8,802 Recommendation Systems jobs in India

Company Description

Emilo is a social media startup revolutionizing digital connections. We blend creativity, community, and AI-driven technology to enhance user engagement and content sharing. Our platform empowers individuals and businesses to connect, grow, and thrive in the ever-evolving digital landscape. Join us in shaping the future of social networking!

We’re building the next-generation Social Networking Platform – and we need a highly skilled AI/ML Engineer to design, develop, and deploy cutting-edge AI solutions. You will work on high impact projects personalized feed ranking, AI powered moderation, NLP driven content understanding, and fraud/spam detection – powering, engaging, safe and scalable user experiences.   

●     Build & Optimize large scale recommendation systems for personalized content feeds.

●     Develop AI Moderation Tools to detect spam, harmful content, and fake accounts in real time.

●     Implement NLP Models for sentiment analysis, content tagging, and automated moderation.

●     Create Computer Vision Solutions for image/video classification and object detection.

●     Analyze Massive Datasets to uncover actionable product and user insights.

●     Deploy & Maintain ML models in production with low-latency, high availability APIs  

●     Continuously Improve models through monitoring, A/B testing, and retraining.

●     Collaborate with backend and product teams to integrate AI seamlessly into the platform.

●     2+ years in AI/ML engineering, preferably in social media, e-commerce, or other content-based platforms.

●     Proven expertise in recommendation systems, NLP , or computer vision .

●     Proficiency in Python and ML Frameworks ( TensorFlow, PyTorch, Scikit-learn ).

●     Experience deploying models to production ( APIs, Docker, Kubernetes ).

●     Knowledge of deep learning architectures ( CNNs, RNNs, Transformers ).

●     Familiarity with cloud platforms ( AWS, GCP, Azure ) and MLOps practices.

Preferred Skills

●     Experience with big data tools ( Spark, Hadoop ).

●     Understanding of ethical AI, bias mitigation, and explainable AI techniques.

●     Exposure to large-scale, real time inference systems.

●    Bachelor’s in Computer Science, AI, Data Science, or related field (Master’s / PhD preferred) .

●     Build AI that powers a platform design for millions of users.

●     Work on socially impactful projects balancing engagement and safety.

●     Be a part of a fast-paced, innovation-driven culture with end-to-end ownership of AI features.

Company Description

Emilo is a social media startup revolutionizing digital connections. We blend creativity, community, and AI-driven technology to enhance user engagement and content sharing. Our platform empowers individuals and businesses to connect, grow, and thrive in the ever-evolving digital landscape. Join us in shaping the future of social networking!

We’re building the next-generation Social Networking Platform – and we need a highly skilled AI/ML Engineer to design, develop, and deploy cutting-edge AI solutions. You will work on high impact projects personalized feed ranking, AI powered moderation, NLP driven content understanding, and fraud/spam detection – powering, engaging, safe and scalable user experiences.   

●     Build & Optimize large scale recommendation systems for personalized content feeds.

●     Develop AI Moderation Tools to detect spam, harmful content, and fake accounts in real time.

●     Implement NLP Models for sentiment analysis, content tagging, and automated moderation.

●     Create Computer Vision Solutions for image/video classification and object detection.

●     Analyze Massive Datasets to uncover actionable product and user insights.

●     Deploy & Maintain ML models in production with low-latency, high availability APIs  

●     Continuously Improve models through monitoring, A/B testing, and retraining.

●     Collaborate with backend and product teams to integrate AI seamlessly into the platform.

●     2+ years in AI/ML engineering, preferably in social media, e-commerce, or other content-based platforms.

●     Proven expertise in recommendation systems, NLP , or computer vision .

●     Proficiency in Python and ML Frameworks (TensorFlow, PyTorch, Scikit-learn ).

●     Experience deploying models to production (APIs, Docker, Kubernetes ).

●     Knowledge of deep learning architectures (CNNs, RNNs, Transformers ).

●     Familiarity with cloud platforms (AWS, GCP, Azure ) and MLOps practices.

Preferred Skills

●     Experience with big data tools (Spark, Hadoop ).

●     Understanding of ethical AI, bias mitigation, and explainable AI techniques.

●     Exposure to large-scale, real time inference systems.

●    Bachelor’s in Computer Science, AI, Data Science, or related field (Master’s / PhD preferred) .

●     Build AI that powers a platform design for millions of users.

●     Work on socially impactful projects balancing engagement and safety.

●     Be a part of a fast-paced, innovation-driven culture with end-to-end ownership of AI features.

Company Description

Emilo is a social media startup revolutionizing digital connections. We blend creativity, community, and AI-driven technology to enhance user engagement and content sharing. Our platform empowers individuals and businesses to connect, grow, and thrive in the ever-evolving digital landscape. Join us in shaping the future of social networking!

We’re building the next-generation Social Networking Platform – and we need a highly skilled AI/ML Engineer to design, develop, and deploy cutting-edge AI solutions. You will work on high impact projects personalized feed ranking, AI powered moderation, NLP driven content understanding, and fraud/spam detection – powering, engaging, safe and scalable user experiences.   

●     Build & Optimize large scale recommendation systems for personalized content feeds.

●     Develop AI Moderation Tools to detect spam, harmful content, and fake accounts in real time.

●     Implement NLP Models for sentiment analysis, content tagging, and automated moderation.

●     Create Computer Vision Solutions for image/video classification and object detection.

●     Analyze Massive Datasets to uncover actionable product and user insights.

●     Deploy & Maintain ML models in production with low-latency, high availability APIs  

●     Continuously Improve models through monitoring, A/B testing, and retraining.

●     Collaborate with backend and product teams to integrate AI seamlessly into the platform.

●     2+ years in AI/ML engineering, preferably in social media, e-commerce, or other content-based platforms.

●     Proven expertise in recommendation systems, NLP , or computer vision .

●     Proficiency in Python and ML Frameworks (TensorFlow, PyTorch, Scikit-learn ).

●     Experience deploying models to production (APIs, Docker, Kubernetes ).

●     Knowledge of deep learning architectures (CNNs, RNNs, Transformers ).

●     Familiarity with cloud platforms (AWS, GCP, Azure ) and MLOps practices.

Preferred Skills

●     Experience with big data tools (Spark, Hadoop ).

●     Understanding of ethical AI, bias mitigation, and explainable AI techniques.

●     Exposure to large-scale, real time inference systems.

●    Bachelor’s in Computer Science, AI, Data Science, or related field (Master’s / PhD preferred) .

●     Build AI that powers a platform design for millions of users.

●     Work on socially impactful projects balancing engagement and safety.

●     Be a part of a fast-paced, innovation-driven culture with end-to-end ownership of AI features.

Company Description

Emilo is a social media startup revolutionizing digital connections. We blend creativity, community, and AI-driven technology to enhance user engagement and content sharing. Our platform empowers individuals and businesses to connect, grow, and thrive in the ever-evolving digital landscape. Join us in shaping the future of social networking!

We’re building the next-generation Social Networking Platform – and we need a highly skilled AI/ML Engineer to design, develop, and deploy cutting-edge AI solutions. You will work on high impact projects personalized feed ranking, AI powered moderation, NLP driven content understanding, and fraud/spam detection – powering, engaging, safe and scalable user experiences.   

●     Build & Optimize large scale recommendation systems for personalized content feeds.

●     Develop AI Moderation Tools to detect spam, harmful content, and fake accounts in real time.

●     Implement NLP Models for sentiment analysis, content tagging, and automated moderation.

●     Create Computer Vision Solutions for image/video classification and object detection.

●     Analyze Massive Datasets to uncover actionable product and user insights.

●     Deploy & Maintain ML models in production with low-latency, high availability APIs  

●     Continuously Improve models through monitoring, A/B testing, and retraining.

●     Collaborate with backend and product teams to integrate AI seamlessly into the platform.

●     2+ years in AI/ML engineering, preferably in social media, e-commerce, or other content-based platforms.

●     Proven expertise in recommendation systems, NLP , or computer vision .

●     Proficiency in Python and ML Frameworks ( TensorFlow, PyTorch, Scikit-learn ).

●     Experience deploying models to production ( APIs, Docker, Kubernetes ).

●     Knowledge of deep learning architectures ( CNNs, RNNs, Transformers ).

●     Familiarity with cloud platforms ( AWS, GCP, Azure ) and MLOps practices.

Preferred Skills

●     Experience with big data tools ( Spark, Hadoop ).

●     Understanding of ethical AI, bias mitigation, and explainable AI techniques.

●     Exposure to large-scale, real time inference systems.

●    Bachelor’s in Computer Science, AI, Data Science, or related field (Master’s / PhD preferred) .

●     Build AI that powers a platform design for millions of users.

●     Work on socially impactful projects balancing engagement and safety.

●     Be a part of a fast-paced, innovation-driven culture with end-to-end ownership of AI features.

Role Overview:

As a Machine Learning & Data Science Intern, you will work closely with our team to develop data-driven solutions, explore datasets, and apply ML techniques to real-world problems. This is a hands-on opportunity to learn, experiment, and contribute to building products that make a difference.

Key Responsibilities:

• Assist in collecting, cleaning, and analyzing large datasets.
• Implement and experiment with machine learning models and algorithms.
• Support in building predictive models, recommendation systems, or NLP applications.
• Visualize data and present insights to the team.
• Collaborate with engineers and product teams to integrate ML solutions.
• Stay updated with the latest research and ML techniques.

Requirements:

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, or a related field.
• Basic understanding of machine learning algorithms, statistics, and data analysis.
• Familiarity with Python, R, or similar languages.
• Experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch is a plus.
• Strong problem-solving skills and curiosity to learn.
• Good communication skills and ability to work in a collaborative environment.

What You'll Learn:

• Hands-on experience with real-world ML projects.
• End-to-end data science workflow, from data collection to model deployment.
• Exposure to working in a fast-paced startup environment.
• Collaborative teamwork and product-focused thinking.

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.

• Lead and mentor a team of data scientists focused on developing and deploying ML solutions including GNNs, LLM-based applications, and fraud detection models.
• Define and drive the roadmap for AI/ML initiatives across Crunchyroll's product and platform ecosystem.
• Guide the development of robust ML pipelines and infrastructure, working closely with data engineering, software engineering, and DevOps teams.
• Establish best practices for experimentation, model evaluation, A/B testing, and continuous learning in production environments.
• Work with stakeholders across business, marketing, security, and content teams to identify AI opportunities and translate them into actionable projects.
• Ensure responsible AI/ML development by emphasizing model interpretability, performance, and fairness.
• Own operational metrics around model impact, latency, cost, and system scalability.
• Foster a strong team culture centered on innovation, curiosity, collaboration, and continuous learning.

About You
We get excited about candidates, like you, because.

• Bachelor's or Master's in Computer Science, Statistics, Data Science, or a related quantitative field.
• 5+ years of industry experience in data science or applied ML, with 2+ years of people leadership experience.
• Proven track record of delivering production ML systems that solve real-world business problems.
• Deep knowledge of ML/AI frameworks (e.g., PyTorch, TensorFlow, HuggingFace) and experience with applied NLP, GNNs, GraphRAG, and embeddings.
• Experience building systems leveraging Graph Databases, Vector Stores (e.g., FAISS, Pinecone), and cloud-native ML stacks (SageMaker, Databricks, etc.).
• Strong technical leadership, with the ability to direct teams to develop optimal ML solutions and guide research-to-production lifecycle.
• Excellent communication and stakeholder management skills; able to translate between business and technical worlds.
• A passion for building high-performing teams, mentoring others, and fostering a learning-first environment.

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.
• Kaizen. We have a growth mindset committed to constant forward progress.
• 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 email account.

• Gain practical experience in data cleaning, preprocessing, and feature engineering.
• Learn to develop, train, and evaluate machine learning models for predictive analysis and classification tasks.
• Assist in the exploration of large datasets to identify patterns, trends, and insights.
• Contribute to the development of data visualization dashboards to communicate findings effectively.
• Collaborate with senior data scientists and engineers on ongoing projects.
• Receive mentorship and guidance from experienced professionals in the field.
• Understand the lifecycle of a data science project from problem definition to deployment.
• Participate in training sessions and workshops focused on data science tools and methodologies.
• Develop a strong portfolio of projects to showcase your skills to future employers.
• Gain exposure to various industries and business challenges where data science is applied.

• Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Solid understanding of statistical concepts and probability.
• Proficiency in at least one programming language such as Python or R.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch) is a plus.
• Strong logical reasoning and problem-solving abilities.
• Excellent communication and teamwork skills.
• A keen interest and passion for data science and machine learning.
• Eagerness to learn and adapt in a dynamic environment.
• Ability to commit to the full duration of the apprenticeship program.
• Located in or willing to relocate to Mysuru for the duration of the program.