data science libraries.
- Good SQL skills for complex querying and data manipulation.
- Demonstrable experience with Natural Language Processing (NLP) techniques, including advanced models (e.g., transformers) and familiarity with Generative AI concepts and applications.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
Preferred Qualifications & Skills:
- Familiarity and hands-on experience with Google Cloud Platform (GCP) services, especially BigQuery, Cloud Functions, and Vertex AI.
- Basic understanding of Docker and containerization for deploying applications.
- Experience with dashboarding tools like Power BI and building web applications with Streamlit.
- Experience with web scraping tools and techniques (e.g., BeautifulSoup, Scrapy, Selenium).
- Knowledge of data warehousing concepts and schema design.
- Experience in designing and building ETL pipelines.
Disclaimer: Please note Network18 and related group companies do not use the services of vendors or agents for recruitment. Please beware of such agents or vendors providing assistance. Network18 will not be responsible for any losses incurred.
“We correspond only from our official email address”
Instructor- Data Science & Machine Learning | Working Professional
Posted today
Job Viewed
Job Description
Designation- Instructor- Data Science/Machine Learning
BU- Working Professional
Location- Work from Home
Salary Range- 10LPA- 12LPA
Work schedule:
Live Session- Monday to Friday- 2hrs/per day in the evening, 7:30 pm-9:30 pm
Live Session- Saturday & Sunday- 10hrs/per day from 10:00 am- 10:00 pm
Key Responsibilities:
- Live Instruction: Teach core DS/ML topics (supervised & unsupervised learning, deep learning, model evaluation, MLOps) through interactive sessions.
- Curriculum Collaboration: Work with content teams to design labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based DS/ML services.
- Learner Support: Field technical questions, debug code, review notebooks, and provide actionable feedback on assignments and projects.
- Project Mentorship: Guide capstone work—e.g., image/video models, NLP pipelines, recommendation systems, and deployment pipelines.
- Continuous Improvement: Analyze learner performance data to refine modules, introduce emerging topics (e.g., transformers, generative models), and enhance assessments.
Requirements:
- 3+ years of industry or academic experience in DS/ML or AI.
- Minimum Master’s degree in DS or ML &AI or CS specialization in AI & DS/ML
- Proficiency in Python and ML frameworks (scikit-learn, TensorFlow or PyTorch).
- Familiarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud ML services (AWS SageMaker, GCP AI Platform, or Azure ML).
- Excellent presentation and mentoring skills in live and small-group settings.
- Prior teaching or edtech experience is a strong plus.
Instructor- Data Science/ Machine Learning (Working Professional)
Posted today
Job Viewed
Job Description
BU: Working Professional
Job Title: Asst Manager- DS/ML Location: WFH
Experience Required: 3-8 years
Work schedule: Live Session- Monday to Friday2hrs/per day in the evening, 7:30 pm-9:30 pm Live Session- Saturday & Sunday- 10hrs/per day from 10:00 am- 10:00 pm Key Responsibilities:
Live Instruction: Teach core DS/ML topics (supervised & unsupervised learning, deep learning, model evaluation, MLOps) through interactive sessions.
Curriculum Collaboration: Work with content teams to design labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based DS/ML services.
rner Support: Field technical questions, debug code, review notebooks, and provide actionable feedback on assignments and projects. >
ject Mentorship: Guide capstone work—e.g., image/video models, NLP pipelines, recommendation systems, and deployment pipelines. Co nuous Improvement: Analyze learner performance data to refine modules, introduce emerging topics (e.g., transformers, generative models), and enhance assessments. >
Requirements:
years of industry or academic experience in DS/ML or AI. >
imum Master’s degree in DS or ML &AI or CS specialization in AI & DS/ML Pr ciency in Python and ML frameworks (scikit-learn, TensorFlow or PyTorch). >
iliarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud ML services (AWS SageMaker, GCP AI Platform, or Azure ML). >
ellent presentation and mentoring skills in live and small-group settings. >
or teaching or edtech experience is a strong plus. >
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Instructor- Data Science/ Machine Learning (Working Professional)
Posted 9 days ago
Job Viewed
Job Description
BU: Working Professional
Job Title: Asst Manager- DS/ML Location: WFH
Experience Required: 3-8 years
Work schedule: Live Session- Monday to Friday2hrs/per day in the evening, 7:30 pm-9:30 pm Live Session- Saturday & Sunday- 10hrs/per day from 10:00 am- 10:00 pm Key Responsibilities:
Live Instruction: Teach core DS/ML topics (supervised & unsupervised learning, deep learning, model evaluation, MLOps) through interactive sessions.
Curriculum Collaboration: Work with content teams to design labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based DS/ML services.
Learner Support: Field technical questions, debug code, review notebooks, and provide actionable feedback on assignments and projects. /p>
Project Mentorship: Guide capstone work—e.g., image/video models, NLP pipelines, recommendation systems, and deployment pipelines. >
Continuous Improvement: Analyze learner performance data to refine modules, introduce emerging topics (e.g., transformers, generative models), and enhance assessments. /p>
Requirements:
3+ years of industry or academic experience in DS/ML or AI. /p>
Minimum Master’s degree in DS or ML &AI or CS specialization in AI & DS/ML >
Proficiency in Python and ML frameworks (scikit-learn, TensorFlow or PyTorch). /p>
Familiarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud ML services (AWS SageMaker, GCP AI Platform, or Azure ML). /p>
Excellent presentation and mentoring skills in live and small-group settings. /p>
Prior teaching or edtech experience is a strong plus. /p>
Instructor- Data Science/ Machine Learning (Working Professional)
Posted 9 days ago
Job Viewed
Job Description
BU: Working Professional
Job Title: Asst Manager- DS/ML Location: WFH
Experience Required: 3-8 years
Work schedule: Live Session- Monday to Friday2hrs/per day in the evening, 7:30 pm-9:30 pm Live Session- Saturday & Sunday- 10hrs/per day from 10:00 am- 10:00 pm Key Responsibilities:
Live Instruction: Teach core DS/ML topics (supervised & unsupervised learning, deep learning, model evaluation, MLOps) through interactive sessions.
Curriculum Collaboration: Work with content teams to design labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based DS/ML services.
Learner Support: Field technical questions, debug code, review notebooks, and provide actionable feedback on assignments and projects. /p>
Project Mentorship: Guide capstone work—e.g., image/video models, NLP pipelines, recommendation systems, and deployment pipelines. >
Continuous Improvement: Analyze learner performance data to refine modules, introduce emerging topics (e.g., transformers, generative models), and enhance assessments. /p>
Requirements:
3+ years of industry or academic experience in DS/ML or AI. /p>
Minimum Master’s degree in DS or ML &AI or CS specialization in AI & DS/ML >
Proficiency in Python and ML frameworks (scikit-learn, TensorFlow or PyTorch). /p>
Familiarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud ML services (AWS SageMaker, GCP AI Platform, or Azure ML). /p>
Excellent presentation and mentoring skills in live and small-group settings. /p>
Prior teaching or edtech experience is a strong plus. /p>
Instructor- Data Science & Machine Learning | Working Professional
Posted 10 days ago
Job Viewed
Job Description
Designation- Instructor- Data Science/Machine Learning
BU- Working Professional
Location- Work from Home
Salary Range- 10LPA- 12LPA
Work schedule:
Live Session- Monday to Friday- 2hrs/per day in the evening, 7:30 pm-9:30 pm
Live Session- Saturday & Sunday- 10hrs/per day from 10:00 am- 10:00 pm
Key Responsibilities:
- Live Instruction: Teach core DS/ML topics (supervised & unsupervised learning, deep learning, model evaluation, MLOps) through interactive sessions.
- Curriculum Collaboration: Work with content teams to design labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based DS/ML services.
- Learner Support: Field technical questions, debug code, review notebooks, and provide actionable feedback on assignments and projects.
- Project Mentorship: Guide capstone work—e.g., image/video models, NLP pipelines, recommendation systems, and deployment pipelines.
- Continuous Improvement: Analyze learner performance data to refine modules, introduce emerging topics (e.g., transformers, generative models), and enhance assessments.
Requirements:
- 3+ years of industry or academic experience in DS/ML or AI.
- Minimum Master’s degree in DS or ML &AI or CS specialization in AI & DS/ML
- Proficiency in Python and ML frameworks (scikit-learn, TensorFlow or PyTorch).
- Familiarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud ML services (AWS SageMaker, GCP AI Platform, or Azure ML).
- Excellent presentation and mentoring skills in live and small-group settings.
- Prior teaching or edtech experience is a strong plus.