311 Predictive Modeling 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.
Mlops data science
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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.
Data Science Intern
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About the Company
ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.
About the Role
As a Data Scientist intern, you will work on cutting-edge projects involving financial data analysis, investment research, and risk modelling. You will have the opportunity to engage in multiple mini-projects or take up a focused innovation-based research project. The project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology. We provide problem statements, methodology and after you submit your solution to develop the solutions/ model, we also showcase to you sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given in our sample solution. You can opt for your own research based data science solution to develop/ model.
Responsibilities
- Conduct data cleaning, wrangling, and pre-processing for financial datasets.
- Assist investment teams in equity research, fixed income research, portfolio management, and economic analysis.
- Apply statistical techniques to financial problems such as credit risk modelling, probability of default, and value-at-risk estimation.
- Work with big data sources including financial reports, macroeconomic datasets, and alternative investment data.
- Use either one – Python, Excel or R to analyse, visualize, and model financial data.
- Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization.
Who Should Apply?
- Any student even without coding skills can upskill (self learning) to develop Data Science Solutions. Some basic knowledge of Excel or Python or R script can help complete the projects quicker. We permit the use of all LLMs/ NLPs to help students to develop the solutions.
- Strong problem-solving and analytical skills.
- Able to self-learn and work independently in a remote, flexible environment.
Internship Details
- Duration: Option of 1 month, 2 month, 3 month, 4 month or 6 months
- Timing: Self-paced.
- Type: Unpaid
Data Science Intern
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About the Company
ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.
About the Role
As a Data Scientist intern, you will work on cutting-edge projects involving financial data analysis, investment research, and risk modelling. You will have the opportunity to engage in multiple mini-projects or take up a focused innovation-based research project. The project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology. We provide problem statements, methodology and after you submit your solution to develop the solutions/ model, we also showcase to you sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given in our sample solution. You can opt for your own research based data science solution to develop/ model.
Responsibilities
- Conduct data cleaning, wrangling, and pre-processing for financial datasets.
- Assist investment teams in equity research, fixed income research, portfolio management, and economic analysis.
- Apply statistical techniques to financial problems such as credit risk modelling, probability of default, and value-at-risk estimation.
- Work with big data sources including financial reports, macroeconomic datasets, and alternative investment data.
- Use either one – Python, Excel or R to analyse, visualize, and model financial data.
- Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization.
Who Should Apply?
- Any student even without coding skills can upskill (self learning) to develop Data Science Solutions. Some basic knowledge of Excel or Python or R script can help complete the projects quicker. We permit the use of all LLMs/ NLPs to help students to develop the solutions.
- Strong problem-solving and analytical skills.
- Able to self-learn and work independently in a remote, flexible environment.
Internship Details
- Duration: Option of 1 month, 2 month, 3 month, 4 month or 6 months
- Timing: Self-paced.
- Type: Unpaid
Data Science Intern
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NLP Data Science Intern
Did you notice a shortage of food at supermarkets during covid? Have you heard about the recent issues in the global shipping industry? or perhaps you’ve heard about the shortages of microchips? These problems are called supply chain disruptions. They have been increasing in frequency and severity. Supply chain disruptions are threatening our very way of life.
Our vision is to advance society’s capacity to withstand shocks and stresses. Kavida.ai believes the only way to ensure security is through supply chain resiliency. We are on a mission to help companies proactively manage disruption supply chain disruption risks using integrated data.
Our Story
In March 2020 over 35 academics, data scientists, students, and software engineering volunteers came together to address the food shortage issues caused by the pandemic - Covid19foodsupply.com. A core team of 9 was formed and spun off into a startup and the rest is history.
Our investors include one of the world's largest supply chain quality & compliance monitoring companies, a £1.25bn apparel manufacturer, and some very impressive angel investors.
Social Impact:
Social impact is in our DNA. We believe private sector innovation is the only way to address social problems at scale. If we achieve our mission, humanity will always have access to its essential goods for sustenance. No more shortages of food, PPE, medicine, etc.
Our Culture :
Idea Meritocracy:
The best ideas win. We only care about what is right, not who is right. We know arriving at the best answer requires constructive tension. Sometimes it can get heated but it's never personal. Everyone contributes to better ideas knowing they will be heard but also challenged.
Drivers Not Passengers:
We think as owners who drive the bus, not as passengers. We are self-starters and never wait for instructions. We are hungry for autonomy, trust, and responsibility. Everyone is a leader because we know leadership is a trait, not a title. Leaders drive growth and navigate the chaos.
We Figure Out The Answers:
We trust our ability to figure stuff out. We do not need all the information to start answering the question. We can connect the dots and answer difficult questions with logic.
Customer & Mission Obsessed:
Our customers are our heroes and we are obsessed with helping them. We are obsessed with; understanding their supply chains better, resolving their biggest headaches, and advancing their competitiveness.
Learning and growth
We all take personal responsibility for becoming smarter, wiser, more skilled, happier. We are obsessed with learning about our industry and improving our own skills. We are obsessed with our personal growth; to become more.
Job Description:
As a member of our Research team, you will be responsible for researching, developing, and coding Agents using state-of-the-art LLM's with automated pipelines.
- Write code for the development of our ML engines and micro-services pipelines.
- use, optimize, train, and evaluate state-of-the-art GPT models.
- research and Develop Agentic pipelines using LLM's.
- research and develop RAG based pipeline using vector DB's .
Essential Requirements:
- prompt engineering and Agentic LLm frameworks like langchain/llama index
- good enough undersanding of vectors/tensors and RAG pipelines
- Knowledge of building NLP systems using transfer learning or building custom NLP systems from scratch using TensorFlow or PyTorch.
- In-depth knowledge of DSA, async, python, and containers.
- Knowledge of transformers and NLP techniques is essential, and deployment experience is a significant advantage.
Salary Range: ₹15000 - ₹25000
We are offering a full-time internship position to final-year students. The internship will last for an initial period of 6-12 months before converting to a full-time job, depending on suitability for both parties. If the applicant is a student who needs to return to university, they can continue with the program on a part-time basis.
MLOPS Data Science
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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, NumPy, Scikit-learn, PyTorch/TensorFlow).
- Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow, SageMaker, 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 Specialist
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We're Hiring for Data Science Instructors (100% Teaching Role) (Night Shift Only)
for Full Time & Permanent Remote opportunity!
Vacancy - 5
Minimum 4 years (Full Time) of experience in Teaching/Non Teaching in Data Science is a MUST
Budget - 50-75k Per Month (Gross) (Fixed) + Incentives As per Class Performance
SkillArbitrage is looking for passionate educators to empower aspiring data professionals
What we’re looking for: #Python, #Excel, #SQL, #Tableau, #PowerBI, #ML, and #datavisualization
Substantial Experience in IT (Non Teaching Domain)
Ability to simplify complex concepts with clarity
Strong judgment, creativity, and content development skills
Strong proficiency in English communication
Responsibilities :
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
You can also directly reach me on (WhatsApp only)