35 Mllib Jobs

Description We are in need of a driven Scala Developer to join our dynamic team at GlobalLogic. In this role, you will have the groundbreaking opportunity to work on outstanding projects that innovate the future of technology. You will collaborate with our world-class engineers to deliver flawless solutions and compete in a crafty, innovative environment. Requirements Minimum 6-12 years of software development experience Scala Language Mastery Strong understanding of both functional and object-oriented programming paradigms. Deep knowledge of: Immutability, lazy evaluation Traits, case classes, companion objects Pattern matching Advanced type system: generics, type bounds, implicits, context bounds 🔹 Functional Programming (FP) Hands-on experience with: Pure functions, monads, functors, higher-kinded types FP libraries: Cats, Scalaz, or ZIO Understanding of effect systems and referential transparency 📦 Frameworks & Libraries 🔹 Backend / API Development RESTful API development using: Play Framework Akka HTTP Experience with GraphQL is a plus 🔹 Concurrency & Asynchronous Programming Deep understanding of: Futures, Promises Akka actors, Akka Streams ZIO or Cats Effect 🛠️ Build, Tooling & DevOps SBT for project building and dependency management Familiarity with Git, Docker, and Kubernetes CI/CD experience with Jenkins, GitHub Actions, or similar tools Comfortable with Linux command line and shell scripting 🗄️ Database & Data Systems Strong experience with: SQL databases: PostgreSQL, MySQL NoSQL databases: Cassandra, MongoDB Streaming/data pipelines: Kafka, Spark (with Scala) ORM / FP database libraries: Slick, Doobie 🧱 Architecture & System Design Microservices architecture design and deployment Event-driven architecture Familiarity with Domain-Driven Design (DDD) Designing for scalability, fault tolerance, and observability 🧪 Testing & Quality Experience with testing libraries: ScalaTest, Specs2, MUnit ScalaCheck for property-based testing Test-driven development (TDD) and behavior-driven development (BDD) 🌐 Cloud & Infrastructure (Desirable) Deploying Scala apps on: AWS (e.g., EC2, Lambda, ECS, RDS) GCP or Azure Experience with infrastructure-as-code (Terraform, CloudFormation) is a plus 🧠 Soft Skills & Leadership Mentorship: Ability to coach junior developers Code reviews: Ensure code quality and consistency Communication: Work cross-functionally with product managers, DevOps, QA Agile development: Experience with Scrum/Kanban Ownership: Capable of taking features from design to production ⚡ Optional (but Valuable) Scala.js / Scala Native experience Machine Learning with Scala (e.g., Spark MLlib) Exposure to Kotlin, Java, or Python Job responsibilities As a Scala Developer/ Big Data Engineer, you will: – Develop, test, and deploy high-quality Scala applications. – Implement functional and object-oriented programming paradigms. – Ensure code quality through immutability, lazy evaluation, and pattern matching. – Craft and build scalable systems using traits, case classes, and companion objects. – Collaborate with cross-functional teams to determine project requirements and deliver solutions successfully. – Troubleshoot and resolve complex technical issues. – Participate in code reviews to maintain our high standards of quality What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. Show more Show less

Job Title: Senior Software Engineer Department: IDP About Us HG Insights is the global leader in technology intelligence, delivering actionable AI driven insights through advanced data science and scalable big data solutions. Our Big Data Insights Platform processes billions of unstructured documents and powers a vast data lake, enabling enterprises to make strategic, data-driven decisions. Join our team to solve complex data challenges at scale and shape the future of B2B intelligence. What You’ll Do: Design, build, and optimize large-scale distributed data pipelines for processing billions of unstructured documents using Databricks, Apache Spark, and cloud-native big data tools Architect and scale enterprise-grade big-data systems, including data lakes, ETL/ELT workflows, and syndication platforms for customer-facing Insights-as-a-Service (InaaS) products. Collaborate with product teams to develop features across databases, backend services, and frontend UIs that expose actionable intelligence from complex datasets. Implement cutting-edge solutions for data ingestion, transformation, and analytics using Hadoop/Spark ecosystems, Elasticsearch, and cloud services (AWS EC2, S3, EMR). Drive system reliability through automation, CI/CD pipelines (Docker, Kubernetes, Terraform), and infrastructure-as-code practices. What You’ll Be Responsible For Leading the development of our Big Data Insights Platform, ensuring scalability, performance, and cost-efficiency across distributed systems. Mentoring engineers, conducting code reviews, and establishing best practices for Spark optimization, data modeling, and cluster resource management. Building & Troubleshooting complex data pipeline issues, including performance tuning of Spark jobs, query optimization, and data quality enforcement. Collaborating in agile workflows (daily stand-ups, sprint planning) to deliver features rapidly while maintaining system stability. Ensuring security and compliance across data workflows, including access controls, encryption, and governance policies. What You’ll Need BS/MS/Ph.D. in Computer Science or related field, with 5+ years of experience building production-grade big data systems. Expertise in Scala/Java for Spark development, including optimization of batch/streaming jobs and debugging distributed workflows. Proven track record with: Databricks, Hadoop/Spark ecosystems, and SQL/NoSQL databases (MySQL, Elasticsearch). Cloud platforms (AWS EC2, S3, EMR) and infrastructure-as-code tools (Terraform, Kubernetes). RESTful APIs, microservices architectures, and CI/CD automation37. Leadership experience as a technical lead, including mentoring engineers and driving architectural decisions. Strong understanding of agile practices, distributed computing principles, and data lake architectures. Airflow orchestration (DAGs, operators, sensors) and integration with Spark/Databricks 7+ years of designing, modeling and building big data pipelines in an enterprise work setting. Nice-to-Haves Experience with machine learning pipelines (Spark MLlib, Databricks ML) for predictive analytics. Knowledge of data governance frameworks and compliance standards (GDPR, CCPA). Contributions to open-source big data projects or published technical blogs/papers. DevOps proficiency in monitoring tools (Prometheus, Grafana) and serverless architectures. Show more Show less

Description WBA Requirements Scala(Coding on Spark, Base Scala Language, Concepts in Scala- traits, extends, Immutable, Mutable, Objects, Class, etc…), Spark(SQL, Dataframes, Datasets, RDD), Databricks(Notebooks, Workflow, Clusters, Monitoring, Debugging), Intelij Minimum 8-10 Years Of Software Development Experience Scala Language Mastery Strong understanding of both functional and object-oriented programming paradigms. Deep knowledge of: Immutability, lazy evaluation Traits, case classes, companion objects Pattern matching Advanced type system: generics, type bounds, implicits, context bounds 🔹 Functional Programming (FP) Hands-on experience with: Pure functions, monads, functors, higher-kinded types FP libraries: Cats, Scalaz, or ZIO Understanding of effect systems and referential transparency 📦 Frameworks & Libraries 🔹 Backend / API Development RESTful API development using: Play Framework Akka HTTP Experience with GraphQL is a plus 🔹 Concurrency & Asynchronous Programming Deep understanding of: Futures, Promises Akka actors, Akka Streams ZIO or Cats Effect 🛠️ Build, Tooling & DevOps SBT for project building and dependency management Familiarity with Git, Docker, and Kubernetes CI/CD experience with Jenkins, GitHub Actions, or similar tools Comfortable with Linux command line and shell scripting 🗄️ Database & Data Systems Strong experience with: SQL databases: PostgreSQL, MySQL NoSQL databases: Cassandra, MongoDB Streaming/data pipelines: Kafka, Spark (with Scala) ORM / FP database libraries: Slick, Doobie 🧱 Architecture & System Design Microservices architecture design and deployment Event-driven architecture Familiarity with Domain-Driven Design (DDD) Designing for scalability, fault tolerance, and observability 🧪 Testing & Quality Experience with testing libraries: ScalaTest, Specs2, MUnit ScalaCheck for property-based testing Test-driven development (TDD) and behavior-driven development (BDD) 🌐 Cloud & Infrastructure (Desirable) Deploying Scala apps on: AWS (e.g., EC2, Lambda, ECS, RDS) GCP or Azure Experience with infrastructure-as-code (Terraform, CloudFormation) is a plus 🧠 Soft Skills & Leadership Mentorship: Ability to coach junior developers Code reviews: Ensure code quality and consistency Communication: Work cross-functionally with product managers, DevOps, QA Agile development: Experience with Scrum/Kanban Ownership: Capable of taking features from design to production ⚡ Optional (but Valuable) Scala.js / Scala Native experience Machine Learning with Scala (e.g., Spark MLlib) Exposure to Kotlin, Java, or Python Job responsibilities Same as above What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. Show more Show less

Company Description Technocratic Solutions is a trusted and renowned provider of technical resources on a contract basis, serving businesses globally. With a dedicated team of developers, we deliver top-notch software solutions in cutting-edge technologies such as PHP, Java, JavaScript, Drupal, QA, Blockchain AI, and more. Our mission is to empower businesses worldwide by offering high-quality technical resources that meet project requirements and objectives. We prioritize exceptional customer service and satisfaction, delivering our services quickly, efficiently, and cost-effectively. Join us and experience the difference of working with a reliable partner driven by excellence and focused on your success. Job Title: AI/ML Engineer – Generative AI, Databricks, R Programming Location: Delhi NCR / Pune Experience Level: 5 years Job Summary: We are seeking a highly skilled and motivated AI/ML Engineer with hands-on experience in Generative AI, Databricks, and R programming to join our advanced analytics team. The ideal candidate will be responsible for designing, building, and deploying intelligent solutions that drive innovation, automation, and insight generation using modern AI/ML technologies. --- Key Responsibilities: Develop and deploy scalable ML and Generative AI models using Databricks (Spark-based architecture). Build pipelines for data ingestion, transformation, and model training/inference on Databricks. Implement and fine-tune Generative AI models (e.g., LLMs, diffusion models) for various use cases like content generation, summarization, and simulation. Leverage R for advanced statistical modeling, data visualization, and integration with ML pipelines. Collaborate with data scientists, data engineers, and product teams to translate business needs into technical solutions. Ensure reproducibility, performance, and governance of AI/ML models. Stay updated with the latest trends and technologies in AI/ML and GenAI and apply them where applicable. --- Required Skills & Qualifications: Bachelor's/Master’s degree in Computer Science, Data Science, Statistics, or a related field. 5 years of hands-on experience in Machine Learning/AI, with at least 2 year in Generative AI. Proficiency in Databricks, including Spark MLlib, Delta Lake, and MLflow. Strong command of R programming, especially for statistical modeling and data visualization (ggplot2, dplyr, caret, etc.). Experience with LLMs, transformers (HuggingFace, LangChain, etc.), and other GenAI frameworks. Familiarity with Python, SQL, and cloud platforms (AWS/Azure/GCP) is a plus. Excellent problem-solving, communication, and collaboration skills. Preferred: Certifications in Databricks, ML/AI (e.g., Azure/AWS ML), or R. Experience in regulated industries (finance, healthcare, etc.). Exposure to MLOps, CI/CD for ML, and version control (Git). --- What We Offer: Competitive salary and benefits Flexible work environment Opportunities for growth and learning in cutting-edge AI/ML Collaborative and innovative team culture --- Would you like this tailored to a specific company, industry, or seniority level (e.g., Lead, Junior, Consultant)? 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. **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

Roles & Responsibilities Job Description: Data Scientist Expertise in Data Science & AI/ML: 3-8 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). Experience 3-4.5 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, Data Science, SQL, TensorFlow, Pytorch About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

Spark Cluster Deployment: Deploy, configure, and maintain Apache Spark clusters on Kubernetes, ensuring scalability, reliability, and performance. Application Deployment: Collaborate with data engineers and data scientists to deploy Spark applications and workloads, ensuring they run efficiently. Monitoring and Optimization: Implement monitoring solutions to track cluster performance, resource utilization, and application health. Proactively identify and resolve performance bottlenecks. Resource Management: Manage cluster resources, including CPU, memory, and storage allocation, to ensure optimal utilization and cost efficiency. Security: Implement and maintain security measures, including authentication, authorization, and encryption, to protect sensitive data and Spark clusters. Backup and Recovery: Develop and maintain backup and recovery strategies to ensure data integrity and availability in case of failures. Documentation: Maintain clear and comprehensive documentation of Spark cluster configurations, deployment procedures, and best practices. Troubleshooting: Quickly diagnose and resolve issues related to Spark clusters, applications, and Kubernetes infrastructure. Collaboration: Work closely with cross-functional teams, including data engineers, data scientists, and DevOps, to understand application requirements and optimize Spark clusters accordingly. Requirements Proven experience deploying and managing Apache Spark on Kubernetes in a production environment. Proficiency in containerization technologies, particularly Docker and Kubernetes. Strong knowledge of Spark architecture, including cluster, driver, and worker nodes. Familiarity with Spark tuning, optimization, and performance monitoring. Experience with resource management tools like Kubernetes Resource Quotas and LimitRanges. Understanding of data processing and analytics workflows. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills. Experience with Spark cluster orchestration tools like Helm. Knowledge of Spark ecosystem components such as Spark SQL, Spark Streaming, and MLlib. Familiarity with cloud-based solution (Azure). Certification in Kubernetes (e.g., Certified Kubernetes Administrator - CKA). Knowledge of CI/CD pipelines and infrastructure as code (IaC) tools (e.g., Terraform). Scripting skills in languages like Python, Bash, or Shell. Understanding of DevOps practices and automation. Show more Show less

Data scientist with strong background in data mining, machine learning, recommendation systems, and statistics. Should possess signature strengths of a qualified mathematician with ability to apply concepts of Mathematics, Applied Statistics, with specialization in one or more of NLP, Computer Vision, Speech, Data mining to develop models that provide effective solution. A strong data engineering background with hands-on coding capabilities is needed to own and deliver outcomes. A Master’s or PhD Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience, 5+ years of industry experience in predictive modelling, data science and analysis, with prior experience in a ML or data scientist role and a track record of building ML or DL models. Responsibilities and skills Work with our customers to deliver a ML/DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models and deploying completed models to deliver business impact to organizations. Selecting features, building and optimizing classifiers using ML techniques. Data mining using state-of-the-art methods, creating text mining pipelines to clean & process large unstructured datasets to reveal high-quality information and hidden insights using machine learning techniques. Should be able to appreciate and work on: Should be able to appreciate and work on Computer Vision problems, for example, extract rich information from images to categorize and process visual data, develop machine learning algorithms for object and image classification, experience in using DBScan, PCA, Random Forests and Multinomial Logistic Regression to select the best features to classify objects. OR Deep understanding of NLP such as fundamentals of information retrieval, deep learning approaches, transformers, attention models, text summarisation, attribute extraction etc. Preferable experience in one or more of the following areas: recommender systems, moderation of user-generated content, sentiment analysis, etc. OR Speech recognition, speech to text and vice versa, understanding NLP and IR, text summarisation, statistical and deep learning approaches to text processing. Experience of having worked in these areas. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Appreciation for deep learning frameworks like MXNet, Caffe 2, Keras, Tensorflow. Experience in working with GPUs to develop models, handling terabyte-size datasets. Experience with common data science toolkits such as R, Weka, NumPy, MatLab, mlr, mllib, Scikit learn, caret etc – excellence in at least one of these is highly desirable. Should be able to work hands-on in Python, R etc. Should closely collaborate & work with engineering teams to iteratively analyse data using Scala, Spark, Hadoop, Kafka, Storm etc. Experience with NoSQL databases and familiarity with data visualization tools will be of great advantage. What will you experience in terms of culture at Sahaj? A culture of trust, respect and transparency Opportunity to collaborate with some of the finest minds in the industry Work across multiple domains What are the benefits of being at Sahaj? Unlimited leaves Life insurance & private health insurance Stock options No hierarchy Open Salaries 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

DESCRIPTION DESCRIPTION The Digital Acceleration (DA) team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms for solving Digital businesses problems. Key job responsibilities Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML. Collaborate with cross-functional teams to architect and execute technically rigorous AI projects. Thrive in dynamic environments, adapting quickly to evolving technical requirements and deadlines. Engage in effective technical communication (written & spoken) with coordination across teams. Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility. Publish research papers in internal and external venues of repute Support on-call activities for critical issues Basic Qualifications Experience building machine learning models or developing algorithms for business application PhD, or a Master's degree and experience in CS, CE, ML or related field Knowledge of programming languages such as C/C++, Python, Java or Perl Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Proficiency in coding and software development, with a strong focus on machine learning frameworks. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. Preferred Qualifications 5+ years of building machine learning models or developing algorithms for business application experience Have publications at top-tier peer-reviewed conferences or journals Track record of diving into data to discover hidden patterns and conducting error/deviation analysis Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations Exceptional level of organization and strong attention to detail Comfortable working in a fast paced, highly collaborative, dynamic work environment BASIC QUALIFICATIONS 5+ years of building machine learning models for business application experience PhD, or Master's degree and 10+ 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 MAA 15 SEZ Job ID: A2848605 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

- 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.

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 III Experience: 2+ yrs of experience 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 General understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, Neural network, Graph ML, etc Experience 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 with NLP technology Demonstrable problem-solving ability Conceptual understanding of system design concepts Responsibilities: Collaborate with team to understand feature, work with domain experts to identify relevant “signals” during feature engineering, deliver 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

Sr. Executive / Assistant Manager Data Scientist Godrej Agrovet Mumbai, Maharashtra, India ------------------------------------------------------------------------------------------------------------- Job Title: Sr. Executive / Assistant Manager Data Scientist Job Type: Permanent, Full-time Function: Digital Business: Godrej Agrovet Location: Mumbai, Maharashtra, India About Godrej Agrovet: Godrej Agrovet Limited (GAVL) is a diversified, Research & Development focused agri-business Company dedicated to improving the productivity of Indian farmers by innovating products and services that sustainably increase crop and livestock yields. GAVL holds leading market positions in the different businesses it operates - Animal Feed, Crop Protection, Oil Palm, Dairy, Poultry and Processed Foods. GAVL has a pan India presence with sales of over a million tons annually of high-quality animal feed and cutting- edge nutrition products for cattle, poultry, aqua feed and specialty feed. Our teams have worked closely with Indian farmers to develop large Oil Palm Plantations which is helping in bridging the demand and supply gap of edible oil in India. In the crop protection segment, the company meets the niche requirement of farmers through innovative agrochemical offerings. GAVL through its subsidiary Astec Life Sciences Limited, is also a business-to-business (B2B) focused bulk manufacturer of fungicides & herbicides. In Dairy and Poultry and Processed Foods, the company operates through its subsidiaries Creamline Dairy Products Limited and Godrej Tyson Foods Limited. Apart from this, GAVL also has a joint venture with the ACI group of Bangladesh for animal feed business in Bangladesh. For more information on the Company, please log on to www.godrejagrovet.com Roles & Responsibilities: Data Cleaning, Preprocessing & exploration: Prepare data for analysis, ensuring quality, consistency, and completeness by handling missing values, outliers, and transforming data. Explore and analyze large and complex datasets to identify patterns, trends, and anomalies Machine Learning Model Development: Build, train, and deploy machine learning models on the Databricks platform, leveraging tools such as ML flow for experiment with techniques like regression, classification, clustering, and time series analysis Model Evaluation & Deployment: Develop and select features to improve model performance, leveraging Databricks' distributed computing capabilities for efficient processing. Familiarity with CI/CD tools (e.g., Jenkins, GitLab) for automating deployment and testing of data pipelines Collaboration: Collaborate with data engineers, analysts, and business stakeholders to understand business requirements and translate them into data-driven solutions. Data Visualization and Reporting: Create visualizations and dashboards within Databricks, Power BI and other tools to communicate insights to technical and non-technical stakeholders. Continuous Learning: Stay up to date with the latest developments in data science, machine learning, and industry best practices to continually enhance skills and processes. Key Skills: Knowledge of statistical analysis techniques, hypothesis testing, and machine learning Familiarity with NLP, time series analysis, and computer vision or A/B testing Databricks and Apache Spark: Proficiency with Databricks, Spark DataFrames and MLlib Programming: Proficiency in (Python, TensorFlow, Pandas, scikit-learn, PySpark, NumPy) with experience in writing scalable code for large datasets SQL: Strong SQL skills for data extraction, manipulation, and analysis Familiarity with ML flow for tracking, model versioning, and reproducibility. Familiarity with cloud data storage and processing tools (e.g., Azure Data Lake, AWS S3). Educational Qualification: Education: Bachelors degree in Statistics, Mathematics, Computer Science, or a related field Experience: 3+ years of experience in data science or analytical role Experience: As a skilled Data Scientist, you will leverage your analytical skills to uncover insights from complex datasets, build predictive models, and inform data-driven decisions across the organization. You’ll work closely with cross-functional teams, including business, engineering, and product, to apply advanced statistical methods, machine learning, and domain knowledge to solve real-world problems. What’s in it for you? Be an equal parent Maternity support, including paid leave ahead of statutory guidelines, and flexible work options on return Paternity support, including paid leave New mothers can bring a caregiver and children under a year old, on work travel Adoption support; gender neutral and based on the primary caregiver, with paid leave options No place for discrimination at Godrej Gender-neutral anti-harassment policy Same sex partner benefits at par with married spouses Gender transition support We are selfish about your wellness Comprehensive health insurance plans, as well as accident coverage for you and your family, with top-up options Uncapped sick leave Mental wellness and self-care programmes, resources and counselling Celebrating wins, the Godrej Way Structured recognition platforms for individual, team and business-level achievements Performance-based earning opportunities https://www.godrejcareers.com/benefits/ An inclusive Godrej Before you go, there is something important we want to highlight. There is no place for discrimination at Godrej. Diversity is the philosophy of who we are as a company. And has been for over a century. It’s not just in our DNA and nice to do. Being more diverse - especially having our team members reflect the diversity of our businesses and communities - helps us innovate better and grow faster. We hope this resonates with you. We take pride in being an equal opportunities employer. We recognise merit and encourage diversity. We do not tolerate any form of discrimination on the basis of nationality, race, colour, religion, caste, gender identity or expression, sexual orientation, disability, age, or marital status and ensure equal opportunities for all our team members. If this sounds like a role for you, apply now! We look forward to meeting you. Show more Show less

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

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

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