Data Scientist at Cred | Hyderabad

About CrunchyrollFounded by enthusiasts, Crunchyroll brings the vibrant art and culture of anime to a dedicated community. We cater to over 100 million anime and manga fans spanning more than 200 countries and territories, connecting them to the stories and characters they cherish. Whether through streaming video, theatrical releases, games, merchandise, or events, our platform is powered by the beloved anime content we all enjoy.Become a part of our team and help us define the future of anime!About the RoleWe are seeking a Manager of Machine Learning and Data Science in the Hyderabad area to lead and expand a team utilizing advanced Data Science and Machine Learning techniques for our global digital entertainment platform. Our ecosystem includes paid VOD streaming, online Manga reading, Merchandising, Gaming, and Music Video experiences, all centered around enhancing user engagement and premium content consumption within the anime community.In this position, you will oversee a team of Machine Learning Engineers and Data Scientists who are dedicated to analyzing content, user behavior, and product engagement. You will transform these insights into actionable business strategies and product features that provide personalized user experiences. Collaborating closely with the Director of Data Science & Machine Learning (DSML), you will scale both the team and the technical capabilities necessary to support our expanding multi-product platform.This role is perfect for a leader who possesses a blend of strong technical acumen and people management skills, guiding teams from exploratory analysis to the deployment of production-ready ML systems that directly enhance customer experience and drive business success.Core Areas of ResponsibilityLead, mentor, and develop a team of Machine Learning Engineers and Data Scientists, fostering a culture of technical excellence and accountability.Drive the delivery of ML and analytics initiatives aimed at improving content discovery, personalization, user engagement, and cross-platform experiences.Provide technical guidance on modeling approaches, experimentation, and production readiness to ensure scalable and dependable solutions.Translate business objectives into clear ML roadmaps in partnership with Product, Engineering, and business stakeholders.Ensure that insights and model outputs are communicated effectively to inform strategic and operational decisions.Establish and standardize best practices across experimental methodologies.

Opportunity Overview As the Manager of Machine Learning & Data Science at Cohere Health, you will be pivotal in enhancing and expanding our AI capabilities in India. You will lead a dynamic team of machine learning engineers and data scientists dedicated to the development and implementation of models that streamline and enhance complex clinical and administrative workflows. This team oversees the entire lifecycle of applied machine learning and data science—from identifying problems and conducting experiments to deploying models in production and optimizing performance. You will work with both structured and unstructured healthcare data to extract insights and fuel intelligent systems that enhance prior authorization processes and broader clinical decision-making. As a player-coach, you will blend hands-on technical contributions with leadership, establishing best practices, mentoring team members, and driving impactful solutions in collaboration with Product, Engineering, Clinical, and Analytics stakeholders. This role offers a unique opportunity to influence both the technical trajectory and team culture within a rapidly growing global organization. Key Responsibilities: Lead, mentor, and cultivate a high-performance team of machine learning engineers and data scientists, fostering a collaborative environment. Actively contribute across the machine learning and data science lifecycle, including data exploration, feature engineering, model development, evaluation, and deployment. Design, develop, and implement machine learning models for retrieval, classification, and generative tasks across both structured and unstructured data. Convert complex business and clinical challenges into scalable machine learning and data science solutions. Establish and maintain best practices for experimentation, model validation, performance monitoring, and reproducibility. Collaborate cross-functionally with Product, Engineering, Clinical, and Analytics teams to ensure alignment of solutions with business objectives. Guide the creation of scalable data science and machine learning systems, including data preprocessing pipelines and production workflows. Monitor model performance, identify opportunities for enhancement, and spearhead continuous iteration and optimization. Effectively communicate technical concepts, methodologies, and insights to both technical and non-technical audiences. Contribute to the recruitment, onboarding, and coaching of team members in India.

About CrunchyrollFounded by passionate fans, Crunchyroll is dedicated to bringing the art and culture of anime to a vibrant community. We cater to over 100 million anime and manga enthusiasts across more than 200 countries and territories, connecting them with the stories and characters they love. Our offerings include online streaming, theatrical releases, games, merchandise, events, and more, all fueled by the anime content that resonates with fans worldwide.Join our dynamic team and play a pivotal role in shaping the future of anime!About the RoleAs Crunchyroll expands and evolves, we face unique challenges and opportunities to enhance the experience of millions of anime fans globally. The AI/ML team is pivotal in providing support to our internal stakeholders, ensuring a top-notch experience for all Crunchyroll users.Lead and mentor a skilled team of data scientists in developing and deploying cutting-edge ML solutions, including Graph Neural Networks (GNNs), Large Language Model (LLM) applications, and fraud detection systems.Define and execute the roadmap for AI/ML initiatives across Crunchyroll’s product and platform ecosystem.Collaborate closely with data engineering, software engineering, and DevOps teams to establish robust ML pipelines and infrastructure.Set best practices for experimentation, model evaluation, A/B testing, and continuous learning in production environments.Engage with stakeholders across business, marketing, security, and content teams to identify and transform AI opportunities into actionable projects.Ensure responsible AI/ML development by prioritizing model interpretability, performance, and fairness.Manage operational metrics concerning model impact, latency, cost, and system scalability.Foster a collaborative team culture centered on innovation, curiosity, and continuous learning.About YouWe are excited about candidates like you because...You hold a Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or a related quantitative field.You have 5+ years of industry experience in data science or applied machine learning, including 2+ years in a leadership role.You possess a proven track record of delivering production ML systems that address real-world business challenges.You have deep expertise in ML/AI frameworks (e.g., PyTorch, TensorFlow, HuggingFace) and experience with applied NLP, GNNs, GraphRAG, and embeddings.You are familiar with building systems that utilize Graph Databases, Vector Stores (e.g., FAISS, Pinecone), and cloud-native ML stacks (SageMaker, Databricks, etc.).

Opportunity Overview: Join CohereHealth as a Technical, Hands-on Data Science Manager and spearhead a talented team dedicated to crafting AI-driven healthcare enterprise applications. In this pivotal role, you'll leverage exceptional leadership skills along with profound technical knowledge to oversee the creation of scalable, data-intensive solutions that deliver significant business outcomes. As an engaged leader, you will mentor and manage data scientists and analysts, guiding the team in assessing, selecting, and implementing effective models while ensuring a robust understanding of the end-to-end workflow for the seamless delivery of scalable AI solutions. This role demands outstanding communication and collaboration abilities, as you will work closely with internal stakeholders and cross-functional engineering, product, and clinical teams. In our dynamic environment, your adaptability will be crucial—your capacity to quickly reprioritize and steer your team through shifting business needs will maximize impact. What You’ll Do: Lead, mentor, and cultivate a high-performing team of Data Scientists and ML Engineers, ensuring effective execution and continuous skill enhancement. Engage in event-driven architecture design and implementation, facilitating asynchronous processing and large-scale system integration. Collaborate across functions—partnering with Data Scientists on model tuning, experimentation, and prompt design; working alongside Product and Software Engineering to integrate AI/ML into user-facing applications; coordinating with DevOps/Platform Engineering on environment setup, CI/CD, monitoring, and reliability; and working with Data Engineering on pipeline design and ingestion strategies. Provide technical leadership in the proficient use of AWS services including Lambda, EC2, EMR, S3, Athena, Batch, Textract, Comprehend, and Bedrock. Drive project scope definition, effort estimation, and planning in close alignment with cross-functional teams. Conduct code reviews, offer architectural guidance, and advocate for SDLC best practices, while balancing leadership duties with hands-on technical contributions to ensure timely, high-quality delivery.

Join Prefr, a pioneering fintech brand under Dreamplug Technologies Pvt. Ltd., as a Machine Learning Engineer. Our innovative tech-driven platform is transforming the credit landscape for India's digital-first generation. We facilitate instant personal loans ranging from ₹50,000 to ₹5,00,000 through a seamless digital journey, catering to the creditworthy yet underserved segments of our society. In partnership with RBI-approved financial institutions, our mission is to establish the largest platform for delivering fast, transparent, and trustworthy credit solutions, leveraging AI-driven intelligence and multi-lender access.

About CrunchyrollFounded by passionate fans, Crunchyroll is dedicated to delivering the rich art and culture of anime to a vibrant community. We proudly serve over 100 million anime and manga enthusiasts across more than 200 countries and territories, enabling them to connect deeply with the stories and characters they love. Our offerings span online streaming, theatrical releases, gaming, merchandise, events, and more, all fueled by the captivating anime content that unites us.Join our innovative team and be part of shaping the future of anime!About the RoleWe are on the lookout for an experienced Senior Machine Learning Engineer based in Hyderabad to architect, develop, and scale advanced machine learning systems that drive personalized and data-rich experiences throughout our digital entertainment ecosystem — encompassing paid video-on-demand streaming, Manga reading, merchandising, mobile gaming, and music video platforms. You will report directly to the Manager of Machine Learning.Your work will bridge user behavior insights, content intelligence, and product engagement, creating models and systems that elevate user experiences (such as personalization, discovery, and lifecycle optimization) while generating valuable business insights for our internal stakeholders. As a senior individual contributor, you will spearhead high-impact initiatives from start to finish and significantly influence the technical direction of our ML systems across various products.Core ResponsibilitiesDesign and implement scalable machine learning models that enhance personalization, discovery, engagement, and monetization across diverse product lines.Lead comprehensive ML projects from initial problem definition and data analysis to production deployment and monitoring.Build and refine robust data pipelines and feature engineering workflows for extensive behavioral and content datasets.Establish and execute rigorous experimentation frameworks (e.g., A/B testing, offline evaluations) to assess model performance and impact.Collaborate closely with Product, Engineering, Analytics, and business teams to translate product objectives into effective ML solutions.Enhance the reliability, scalability, and performance of production ML services.Mentor junior engineers and contribute to elevating the team's technical standards and practices.Participate in the evolution of ML architecture, tools, and MLOps practices throughout the organization.About YouRequired Qualifications8+ years of experience in machine learning, data analysis, or a related field.

About CrunchyrollFounded by passionate fans, Crunchyroll is dedicated to delivering the vibrant art and culture of anime to an enthusiastic community. Serving over 100 million anime and manga fans across more than 200 countries and territories, we connect them with the stories and characters they cherish. Our offerings include streaming services, theatrical experiences, games, merchandise, events, and more, all fueled by the anime content that we all adore.Join us in shaping the future of anime!About the RoleAs Crunchyroll continues to expand and evolve, we face unique challenges and opportunities to support millions of anime fans globally. Our AI/ML team plays a crucial role in providing seamless assistance to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll enthusiasts.Design and implement comprehensive LLM-based applications such as chatbots, virtual assistants, search agents, and knowledge discovery tools.Create and deploy scalable RAG and GraphRAG pipelines utilizing vector databases (e.g., Opensearch, Pinecone, Mongo) along with document chunking strategies.Optimize and fine-tune foundation models (e.g., Bedrock, Claude, Nova) for specialized domain applications.Manage prompt design and evaluation, developing prompt libraries and frameworks to facilitate rapid experimentation and reuse.Develop APIs and microservices to support LLM-based applications with real-time performance and uptime assurances.Collaborate closely with data, platform, and backend teams to integrate LLM functionalities into broader Crunchyroll product experiences.Continuously monitor and assess LLM systems in production for issues related to hallucination, latency, cost, and feedback loops.Stay abreast of the latest advancements in LLM research, tooling (LangChain, LlamaIndex), and ecosystem developments.

Join Our Team as a Machine Learning Engineer: Are you passionate about harnessing the power of artificial intelligence to solve real-world problems? At egen, we are seeking a talented Machine Learning Engineer to design and implement cutting-edge AI applications. Bring your expertise in software engineering and machine learning to create scalable solutions that deliver value to our clients. Key Responsibilities:Leverage a minimum of 5 years of experience to architect and deploy AI solutions that are secure, scalable, and high-performing.Utilize your knowledge of Document Extraction, Conversational AI, Vision AI, NLP, or Generative AI in your projects.Enhance and operationalize existing ML models through fine-tuning and personalization.Evaluate and optimize machine learning models to ensure peak performance.Craft effective prompts for Large Language Models (LLMs) to elicit relevant and accurate outputs.Collaborate with data scientists and engineers to preprocess datasets, including tasks such as data cleaning, transformation, and augmentation.Conduct comprehensive analyses to assess LLM responses and iteratively refine prompts for improved outcomes.Engage in hands-on customer interactions with Retrieval-Augmented Generation (RAG) solutions and LLM model fine-tuning.Build and deploy robust machine learning pipelines on Google Cloud Platform (GCP) or equivalent cloud services, integrating data warehouses, ML platforms, dashboards, and CRM tools.Manage all phases of machine learning projects including data cleaning, exploratory data analysis, outlier management, and data distribution analysis.

About AizenAt Aizen, our mission is to simplify AI and amplify its capabilities. We offer a comprehensive platform that optimizes the entire AI workflow—from data ingestion and orchestration to model training, deployment, and monitoring—empowering businesses to focus on what truly matters: innovating and scaling exceptional AI solutions without the complexities.Frustrated by cumbersome AI processes and fragmented solutions, we founded Aizen to revolutionize AI adoption. Today, businesses of all sizes—from budding startups to Fortune 500 giants—rely on us to seamlessly manage their AI pipelines and scale with ease. By redefining the development, deployment, and management of AI, we're making it more accessible and impactful than ever. If you have a passion for technology, enjoy solving real-world challenges, and want to collaborate with a top-notch engineering team, we would be thrilled to connect with you.About the TeamFounded by a group of visionary entrepreneurs with extensive backgrounds in data storage, distributed systems, and real-time AI architecture, Aizen's team has a proven track record in building and scaling successful tech companies, with some achieving $1B+ exits. Our collective expertise has shaped Aizen into a platform designed to simplify the AI pipeline, enhance performance, and make AI truly accessible for enterprises of all sizes.About the RoleAs a Machine Learning Engineer at Aizen, you will play a crucial role in building and refining the AI pipelines that power our end-to-end platform. You will engage with the complete stack—from data ingestion and model training to real-time inference and monitoring—ensuring efficient AI deployment at scale. Whether you are an entry-level engineer eager to learn or a seasoned professional ready to spearhead impactful projects, this position presents an exciting opportunity to tackle complex ML challenges, enhance automation, and influence the future of AI infrastructure.Core ResponsibilitiesAI Pipeline Development – Design, implement, and optimize comprehensive AI pipelines for data ingestion, training, deployment, and real-time inference, ensuring smooth integration with MLOps and infrastructure systems.Model Training & Deployment – Execute training and fine-tuning workflows for ML models, maximizing efficiency, scalability, and reproducibility across cloud, on-premises, and edge environments.Backend & API Development – Create and integrate scalable backend services and APIs for model inference...

Join Egnify Technologies as a Lead Data Scientist and spearhead innovative data-driven projects that shape our business strategies. In this pivotal role, you will leverage your expertise in machine learning, statistical modeling, and data analysis to derive actionable insights that drive growth and efficiency.As a leader in our data science team, you will mentor junior data scientists, collaborate with cross-functional teams, and ensure the successful implementation of data solutions. Your contributions will directly impact decision-making processes and enhance our product offerings.

About Demandbase:Demandbase stands as the sole pipeline AI platform tailored for GTM teams seeking to automate expansive growth. By offering a consolidated perspective of data, insights, actions, and outcomes, B2B enterprises can confidently synchronize and execute their account-based GTM strategies. Our platform is trusted by thousands of businesses aiming to enhance revenue, reduce waste, and streamline their data and technology stacks.We are deeply committed to nurturing careers while also developing cutting-edge technology. Our investment in our people, culture, and community is paramount. Demandbase has consistently been acknowledged as one of the Best Places to Work in the San Francisco Bay Area by Fortune, and one of the 60 Best Companies to Sell For by Selling Power. We have offices in San Francisco, New York, Austin, Seattle, India, and the United Kingdom.Role OverviewWe are in search of a Senior Staff Machine Learning Engineer to elevate the standards of AI system design and ML engineering within our B2B SaaS platform. This senior individual contributor role is centered on developing production-grade AI systems where factors like ambiguity, contextual constraints, scalability, and operational correctness are paramount. You will spearhead intricate, cross-team initiatives while remaining actively involved in the design, construction, and operation of AI/ML systems.Main ResponsibilitiesDirect the design and development of AI/ML systems from problem framing to operational constraints.Steer system and architecture decisions for AI and ML platforms, ensuring scalability, performance, and operational excellence, along with evolving context engineering strategies for LLM-based systems under strict constraints.Design agent-based systems, including roles, interaction models, coordination strategies, and failure handling.Construct and maintain production AI systems, taking ownership of reliability, latency, cost, and correctness.Establish evaluation frameworks for AI and agent behaviors beyond offline metrics.Enhance AI-assisted development and reusable workflows to boost engineering velocity and system quality.Review and endorse ML designs, guiding trade-offs related to model quality, system complexity, and business impact while mentoring senior engineers and data scientists to elevate standards in AI system design and ML engineering.

Join Demandbase as a Senior Machine Learning Engineer:At Demandbase, we are revolutionizing how B2B enterprises approach growth through our unique pipeline AI platform. Our solution empowers go-to-market teams to automate and optimize their strategies seamlessly, providing a unified view of data, insights, and actions.We are not just about technology; we are about building careers, fostering a vibrant culture, and contributing to our community. Recognized as one of the Best Places to Work in the San Francisco Bay Area and one of the 60 Best Companies to Sell For, we pride ourselves on our commitment to excellence.Your RoleAs a Senior Machine Learning Engineer, you will play a crucial role in designing and developing next-generation Agentic AI systems at Demandbase. This position emphasizes multi-agent orchestration, LLM-powered reasoning systems, evaluation frameworks, and scalable generative AI architectures.You will work at the nexus of advanced data science, generative AI research, and production-level machine learning systems, ensuring that intelligent agents operate reliably and safely in enterprise settings. This is a deep AI systems engineering role focused on agent architecture, model evaluation, and innovative machine learning applications.

Join Schrödinger as a Full Stack Machine Learning Developer and help us enhance human health and quality of life through cutting-edge computational methodologies!As a vital member of our machine learning team, you'll develop platforms and interfaces enabling scientists to navigate complex datasets related to DNA, RNA, small molecules, materials design, and quantum physics. No prior experience in these specific fields is necessary, but a strong desire to learn and grow is essential.This role is perfect for:An engineer passionate about creating end-to-end web applications, from designing databases to refining user interfaces.A problem solver who excels at converting intricate scientific needs into user-friendly, high-performance software solutions.A versatile developer familiar with modern JavaScript frameworks (such as React, Vue, or TypeScript) and Python backend technologies.An effective communicator who thrives in a collaborative, interdisciplinary team setting.Your responsibilities will include:Working closely with scientists, researchers, and designers to deliver robust web applications aligned with business and product objectives.Designing and implementing scalable RESTful APIs and microservices to support intricate scientific workflows.Creating responsive and interactive front-end interfaces to visualize multi-dimensional scientific data.Engaging in a code review culture that promotes learning, high code quality, and adherence to security best practices.Contributing to the architectural design of systems that integrate heavy computational backends with user-facing applications.

Join Lookout, Inc., a globally acclaimed leader in cybersecurity, dedicated to safeguarding the most vulnerable aspect of any enterprise security strategy: human error and manipulation. Our cloud-native platform facilitates rapid, scalable deployment and streamlines security operations, defending against the increasing threat of human-centric attacks on mobile devices. With attackers targeting human instincts like trust and urgency, we empower users by preventing the disclosure of sensitive credentials through advanced security measures. Our Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, traditional malware, software vulnerabilities, and other anomalous activities. By leveraging innovative threat detection techniques, including machine learning and behavioral analysis, we identify threats proactively, minimizing risk across the enterprise. Explore more at www.lookout.com and connect with us on the Lookout Blog, LinkedIn, and X. Our backend system is engineered to support a vast volume of data and an escalating demand from data ingestion to dynamic analysis. We seek proficient and passionate engineers to develop core components and services and contribute to the evolution of our architecture. As part of a compact yet impactful team, you will work on a state-of-the-art product serving millions of users, playing a crucial role in building and maintaining the various services that power Lookout applications.

At Beghou Consulting, we boast over thirty years of expertise in empowering life sciences companies to enhance their commercialization efforts through insightful strategies, advanced analytics, and cutting-edge technology solutions. Our focus ranges from crafting effective go-to-market strategies and establishing robust data analytics frameworks to utilizing artificial intelligence for enriched customer insights and engagement. We are dedicated to maximizing performance across our clients' portfolios by deploying proprietary and third-party technology solutions that assist in forecasting performance, territory design, customer data management, and organizing and reporting on both medical and commercial data. With our headquarters in Evanston, Illinois, and ten offices worldwide, we are committed to innovation in the life sciences sector.Our mission is to unite analytical expertise with innovative technology to assist life sciences companies in navigating the complexities of healthcare, ultimately improving patient outcomes.This role involves spearheading client projects from inception through execution to the delivery of Commercial Data Warehouse (CDW) and Master Data Management (MDM) systems tailored for the commercial initiatives of pharmaceutical and life sciences firms. Moreover, this position is critical in managing client relationships concerning ongoing and prospective Data Warehouse projects while identifying avenues for future growth.

Join our dynamic team as a Data Science Engineer at Jobs for Humanity, where we empower individuals with disabilities by providing equal job opportunities. Your expertise in data science will play a vital role in driving innovative solutions and analytical insights that contribute to our mission of inclusivity. We are looking for passionate individuals who are committed to using their skills to make a positive impact.

Role overview This freelance contract centers on data annotation for AI development. The main responsibility is to prepare accurately labeled datasets that support the training and improvement of machine learning models. Careful attention to detail and consistent, high-quality annotation are essential to ensure the reliability of AI applications. Location and work style This position is remote and based in Hyderabad, Telangana, India. The role offers flexibility, allowing work from any location and the ability to set your own hours.

Join Beghou Consulting, a leader in optimizing commercialization for life sciences companies, leveraging over 30 years of expertise in strategic insights, advanced analytics, and innovative technology. We specialize in creating go-to-market strategies, building robust data analytics infrastructures, and utilizing artificial intelligence to enhance customer insights and engagement. Our mission is to empower life sciences organizations to maximize their performance and improve patient outcomes through data-driven solutions.At Beghou, we unite analytical expertise with cutting-edge technology to guide life sciences companies through the complexities of healthcare.The Associate Manager - Data Engineer will spearhead the design, execution, and delivery of data-centric solutions that bolster commercial strategy and operations within the pharmaceutical and life sciences sectors. As a seasoned expert, you will foster innovation in data engineering, analytics, and platform development, steering cross-functional teams to successful project completions. Your pivotal role includes shaping project strategies, crafting scalable data products and pipelines, and translating intricate data into actionable insights for both internal teams and clients. Additionally, you will contribute to organizational growth through mentorship, thought leadership, and active participation in business development initiatives.

Role overview The Marketing Science Analyst II at Crunchyroll in Hyderabad will work with marketing data to uncover patterns and support strategy. This position plays a key part in shaping how marketing decisions are made by providing clear, actionable insights from data analysis. What you will do Analyze marketing data to identify trends and patterns Use quantitative findings to optimize ongoing and future marketing campaigns Collaborate with teams across the company to strengthen marketing performance Who we’re looking for This position fits someone who enjoys exploring data and values data-driven marketing. A curious mindset, a collaborative approach, and an interest in supporting community growth are important qualities for success in this role.