44 Mllib Jobs - Page 2

Description We're on a journey to build something new a green field project! Come join our team and build new discovery and shopping products that connect customers with their vehicle of choice. We're looking for a talented Senior Applied Scientist to join our team of product managers, designers, and engineers to design, and build innovative automotive-shopping experiences for our customers. This is a great opportunity for an experienced engineer to design and implement the technology for a new Amazon business. We are looking for a Applied Scientist to design, implement and deliver end-to-end solutions. We are seeking passionate, hands-on, experienced and seasoned Senior Applied Scientist who will be deep in code and algorithms; who are technically strong in building scalable computer vision machine learning systems across item understanding, pose estimation, class imbalanced classifiers, identification and segmentation.. You will drive ideas to products using paradigms such as deep learning, semi supervised learning and dynamic learning. As a Senior Applied Scientist, you will also help lead and mentor our team of applied scientists and engineers. You will take on complex customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and industrial research or utilize your own out-of-the-box but pragmatic thinking. In addition to coming up with novel solutions and prototypes, you will directly contribute to implementation while you lead. A successful candidate has excellent technical depth, scientific vision, project management skills, great communication skills, and a drive to achieve results in a unified team environment. You should enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a bold disruptor, prolific innovator, and a reputed problem solver—someone who truly enables AI and robotics to significantly impact the lives of millions of consumers. Key job responsibilities Architect, design, and implement Machine Learning models for vision systems on robotic platforms Optimize, deploy, and support at scale ML models on the edge. Influence the team's strategy and contribute to long-term vision and roadmap. Work with stakeholders across , science, and operations teams to iterate on design and implementation. Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement. Prototype and test concepts or features, both through simulation and emulators and with live robotic equipment Work directly with customers and partners to test prototypes and incorporate feedback Mentor other engineer team members. A day in the life 6+ years of building machine learning models for retail application experience PhD, or Master's degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Demonstrated expertise in computer vision and machine learning techniques. Basic Qualifications 3+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Preferred Qualifications Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A2924280 Show more Show less

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team Roku is the No. 1 TV streaming platform in the U.S., Canada, and Mexico with 70+ millions of active accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. We believe Roku’s continued success relies on its investment in our machine learning/ML recommendation engine. Roku enables our users to access millions of contents including movies, episodes, news, sports, music and channels from all around the world. About the role We’re on a mission to build cutting-edge advertising technology that empowers businesses to run sustainable and highly-profitable campaigns. The Ad Performance team owns server technologies, data, and cloud services aimed at improving the ad experience. We're looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimisation, and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimisation, probability theory, and machine learning using both general purpose software and statistical languages. What you’ll be doing ML infrastructure: Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality. Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models. Model training with batch and real-time prediction scenarios: Use machine learning and statistical modelling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy. Production operations: Low-level systems debugging, performance measurement, and optimisation on large production clusters. Collaboration with cross-functional teams: Partner with product managers, data scientists, and other engineers to deliver impactful solutions. Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends. We’re excited if you have Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field. Experience in applied machine learning on real use cases (bonus points for ad tech-related use cases). Great coding skills and strong software development experience (we use Spark, Python, Java). Familiarity with real-time evaluation of models with low latency constraints. Familiarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc. Ability to work with large scale computing frameworks, data analysis systems, and modelling environments. Examples include Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB. Ad tech background is a plus. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms. Show more Show less

- 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Amazon Shipping Team: Basic Qualifications: Btech/Mtech in Computer Science, Machine Learning, Operations Research, Statistics, or related technical field applying ML techniques to solve complex business problems programming skills in Python, R, or similar languages Experience with modern ML frameworks (PyTorch, TensorFlow, etc.) About the Role: At Amazon Shipping, we're revolutionizing package delivery through machine learning. Our network handles packages daily with predictive monitoring, proactive failure detection, and intelligent redundancy - all while optimizing costs for our customers. Key Responsibilities: Design and develop ML models for: Transportation cost auditing and discrepancy detection Package-level shipping cost prediction First Mile optimization through warehouse pickup forecasting Delivery delay prediction using network signals and external factors Collaborate with cross-functional teams to implement ML solutions at scale Author scientific papers for ML conferences Mentor team members in ML best practices Provide ML consultation across organizations Preferred Qualifications: PhD in Experience with large-scale distributed systems Publication record in top-tier ML conferences Expertise in time series forecasting and anomaly detection Background in transportation/logistics optimization communication skills with technical and non-technical stakeholders Our Team: You'll join a diverse team of Applied Scientists, Software Engineers, and Business Intelligence Engineers working on edge ML solutions. We're passionate about solving complex problems and delivering customer value through innovation. Key job responsibilities Your role will require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised and reinforcement learning. Your model choices will include, but not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel movements and truck movements). You will partner with Applied Scientists and Research Scientists from other teams in US and India working on related business domains. Your models are expected to be of production quality, and will be directly used in production services. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

- 6+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning The Amazon Photos team is looking for a world-class Sr. Applied Scientist to join us and use AI to help customers relive their cherished memories. Our team of scientists have developed algorithms and models that power Amazon Photos features for millions of photos and videos daily. As part of the team, we expect that you will develop innovative solutions to hard problems at massive scale, and publish your findings in at peer reviewed conferences and workshops. With the recent advancements in Vision-Language models, Amazon Photos has completely re-thought the product roadmap and is looking for a Sr. Applied Scientist to deliver both the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning, and large scale image and video detection and recognition. Key job responsibilities - Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Visual-Language Model space - Design and execute experiments to evaluate the performance of different models, and iterate quickly to improve results - Create robust evaluation frameworks for assessing model performance across different domains and use cases - Think big about the Visual-Language Model space over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems within Amazon Photos - Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports - You will mentor and guide junior scientists and contribute to the overall growth and development of the team About the team Amazon Photos is the one of the main digital products offered to Prime subscribers along with Amazon Music and Amazon Video. Amazon Photos provides unlimited photo storage and 5 GB for videos to Prime members and is a top Prime benefit in multiple marketplaces. AI-driven experiences based on image and video understanding are core to customer delight for the business. These experiences are delivered in our mobile, web and desktop apps, in Fire TV, and integrated into Alexa devices such as Echo Show. We solve real-world problems using AI while being a positive force for good. PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Excellent technical publications and material contributions to the CV/ML/AI field as related to image and video processing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Title: Senior Data Scientist – AI/ML & Big Data Location: Gurgaon (Hybrid) Experience: 7+ Years Job Type: Full-Time About the Role: We are seeking a Senior Data Scientist with 7+ years of experience in AI/ML, Big Data, and Cloud-based solutions to design, develop, and deploy scalable machine learning models. The ideal candidate will have strong expertise in Python, TensorFlow/PyTorch, Spark MLlib, and cloud platforms (GCP/AWS/Azure) . Key Responsibilities: ✔ Design & deploy AI/ML models for large-scale data processing. ✔ Develop Big Data pipelines using Spark, SQL, and cloud services (GCP preferred) . ✔ Perform statistical analysis, ETL, and data modeling for actionable insights. ✔ Collaborate with stakeholders to translate business problems into ML solutions . ✔ Optimize model performance, scalability, and efficiency in production. Must-Have Skills: ✔ 6-8 years in AI/ML, Big Data, and cloud-based deployments . ✔ Strong programming in Python, SQL, TensorFlow/PyTorch, Spark MLlib . ✔ Hands-on with GCP/AWS/Azure (GCP preferred) . ✔ Expertise in ETL, data warehousing, and statistical modeling . ✔ Degree in Computer Science, Data Science, Engineering, or related fields . Preferred Skills: ✔ Experience with MLOps, model deployment, and CI/CD pipelines . ✔ Strong data visualization & storytelling skills (Matplotlib, Tableau, etc.). Show more Show less

Description Are you passionate about solving complex logistics challenges that directly impact millions of customers? Our Logistics Analytics team is at the forefront of revolutionizing delivery experiences through data-driven solutions and innovative technology. As a Senior Applied Scientist, you will join a team dedicated to optimizing our delivery network, ensuring customers receive their packages reliably and efficiently. We are seeking an enthusiastic, customer centric professional with good analytical capabilities to drive impactful projects, implement advanced scheduling solutions, and develop scalable processes. In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of last-mile delivery. Your work will directly influence customer experience and operational excellence. The ideal candidate will possess both research science capabilities and program management skills, thriving in an environment that requires independent decision-making and comfort with ambiguity. This role offers the opportunity to make a significant impact on one of the world's most sophisticated logistics networks while working with pioneering technology and data science applications. About The Team Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Business Analytics team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner Basic Qualifications 6+ years of building machine learning models for business application experience Knowledge of programming languages such as C/C++, Python, Java or Perl Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Preferred Qualifications PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field 15+ years of relevant, broad research experience Deep expertise in Machine Learning Proficiency in programming core competency in mathematics and statistics. Track record of successful projects in algorithm design and product development. Publications at top-tier peer-reviewed conferences or journals. prior experience with mentorship and/or management of scientists Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business Effective verbal and written communication skills Experience working with real-world data sets and building scalable models from big data. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, Experience with large scale distributed systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - Amazon Dev Center India - Hyderabad Job ID: A2940957 Show more Show less

Who we are Wayfair’s Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are looking for Machine Learning Scientists to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for the development of budget, tROAS and SKU recommendations and other machine learning capabilities supporting our ads business. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your engineering and machine learning skills to solve some of our most impactful and intellectually challenging problems to directly impact Wayfair’s revenue. What you’ll do Design, build, deploy and refine large-scale machine learning models and algorithmic decision-making systems that solve real-world problems for customers Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped analytical solutions Collaborate closely with various engineering, infrastructure, and machine learning platform teams to ensure adoption of best-practices in how we build and deploy scalable machine learning services Identify new opportunities and insights from the data (where can the models be improved? What is the projected ROI of a proposed modification?) Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on. What you’ll need 3+ years of industry experience with a Bachelor/ Master’s degree or minimum of 1-2 years of industry experience with PhD in Computer Science, Mathematics, Statistics, or related field. Proficiency in Python or one other high-level programming language Solid hands-on expertise deploying machine learning solutions into production Strong theoretical understanding of statistical models such as regression, clustering and machine learning algorithms such as decision trees, neural networks, etc. Strong written and verbal communication skills Intellectual curiosity and enthusiastic about continuous learning Nice to have Experience with Python machine learning ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML) Familiarity with GCP (or AWS, Azure), machine learning model development frameworks, machine learning orchestration tools (Airflow, Kubeflow or MLFlow) Experience in information retrieval, query/intent understanding, search ranking, recommender systems etc. Experience with deep learning frameworks like PyTorch, Tensorflow, etc. Show more Show less

Job Description 7+ years of hands-on experience in AI/ML and Big Data projects. Strong proficiency in Python, SQL, TensorFlow, PyTorch, Scikit-learn, and Spark MLlib. Proven experience designing and deploying scalable AI/ML models in cloud environments (preferably GCP; AWS/Azure is a plus). Solid understanding of data modeling, data warehousing, and ETL in Big Data contexts. Ability to apply statistical and machine learning techniques to derive actionable business insights. Skilled in building and optimizing Big Data pipelines and integrating ML models into production. Strong communication skills with the ability to present complex findings to both technical and non-technical audiences. Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related quantitative field. Location : Gurugram (ref:hirist.tech) Show more Show less

Role: Fulltime- Permanent Location: Chennai Hybrid: 2 Days WFO, 3 Days WFH Preferably immediate joiners Key Skills: Strong GCP Cloud experience Proficiency in AI tools used to prepare and automate data pipelines and ingestion Apache Spark, especially with MLlib PySpark and Dask for distributed data processing Pandas and NumPy for local data wrangling Apache Airflow – schedule and orchestrate ETL/ELT jobs Google Cloud (BigQuery, Vertex AI) Python (most popular for AI and data tasks) About us OneMagnify is a global performance marketing company that blends brand strategy, data analytics, and cutting-edge technology to drive measurable business results. With a strong focus on innovation and collaboration, OneMagnify partners with clients to create personalized marketing solutions that enhance customer engagement and deliver real-time impact. The company is also known for its award-winning workplace culture, emphasizing employee growth and inclusion. 🌟 Why Join OneMagnify? Top Workplace: Consistently recognized in the U.S. & India for a great work culture. Cutting-Edge Tech: Work with modern tools like Databricks, Snowflake, Azure, and MLflow. Growth-Focused: Strong career paths, upskilling, and learning opportunities. Global Impact: Collaborate across teams on high-impact, data-driven projects. Great Benefits: Competitive salary, insurance, paid holidays, and more. Meaningful Work: Solve real-world business challenges with innovative solutions. Show more Show less

At Juniper, we believe the network is the single greatest vehicle for knowledge, understanding, and human advancement the world has ever known. To achieve real outcomes, we know that experience is the most important requirement for networking teams and the people they serve. Delivering an experience-first, AI-Native Network pivots on the creativity and commitment of our people. It requires a consistent and committed practice, something we call the Juniper Way. Job Title: Software Engineer IV/Staff - Data Scientist AI/ML Experience: 5+ Years Location: Bangalore The AIOps team’s mission is to use advanced analytics, including AI/ML, to develop end-to-end solutions to automate (detect, remediate) networking workflows for our customers, and help extend AI/ML across the Juniper portfolio. We are looking for an experienced engineer to join our growing data science team of AI/ML and data-at-scale engineers. Our ideal candidate brings their skills and experience having developed performant inferencing implementations, practiced data science hygiene to develop ML models and is a team player. As a data scientist, you will collaborate with product managers and domain specialists to identify real customer problems, use your background in NLP/ML to develop solutions that scale with terabytes of data. Qualifications/Requirements: BS/MS in Computer Science or Data Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, Neural network, Graph ML, etc 4+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning models Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow Works well in a team setting and is self-driven Desired Experience: Experience with some/equivalent: AWS, Flink, Spark, Kafka, Elastic Search, Kubeflow Knowledge and experience with NLP technology Networking domain experience and/or demonstrable problem-solving ability Conceptual understanding of system design concepts Responsibilities: Collaborate with product management and engineering teams to understand company needs, work with domain experts to identify relevant “signals” during feature engineering Take end-to-end responsibility to deliver optimized, generic and performant ML solutions Keep up to date with newest technology trends Communicate results and ideas to key decision makers Implement new statistical or other mathematical methodologies as needed for specific models or analysis Optimize joint development efforts through appropriate database use and project design About Juniper Networks Juniper Networks challenges the inherent complexity that comes with networking and security in the multicloud era. We do this with products, solutions and services that transform the way people connect, work and live. We simplify the process of transitioning to a secure and automated multicloud environment to enable secure, AI-driven networks that connect the world. Additional information can be found at Juniper Networks (www.juniper.net) or connect with Juniper on Twitter, LinkedIn and Facebook. WHERE WILL YOU DO YOUR BEST WORK? Wherever you are in the world, whether it's downtown Sunnyvale or London, Westford or Bengaluru, Juniper is a place that was founded on disruptive thinking - where colleague innovation is not only valued, but expected. We believe that the great task of delivering a new network for the next decade is delivered through the creativity and commitment of our people. The Juniper Way is the commitment to all our colleagues that the culture and company inspire their best work-their life's work. At Juniper we believe this is more than a job - it's an opportunity to help change the world. At Juniper Networks, we are committed to elevating talent by creating a trust-based environment where we can all thrive together. If you think you have what it takes, but do not necessarily check every single box, please consider applying. We’d love to speak with you. Additional Information for United States jobs: ELIGIBILITY TO WORK AND E-VERIFY In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Juniper Networks participates in the E-Verify program. E-Verify is an Internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of new hires and the validity of their Social Security Numbers. Information for applicants about E-Verify / E-Verify Información en español: This Company Participates in E-Verify / Este Empleador Participa en E-Verify Immigrant and Employee Rights Section (IER) - The Right to Work / El Derecho a Trabajar E-Verify® is a registered trademark of the U.S. Department of Homeland Security. Juniper is an Equal Opportunity workplace. We do not discriminate in employment decisions on the basis of race, color, religion, gender (including pregnancy), national origin, political affiliation, sexual orientation, gender identity or expression, marital status, disability, genetic information, age, veteran status, or any other applicable legally protected characteristic. All employment decisions are made on the basis of individual qualifications, merit, and business need. Show more Show less

Job Designation - Full Stack Data Engineer - AI/ML Location - Mundhwa, Pune Years of experience - 5 years Key Responsibilities: · Model Development & Deployment: Develop and deploy ML/DL models for predictive maintenance, anomaly detection, forecasting (e.g., energy production, equipment failure), and performance optimization of renewable assets. · Advanced Analytics: Perform exploratory data analysis (EDA), hypothesis testing, and statistical modeling to identify trends, patterns, and correlations in large datasets. · Collaboration with Engineers: Work closely with data engineers to design and validate data pipelines that feed ML models and analytics dashboards. · Feature Engineering: Engineer meaningful features from sensor and operational data, integrating diverse data sources such as IoT, weather, and operational logs. · Model Monitoring & Optimization: Monitor model performance post-deployment and implement continuous learning and model retraining pipelines (MLOps). · Business Understanding: Translate business objectives into analytical solutions and communicate findings effectively with both technical and non-technical stakeholders. · Tooling & Automation: Use platforms like MLflow, Airflow, and containerization tools (Docker/Kubernetes) to automate ML workflows. · Visualization & Reporting: Create dashboards and visualizations using PowerBI, Tableau, or open-source tools to present insights and model outputs to business users. Required Skills and Qualifications: · Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Applied Mathematics, or a related field. · Experience: 5+ years of experience in data science roles with a strong portfolio of delivered projects, ideally in the energy, manufacturing, industrial IoT, or sustainability domains. · Technical Proficiency: · Programming: Python (must), Pyspark, R (optional) · Libraries/Frameworks: scikit-learn, XGBoost, TensorFlow/PyTorch, pandas, NumPy, MLflow,NLP, LLMs like BERT, GPT, T5, Mllib, FastAPI / Flask · Big Data Tools: PySpark, Apache Spark · Databases: PostgreSQL, Dynamo, MS SQL, NoSQL (MongoDB, Cassandra) · Cloud Platforms: AWS (preferred), Azure or GCP · Orchestration: Apache Airflow, AWS Step Functions, Lambda · Version Control: Git Show more Show less

Job Details Experience: 7+ years Notice Period: Immediate joiners Work Timings: Normal working Hours Location: Gurgaon Work Mode: Hybrid Requirements Expertise in Data Science & AI/ML: 6-8 years' experience designing, developing, and deploying scalable AI/ML solutions for Big Data, with proficiency in Python, SQL, TensorFlow, PyTorch, Scikit-learn, and Big Data ML libraries (e.g., Spark MLlib). Cloud Proficiency: Proven experience with cloud-based Big Data services (GCP preferred, AWS/Azure a plus) for AI/ML model deployment and Big Data pipelines; understanding of data modeling, warehousing, and ETL in Big Data contexts. Analytical & Communication Skills: Ability to extract actionable insights from large datasets, apply statistical methods, and effectively communicate complex findings to both technical and non-technical audiences (visualization skills a plus). Educational Background Bachelor's or Master's degree in a quantitative field (Computer Science, Data Science, Engineering, Statistics, Mathematics). Skills: data visualization,statistical modeling,data analysis,tensorflow,big data technologies,ai/ml,data mining,pytorch,spark mllib,machine learning models,artificial intelligence,machine learning,problem solving,predictive analytics,etl,warehousing,ml,data science,big data ml libraries,data modeling,scikit-learn,sql,gcp,python,cloud services (gcp, aws, azure),azure,big data,apache spark mllib,ai,aws,statistical methods Show more Show less

About The Role We are hiring a results-oriented Senior Machine Learning Engineer to join our growing team in Pune on a hybrid schedule. Reporting to the Director of Machine Learning, you will partner with Product and Engineering teams to both solve problems and identify new opportunities for the business. The ideal candidate will apply quantitative analysis, modeling, and data mining to help drive informed product decisions for PubMatic + get things done. What You'll Do Perform deep dive analysis to understand and optimize the key product KPIs. Apply statistics, modeling, and machine learning to improve the efficiency of systems and relevance algorithms across our business application products. Conduct data analysis to make product recommendations and design A/B experiments. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. We'd Love for You to Have Five plus years of hands-on experience designing Machine Learning models to solve business problems with statistical packages, such as R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlib. Experience with articulating product questions and using statistics to arrive at an answer. Experience with scripting in SQL - extracting large data sets and designing ETL flows. Work experience in an inter-disciplinary/cross-functional field. Deep interest and aptitude in data, metrics, analysis, and trends, and applied knowledge of measurement, statistics, and program evaluation. Distinctive problem-solving skills and impeccable business judgment. Capable of translating analysis results into business recommendations. Should have a bachelor’s degree in engineering (CS / IT) or equivalent degree from a well-known institute/university. Additional Information Return to Office : PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions. Benefits: Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more!. Diversity and Inclusion : PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status About PubMatic PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand. Show more Show less

Description Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. The ATT team, based in Bangalore, is responsible for ensuring that ads are relevant and is of good quality, leading to higher conversion for the sellers and providing a great experience for the customers. We deal with one of the world’s largest product catalog, handle billions of requests a day with plans to grow it by order of magnitude and use automated systems to validate tens of millions of offers submitted by thousands of merchants in multiple countries and languages. In this role, you will build and develop ML models to address content understanding problems in Ads. These models will rely on a variety of visual and textual features requiring expertise in both domains. These models need to scale to multiple languages and countries. You will collaborate with engineers and other scientists to build, train and deploy these models. As part of these activities, you will develop production level code that enables moderation of millions of ads submitted each day. Basic Qualifications 3+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Preferred Qualifications Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2713237 Show more Show less

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience Role Overview Your role and responsibilities Hiring an ML Engineer with experience in Cloudera ML to support end-to-end model development, deployment, and monitoring on the CDP platform. Key Responsibilities Develop and deploy models using CML workspaces Build CI/CD pipelines for ML lifecycle Integrate with governance and monitoring tools Enable secure model serving via REST APIs Preferred Education Master's Degree Skills Required Required technical and professional expertise Experience in Cloudera ML, Spark MLlib, or scikit-learn ML pipeline automation (MLflow, Airflow, or equivalent) Model governance, lineage, and versioning API exposure for real-time inference Show more Show less

Who we are Wayfair’s Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are looking for Machine Learning Scientists to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for the development of budget, tROAS and SKU recommendations and other machine learning capabilities supporting our ads business. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your engineering and machine learning skills to solve some of our most impactful and intellectually challenging problems to directly impact Wayfair’s revenue. What you’ll do Design, build, deploy and refine large-scale machine learning models and algorithmic decision-making systems that solve real-world problems for customers Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped analytical solutions Collaborate closely with various engineering, infrastructure, and machine learning platform teams to ensure adoption of best-practices in how we build and deploy scalable machine learning services Identify new opportunities and insights from the data (where can the models be improved? What is the projected ROI of a proposed modification?) Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on. What you’ll need 3+ years of industry experience with a Bachelor/ Master’s degree or minimum of 1-2 years of industry experience with PhD in Computer Science, Mathematics, Statistics, or related field. Proficiency in Python or one other high-level programming language Solid hands-on expertise deploying machine learning solutions into production Strong theoretical understanding of statistical models such as regression, clustering and machine learning algorithms such as decision trees, neural networks, etc. Strong written and verbal communication skills Intellectual curiosity and enthusiastic about continuous learning Nice to have Experience with Python machine learning ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML) Familiarity with GCP (or AWS, Azure), machine learning model development frameworks, machine learning orchestration tools (Airflow, Kubeflow or MLFlow) Experience in information retrieval, query/intent understanding, search ranking, recommender systems etc. Experience with deep learning frameworks like PyTorch, Tensorflow, etc. Show more Show less

Role : Databricks Developer with Python Location: Bangalore Exp: 3-5 yrs Notice Period: Immediate to 15 days Mandatory Skills: · Around 5 years experience as Databricks/PySpark developer · Strong Python programming skills, a solid understanding of Apache Spark's concepts (like DataFrames, Spark SQL, and MLlib), and familiarity with cloud platforms. · 1 to 3 days per week - Work from Bengaluru office Job Description Summary: Design and Development: • Design, develop, and deploy ETL processes on Databricks for data integration and transformation. • Implement and optimize Spark jobs, data transformations, and data processing workflows. • Build and optimize data pipelines, architectures, and datasets. • Collaboration - Collaborate with data engineers, architects and team members to ensure efficient data processing and storage. Best Practices - Implement best practices for data pipelines, including monitoring, logging, and error handling. Tools and Technologies: •Proficient in using Databricks, Azure Data Factory, and other Azure services. •Experience with PySpark, SQL for ETL logic. •Familiarity with Apache Spark and Delta Lake. Other Skills: ·Experience with data warehousing concepts and data modeling. ·Hands-on experience in creating stored procedures, functions, tables, cursors. ·Experience in database testing, data comparison, and data transformation scripting ·Capable of troubleshooting common database issues ·Familiar with tools that can aid with profiling server resource usage and optimizing it ·Hands on experience in Gitlab with understanding of CI/CD Pipeline, DevOps tools Show more Show less

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Years of Experience: Candidates with 15+ years of hands on experience Required Skills Must Have: Solid knowledge and experience of supervised, unsupervised machine learning algorithms. For e.g (but not limited to): linear regressions, bayesian regressions, multi objective optimization techniques, classifiers, cluster analysis, dimension reduction etc. Understanding of technicality used for retail analytics across loyalty, customer analytics, assortment, promotion and marketing Good knowledge of statistics For e.g: statistical tests & distributions Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow,, Pytorch, MLlib) Advanced level programming in SQL and Python/Pyspark to guide teams Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc. Nice To Have Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow) Experience with model explainability and interpretability techniques Multi-task and manage multiple deadlines. Responsible for incorporating client/user feedback into the Product Ability to think through complex user scenarios and design simple yet effective user interactions Good Communication and presentation skills Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA Show more Show less

Data Science and AI Developer **Job Description:** We are seeking a highly skilled and motivated Data Science and AI Developer to join our dynamic team. As a Data Science and AI Developer, you will be responsible for leveraging cutting-edge technologies to develop innovative solutions that drive business insights and enhance decision-making processes. No salary will be provided during the 3-month probation period. **Key Responsibilities:** 1. Develop and deploy machine learning models for predictive analytics, classification, clustering, and anomaly detection. 2. Design and implement algorithms for data mining, pattern recognition, and natural language processing. 3. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 4. Utilize advanced statistical techniques to analyze complex datasets and extract actionable insights. 5. Implement scalable data pipelines for data ingestion, preprocessing, feature engineering, and model training. 6. Stay updated with the latest advancements in data science, machine learning, and artificial intelligence research. 7. Optimize model performance and scalability through experimentation and iteration. 8. Communicate findings and results to stakeholders through reports, presentations, and visualizations. 9. Ensure compliance with data privacy regulations and best practices in data handling and security. 10. Mentor junior team members and provide technical guidance and support. **Requirements:** 1. Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 2. Proven experience in developing and deploying machine learning models in production environments. 3. Proficiency in programming languages such as Python, R, or Scala, with strong software engineering skills. 4. Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Spark MLlib. 5. Solid understanding of data structures, algorithms, and computer science fundamentals. 6. Excellent problem-solving skills and the ability to think creatively to overcome challenges. 7. Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. 8. Certification in Data Science, Machine Learning, or Artificial Intelligence (e.g., Coursera, edX, Udacity, etc.). 9. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. 10. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) is an advantage. Data Manipulation and Analysis : NumPy, Pandas Data Visualization : Matplotlib, Seaborn, Power BI Machine Learning Libraries : Scikit-learn, TensorFlow, Keras Statistical Analysis : SciPy Web Scrapping : Scrapy IDE : PyCharm, Google Colab HTML/CSS/JavaScript/React JS Proficiency in these core web development technologies is a must. Python Django Expertise: In-depth knowledge of e-commerce functionalities or deep Python Django knowledge. Theming: Proven experience in designing and implementing custom themes for Python websites. Responsive Design: Strong understanding of responsive design principles and the ability to create visually appealing and user-friendly interfaces for various devices. Problem Solving: Excellent problem-solving skills with the ability to troubleshoot and resolve issues independently. Collaboration: Ability to work closely with cross-functional teams, including marketing and design, to bring creative visions to life. interns must know about how to connect front end with datascience Also must Know to connect datascience to frontend **Benefits:** - Competitive salary package - Flexible working hours - Opportunities for career growth and professional development - Dynamic and innovative work environment Job Type: Full-time Pay: ₹8,000.00 - ₹12,000.00 per month Schedule: Day shift Ability to commute/relocate: Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person