30 Recommendation Systems Jobs

As an offshore Analytics Project Manager specializing in General & Marketing Analytics at EXL, you will play a crucial role in leveraging data analytics to inform and optimize marketing strategies for a client in the Sports & Media domain. Your responsibilities will include delivering analytical insights by analyzing user behavior across various digital platforms, driving product and marketing strategy based on findings, advancing predictive analytics through machine learning models, creating executive-ready visualizations, managing projects, and mentoring junior analysts. To qualify for this role, you should hold a Bachelor's or Master's degree in Statistics, Economics, Mathematics, Computer Science, or a related field from a reputable institution. You should have at least 4 years of experience in product analytics and machine learning, preferably within DTC digital products such as apps, games, or websites. Proficiency in SQL and Python or R, experience with digital engagement datasets, churn modeling, and recommendation systems, as well as strong storytelling and communication skills are essential. Additionally, experience in Sports or Media industry and working knowledge of marketing front-end tools like AEP or CJ would be advantageous. Joining EXL offers you the opportunity to work with a renowned organization in professional sports, collaborate with passionate professionals dedicated to data analytics, access cutting-edge tools and technologies, receive a competitive compensation package and comprehensive benefits, and be part of shaping the future of marketing in sports and entertainment through data-driven decision-making. If you are passionate about sports, skilled in analytics, and eager to contribute meaningfully to marketing initiatives, we welcome you to join our team.,

The Manager - Data Science Product at Majid Al Futtaim Retail in India plays a crucial role in developing and delivering the product vision and roadmap in collaboration with product developers, data engineers, and data analysts. This position involves spearheading the Advanced Analytics transformation within the organization. The Manager will contribute to building analytics talent to support the advanced analytics agenda and shape the trajectory of the Retail Analytics Unit. By leveraging quantitative analysis, data mining, and data manipulation, the Manager will design and implement data models, develop advanced statistical models, and enhance algorithms to address Retail Analytics problems. Responsibilities also include leading the solution development process, running experiments to assess model results, and developing impact measurement frameworks. The Manager will ideate and develop proof of concepts for new analytics initiatives, aiming to optimize user experience and business operations. Additionally, the role involves coordinating with various stakeholders, liaising with the product team, and ensuring regular information exchange on project progress. Building relationships and maintaining partnerships with key personnel are essential to achieve organizational goals. Furthermore, the Manager will be responsible for preparing business presentations and reports related to Retail Analytics, performing regular audits of processes and databases, and contributing to the development and implementation of relevant policies and procedures. The ideal candidate should possess a Bachelor's Degree in an IT-related field or Computer Engineering, with a preference for a Master's Degree. A minimum of 5-8 years of experience in a senior Data Scientist role in an international environment, along with expertise in Retail/FMCG business, is required. Proficiency in programming languages like Python/SQL/PySpark, knowledge of algorithm/modeling techniques, and experience in deploying machine learning models on cloud services are essential skills for this role. The Manager - Data Science Product at Majid Al Futtaim Retail must have experience in visualization tools such as PowerBI, Qlik, and BO, as well as familiarity with various programming languages and modeling techniques. The candidate should also possess experience in deploying machine learning models on cloud services, time series forecasting, boosting algorithms, optimization techniques, NLP, recommendation systems, and data visualization software. Advanced experience in Azure, Spark, and git, along with a basic understanding of web application frameworks, is beneficial. Strong problem-solving skills, a collaborative mindset, and proactive attitude are essential attributes for this role.,

You will be responsible for leading the AI team in developing and deploying cutting-edge AI models. This will involve defining the AI strategy in alignment with the company's goals, overseeing the end-to-end AI project life cycle, and collaborating with stakeholders to identify opportunities for AI-driven solutions. It is crucial to ensure the ethical and responsible use of AI technologies and stay updated with the latest advancements in the field. Additionally, providing mentorship and guidance to team members, managing the team's resources, budget, and timelines, and communicating project progress to executive leadership will be key responsibilities. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with at least 3 years of experience in AI, machine learning, and data science. Proficiency in NLP, Generative AI, Transformer models, and experience in training, fine-tuning, and optimizing AI models are essential. A strong understanding of machine learning algorithms, neural networks, and NLP, as well as familiarity with AI development frameworks and tools like TensorFlow, PyTorch, and Scikit learn, is required. Ability to deploy AI models in cloud-based and edge environments, proficiency in programming languages such as Python, R, or Java, and excellent problem-solving skills are also necessary. Strong communication and interpersonal skills are vital for this role. Preferred skills for this position include familiarity with NLP, computer vision, and experience with big data technologies like Spark and Hadoop. The ability to translate business needs into technical requirements and an understanding of ISO standards are desirable. Location: Mohali Equal Employment Opportunity:,

Loti AI specializes in protecting major celebrities, public figures, and corporate IP from online threats, focusing on deepfake and impersonation detection. Founded in 2022, Loti offers likeness protection, content location and removal, and contract enforcement across various online platforms including social media and adult sites. The company's mission is to empower individuals to control their digital identities and privacy effectively. We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what's possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications And Skills: Education: Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence.,

As an ML Engineer at an early-stage, US-based venture-backed technology company in Gurgaon, you will be responsible for designing and deploying the core recommendation and personalization systems that power the matchmaking experience. Your role will involve engineering the full lifecycle - from design, R&D, to deployment - while laying the foundation for scalable, real-time ranking infrastructure. You will be developing match-making, recommendation, ranking, and personalization systems. Specifically, you will work on creating a novel real-time adaptive matchmaking engine that learns from user interactions and other signals. Your tasks will also include designing ranking and recommendation algorithms that make each user feed feel curated for them. Additionally, you will build user embedding systems, similarity models, and graph-based match scoring frameworks, and deploy models to production using fast iteration loops, model registries, and observability tooling. The ideal candidate for this role is an ML engineer with 3-6 years of experience working on ML Engineering or Data Science. You should have prior experience working in personalization, recommendations, search, or ranking at scale. Exposure to a variety of popular recommendation and personalization techniques, including collaborative filtering, deep retrieval models, learning-to-rank, embeddings with ANN search, and LLM approaches for sparse data personalization is desirable. Experience with end-to-end ML pipelines, vector search, graph-based algorithms, and LLM based approaches would be a significant advantage. Joining this company's founding team will allow you to play a core role in shaping the future of how humans connect in the AI era. The compensation offered includes a range of 30-50 LPA along with ESOPs, providing an opportunity for wealth creation.,

At Capgemini Engineering, as a part of the global team of engineers, scientists, and architects, you will have the opportunity to collaborate with the world's most innovative companies and contribute towards unleashing their potential. From cutting-edge technologies like autonomous cars to life-saving robots, our digital and software technology experts are known for their out-of-the-box thinking and providing unique R&D and engineering services across all industries. Embark on a career full of possibilities where every day is a new challenge. Your role will require expert knowledge in Python and proficiency in popular machine learning libraries and frameworks such as TensorFlow, Keras, and scikit-learn. You should have a deep understanding and practical application of clustering algorithms like K-means and hierarchical clustering for grouping similar data points. Additionally, expertise in classification algorithms such as decision trees, support vector machines, and random forests for tasks like image recognition, natural language processing, and recommendation systems will be essential. Moreover, you should be proficient in working with databases, both relational and non-relational like MySQL, including experience in designing database schemas and optimizing queries for efficient data retrieval. A strong foundation in areas like Object-Oriented Analysis and Design, multi-threading, multi-process handling, and memory management will be advantageous. You are expected to possess good knowledge of model evaluation metrics and techniques and have experience in deploying machine learning models to production environments. Being a part of an Agile scrum team, you should be adept at using version control systems like Git for collaborative development. Your primary skills should include excellent Python coding abilities, strong communication skills, and expertise in data modeling and popular machine learning libraries and frameworks. Join Capgemini, a global business and technology transformation partner dedicated to accelerating organizations" transition to a digital and sustainable world. With a diverse team of over 340,000 members in more than 50 countries and a strong heritage of over 55 years, Capgemini is committed to delivering value through technology for its clients. From strategy and design to engineering, the organization offers end-to-end services and solutions leveraging AI, cloud, and data capabilities, along with deep industry expertise and a strong partner ecosystem. If you are looking to make a tangible impact on enterprises and society while working in a dynamic and innovative environment, Capgemini Engineering offers a platform where your skills and expertise can thrive.,

As an analytical builder with a passion for user engagement and system optimization, you will play a key role in designing and implementing gamification systems to enhance user experience on our platform. Your ability to understand user behavior and translate it into actionable insights will be crucial in creating engaging and delightful experiences for our users. Working closely with our engineering and data teams, you will drive initiatives focused on gamification, engagement, and growth. Your responsibilities will include designing and optimizing gamification systems to drive long-term user engagement, monitoring user engagement loops using data-driven insights, and collaborating with other teams to improve content discovery and user matching. You will also work on developing sophisticated user behavior models, maintaining internal dashboards and analytics tools, and architecting scalable technical solutions in collaboration with engineering teams. Additionally, you will be involved in defining and tracking complex metrics, building A/B testing frameworks, and analyzing system performance to identify optimization opportunities. The ideal candidate for this role is someone who excels at thinking at the system level, with a strong ability to distill user interactions and behaviors. You should have at least 3 years of product management experience with a focus on growth, engagement, or platform systems, exceptional analytical and mathematical skills, and proficiency in tools such as SQL and Python for data analysis. Experience in designing gamification mechanics, working with recommendation systems, and translating technical concepts into product requirements will be valuable. Strong problem-solving skills, a background in user psychology or game theory, and familiarity with analytics platforms are also desirable qualities for this position. Joining our team will provide you with the opportunity to work on cutting-edge AI and machine learning technologies applied to real-life consumer problems. You will be a core member of our founding team, shaping the future of human connections in the AI era. In addition to meaningful equity, we offer competitive compensation that recognizes your contributions to our product experience. If you are passionate about user engagement, system optimization, and the potential of AI in shaping the future, we invite you to join us on this exciting journey.,

About Zwende: An ISB Alumni Venture, approved by DIPP under Startup India. Zwende is the worlds first creator-to-consumer platform which offers unique creative products, learning and entertainment from independent artists/makers, boutique designers, and rural artisans. Zwende is built to offer the unlimited creativity of the creators and match it to the need, of todays consumers, for individuality and self-expression. Zwende is the only Indian start-up featured by Amazon&aposs Global CTO, Werner Vogels, on his show Now Go Build (NGB). NGB tells stories of global entrepreneurs using cloud-based technologies to solve hard, real-world problems. Watch the show here: https://www.youtube.com/watchv=2n7bm0mteG0 At Zwende, we&aposre not just building products we&aposre reimagining how theyre built. Were crafting a world-class, AI-first product and technology team, and we&aposre on the hunt for an AI Product Analyst whos ready to redefine what this role means. This isn&apost your typical analyst gig. Youll be part of a new generation of product thinkers those who blend data, instinct, and cutting-edge AI to shape decisions, automate insights, and accelerate product velocity. You wont just support the product; youll co-create it, using AI as your co-pilot. If you&aposre excited about operating at 10x speed, impact, and creativity and building the muscle to lead AI-native product roles across the tech ecosystem this is your launchpad. If this has got you excited, lets dive deeper. Here are all the things that the AI Product Analyst would do: Combine data across Google Analytics, Meta Ads & Shopify to come up with unique product/business hypothesis that will move the business forward Spin up automated A/B testing frameworks using tools like GrowthBook or PostHog, powered by AI agents to monitor results, adjust hypotheses, and even auto-suggest next test variations. Learn vibe coding on Replit/Cursor etc, to be able to prototype new product ideas and validate them in a matter of days, before they get into regular product development Build Agents using n8n or Agent builder toolkits which can automate workflows for the entire organization Train and deploy lightweight recommender systems (e.g., using embeddings + Shopify data) that surface relevant products or bundles dynamically. Lead AI onboarding sessions for other team members, making AI-first thinking part of the org DNA from designers and marketers to CX and ops. To become successful in this role, you will need: Core Analytical & Product Skills Strong grounding in data analysis fluency in SQL, Excel/Sheets, and experience with tools like GA4, Shopify analytics, and Meta Ads Manager. Ability to connect the dots across platforms and datasets to uncover user behavior insights, marketing ROI, and conversion gaps. Comfort with rapid experimentation running A/B tests, interpreting results, and suggesting actionable changes. Experience working closely with product teams to inform feature prioritization and validate product hypotheses with data. AI-Native Thinking Hands-on experience (or deep curiosity) with tools like Replit, Cursor, n8n, or LangChain to automate, prototype, or build internal tools. Familiarity with how LLMs work, and how they can be used for analysis, summarization, ideation, and UX (even if you haven&apost fine-tuned one yourself). Ability to design, prompt, or configure AI agents to automate workflows (internal dashboards, reporting agents, CX support agents, etc). Bonus: Exposure to embeddings, vector search, or recommendation systems in any side project or course. Mindset & Traits Youre a builder-analyst someone who doesn&apost just observe problems but wants to solve them by creating scrappy tools or internal agents. You learn by doing youre excited to ship rough prototypes, learn from real-world signals, and iterate quickly. You think from first principles, not just playbook. You&aposre not afraid to question default tools or methods if you see a better way. Youre deeply curious about AI and how it can be applied creatively to real business and user problems. Youre comfortable with ambiguity this role wont come with rigid requirements, but with room to invent and define it. Additional Information: Flexible Working Hours. Indicative timing: 9 AM to 7 PM. Monday to Saturday. Location: Work from Home, might convert to work from office Work closely with the leadership team at Zwende Exponential career growth based on performance A flat org and informal structure where performance and superiority of thought drive all decisions Show more Show less

As a Research Scientist at Adobe, you will have the opportunity to engage in cutting-edge research within the Media and Data Science Research Laboratory. Your role will involve designing, implementing, and optimizing machine learning algorithms to address real-world problems related to understanding user behavior and enhancing marketing performance. You will also be responsible for developing scalable data generation techniques, analyzing complex data from various sources, and running experiments to study data quality. Collaboration will be a key aspect of your role, as you will work closely with product, design, and engineering teams to prototype and transition research concepts into production. Your expertise in areas such as Large Language Models, Computer Vision, Natural Language Processing, and Recommendation Systems will be crucial in driving innovative solutions that redefine how businesses operate. To thrive in this role, you should have a proven track record of empirical research, experience deploying solutions in production environments, and the ability to derive actionable insights from large datasets. A degree in Computer Science, Statistics, Economics, or a related field is required, along with a knack for taking research risks and solving complex problems independently. At Adobe, we prioritize diversity, respect, and equal opportunity, recognizing that valuable insights can come from any team member. If you are a motivated and versatile individual with a passion for transforming digital experiences, we encourage you to join our ambitious team and contribute to the future of technology innovation.,

As a Deep Learning Engineer Intern, you will have the opportunity to work on our core ML stack, focusing on areas such as Computer Vision, Recommendation Systems, and LLM-based Features (optional). Working closely with our senior engineers, you will gain hands-on experience with real data, address edge-case challenges, and rapidly iterate on prototypes that drive our food-robotic machine. You will be an integral part of a focused 2-person full-time ML team, serving as our first intern and reporting directly to the Lead. This small team size ensures significant mentorship opportunities and allows you to make a direct impact on product development. Your responsibilities will include: - Working on tasks such as Ingredient Segmentation, Recipe Similarity, and Vision-Language Models - Packaging and deploying models for on-device inference and AWS services - Supporting data collection and annotation, refining datasets based on model performance - Iterating on experiments, tuning hyperparameters, testing augmentations, and documenting results We are looking for candidates with: - Strong fundamentals in Deep Learning (Transformers, CNNs) and classical ML (Logistic / Linear regression) - Hands-on experience with PyTorch in academic projects, internships, or personal work - Proficiency in Python and the broader ML ecosystem (NumPy, pandas) - Solid understanding of training pipelines, evaluation metrics, and experimental rigor - Eagerness to learn new domains such as NLP and recommendations Nice to have skills include prior exposure to LLMs or multimodal models, experience with computer vision in challenging real-world environments, and projects involving noisy, real-world datasets or edge-case-heavy scenarios. Working with us, you will enjoy: - Early ownership of ML features, contributing end-to-end to projects - Hands-on experience with real robotic systems in homes, witnessing your models in action - Direct access to senior ML engineers for mentorship in a small, focused team environment - Rapid feedback loops that allow you to prototype, deploy, and learn quickly - A clear growth path with strong potential for full-time conversion into our rapidly expanding ML team We are looking for candidates who are currently enrolled in a B.Tech or M.Tech program (3-4 years into their degree), possess strong math and ML fundamentals beyond using off-the-shelf libraries, thrive in an ambiguous, fast-paced startup environment, and are always curious, enjoying building, experimenting, and sharing insights. Location: Bangalore (4 days WFO & 1 day WFH) Duration: 3-6 month internship Compensation: 1,00,000/month To apply, ensure your resume includes a project portfolio with the following: - GitHub profile showcasing ML/deep learning projects - Public codebase from coursework, internships, or personal work - Kaggle notebooks or competition solutions with leaderboard standings,

As a Senior Data Scientist, you will utilize your expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services to design, develop, and deploy advanced AI/ML models. Your role will involve solving complex business problems by building, training, and optimizing AI models using Python and relevant ML frameworks. You will implement Azure AI/ML services for scalable deployment and integrate APIs for real-time model inference. Working with large-scale data, you will extract insights to drive strategic initiatives and collaborate with cross-functional teams to integrate AI/ML solutions into applications. Your responsibilities will include designing and developing ML, NLP, and GenAI models, implementing Azure AI/ML services, developing APIs for model deployment, and working with large-scale data to extract insights. You will collaborate with cross-functional teams, implement CI/CD pipelines, ensure adherence to software engineering best practices, stay updated on AI/ML advancements, conduct research on emerging trends, provide technical mentorship, and optimize model performance in a production environment. To excel in this role, you must have proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn, hands-on experience in NLP techniques, expertise in Generative AI models, knowledge of Azure AI/ML services, and experience in developing APIs for model deployment. Familiarity with CI/CD pipelines, software engineering principles, Agile methodologies, statistical analysis, data mining, and data visualization is essential. Preferred qualifications include experience in MLOps, knowledge of vector databases, and exposure to big data processing frameworks. Joining our team as a Senior Data Scientist will offer you a full-time or part-time permanent position with benefits such as health insurance and provident fund. You will work day shifts from Monday to Friday with weekend availability and have the opportunity for performance bonuses. With a minimum of 8 years of experience in Python, Azure AI/ML services, and Senior Data Scientist roles, you will contribute to innovative solutions and drive data-driven decision-making in a collaborative environment.,

As a Senior AI/ML Engineer/Lead at our company located in Mohali, you will play a crucial role in leading the design, architecture, and delivery of complex AI/ML solutions. With over 8 years of experience, you will be responsible for developing and implementing machine learning models across various domains like NLP, computer vision, recommendation systems, classification, and regression. Your expertise will be utilized to integrate Large Language Models (LLMs) such as GPT, BERT, LLaMA, and other state-of-the-art transformer architectures into our enterprise-grade applications to drive innovation. Your key responsibilities will include selecting and implementing ML frameworks, tools, and cloud technologies that align with our business goals. You will lead AI/ML experimentation, PoCs, benchmarking, and model optimization initiatives while collaborating with data engineering, software development, and product teams to integrate ML capabilities seamlessly into production systems. Additionally, you will establish and enforce robust MLOps pipelines covering CI/CD for ML, model versioning, reproducibility, and monitoring to ensure reliability at scale. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Your hands-on experience in the AI/ML domain, along with a proven track record of delivering production-grade ML systems, will be highly valued. Proficiency in machine learning algorithms, deep learning architectures, and advanced neural network design is essential. You should also possess expertise in LLMs, transformer-based models, prompt engineering, and embeddings, with strong programming skills in Python and familiarity with cloud platforms for scalable ML workloads. Having experience with MLOps tools and practices, such as MLflow, Kubeflow, SageMaker, or equivalent, will be beneficial. Furthermore, exposure to vector databases, real-time AI systems, edge AI, streaming data environments, and active contributions to open-source projects, research publications, or thought leadership in AI/ML will be advantageous. A certification in AI/ML would be a significant plus. If you are a self-driven individual with excellent leadership, analytical thinking, and communication skills, and if you are passionate about staying updated on AI advancements and championing their adoption in business use, we encourage you to apply for this exciting opportunity.,

As a seasoned fullstack developer, you will be responsible for leading the development of various products while leveraging your expertise in AI/ML and market & website analytics. Your role will be pivotal in the creation of intelligent platforms and driving data-informed decisions. You will lead the fullstack development of products, with a preference for utilizing technologies such as Node.js, React/Angular, and MongoDB/PostgreSQL. Additionally, your role will involve building and integrating AI-powered features like NLP, predictive analytics, and recommendation systems. Analyzing data from tools like Google Analytics, Mixpanel, and Amplitude will be crucial, along with developing dashboards and data visualizations to support marketing and product teams. Collaboration with designers, data engineers, and product managers will be essential to align technological developments with business strategies. You will take ownership of product performance and conversion metrics, conducting regular audits and implementing improvements based on evaluations of user behavior, funnels, and attribution data. To excel in this role, you must possess strong fullstack capabilities including JavaScript, Node.js, React/Angular, APIs, and databases. Practical experience in AI/ML frameworks such as Python, TensorFlow, and Hugging Face, along with proficiency in website analytics, user behavior tracking, and A/B testing, are required. Experience in building or integrating marketing analytics systems and the ability to generate meaningful insights from data for stakeholders are crucial aspects of this position. Knowledge of SEO, CRO, and performance optimization best practices will also be beneficial. In summary, this role offers an exciting opportunity for a skilled fullstack developer to contribute to the development of intelligent platforms, drive data-informed decisions, and collaborate with cross-functional teams to ensure alignment with business objectives.,

The Role We&aposre seeking an analytical builder who excels at designing engagement systems and building the foundational infrastructure that powers our platform. You have user empathy and fascination with how users behave while using your product, and you also know how to quantify, supercharge and optimise the same to create a delightful user experience. You will work closely with our engineering and data teams and drive gamification, engagement and growth. What you&aposll do: Design and optimise gamification systems that drive long-term user engagement and retention Build and monitor core user engagement loops using data-driven insights Partner with recommendation algorithm teams to improve content discovery and user matching Collaborate with data science teams to develop sophisticated user behaviour models Own the development and maintenance of internal dashboards, analytics tools, and operational systems Work directly with engineering teams to architect scalable technical solutions Define and track complex metrics across multiple systems and user touchpoints Build A/B testing frameworks and experimentation infrastructure Analyse system performance and user behaviour patterns to identify optimisation opportunities Design and implement internal tools that improve team productivity and decision-making Ideal Profile Your superpower is the ability to think at the system level. You can distil user interactions and behaviour. You can empathise with their core needs while understanding analytically how to build the best systems to power them. 3+ years of product management experience with a focus on growth, engagement, or platform systems Exceptional analytical and mathematical skills with experience in statistical analysis Experience designing gamification mechanics, progression systems, and user engagement loops Proficiency with SQL, Python, or similar tools for data analysis Strong technical background with the ability to work closely with engineering teams Experience working with recommendation systems, machine learning models, or algorithmic feeds Ability to translate complex technical and ML concepts into clear product requirements Track record of building and scaling internal tools and operational systems Strong problem-solving skills and comfort working in ambiguous technical environments Experience with analytics platforms, understanding of personalisation systems and a background in user psychology or game theory are a plus. Bonus points if you love and understand games. Why Join Us Now Join a founding team where your work is core to the product experience Work at the cutting edge of AI and machine learning applied to a real-life, scaled consumer problem. Shape the future of how humans connect in the AI era Meaningful equity + competitive cash compensation Show more Show less

As a Senior Software Engineer with 12-16 years of experience in supply chain retail technology, you will be joining the Fulfilment Optimization team at Wayfair. The team is responsible for building platforms that determine how customer orders are fulfilled, focusing on optimizing Wayfair profitability and customer satisfaction. Your role will involve enhancing and scaling customer-facing platforms that provide fulfillment information on the website, ensuring the accurate representation of the dynamic supply chain, and surfacing the necessary information for customers, suppliers, and carriers in real-time. In this position, you will partner with business stakeholders to provide transparency, data, and resources for informed decision-making. You will be a technical leader within and across the teams, driving high-impact architectural decisions and hands-on development following best design and coding practices. Your responsibilities will include ensuring production readiness, identifying risks and proposing solutions, contributing to the team's strategy and roadmap, and fostering a culture of continuous learning and innovation. To be successful in this role, you should have a Bachelor's Degree in Computer Science or a related field, along with at least 12 years of experience in a senior engineer or technical lead role. You should have mentored a team of 10-12 people and possess expertise in developing and designing scalable distributed systems. Strong communication skills, the ability to collaborate effectively with cross-functional teams, and a passion for mentoring and leading engineers are essential qualities for this role. Experience in designing APIs and microservices, working with cloud technologies (specifically GCP), data processing, data pipelines, and familiarity with common open-source platforms and tools such as Kafka, Kubernetes, Java microservices, and GraphQL APIs are highly desirable. Additionally, experience in designing and developing recommendation systems, productionalizing ML models, and working with event-driven systems and technologies would be advantageous. Joining Wayfair means being part of one of the world's largest online destinations for home goods. With a commitment to industry-leading technology and creative problem-solving, Wayfair offers rewarding career opportunities for individuals seeking rapid growth, continuous learning, and dynamic challenges. If you are looking to be a part of a team that is reinventing the way people shop for their homes, Wayfair is the place for you. Please review our Candidate Privacy Notice for information on how your personal data is processed. If you have any questions or wish to exercise your privacy rights, please contact us at dataprotectionofficer@wayfair.com.,

As a Senior AI Engineer / Data Scientist at our cutting-edge Ed-Tech company based in Delhi, you will play a crucial role in designing, developing, and deploying advanced AI/ML models that have a significant impact on our business. Your focus will be on utilizing AI technologies to enhance education through various initiatives such as automated question generation, assessment engines, personalized learning solutions, AI tutors, and auto-grading of answer sheets. Your key responsibilities will include designing, optimizing, and implementing AI and machine learning models tailored specifically for Ed-Tech use cases. This will involve working on projects related to question generation, auto-evaluation systems, adaptive learning engines, AI tutors, and automated answer sheet grading. Additionally, you will be responsible for integrating AI models with frontend interfaces and backend server logic, handling both structured and unstructured data using SQL and NoSQL databases, and ensuring high standards of data security, privacy, and compliance. To succeed in this role, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field, along with 4-6 years of hands-on experience in AI/ML development. You should have a strong background in Generative AI, time series forecasting, recommendation systems, and real-world AI solutions, as well as proficiency in Python and ML frameworks like TensorFlow, PyTorch, and scikit-learn. Knowledge of machine learning algorithms, data structures, model tuning, and evaluation metrics is essential, and experience with Knowledge Graphs and Docker deployments would be beneficial. Furthermore, you should be adept at developing and maintaining microservices-based architectures, possess strong testing skills using platforms like unittest, and excel in communication, documentation, and team collaboration. Prior experience in Ed-Tech or deploying AI solutions in production environments, as well as active contributions to open-source projects or a well-maintained GitHub portfolio, would be considered advantageous. If you are passionate about leveraging AI to solve real-world challenges in the education sector and thrive in a collaborative, innovative environment, we would love to hear from you. Join our team and be part of revolutionizing education through AI-driven technologies.,

As a global media company producing high-quality content that reaches millions of users worldwide, Cond Nast is seeking a talented Senior Director of Data Science to drive data-driven decision making and innovation across our portfolio of prestigious brands. In this pivotal role based in Chennai, TN, you will lead a team of data scientists to develop ML and AI-driven products that enhance user experiences, content personalization, and drive business growth. Reporting directly to the executive leadership, you will define and execute the data science roadmap aligned with Cond Nast's business objectives. You will foster a culture of data-driven decision-making, effectively communicating complex data insights to technical and non-technical audiences. Your strategic leadership will be instrumental in identifying opportunities for leveraging data science to drive innovation and competitive advantage across the company. Collaboration is key at Cond Nast, and you will work closely with international colleagues and stakeholders in our US, UK, and India headquarters. You will lead, mentor, and grow a high-performing team of data scientists, promoting collaboration, innovation, and professional development. By collaborating with cross-functional teams such as Product, Analytics, Engineering, Design, and UX, you will identify data science opportunities and deliver impactful solutions. In this role, you will enable the team to develop and deploy predictive models, machine learning algorithms, and AI-driven solutions to optimize content recommendations, personalization, and revenue growth. Leveraging natural language processing (NLP) and Large Language Models (LLMs), you will analyze multimodal content to power recommendations and smarter editorial decisions. Your expertise in ML/AI and statistical modeling will be crucial in improving content performance, audience engagement, and subscription growth. Furthermore, you will champion data governance and innovation, collaborating with machine learning engineering, data engineering, and IT teams to ensure the integrity, accuracy, and security of data. By staying abreast of data science trends and technologies, you will drive the development of new data products and features. Your qualifications include an advanced degree in Data Science, Computer Science, Statistics, or related disciplines, along with extensive experience in leading large-scale data science projects and teams. If you are excited about the opportunity to drive data-driven decision making and innovation in a global media company, we encourage you to apply below. We look forward to reviewing your application and considering you for this impactful role at Cond Nast.,

As a Senior Data Scientist, you will utilize your extensive experience and expertise in AI/ML technologies to drive innovation and solve real-world problems. Your responsibilities will include designing, developing, and optimizing recommendation systems to enhance user experience, building advanced NLP chatbots for automating customer interactions, leading Generative AI solutions, and applying Large Language Models like GPT and BERT to create innovative business-specific solutions. Collaboration with cross-functional teams is key as you integrate machine learning models into production systems, perform data exploration and feature engineering, and stay updated on the latest advancements in AI and ML technologies. Mentoring junior data scientists and engineers, collaborating with product managers and business stakeholders, and ensuring ethical and responsible model development are also crucial aspects of this role. To excel in this position, you should have 5+ years of experience in data science or machine learning, with strong expertise in recommendation systems, chatbots, Generative AI, and Large Language Models. Proficiency in machine learning frameworks like TensorFlow and PyTorch, as well as experience with cloud platforms and data pipelines, will be essential. Your problem-solving skills, statistical knowledge, and ability to convey technical concepts to non-technical stakeholders will further contribute to your success in this role. Joining our rapidly growing product-based company will provide you with the opportunity to collaborate with a talented team, work on high-quality software solutions, and enjoy a competitive compensation and benefits package. If you are passionate about AI/ML technologies and eager to make a significant impact, this role offers an exciting and rewarding career opportunity.,

We are seeking a passionate and skilled AI/ML Engineer to be a part of our team in the development of cutting-edge web and mobile applications that are powered by artificial intelligence. Your role will involve close collaboration with product managers, designers, and developers to incorporate intelligent features that enhance user experience and deliver real-world value. This is an exciting opportunity to work at the convergence of machine learning, natural language processing, and full-stack development, where you will apply your expertise to create tangible products that are utilized by a large user base. Your responsibilities will include designing, developing, and deploying machine learning models for both web and mobile applications. You will work in conjunction with frontend and backend teams to seamlessly integrate ML features into the product. Additionally, you will preprocess and analyze structured and unstructured data for training and evaluation purposes, as well as construct pipelines for model training, testing, deployment, and monitoring. As an AI/ML Engineer, you will be tasked with implementing AI features such as recommendation systems, chatbots, NLP pipelines, or computer vision. It will be essential to optimize these models for performance and scalability on various platforms including web and mobile. Furthermore, staying abreast of the latest advancements in AI/ML and evaluating their relevance to the product will be key aspects of this role. This is a full-time position that requires in-person work at the designated location.,

The Vivriti Group is a leading player in the mid-market lending sector, providing tailored debt solutions to mid-sized enterprises. The group comprises two primary businesses: Vivriti Capital Limited: This is a systematically important Non-Banking Financial Company (NBFC ND-SI) that is regulated by the Reserve Bank of India (RBI). Vivriti Capital has successfully disbursed over USD 3 billion to more than 300 enterprise borrowers and boasts a CRISIL rating of A+. Vivriti Asset Management: This segment operates as a fixed-income fund manager, overseeing multiple Alternative Investment Funds (AIFs). With commitments exceeding USD 550 million from over 900 institutional and private contributors, Vivriti AMC has invested upwards of USD 600 million across 90 entities. In the role of Manager - AI Product, based in Chennai or Bangalore, you will be responsible for the complete lifecycle management of AI/ML products geared towards wholesale lending. This includes overseeing ideation, strategy formulation, development, launch, and ongoing iteration. Your key collaborators will include data scientists, engineers, designers, credit, risk personnel, and other business stakeholders to ensure that our AI initiatives align with user requirements and business objectives. Your primary responsibilities will include defining and executing the AI product roadmap in partnership with leadership and cross-functional teams, converting business challenges into precise AI/ML product requirements, collaborating with data experts and engineers to establish success metrics and model evaluation frameworks, prioritizing product enhancements based on user feedback, data insights, and business impact, ensuring model performance, explainability, fairness, and compliance with ethical guidelines, driving experimentation and iteration for continuous enhancement, acting as a bridge between engineering, data science, design, and stakeholders to secure timely and high-quality delivery, and keeping abreast of emerging AI trends, technologies, and industry best practices. You will also be tasked with championing a user-centric design approach in collaboration with UX/UI designers to craft intuitive, efficient, and engaging user experiences for complex financial workflows. Additionally, you will define key performance indicators (KPIs) for product success and provide regular performance updates to stakeholders. As for requirements, the ideal candidate should possess up to 3 years of product management experience, particularly with AI/ML-based products, a fundamental grasp of machine learning concepts, model lifecycle, and data infrastructure, a track record of translating intricate technical requirements into scalable product solutions, familiarity with MLOps, model evaluation metrics, and deployment pipelines, exceptional communication and stakeholder management abilities, and experience with agile product development and related tools such as Jira, Confluence, Figma, and GitHub. Desired but not mandatory qualifications include hands-on experience with data analysis tools like SQL, Python, Jupyter, exposure to LLMs, generative AI, or AI applications in NLP, computer vision, or recommendation systems, a background in computer science, engineering, data science, or related fields, and prior exposure to startup or high-growth environments.,

As a Machine Learning Engineer, you will be responsible for developing new features and models for our core product through applied research. Your main focus will be to understand, apply, and extend state-of-the-art NLP research to enhance customer experience. Working closely with the engineering, product, and customer teams, you will scientifically frame business problems and develop AI models to address them effectively. Your role will involve designing, implementing, testing, deploying, and maintaining innovative data and machine learning solutions to drive business growth. You will be expected to think creatively to identify new opportunities and contribute to high-quality publications or patents. To be successful in this position, you should have at least 1 year of professional experience and hold a Bachelor's degree in Computer Science or a related field from a reputable institution. You should possess extensive knowledge and practical experience in areas such as machine learning, deep learning, NLP, recommendation systems, and information retrieval. Prior experience in applying ML to solve complex business problems from scratch is essential. Proficiency in Python and a deep learning framework like PyTorch or TensorFlow is required. Additionally, you should have a good understanding of the latest research trends in the NLP community. Strong verbal and written communication skills, along with excellent presentation abilities, are also necessary for this role. If you are passionate about leveraging machine learning to drive innovation and have a keen interest in NLP research, this role offers an exciting opportunity to contribute to cutting-edge projects and make a meaningful impact.,

We are in search of an AI/ML Full Stack Engineer who will be responsible for implementing end-to-end, AI-powered solutions. Your primary responsibilities will include: Building & Integrating AI Solutions: Developing, training, and maintaining machine learning models such as NLP and recommendation engines for personalized product recommendations and conversational interfaces. Implementing scalable pipelines to process and analyze large datasets including product data, user interactions, and logs. Full Stack Development: Designing REST or GraphQL APIs to enable real-time conversational interactions. Creating frontend components using React, Vue.js, or similar technologies to incorporate chat widgets, voice interfaces, and AI-driven product discovery features. Optimizing backend services in Node.js, Python, or Go for enhanced performance and reliability to ensure seamless customer experiences across web and mobile platforms. Conversational Flow & Orchestration: Collaborating with Product and UX teams to design user-centric conversational flows that align with brand voice. Evaluating and integrating state-of-the-art NLP libraries and frameworks such as SpaCy, Hugging Face Transformers, Rasa, and LangChain for intent detection, sentiment analysis, and context management. Data Engineering & Infrastructure: Working with DevOps to deploy models and services on cloud platforms like AWS, GCP, or Azure using container orchestration tools like Docker and Kubernetes. Implementing CI/CD pipelines for smooth deployments and continuous model updates. Ensuring robust data security and privacy in compliance with relevant regulations such as GDPR and CCPA. Cross-Functional Collaboration: Partnering with product managers, designers, and other engineers to define technical solutions that enhance user experiences and scale effectively. Participating in code reviews, architectural planning, and knowledge-sharing sessions. In terms of qualifications, we are looking for someone with: Hands-on experience in AI/ML, particularly in NLP and recommendation systems. Proficiency in a modern backend language (Python, Node.js, Go, or Java) and familiarity with frontend frameworks like React, Vue.js, or Angular. Experience with cloud services for deploying and scaling AI applications, as well as knowledge of database technologies and data warehousing solutions. Understanding of ML Ops practices such as model versioning, A/B testing, monitoring, and retraining pipelines. Moreover, expertise in Conversational AI & NLP, and a Full Stack Mindset will be highly valued. Additionally, any knowledge in eCommerce, recommendation systems, or retail AI solutions, exposure to LangChain, LLM fine-tuning, or generative AI approaches, and a background in UI/UX or conversational design best practices would be considered a bonus. This is a full-time position based in Hosur, Tamil Nadu, and the expected start date is 30/07/2025. Join us in a fast-paced environment where you can enhance your ML and full stack skills.,

You are an experienced Lead Data Scientist with a minimum of 8 years of professional experience, including at least 6 years in a data science role. Your expertise lies in statistical modeling, machine learning, deep learning, and GenAI. Proficiency in Python is a must, along with hands-on experience in optimizing code for performance. You excel in data preprocessing, feature engineering, data visualization, hyperparameter tuning, and have a solid understanding of database concepts, especially while working with large datasets. You have experience deploying and scaling machine learning models in a production environment, along with familiarity with machine learning operations (MLOps) and related tools. Your knowledge extends to Generative AI concepts and LLM finetuning, supported by excellent communication and collaboration skills. Your responsibilities as a Lead Data Scientist include guiding and mentoring a high-performance team on the latest technology landscape, patterns, and design standards. You provide strategic direction and technical leadership for AI initiatives, leading the design and architecture of complex AI systems. Your role involves developing and deploying machine learning/deep learning models to address key business challenges, applying various techniques in statistical modeling, data preprocessing, feature engineering, and more. You are proficient in areas such as computer vision, predictive analytics, natural language processing, time series analysis, and recommendation systems. Furthermore, you design and optimize data pipelines for model training and deployment, utilizing model serving frameworks and APIs for integration with other systems. Your qualifications include a Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Your primary skills encompass Python, Data Science concepts, Pandas, NumPy, Matplotlib, Artificial Intelligence, Statistical Modeling, Machine Learning, Natural Language Processing (NLP), Deep Learning, Model Serving Frameworks, MLOps, Computer Vision, Predictive Analytics, Time Series Analysis, Anomaly Detection, Recommendation Systems, Generative AI, and proficiency in Cloud Computing Platforms. Your secondary skills involve expertise in designing scalable and efficient model architectures, the ability to assess and forecast financial requirements of data science projects, and strong communication skills for conveying technical concepts to stakeholders. As a Lead Data Scientist, you stay updated with the latest advancements in data science and machine learning, particularly in generative AI, to evaluate their potential applications and serve as a primary point of contact for client managers.,

About Vivriti Group Vivriti Group is a trailblazer in the mid-market lending space, offering customized debt solutions to mid-sized enterprises. The group operates through two core businesses: Vivriti Capital Limited, a systematically important Non-Banking Financial Company (NBFC ND-SI) regulated by the Reserve Bank of India (RBI), and Vivriti Asset Management, a fixed-income fund manager managing multiple Alternative Investment Funds (AIFs). Vivriti Capital has disbursed over USD 3 billion to 300+ enterprise borrowers with a CRISIL rating of A+. Vivriti AMC has over USD 550 million in commitments from 900+ institutional and private contributors and has invested more than USD 600 million across 90+ entities. Job Title: Manager - AI Product Location: Chennai / Bangalore Employment Type: Full-time Department: Product Management Role Overview As an AI Product Manager at Vivriti Group, you will be responsible for owning the end-to-end lifecycle of AI/ML products focused on wholesale lending. This includes activities from ideation and strategy to development, launch, and iteration. Collaboration with data scientists, engineers, designers, credit, risk, and business stakeholders is crucial to ensure that AI initiatives align with user needs and business goals. Key Responsibilities - Define and execute the AI product roadmap in collaboration with leadership and cross-functional teams. - Translate business problems into clear AI/ML product requirements. - Collaborate with data scientists and engineers to define success metrics, datasets, and model evaluation frameworks. - Prioritize product features and improvements based on user research, data analysis, and business value. - Ensure model performance, explainability, fairness, and compliance with ethical standards. - Drive experimentation, A/B testing, and iteration cycles for continuous product improvement. - Act as the liaison between engineering, data science, design, and stakeholders to ensure timely and high-quality delivery. - Stay updated on emerging AI trends, technologies, and best practices. User Experience (UX) Champion a user-centric design approach by working with UX/UI designers to create intuitive, efficient, and delightful user experiences for complex financial workflows. Performance & Metrics Define key performance indicators (KPIs) for product success and provide regular reports on product performance to stakeholders. Requirements Must-Have: - Up to 3 years of product management experience, preferably with AI/ML-based products. - Basic understanding of machine learning concepts, model lifecycle, and data infrastructure. - Proven experience in translating complex technical requirements into scalable product solutions. - Familiarity with MLOps, model evaluation metrics, and deployment pipelines. - Exceptional communication and stakeholder management skills. - Experience with agile product development and tools (e.g., Jira, Confluence, Figma, GitHub). Nice-to-Have: - Hands-on experience with data analysis tools (e.g., SQL, Python, Jupyter). - Experience with LLMs, generative AI, or AI applications in NLP, computer vision, or recommendation systems. - Background in computer science, engineering, data science, or a related field. - Prior startup or high-growth environment experience.,

You will be responsible for developing new features and models as part of the core product through applied research. Your main task will be to understand, apply, and extend state-of-the-art NLP research to enhance customer experience. Collaboration with engineering, product, and customers is crucial to scientifically frame business problems and develop underlying AI models. Your role will also involve designing, implementing, testing, deploying, and maintaining innovative data and machine learning solutions to drive business growth. Additionally, you will be expected to think creatively to identify new opportunities and contribute to high-quality publications or patents. To be successful in this role, you should have at least 1 year of professional experience and hold a Bachelor's degree in Computer Science or a related field from a reputable institution. Your expertise should include practical experience in areas such as machine learning, deep learning, NLP, recommendation systems, and information retrieval. You must have experience in applying machine learning to solve complex business problems from scratch. Proficiency in Python and a deep learning framework like PyTorch or TensorFlow is essential. Furthermore, you should stay updated on the latest research trends in the NLP community. Strong verbal and written communication skills, as well as effective presentation abilities, are also important for this position.,