50 Recommender Systems Jobs

As a Senior Machine Learning/AI Manager at CDK, you will lead and mentor a team of scientists and engineers to deliver high-quality ML/AI solutions. You will own the full ML lifecycle from data exploration and feature engineering to model deployment and monitoring. Your role will involve architecting and implementing models for recommendation systems, classification, forecasting, and generative AI use-cases. Collaborating cross-functionally with product, engineering, and MLOps teams will be crucial to translate business needs into scalable ML solutions. Utilizing LLMs and Retrieval-Augmented Generation (RAG) to build intelligent customer experiences will be a key aspect of your responsibilities. Additionally, you will champion model performance, interpretability, and reproducibility across varied domains. Your contribution to reusable AI/ML tooling, pipelines, and best practices will play a significant role in improving development velocity. **Key Responsibilities:** - Lead and mentor a team of scientists and engineers - Own the full ML lifecycle - Architect and implement models for various AI use-cases - Collaborate cross-functionally with product, engineering, and MLOps teams - Leverage LLMs and Retrieval-Augmented Generation - Champion model performance, interpretability, and reproducibility - Contribute to reusable AI/ML tooling and best practices **Qualifications Required:** - Masters or PhD in Computer Science, Machine Learning, Statistics, or related field - 5+ years of hands-on experience developing and deploying ML models at scale - 2+ years of experience managing or mentoring data scientists or ML engineers - Proficiency in Python and familiarity with languages like Java - Solid foundation in ML techniques including regression, classification, deep learning, and collaborative filtering - Experience with model deployment tools and cloud ML platforms - Strong communication skills; ability to present complex ideas to technical and non-technical stakeholders At CDK, inclusion and diversity are fundamental values that inspire meaningful connections to people, customers, and communities. The company fosters an open, curious environment that encourages different views, allowing everyone to be their best selves and make a positive impact.,

• Proficiency with Python (Pandas, NumPy), SQL, and Java. • Experience with LLMs, Lang Chain, and Generative AI technologies. • Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka). • Microservices, CI CD, ML Required Candidate profile • Machine Learning, NLP, Recommender system, personalization, Segmentation, microservice architecture & API development • Data engineering concepts like data lakes, columnar formats, ETL & BI tools

As a Software Engineer III at JPMorganChase within the AI/ML & Data Platform team, you will play a critical role in designing and delivering market-leading technology products. Here's a summary of what you can expect in this role: **Role Overview:** You will be a seasoned member of an agile team, responsible for executing software solutions, design, development, and technical troubleshooting. Your role involves creating secure and high-quality production code, maintaining algorithms, and producing architecture and design artifacts for complex applications. Additionally, you will gather, analyze, synthesize, and develop visualizations and reporting from large data sets to drive continuous improvement of software applications and systems. **Key Responsibilities:** - Execute software solutions with innovative approaches - Create secure and high-quality production code - Produce architecture and design artifacts for complex applications - Gather, analyze, synthesize, and develop visualizations and reporting from large data sets - Identify hidden problems and patterns in data for system improvements - Contribute to software engineering communities of practice and events - Foster a team culture of diversity, opportunity, inclusion, and respect **Qualifications Required:** - Formal training or certification in AI/ML concepts with 3+ years of applied experience - Hands-on experience in programming languages, particularly Python - Ability to apply data science and machine learning techniques to address business challenges - Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs) - Expertise in deep learning frameworks such as PyTorch or TensorFlow - Strong communication skills and demonstrated leadership in collaborating effectively with team members Please note that the job description does not include any additional details about the company.,

As a Software Engineer III at JPMorganChase within the AI/ML & Data Platform team, you will play a crucial role in designing and delivering trusted technology products in a secure, stable, and scalable manner. Your responsibilities will involve executing software solutions, troubleshooting technical issues, and creating secure production code that aligns with design constraints. Additionally, you will be involved in analyzing and synthesizing data sets to drive continuous improvement in software applications. **Key Responsibilities:** - Execute software solutions, design, development, and technical troubleshooting with innovative approaches - Create secure and high-quality production code, maintaining algorithms for synchronous operation - Produce architecture and design artifacts for complex applications, ensuring design constraints are met - Analyze and synthesize data sets to develop visualizations and reporting for software applications enhancement - Identify hidden problems and patterns in data to drive improvements in coding hygiene and system architecture - Contribute to software engineering communities of practice and events exploring new technologies - Foster a team culture of diversity, opportunity, inclusion, and respect **Qualifications Required:** - Formal training or certification in AI/ML concepts with a minimum of 3 years of applied experience - Hands-on experience in programming languages, especially Python - Ability to apply data science and machine learning techniques to solve business challenges - Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs) - Expertise in deep learning frameworks like PyTorch or TensorFlow, and advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, and RAG (Similarity Search) - Capable of completing tasks independently with minimal supervision, demonstrating attention to detail and follow-through - Excellent communication skills, team player, and proven leadership in collaborating with engineers, product managers, and ML practitioners *Note: Preferred qualifications, capabilities, and skills are not provided in the job description.*,

As an AI Model Validation Engineer at Leadsoc Technologies in Hyderabad, you will be responsible for validating AI models with a strong background in machine learning fundamentals. Your expertise in deep learning, large language models, and recommender systems within the embedded domain will be essential for this role. To excel in this position, you must possess a solid understanding of validation processes, defects, and the software development life cycle. Proficiency in Ubuntu/Yocto Linux is crucial, along with experience working with open-source frameworks such as PyTorch, TensorFlow, and ONNX-Runtime. Your role will also involve profiling ML workloads and executing validation plans for AI/ML compute stacks like HIP, CUDA, OpenCL, and OpenVINO. Strong python programming skills are a must-have for this position. Ideally, you should have 3-6 years of relevant experience in the field and be available to join with a notice period of less than 15 days. If you are passionate about AI model validation and possess the required skills, we look forward to having you on our team at Leadsoc Technologies. Warm regards, Murali,

As a Machine Learning Engineer at Mercari, you will play a crucial role in developing and enhancing the functions and services of the Mercari marketplace app by working on machine learning systems, specifically in the Recommendation domain. Your responsibilities will include developing and optimizing machine learning algorithms and models to improve the recommendation system, collaborating with cross-functional teams to implement features that enhance user engagement, conducting data analysis to refine recommendation algorithms, and deploying scalable recommendation solutions using machine learning frameworks and libraries. Mercari, a Japan-based C2C marketplace company with a global presence, values boldness, teamwork, professionalism, and agility among its employees. As part of the India Center of Excellence, you will have the opportunity to work in a diverse and inclusive environment where innovative ideas are welcomed, and continuous learning is encouraged. The company's culture, outlined in the Mercari Culture Doc, emphasizes sustainability, diversity & inclusion, trust & openness, and well-being for performance, making it an ideal place for individuals seeking a dynamic and growth-oriented work environment. To excel in this role, you should have over 5 years of experience in developing large-scale machine learning systems in production, a deep understanding of machine learning fundamentals, and proficiency in using machine learning frameworks such as TensorFlow and PyTorch. Preferred skills include experience in developing Recommender systems, working with enterprise search systems, and utilizing technologies like Docker, Kubernetes, and cloud platforms. Mercari promotes a hybrid workstyle, allowing employees to work from the office in Bangalore for 2 days a week and from home for 3 days a week. The company values flexibility in work hours and encourages employees to choose their working hours outside of team meetings. By joining Mercari in Bangalore, you will be part of a high-performing team dedicated to creating a safe and secure marketplace experience for users worldwide. If you are passionate about leveraging advanced machine learning technology to drive innovation and enhance user experiences, Mercari offers an exciting opportunity for you to grow and make a meaningful impact in a global tech company. Join us on our mission to create value in a global marketplace where anyone can buy and sell.,

What Youll Do? Within the Sharechat AI team, we are looking for an experienced Staff ML engineer to lead the ML efforts around improving personalization models, leading efforts across 10+ MLEs and decision scientists working on feed ranking and candidate generation systems that power Sharechats recommender systems. In this role you will help us further improve our recommendation systems, and act as a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and were making big progress at a rapid pace. Who are you? * Design and help develop systems that serve recommendations to over 300 million users * Drive ML roadmap creation and execution, specifically around feed ranking and recall oriented candidate generation systems * Provide technical guidance in ML model formulation, implementation & experimentation, and take end to end ownership of ML systems, and key user satisfaction based metrics * Drive architectural strategy and design for complex ML systems that support the needs of users, creators and content stakeholders Preferred Qualifications * Hands-on experience training and serving large-scale models using frameworks such as Tensorflow or PyTorch * Experience productionising machine learning models, and managing and designing end to end ML systems, and data pipelines * Deep understanding of the mathematical foundations of Machine Learning algorithms * Direct experience in building and applying large-scale (100M+ users) machine learning solutions for feed ranking, and personalizing recommendations. * You stay up-to-date with the state-of-the-art technology in the domains of recommender systems, data engineering, and machine learning. Relevant publications in top tier applied machine learning conferences is a plus * You have a Masters or PhD in ML, statistics, or an engineering field with 8+ years of experience Where youll be? Bangalore

What Youll Do? Within the ShareChat AI team, we are hiring an experienced Staff Machine Learning Engineer to drive the development of cutting-edge ads prediction models. This IC role is central to our Ads team and will focus on end-to-end ownership of core ML modeling - training, deploying, and improving models that predict key user actions such as clicks, installs, and deeper funnel events like transactions. Beyond this, there are exciting opportunities to deploy ML in the ADs ecosystem like on the network ADs side of things as well as on balancing ad revenue with regression in user experience. This is a high-impact role with direct revenue implications, where experimentation success rates are significantly higher due to our dynamic and fast-paced environment. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and were making big progress at a rapid pace. Who are you? * Design and help develop systems that serve recommendations to over 300 million users * Drive ML roadmap creation and execution, specifically around feed ranking and recall oriented candidate generation systems * Provide technical guidance in ML model formulation, implementation & experimentation, and take end to end ownership of ML systems, and key user satisfaction based metrics * Drive architectural strategy and design for complex ML systems that support the needs of users, creators and content stakeholders Preferred Qualifications * Hands-on experience training and serving large-scale models using frameworks such as Tensorflow or PyTorch * Experience productionising machine learning models, and managing and designing end to end ML systems, and data pipelines * Deep understanding of the mathematical foundations of Machine Learning algorithms * Direct experience in building and applying large-scale (100M+ users) machine learning solutions for feed ranking, and personalizing recommendations. * You stay up-to-date with the state-of-the-art technology in the domains of recommender systems, data engineering, and machine learning. Relevant publications in top tier applied machine learning conferences is a plus * You have a Masters or PhD in ML, statistics, or an engineering field with 8+ years of experience

JD for Manager-Content Personalization & Discovery It will be a blended role between data science and content discovery. The core objective of this role will be to own content optimization of Watchos recommendation systems to enhance content discovery and watch time. Role & responsibilities Define roadmap for recommendation system (content discovery, personalization) Work with Data Science team to develop score logics for programming Balance business priorities (monetization, content promotion) with user delight in recommendations. Work with product and marketing teams to align personalization with platform growth Monitor CTR, conversion, retention, and watchtime uplift from personalization Conduct A/B testing & experiments to measure the impact of reco. Create dashboards & reporting frameworks ( PowerBI or Tableau) to track performance Preferred candidate profile 6-8 years experience in Product/Analytics roles, within OTT, digital media or e-commerce. Exposure to personalization engines like ThinkAnalytics, MyReco etc Knowledge of big data ecosystems Knowledge of metadata systems and content tagging Knowledge of SQL, Python for analytics Understanding of the concepts of Machine Learning Previous experience in growth and cohort analysis Ability to present insights

Building off Oracle's Cloud momentum, a new organization - Oracle Health & AI has been created. The team is dedicated to product development and strategy for Oracle Health, focusing on modernized, automated healthcare. This innovative venture embodies an entrepreneurial spirit, fostering an energetic and creative environment. Your contribution is vital in establishing this organization as a world-class engineering center with a strong emphasis on excellence. Within the overarching Oracle Health & AI organization, the Oracle Digital Assistant (ODA) serves as an Assistant platform enabling developers to craft skills and digital assistants using Conversational AI and Generative AI capabilities in a low-code paradigm. The ODA team has been driving conversational AI experiences for both internal Oracle teams and external customers for the past 7 years. The team is evolving rapidly to offer Generative AI solutions for healthcare and enterprise sectors, operating in an agile environment with significant visibility and support from senior leadership. We are seeking ML scientists, Data Engineers, Software Development Engineers, Product/Program Managers, and ML engineers with a robust machine learning background to develop cutting-edge solutions. Your role involves working with extensive datasets to address real-world challenges in the Healthcare domain, which will be integrated into our Health AI products. These newly formed teams based in the India Center will be engaged in New Feature Development, Software Development, ML Engineering, MLOps, LLMOps, Applied ML Sciences, and ML Research, with a primary focus on GenAI capabilities. Your involvement will be crucial in delivering innovative Generative AI-powered solutions for healthcare and enterprise clients. Qualifications: - Bachelor's Degree with relevant experience; Master's degree - Experience in real-world MLOps deploying models into production and enhancing product features - Proficiency in working within a cloud environment - 3+ Years of Experience - Strong understanding of LLMs, GenAI, Prompt Engineering, and Copilot Career Level - IC3 Responsibilities: - Proficient in Python programming and a Deep Learning framework (PyTorch, MXNet, TensorFlow, Keras) with knowledge of LLMs, LLMOps, and Generative AI to deliver as per specifications independently - Familiarity with Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, NLP, and hands-on experience in developing ML models using these techniques - Ability to utilize existing libraries and design algorithms from scratch, create data pipelines, and feature engineering pipelines for robust model building - Leveraging ML Sciences depth, programming skills, and mathematical understanding to provide advanced ML solutions for problem-solving in the Healthcare domain - Lead the selection of methods and techniques to drive solutions - Exhibit strong program management skills to multitask efficiently - Mentor and lead junior data scientists effectively - Contribute to peer reviews, team learning, achieve product objectives, and establish best practices for the organization - Extensive experience in LLM Systems, LLMOps, familiarity with Prompt Engineering, and RAG systems,

You are a skilled and experienced Senior Data Scientist with a strong focus on Natural Language Processing (NLP), recommendation engines, and neural search technologies. With over 5 years of relevant experience, you have a proven track record of developing and deploying sophisticated data-driven models and systems. In this role, you will play a critical part in shaping the future of data products and services. Your key skills include holding a BTech/BE degree, proficiency in Python, data structures, and system design. You have experience with NumPy and Pandas, and possess knowledge of neural networks such as CNN, GANs, CGAN, Transformers, RNN, and LSTM. You are adept at fine-tuning embedding models like SBERT and E5, along with experience in fine-tuning and quantizing LLMs using PyTorch/TensorFlow. Your understanding spans across natural language processing (NLP), recommender systems, part-of-speech tagging (POS), and named entity recognition (NER). Additionally, you have skills in forecasting, classification, and regression techniques. As a Senior Data Scientist, your responsibilities include creating Machine Learning (ML) models for various product needs, analyzing client data to comprehend the data and the issues, managing data changes and model performance over time, improving embedding and large language models (LLMs), enhancing retrieval-augmented generation (RAG) pipelines, and developing feedback loops for ML models. If you are ready to take on this challenging role and contribute to the innovative field of data science, we encourage you to reach out to us via email at careers@grazitti.com. You can also visit us at Plot No. 198, Industrial Area Phase II, 134113, Panchkula, Haryana, India.,

• Proficiency with Python (Pandas, NumPy), SQL, and Java. • Experience with LLMs, Lang Chain, and Generative AI technologies. • Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka). • Microservices, CI CD, ML Required Candidate profile • Machine Learning, NLP, Recommender system, personalization, Segmentation, microservice architecture & API development • Data engineering concepts like data lakes, columnar formats, ETL & BI tools

About the Role In this role you will work closely with product, engineering and sales teams to drive the use of Data Science across the Verve Group, collaborate with our audience-focused Data Science team and with the Machine Learning Engineers to engineer prototypes into solutions. What You Will Do DOMAIN In this role your main focus would be on our Ad-Exchange Optimization projects Win Price Prediction in various auctions setups - 1st price, 2nd price, Waterfall Supply forecasting Modeling time dependent supply availability Demand forecasting — Modeling time dependent demand interest Inventory valuation — Assessing true value of inventory in open market Traffic Shaping — Time dependent supply and demand matching Research and Development Our Data Science role includes the following responsibilities: Research and development of cutting edge Machine Learning systems, models, and schemes in many different areas of Adtech Develop real-time algorithms for campaign and bidding optimization Discover insights/patterns in exchange data Design experiments, oversee A/B testing, evaluate the quality of derived assets and continuously monitor model performance Create proof of concepts and data science prototypes Search and select appropriate data sets Perform statistical analysis and use results to improve models Identify differences in data distribution that could affect model performance in real-world situations Visualize data for deeper insights Analyze the use cases of ML algorithms and ranking them by their success probability Understanding when your findings can be applied to business decisions Reducing business problems into optimization problems Verifying data quality Job requirements What You Will Bring 5+ years experience working as a Data Scientist in industry (preferably in advertising) is a must A postgraduate degree in a relevant quantitative field (e.g. applied mathematics, statistics, engineering, computer science, physics, operations research, economics, behavioral sciences). PhD is a strong plus, Fluent in statistical analysis, data mining, and machine learning, Proficient in Python, SQL, PySpark, TensorFlow, Sklearn, Enthusiasm for solving interesting problems, Willingness to learn and work in a team-oriented and constantly changing environment. Nice to have Previous experience in - Auction optimization - Highly imbalanced classification problems - Game theory - Time series forecasting - State-space modeling - Function-Approximation Algorithms What we also work with We work with a wide range of tools, technologies and processes. The right candidate should have willingness to learn new technologies. In this role is you will get hands-on experience with many established and emerging technologies: Technologies: GCP and AWS, BigQuery, DevOps tooling: CI/CD, Docker, Airflow, Kubernetes, Grafana, Jupyterhub Other: Challenging constraints (high volume, low latency), Integrating with high performance technologies, Efficient work with Big Data (wrangling, modeling, low latency inference), Developing data-driven products.

The role of Manager - Data Scientist requires a minimum of 6+ years of experience in NLP/GenAI/Recommender Systems, with a significant focus on developing enterprise-grade solutions. You should have expertise in handling large datasets and performing data preprocessing on cloud platforms. Your responsibilities will include developing generative AI applications, such as prompt engineering and Retrieval-Augmented Generation (RAG) applications. You should possess a strong understanding of LLM concepts and hands-on experience in utilizing LLMs for POCs and problem-solving, integrating them into the solution workflow. Additionally, you should have practical experience in building various types of recommender systems, such as content-based, collaborative filtering, or hybrid approaches. Proficiency in Python programming is essential for this role, and experience with PySpark is considered a plus. Knowledge of Azure Cloud is mandatory. Effective communication skills are crucial, as you will be required to clearly articulate data science outcomes. Experience with version control systems like Git and familiarity with CI/CD practices, as well as developing/consuming RESTful API, would be advantageous. Preferred qualifications for this role include familiarity with popular recommender system-related algorithms like ALS, KNN, and LightFM. Knowledge of transformer architecture and different types of LLMs (encoder-only, encoder-decoder, and decoder-only) is desirable. Having some hands-on experience in solving NLP problems with or without GenAI would be a beneficial addition to your profile.,

Enhancor is a customer service firm specializing in outsourced accounting, regulatory compliance, information technology, and financial services for real estate and property management companies based in the U.S. With offices in New York and Pune, Enhancor provides 24/7, around-the-clock resources to its clients. The Enhancor team has experience interfacing with some of the largest property managers in the world, providing services to multi-family operators, including those with more than $7 billion in real estate assets. We are looking for a Senior AI & Python Developer to lead the design and development of AI-powered features across our platform. You will play a pivotal role in building scalable machine learning systems and integrating AI into our core product offerings. This is an exciting opportunity to work in a fast-paced, innovation-driven environment where your work directly impacts thousands of users. Key Responsibilities: - Design and implement scalable automation frameworks and tools to streamline business and engineering processes. - Lead the development and deployment of machine learning models and AI services tailored for our SaaS platform. - Work closely with cross-functional teams to identify opportunities for automation and streamline workflows to improve process efficiency. - Architect, write, and maintain clean, efficient Python code for AI pipelines and microservices. - Work with large datasets: data preprocessing, model training, evaluation, and optimization. - Drive the implementation of AI/ML features such as predictive analytics, intelligent recommendations, and automated decision-making. - Ensure robust monitoring, testing, and CI/CD practices for AI models in production. - Guide and mentor junior team members on AI best practices and coding standards. - Stay current with the latest AI research and industry trends and evaluate their relevance for product innovation. - Continuously evaluate and optimize existing processes to improve performance, reduce costs, and enhance scalability. Requirements: - Bachelors or masters degree in computer science, Data Science, Artificial Intelligence, or a related field. - 5+ years of professional experience in Python development. - 3+ years of hands-on experience in machine learning, deep learning, or applied AI. - Preferred experience supporting in the real estate and property management industry. - Proven track record of deploying ML models in production environments, preferably for SaaS applications. - Familiarity with ML Ops, model lifecycle management, and data versioning tools (e.g., MLflow, DVC). - Excellent problem-solving skills and the ability to work independently in a dynamic team environment. - Experience with generative AI (e.g., GPT, LLM fine-tuning or prompt engineering). - Background in NLP, computer vision, or recommender systems. - Experience working in Agile environments with tools like Jira, Confluence, or Notion.,

You will be working as a Gen AI/ ML Data Scientist at Quadratyx, a global product-centric insight & automation services company. Your role will involve developing machine learning models for recommendation systems and NLP projects to provide actionable insights for product and service optimization. Additionally, you will be responsible for building and maintaining scalable ETL pipelines, optimizing data storage solutions, and ensuring data accuracy for analytics. Your skills in analyzing complex datasets to uncover trends and patterns will be crucial in generating insights that drive strategic decisions and enhance client services. Collaborating with product and service teams to understand data needs and translate them into technical solutions will also be a key aspect of your role. As a Gen AI/ ML Data Scientist, you will report to the Project Manager and work closely with stakeholders to deliver AI & Data Science Enterprise projects. Your technical skills should include proficiency in Python (Pandas, NumPy), SQL, and Java, along with experience in LLMs, Lang Chain, Generative AI technologies, ML frameworks (TensorFlow, PyTorch), and data engineering tools (Spark, Kafka). Strong data analysis skills, the ability to present findings to technical and non-technical stakeholders, and a good understanding of data engineering concepts are essential for this role. Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture, and API development will also be beneficial. To qualify for this position, you must have a Bachelor's Degree in Computer Science, Data Analytics, Engineering, or a related field, along with 4 to 6 years of experience in data science and data engineering. Strong critical thinking abilities, motivation, work ethic, maturity, personal initiative, and excellent oral and written communication skills are required. You should be adaptable to a fast-paced, dynamic work environment and demonstrate the ability to learn new technologies quickly. Quadratyx is an equal opportunity employer, and candidates will not be differentiated based on religion, caste, gender, language, disabilities, or ethnic group. The company reserves the right to place/move any candidate to any location globally, partner location, or customer location in the best interest of Quadratyx business. If you are interested in this opportunity, kindly email your profile to jobs@quadratyx.com.,

You should have hands-on experience working with Marketing Domain datasets and at least 2 years of applicable work experience in Machine Learning. With 5+ years of hands-on experience in Snowflake and 2+ years of experience on Generative AI projects, you should also possess proficiency with the Python Machine Learning stack, including Pandas, and knowledge of experimental design and analysis of results. Demonstrating experience in applying Machine Learning, both Deep Learning (PyTorch) and Classical ML (Scikit-Learn), is essential. Furthermore, you should have experience in leading Machine Learning teams to deploy and enhance ML features in production and collaborating in cross-functional teams to deliver ML solutions at scale. Familiarity with Large Language Models, particularly in interactive dialog systems and chatbots, as well as experience deploying NLP systems like Information Retrieval (IR) and Recommender Systems (RecSys) are crucial. Preferred qualifications include proficiency in SQL and experience with big data technologies such as Hive, Presto, Glue, (Py)Spark, or Athena. Advanced software engineering skills, including data structures and algorithms, are desired. Experience in data pipelines and model serving in AWS, as well as MLOps on AWS at scale, is an advantage. Familiarity with AWS Cloud Formation templates, Agile and SCRUM methodologies, and working with PowerBI to develop dashboards are considered positives. Additionally, analytical skills related to unstructured datasets, a successful track record of extracting value from large, disconnected datasets, and experience working with agile, globally distributed teams are beneficial.,

It is exciting to be part of a company where individuals wholeheartedly BELIEVE in the mission! The company is dedicated to bringing enthusiasm and a customer-centric approach to the operations. As a Data Scientist, you will be required to work on the end-to-end data science pipeline, demonstrating the ability to meticulously design efficient data models, training data samples, training pipelines, and inference pipelines to ensure reproducibility. You should possess a strong background in evaluating various AI/ML outputs and models such as recommender systems, similarity scoring, classification, and regression. Your role will involve breaking down complex business challenges into manageable sub-tasks that can be addressed with AI/ML solutions to facilitate decision-making at scale. A solid understanding of statistical concepts and empirical methods that influence post-modeling decisions like sorting, ranking, and selection is essential. You must have substantial experience in transitioning Proof of Concepts (PoCs) and experimental models into production-grade AIML systems. Collaborating effectively with ML engineering and MLOps teams is crucial to deploying AI/ML models, constructing and serving models through APIs, and integrating AI/ML models into web applications. The role requires the ability to lead mid-sized teams, strategize project tracks centered around AI/ML and data science, and strike a balance between delegation and hands-on development. Applying a first-principles approach to tackle data science problems, communicating data requirements to data engineering teams, and elucidating model outputs to business users are key responsibilities. Engaging with business users to comprehend requirements and translating them into technical data science challenges is imperative. Effectively communicating and translating model algorithms and outputs to non-technical users and stakeholders is expected. Proficiency in agile methodologies and project management practices is essential. Creating efficient user stories and other agile project artifacts should come naturally. If you thrive in a dynamic environment and enjoy collaborating with enthusiastic high-achievers, a rewarding career opportunity awaits you here! If this opportunity does not align with your current aspirations, please express your interest in future openings by clicking on Introduce Yourself in the top-right corner of the page or setting up email alerts for relevant job postings.,

The Machine Learning Engineer / Data Scientist (Generative AI & Data Engineering) position based in Gurgaon/NCR requires 3 to 5 years of experience in AI & Data Science Enterprise Delivery. As a Team Manager, your primary responsibility will be to manage client expectations and collaborate with stakeholders to fulfill customer requirements. Your duties will encompass various aspects of Data Science, including developing machine learning models to support recommendation systems and NLP projects. You will be tasked with providing actionable insights to optimize products and services. In Data Engineering, your role involves building and maintaining scalable ETL pipelines, optimizing data storage solutions, and ensuring data accuracy and reliability for analytics. Moreover, you will analyze complex datasets to identify trends and patterns, generating insights that drive strategic decisions and enhance client services. Collaborating with product and service teams, you will translate data needs into technical solutions. You will report to the VP Business Growth and engage with external stakeholders, primarily clients. Your technical skills should include proficiency in Python (Pandas, NumPy), SQL, and Java, along with experience in LLMs, LangChain, Generative AI technologies, ML frameworks (TensorFlow, PyTorch), and data engineering tools (Spark, Kafka). Soft skills such as the ability to work independently or in a team, excellent communication, critical thinking, problem-solving abilities, and a proactive approach in dynamic environments are essential. Academic qualifications entail a Bachelor's Degree in Computer Science, Data Analytics, Engineering, or a related field, with 3 to 5 years of experience in Data Science and Data Engineering. Proficiency in key data engineering concepts and strong communication skills are crucial for success in this role.,

As an AI Engineer & Validation at Leadsoc Technologies in Hyderabad, you will be responsible for leveraging your skills in machine learning fundamentals, including deep learning, large language models, and recommender systems. Your role will involve having a strong background in validation, defect analysis, and the software development life cycle. Additionally, you should possess a solid knowledge of Ubuntu and Yocto Linux systems. To excel in this position, you must have experience working with open-source frameworks like PyTorch, TensorFlow, and ONNX-Runtime. Proficiency in profiling ML workloads and executing validation plans for AI/ML compute stacks such as HIP, CUDA, OpenCL, and OpenVINO will be crucial for success in this role. A strong background in Python programming is essential for effectively carrying out your responsibilities. Ideally, you should have 3-6 years of experience in the field and be able to join the team with a notice period of 0-15 days. If you are passionate about AI engineering and validation and possess the required skills and experience, we encourage you to apply and be a part of our dynamic team at Leadsoc Technologies. Thank you for considering this opportunity. Best regards, Murali,

The ideal candidate for this position should possess a Bachelor's/Master's/PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research, or a related technical field. You should have a minimum of 7 years of relevant work experience in a similar role, particularly as a data scientist or Statistician, developing predictive analytics solutions for various business challenges. Your functional competencies should include advanced knowledge of statistical techniques, machine learning algorithms, data mining, and text mining. You must have a strong programming background and expertise in building models using languages such as SAS, Python, or R. Additionally, you should excel in storytelling and articulation, with the ability to translate analytical results into clear, concise, and persuasive insights for both technical and non-technical audiences. Experience in working with large datasets, both structured and unstructured, is crucial, along with the capability to comprehend business problems and devise optimal data strategies. Your responsibilities will encompass providing solutions for tasks like Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, and Price Optimization. It would be advantageous if you have experience working with big data platforms such as Hadoop, Hive, HBase, Spark, etc. The client you will be working with is a rapidly growing VC-backed on-demand startup that aims to revolutionize the food delivery industry. The team values talent, ambition, smartness, passion, versatility, focus, hyper-productivity, and creativity. The primary focus is on ensuring exceptional customer experience through superfast deliveries facilitated by a smartphone-equipped delivery fleet and custom-built routing algorithms. The company operates in eight cities across India and has secured substantial funding to support its expansion. If you meet the qualifications and are excited about the opportunity to contribute to this innovative venture, please share your updated profile at poc@mquestpro.com.,

Senior Machine Learning Engineer - Recommender Systems Join our team at Thomson Reuters and contribute to the global knowledge economy. Our innovative technology influences global markets and supports professionals worldwide in making pivotal decisions. Collaborate with some of the brightest minds on diverse projects to craft next-generation solutions that have a significant impact. As a leader in providing intelligent information, we value the unique perspectives that foster the advancement of our business and your professional journey. Are you excited about the opportunity to leverage your extensive technical expertise to guide a development team through the complexities of full life cycle implementation at a top-tier companyOur Commercial Engineering team is eager to welcome a skilled Senior Machine Learning Engineer to our established global engineering group. We're looking for someone enthusiastic, an independent thinker, who excels in a collaborative environment across various disciplines, and is at ease interacting with a diverse range of individuals and technological stacks. This is your chance to make a lasting impact by transforming customer interactions as we develop the next generation of an enterprise-wide experience. About the Role: As a Senior Machine Learning Engineer, you will: Spearhead the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business, product, and recommender system objectives. Create machine learning solutions that are scalable, dependable, and secure. Craft and sustain technical outputs such as design documentation and representative models. Contribute to the establishment of machine learning best practices, technical standards, model designs, and quality control, including code reviews. Provide expert oversight, guidance on implementation, and solutions for technical challenges. Collaborate with an array of stakeholders, cross-functional and product teams, business units, technical specialists, and architects to grasp the project scope, requirements, solutions, data, and services. Promote a team-focused culture that values information sharing and diverse viewpoints. Cultivate an environment of continual enhancement, learning, innovation, and deployment. About You: You are an excellent candidate for the role of Senior Machine Learning Engineer if you possess: At least 5 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems, to enhance user efficiency, reliability, and consistency. A profound comprehension of data processing, machine learning infrastructure, and DevOps/MLOps practices. A minimum of 2 years of experience with cloud technologies (AWS is preferred), including services, networking, and security principles. Direct experience in machine learning and orchestration, developing intricate multi-tenant machine learning products. Proficient Python programming skills, SQL, and data modeling expertise, with DBT considered a plus. Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras, and other relevant ML libraries. Experience in leading and supporting engineering teams. Robust background in crafting data science and machine learning solutions. A creative, resourceful, and effective problem-solving approach. #LI-FZ1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Associate Consultant, Customer Success, BHCA: Customer Success Associate Consultant design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to drive impact on client business (topline). This person will lead the engagement for AI based SaaS product deployment to clients across industries. Leverage their strong Data Science, analytics and engineering skills to build Advanced analytics processes, build scalable and operational process pipelines and find data-driven insights that help our clients solve their most important business problems and bring optimizations. Associate Consultants also engage with Project Leadership team and clients to help them understand the insights, summaries, implications and make plans to act on them. What Youll Do: Deep analytics-tech expertise: Develop and implement advanced algorithms that solve complex business problems in a computationally efficient and statistically effective manner leveraging tools like PySpark, Python, SQL on Client/ZS cloud environment Execute statistical and data modelling techniques (e.g. hypothesis testing, A/B Testing setup, marketing impact analytics, statistical validity etc.) on large data sets to identify trends, figures and other relevant information with scalable and operational process implementations. Evaluating emerging datasets and technologies that may contribute to our analytical platform including good understanding of Generative AI capabilities and SaaS products. Communication, collaboration, unstructured problem solving and client engagement (in a high performing and high intensity team environment): Problem solving and Client engagement : Understand client business priorities, develop product use cases, do proforma analysis for estimating business opportunity, and deploy the use case for the clients. Collaboration: Work in a cross-functional team environment to lead the client engagement and collaborate on holistic solutions comprising of best practices from Frontend and Backend engineering, Data Science, and ML Engineering area. Storyboarding impact communication : Build effective storyboards to communicate solution impact to clients and ZS Leadership Scaling mindset: Provide a structure to client engagement, build and maintain standardized and operationalized Quality Checks on teams work and ensuring high quality client deliverables Team management : Export best practices and learnings to broader team and mentor Associates on teams What Youll Bring: Bachelor's degree in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytics and quantitative coursework is required Knowledge of programming - Python (Deep Expertise), Pyspark, SQL Expertise in machine learning, regression, clustering, and classification models (preferably in a product environment) Knowledge of big data/advanced analytics concepts and algorithms (e.g. social listening, recommender systems, predictive modeling, etc.) Excellent oral and written communication skills Strong attention to detail, with a value-addition mindset Excellent critical thinking and problem-solving skills High motivation, good work ethic and maturity. 3-5 years of relevant post-collegiate work experience, preferably in industries like B2C, Product companies, in execution roles focused on Data Decision Sciences, Data Engineering, Stakeholder management and building scalable processes. Should have hands on analytics experience where the candidate has worked on the algorithms / methodology from scratch and not merely executed existing codes and processes. Ability to coach, mentor juniors on the team to drive on the job learning expertise building

As an Applied AI/GenAI ML Director within the Asset and Wealth Management Technology Team at JPMorgan Chase, you will provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances. This role will focus on establishing and nurturing common capabilities, best practices, and reusable frameworks, creating a foundation for AI excellence that accelerates innovation and consistency across business functions. Your responsibilities will include establishing and promoting a library of common ML assets, including reusable ML models, features stores, data pipelines, and standardized templates. You will lead efforts to create shared tools and platforms that streamline the end-to-end ML lifecycle across the organization. Additionally, you will create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques, and gain experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipelines. You will advise on the strategy and development of multiple products, applications, and technologies, serving as a lead advisor on the technical feasibility and business need for AIML use cases. Furthermore, you will liaise with firm-wide AI ML stakeholders, translating highly complex technical issues, trends, and approaches to leadership to drive the firm's innovation and enable leaders to make strategic, well-informed decisions about technology advancements. You will also influence across business, product, and technology teams and successfully manage senior stakeholder relationships, championing the firm's culture of diversity, opportunity, inclusion, and respect. To be successful in this role, you must have formal training or certification on Machine Learning concepts and at least 10 years of applied experience, along with 5+ years of experience leading technologists to manage, anticipate, and solve complex technical items within your domain of expertise. An MS and/or PhD in Computer Science, Machine Learning, or a related field is required, as well as at least 10 years of experience in one of the programming languages like Python, Java, C/C++, etc., with intermediate Python skills being a must. You should have a solid understanding of using ML techniques, especially in Natural Language Processing (NLP) and Large Language Models (LLMs), hands-on experience with machine learning and deep learning methods, and the ability to work on system design from ideation through completion with limited supervision. Practical cloud-native experience such as AWS is necessary, along with good communication skills, a passion for detail and follow-through, and the ability to work effectively with engineers, product managers, and other ML practitioners. Preferred qualifications for this role include experience with Ray, MLFlow, and/or other distributed training frameworks, in-depth understanding of Embedding based Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies, advanced knowledge in Reinforcement Learning or Meta Learning, and a deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc., is also desirable.,

As a member of the Zuddl team, you will be contributing to a modular platform for events and webinars that is trusted by event teams from global organizations like Microsoft, Google, ServiceNow, Zylo, Postman, TransPerfect, and the United Nations. Our outcome-oriented platform focuses on flexibility and aims to be more of a partner than just a vendor, allowing B2B marketers and conference organizers to tailor their events and scale their programs effectively. Zuddl, a part of Y-Combinator 2020 batch, has recently secured $13.35 million in Series A funding led by Alpha Wave Incubation and Qualcomm Ventures, with support from existing investors GrowX Ventures and Waveform Ventures. Your responsibilities will include prototyping LLM-powered features using frameworks like LangChain and OpenAI Agents SDK to enable content automation and intelligent workflows. You will also be involved in building and optimizing Retrieval-Augmented Generation (RAG) systems, working with vector databases for similarity search, experimenting with prompt engineering, deploying LLM-based microservices and agents, analyzing model metrics, and collaborating with cross-functional teams to align AI features with business needs. The ideal candidate should possess strong Python programming skills, familiarity with agentic AI frameworks, understanding of RAG architectures, experience with vector databases, and a portfolio of LLM-based projects. Additionally, capabilities in building full-stack web applications, data analytics skills, strong ML fundamentals, experience with building recommender systems, and exposure to deep learning frameworks and MLOps/DevOps tooling would be advantageous. At Zuddl, you will have the opportunity to potentially convert to a Full-Time Role based on performance, work in a culture built on trust, transparency, and integrity, be part of a fast-growing series A startup, receive a competitive stipend, work on AI-first features in an event-tech startup with global customers, and thrive in a remote-first, empowering culture driven by ownership and trust.,