Job Description Oracle Customer Success Services Building on the mindset that "Who knows Oracle …. better than Oracle?" Oracle Customer Success Services assists customers with their requirements for some of the most cutting-edge applications and solutions by utilizing the strengths of more than two decades of expertise in developing mission-critical solutions for enterprise customers and combining it with cutting-edge technology to provide our customers' speed, flexibility, resiliency, and security to enable customers to optimize their investment, minimize risk, and achieve more. The business was established with an entrepreneurial mindset and supports a vibrant, imaginative, and highly varied workplace. We are free of obligations, so we'll need your help to turn it into a premier engineering hub that prioritizes quality. Why? Oracle Customer Success Services Engineering is responsible for designing, building, and managing cutting-edge solutions, services, and core platforms to support the managed cloud business including but not limited to Oracle Cloud Infrastructure (OCI), Oracle Cloud Applications (SaaS) & Oracle Enterprise Applications. This position is for CSS Architecture Team, and we are searching for the finest and brightest technologists as we begin on the road of cloud-native digital transformation. We operate under a garage culture, rely on cutting-edge technology in our daily work, and provide a highly innovative, creative, and experimental work environment. We prefer to innovate and move quickly, putting a strong emphasis on scalability and robustness. We need your assistance to build a top-tier engineering team that has a significant influence. What? As a Principal Data Science & AIML Engineer within the CSS CDO Architecture & Platform team, you’ll lead efforts in designing and building scalable, distributed, resilient services that provide artificial intelligence and machine learning capabilities on OCI & Oracle Cloud Applications for the business. You will be responsible for the design and development of machine learning systems and applications, ensuring they meet the needs of our clients and align with the company's strategic objectives. The ideal candidate will have extensive experience in machine learning algorithms, model creation and evaluation, data engineering and data processing for large scale distributed systems, and software development methodologies. We strongly believe in ownership and challenging the status quo. We expect you to bring critical thinking and long-term design impact while building solutions and products defining system integrations, and cross-cutting concerns. Being part of the architecture function also provides you with the unique ability to enforce new processes and design patterns that will be future-proof while building new services or products. As a thought leader, you will own and lead the complete SDLC from Architecture Design, Development, Test, Operational Readiness, and Platform SRE. Responsibilities As a member of the architecture team, you will be in charge of designing software products, services, and platforms, as well as creating, testing, and managing the systems and applications we create in line with the architecture patterns and standards. As a core member of the Architecture Chapter, you will be expected to advocate for the adoption of software architecture and design patterns among cross-functional teams both within and outside of engineering roles. You will also be expected to act as a mentor and act in capacity as an advisor to the team(s) within the software and AIML domain. As we push for digital transformation throughout the organization, you will constantly be expected to think creatively and optimize and harmonize business processes. Core Responsibilities Lead the development of machine learning models, integration with full stack software ecosystem, data engineering and contribute to the design strategy. Collaborate with product managers and development teams to identify software requirements and define project scopes. Develop and maintain technical documentation, including architecture diagrams, design specifications, and system diagrams. Analyze and recommend new software technologies and platforms to ensure the company stays ahead of the curve. Work with development teams to ensure software projects are delivered on time, within budget, and to the required quality standards. Provide guidance and mentorship to junior developers. Stay up-to-date with industry trends and developments in software architecture and development practices. Required Qualifications Bachelor's or Master's Degree in Computer Science, Machine Learning/AI, or a closely related field. 6+ years of experience in software development, machine learning, data science, and data engineering design. Proven ability to build and manage enterprise-distributed and/or cloud-native systems. Broad knowledge of cutting-edge machine learning models and strong domain expertise in both traditional and deep learning, particularly in areas such as Recommendation Engines, NLP & Transformers, Computer Vision, and Generative AI. Advanced proficiency in Python and frameworks such as FastAPI, Dapr & Flask or equivalent. Deep experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. Hands-on experience building ML models from scratch, transfer learning, and Retrieval Augmented Generation (RAG) using various techniques (Native, Hybrid, C-RAG, Graph RAG, Agentic RAG, and Multi-Agent RAG). Experience building Agentic Systems with SLMs and LLMs using frameworks like Langgraph + Langchain, AutoGen, LlamaIndex, Bedrock, Vertex, Agent Development Kit, Model Context Protocol (MCP)and Haystack or equivalent. Experience in Data Engineering using data lakehouse stacks such as ETL/ELT, and data processing with Apache Hadoop, Spark, Flink, Beam, and dbt. Experience with Data Warehousing and Lakes such as Apache Iceberg, Hudi, Delta Lake, and cloud-managed solutions like OCI Data Lakehouse. Experience in data visualization and analytics with Apache Superset, Apache Zeppelin, Oracle Analytics Cloud or similar. Hands-on experience working with various data types and storage formats, including NoSQL, SQL, Graph databases, and data serialization formats like Parquet and Arrow. Experience with real-time distributed systems using streaming data with Kafka, NiFi, or Pulsar. Strong expertise in software design concepts, patterns (e.g., 12-Factor Apps), and tools to create CNCF-compliant software with hands-on knowledge of containerization technologies like Docker and Kubernetes. Proven ability to build and deploy software applications on one or more public cloud providers (OCI, AWS, Azure, GCP, or similar). Demonstrated ability to write full-stack applications using polyglot programming with languages/frameworks like FastAPI, Python, and Golang. Experience designing API-first systems with application stacks like FARM and MERN, and technologies such as gRPC and REST. Solid understanding of Design Thinking, Test-Driven Development (TDD), BDD, and end-to-end SDLC. Experience in DevOps practices, including Kubernetes, CI/CD, Blue-Green, and Canary deployments. Experience with Microservice architecture patterns, including API Gateways, Event-Driven & Reactive Architecture, CQRS, and SAGA. Familiarity with OOP design principles (SOLID, DRY, KISS, Common Closure, and Module Encapsulation). Proven ability to design software systems using various design patterns (Creational, Structural, and Behavioral). Strong interpersonal skills and the ability to effectively communicate with business stakeholders. Demonstrated ability to drive technology adoption in AIML Solutions and CNCF software stack. Excellent analytical, problem-solving, communication, and leadership skills. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is currently building a future-ready Gen2 cloud Data Science service platform. At the core of this platform, lies Cloud AI Cloud Service. What OCI AI Cloud Services are: A set of services on the public cloud, that are powered by ML and AI to meet the Enterprise modernization needs, and that work out of the box. These services and models can be easily specialized for specific customers/domains by demonstrating existing OCI services. Key Points: Enables customers to add AI capabilities to their Apps and Workflows easily via APIs or Containers, Useable without needing to build AI expertise in-house and Covers key gaps – Decision Support, NLP, for Public Clouds and Enterprise in NLU, NLP, Vision and Conversational AI. You’re Opportunity: As we innovate to provide a single collaborative ML environment for data-science professionals, we will be extremely happy to have you join us and share the very future of our Machine Learning platform - by building an AI Cloud service. We are addressing exciting challenges at the intersection of artificial intelligence and innovative cloud infrastructure. We are building cloud services in Computer vision for Image/Video and Document Analysis, Decision Support (Anomaly Detection, Time series forecasting, Fraud detection, Content moderation, Risk prevention, predictive analytics), Natural Language Processing (NLP), and, Speech that works out of the box for enterprises. Our product vision includes the ability for enterprises to be able to customize the services for their business and train them to specialize in their data by creating micro models that enhance the global AI models. What You’ll Do Develop scalable infrastructure, including microservices and a backend, that automates training, deployment, and optimization of ML model inference. Building a core of Artificial Intelligence and AI services such as Vision, Speech, Language, Decision, and others. Brainstorm and design various POCs using AI Perpetual AI Services for new or existing enterprise problems. Collaborate with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs, understanding theirs, and addressing external and internal shareholder product challenges. Lead research and development efforts to explore new tools, frameworks, and methodologies to improve backend development processes. Experiment with ML models in Python/C++ using machine learning libraries (Pytorch, ONNX, TensorRT, Triton, TensorFlow, Jax), etc. Leverage Cloud technology – Oracle Cloud (OCI), AWS, GCP, Azure, or similar technology. Qualifications Master’s degree or equivalent experience (preferred) in computer science, Statistics or Mathematics, artificial intelligence, machine learning, Computer vision, operations research, or related technical field. 3+ years for PhD or equivalent experience, 5+ years for Masters, or demonstrated ability designing, implementing, and deploying machine learning models in production environments. Practical experience in design, implementation, and production deployment of distributed systems using microservices architecture and APIs using common frameworks like Spring Boot (Java), etc. Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes). Working knowledge of current techniques, approaches, and inference optimization strategies in machine learning models. Experience with performance tuning, scalability, and load balancing techniques. Expert in at least one high-level language such as Java/C++ (Java preferred). Expert in at least one scripting language such as Python, Javascript, and Shell . Deep understanding of data structures, and algorithms, and excellent problem-solving skills. Experience or willingness to learn and work in Agile and iterative development and DevOps processes. Strong drive to learn and master new technologies and techniques. You enjoy a fast-paced work environment. Additional Preferred Qualifications Experience with Cloud Native Frameworks tools and products is a plus Experience in Computer vision tasks like Image Classification, Object Detection, Segmentation, Text detection & recognition, Information extraction from documents, etc. Having an impressive set of GitHub projects or contributions to open-source technologies is a plus Hands-on experience with horizontally scalable data stores such as Hadoop and other NoSQL technologies like Cassandra is a plus. Our vision is to provide an immersive AI experience on Oracle Cloud. Aggressive as it might sound, our growth journey is fueled by highly energetic, technology-savvy engineers like YOU who are looking to grow with us to meet the demands of building a powerful next-generation platform. Are you ready to do something big? Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. 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 Your Role And Responsibilities As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In Your Role, You May Be Responsible For Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Preferred Education Master's Degree Required Technical And Professional Expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred Technical And Professional Experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage Show more Show less

It's about Being What's next. What's in it for you? A Machine Learning Engineer (Global) will be responsible for working in the Artificial Intelligence team, Linde's AI global corporate division engaged with real business challenges and opportunities in multiple countries. Focus of this role is to support the AI team with extending existing and building new AI products for a vast amount of uses cases across Linde’s business and value chain. You'll collaborate across different business and corporate functions in international team composed of Project Managers, Data Scientists, Data and Software Engineers in the AI team and others in the Linde's Global AI team. At Linde, employees can enjoy a range of benefits that make the workplace comfortable and enjoyable. These include loyalty offers, annual leave, an on-site eatery, employee resource groups, and teams that provide support and foster a sense of community. These benefits demonstrate Linde's commitment to creating a positive work experience for its employees. Every day is an opportunity: an opportunity to learn, to grow, to share success, and to contribute to one of the world’s leading industrial gas and engineering companies. Seize the opportunity: take your next step with us and join our team. Linde values diversity and recognizes the importance of fostering inclusion in our work environment. We believe that our success depends on the diverse perspectives of our employees, customers, and global markets. As an employer of choice, we strive to support our employees' growth, welcome new ideas, and respect our differences. Team Making an impact. What will you do? As a Machine Learning Enginee, you will be working closely with our global AI team to create and implement sustainable AI models, algorithms, and software solutions for our global industrial gases and engineering services operations You will participate in the collection, analysis, interpretation, and output of large amounts of data using advanced AI techniques like deep learning, NLP, and computer vision You will develop, train, test and deploy machine learning models in various fields such as computer vision, LLMs, tabular and time series data Experimenting with novel deep learning based technologies such as self-supervised learning and generative AI will also be part of your tasks You will support in setting up the MLOps infrastructure for existing and new AI products Additionally, you will work directly with customer data and set up data pipelines to collect, curate, transform and version data Winning in your role. Do you have what it takes? You have a Bachelor or master’s degree in data science, Computational Statistics/Mathematics, Computer Science or related field In addition you know the basics of neural networks and have an initial practical experience with deep learning frameworks like PyTorch and Tensorflow Further, you have experience in backend and API development with Python (FastAPI, Flask) or similar You demonstrate knowledge of and basic practical experience with Object Oriented Programming, design patterns, algorithms and data structures, version control systems (e.g. Git) Having basic experience with cloud platforms (e.g. Azure), Docker and Kubernetes is a plus Fluency in English is required Why you will love working for us! Linde is a leading global industrial gases and engineering company, operating in more than 100 countries worldwide. We live our mission of making our world more productive every day by providing high-quality solutions, technologies and services which are making our customers more successful and helping to sustain and protect our planet. On the 1st of April 2020, Linde India Limited and Praxair India Private Limited successfully formed a joint venture, LSAS Services Private Limited. This company will provide Operations and Management (O&M) services to both existing organizations, which will continue to operate separately. LSAS carries forward the commitment towards sustainable development, championed by both legacy organizations. It also takes ahead the tradition of the development of processes and technologies that have revolutionized the industrial gases industry, serving a variety of end markets including chemicals & refining, food & beverage, electronics, healthcare, manufacturing, and primary metals. Whatever you seek to accomplish, and wherever you want those accomplishments to take you, a career at Linde provides limitless ways to achieve your potential, while making a positive impact in the world. Be Linde. Be Limitless. Have we inspired you? Let's talk about it! We are looking forward to receiving your complete application (motivation letter, CV, certificates) via our online job market. Any designations used of course apply to persons of all genders. The form of speech used here is for simplicity only. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, pregnancy, sexual orientation, gender identity or expression, or any other reason prohibited by applicable law. Praxair India Private Limited acts responsibly towards its shareholders, business partners, employees, society and the environment in every one of its business areas, regions and locations across the globe. The company is committed to technologies and products that unite the goals of customer value and sustainable development. Show more Show less

It's about Being What's next. What's in it for you? A Data Scientist for AI Products (Global) will be responsible for working in the Artificial Intelligence team, Linde's AI global corporate division engaged with real business challenges and opportunities in multiple countries. Focus of this role is to support the AI team with extending existing and building new AI products for a vast amount of uses cases across Linde’s business and value chain. You'll collaborate across different business and corporate functions in international team composed of Project Managers, Data Scientists, Data and Software Engineers in the AI team and others in the Linde's Global AI team. As a Data Scientist AI, you will support Linde’s AI team with extending existing and building new AI products for a vast amount of uses cases across Linde’s business and value chain" At Linde, the sky is not the limit. If you’re looking to build a career where your work reaches beyond your job description and betters the people with whom you work, the communities we serve, and the world in which we all live, at Linde, your opportunities are limitless. Be Linde. Be Limitless. Team Making an impact. What will you do? You will work directly with a variety of different data sources, types and structures to derive actionable insights Develop, customize and manage AI software products based on Machine and Deep Learning backends will be your tasks Your role includes strong support on replication of existing products and pipelines to other systems and geographies In addition to that you will support in architectural design and defining data requirements for new developments It will be your responsibility to interact with business functions in identifying opportunities with potential business impact and to support development and deployment of models into production Winning in your role. Do you have what it takes? You have a Bachelor or master’s degree in data science, Computational Statistics/Mathematics, Computer Science, Operations Research or related field You have a strong understanding of and practical experience with Multivariate Statistics, Machine Learning and Probability concepts Further, you gained experience in articulating business questions and using quantitative techniques to arrive at a solution using available data You demonstrate hands-on experience with preprocessing, feature engineering, feature selection and data cleansing on real world datasets Preferably you have work experience in an engineering or technology role You bring a strong background of Python and handling large data sets using SQL in a business environment (pandas, numpy, matplotlib, seaborn, sklearn, keras, tensorflow, pytorch, statsmodels etc.) to the role In addition you have a sound knowledge of data architectures and concepts and practical experience in the visualization of large datasets, e.g. with Tableau or PowerBI Result driven mindset and excellent communication skills with high social competence gives you the ability to structure a project from idea to experimentation to prototype to implementation Very good English language skills are required As a plus you have hands-on experience with DevOps and MS Azure, experience in Azure ML, Kedro or Airflow, experience in MLflow or similar Why you will love working for us! Linde is a leading global industrial gases and engineering company, operating in more than 100 countries worldwide. We live our mission of making our world more productive every day by providing high-quality solutions, technologies and services which are making our customers more successful and helping to sustain and protect our planet. On the 1st of April 2020, Linde India Limited and Praxair India Private Limited successfully formed a joint venture, LSAS Services Private Limited. This company will provide Operations and Management (O&M) services to both existing organizations, which will continue to operate separately. LSAS carries forward the commitment towards sustainable development, championed by both legacy organizations. It also takes ahead the tradition of the development of processes and technologies that have revolutionized the industrial gases industry, serving a variety of end markets including chemicals & refining, food & beverage, electronics, healthcare, manufacturing, and primary metals. Whatever you seek to accomplish, and wherever you want those accomplishments to take you, a career at Linde provides limitless ways to achieve your potential, while making a positive impact in the world. Be Linde. Be Limitless. Have we inspired you? Let's talk about it! We are looking forward to receiving your complete application (motivation letter, CV, certificates) via our online job market. Any designations used of course apply to persons of all genders. The form of speech used here is for simplicity only. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, pregnancy, sexual orientation, gender identity or expression, or any other reason prohibited by applicable law. Praxair India Private Limited acts responsibly towards its shareholders, business partners, employees, society and the environment in every one of its business areas, regions and locations across the globe. The company is committed to technologies and products that unite the goals of customer value and sustainable development. Show more Show less

3 - 5 years of experience in AI/ML development, with at least 1 year specifically working with LLMs or autonomous systems Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow) Experience with various models available and deployments on AWS, Azure, and GCP. Experience using pre-trained models and training models when required. Experienced with Azure AI platform. Experience working with modern language models (e.g., GPT-4, Claude, LLaMA, Mistral) Knowledge of prompt engineering, chain-of-thought reasoning, and LLM fine-tuning Understanding of agent frameworks such as LangChain, AutoGPT or similar. Experienced with integration platforms like UI-path, Alteryx etc. Familiarity with reinforcement learning and/or reinforcement learning through human feedback techniques Excellent understanding of REST APIs

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Proven implementation experience in Data Science, Machine Learning, Deep Learning, and NLP for multiple domains. Strong programming skills in Python, with experience in libraries such as Transformers (Hugging Face), PyTorch, or TensorFlow. 6+ years of experience in data science, with at least 2 years focused on LLMs or Generative AI. Hands-on experience with fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluation. Familiarity with vector databases and embedding techniques. Experience deploying models using APIs, Docker, and cloud platforms Strong analytical, problem-solving, and communication skills. Experience in ML Ops, Model deployment, Model lifecycle and management Show more Show less

Why should you choose us? Rakuten Symphony is reimagining telecom, changing supply chain norms and disrupting outmoded thinking that threatens the industrys pursuit of rapid innovation and growth. Based on proven modern infrastructure practices, its open interface platforms make it possible to launch and operate advanced mobile services in a fraction of the time and cost of conventional approaches, with no compromise to network quality or security. Rakuten Symphony has operations in Japan, the United States, Singapore, India, South Korea, Europe, and the Middle East Africa region. For more information, visit: https://symphony.rakuten.com Building on the technology Rakuten used to launch Japans newest mobile network, we are taking our mobile offering global. To support our ambitions to provide an innovative cloud-native telco platform for our customers, Rakuten Symphony is looking to recruit and develop top talent from around the globe. We are looking for individuals to join our team across all functional areas of our business from sales to engineering, support functions to product development. Lets build the future of mobile telecommunications together! About Rakuten Rakuten Group, Inc. (TSE: 4755) is a global leader in internet services that empower individuals, communities, businesses and society. Founded in Tokyo in 1997 as an online marketplace, Rakuten has expanded to offer services in ecommerce, fintech, digital content and communications to approximately 1.5 billion members around the world. The Rakuten Group has over 27,000 employees, and operations in 30 countries and regions. For more information visit https://global.rakuten.com/corp/ Job Summary: The AI Architect is a senior technical leader responsible for designing and implementing the overall AI infrastructure and architecture for the organization. This role will define the technical vision for AI initiatives, select appropriate technologies and platforms, and ensure that AI systems are scalable, reliable, secure, and aligned with business requirements. The AI Architect will work closely with CTO Office, product manager, engineering manager, data scientists, machine learning engineers, and other stakeholders to build a robust and efficient AI ecosystem. Mandatory Skills: Cloud Computing Platforms (AWS, Azure, GCP). AI/ML Frameworks (TensorFlow, PyTorch, scikit-learn) . Data Engineering Tools (Spark, Hadoop, Kafka). Microservices Architecture. AI/ML as a service Deployment. DevOps Principles (CI/CD/CT). Strong understanding of AI/ML algorithms and techniques Roles & Responsibilities: Define the overall AI architecture and infrastructure strategy for the organization. Select appropriate technologies and platforms for AI development and deployment. • Design scalable, reliable, and secure AI systems. Develop and maintain architectural blueprints and documentation. Provide technical leadership and guidance to tech lead, engineering manager, data scientists, machine learning engineers, and other stakeholders. Ensure that AI systems are aligned with business requirements and industry best practices. Evaluate new AI technologies and trends. Collaborate with security and compliance teams to ensure that AI systems meet regulatory requirements. Collaborate with CTO Office to ensure the AI strategy implemented aligned with overall business unit strategy.

About the Role: We are seeking a highly skilled and motivated Process Automation Engineer with experience in leveraging Machine Learning (ML) and Internet of Things (IoT) technologies to optimize processes within the pharmaceutical or biotechnology industry. The ideal candidate will have a strong background in process engineering, data analytics, and automation, and will be responsible for leading the digital transformation of our manufacturing and operational workflows. Key Responsibilities: Design, develop, and implement automated solutions for manufacturing and quality control processes using ML and IoT. Collaborate with cross-functional teams (Engineering, Quality Assurance, IT, and Manufacturing) to identify opportunities for automation and process improvement. Develop and deploy predictive models to enhance production efficiency, reduce downtime, and ensure product quality. Integrate IoT sensors and smart devices into production environments to enable real-time data monitoring and analytics. Lead projects to optimize end-to-end process workflows and ensure compliance with regulatory standards (e.g., FDA, GxP). Analyze large datasets from manufacturing systems and IoT devices to uncover trends, anomalies, and insights. Maintain thorough documentation of all automation solutions, including risk assessments and validation protocols. Requirements: Bachelor’s or Master’s degree in Engineering, Computer Science, Biotechnology, or a related field. 5+ years of experience in process automation, ideally within the pharmaceutical or biotechnology sector. Strong understanding of ML algorithms, data analytics, and IoT technologies. Experience with tools such as Python, R, TensorFlow, SQL, and cloud-based data platforms. Hands-on experience with industrial IoT platforms and smart manufacturing technologies. Familiarity with regulatory environments (FDA, GxP, GMP). Strong problem-solving skills and the ability to work in a highly regulated, data-driven environment. Preferred Qualifications Experience with SCADA systems, MES, or other industrial control systems. Knowledge of digital twin technology or real-time simulation modeling. Experience with deployment of AI/ML models in production environments. Show more Show less

We are seeking a highly skilled and passionate Python Developer to join our dynamic team As a Python Developer, you will play a key role in designing, developing, and maintaining software solutions that drive business value This is an excellent opportunity for an individual who thrives in a fast-paced environment and is eager to work on exciting projects with the latest technologies Responsibilities: Design, develop, and maintain robust Python-based applications Collaborate with cross-functional teams to understand requirements and deliver high-quality solutions Write clean, efficient, and scalable code following best practices Conduct thorough testing of applications to ensure reliability and performance Troubleshoot and debug software issues, ensuring smooth and efficient operation Stay up-to-date with the latest trends and technologies in Python development Participate in code reviews and contribute to improving the development process Document code and software solutions for future reference Requirements: Proven experience as a Python Developer or similar role Strong understanding of Python frameworks such as Django, Flask, or FastAPI Experience with version control systems like Git Knowledge of database systems (SQL, NoSQL) Familiarity with cloud platforms (AWS, Azure, or Google Cloud) Ability to write clean, modular, and reusable code Strong problem-solving skills and attention to detail Excellent communication skills and ability to work collaboratively in a team Familiarity with agile development methodologies Preferred Skills:Experience with machine learning libraries (eg, TensorFlow, Keras, Scikit-learn) Knowledge of containerization technologies like Docker Understanding of front-end technologies (HTML, CSS, JavaScript) is a plus Exposure to DevOps practices and CI/CD pipelines Location - Bengaluru, Noida, Pune, Mumbai, Hyderabad, Mohali, Panchkula, Chennai.

Roles and Responsibilities Design, develop, test, and deploy AI models using Python and deep learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications. Develop REST APIs using Flask or Django for data processing and integration purposes. Troubleshoot issues related to model performance, data quality, and system architecture. Stay up-to-date with industry trends and advancements in artificial intelligence research. Desired Candidate Profile 4-9 years of experience in developing AI models using Python programming language. Strong proficiency in at least two deep learning frameworks (TensorFlow, PyTorch, or scikit-learn). Experience working on projects involving natural language processing (NLP), computer vision, or other areas of machine learning. Bachelor's degree in Any Specialization (B.Tech/B.E.). Hands-on experience with Pandas library for data manipulation and analysis.

We are seeking a highly experienced and technically adept Lead AI/ML Engineer to spearhead the development and deployment of cutting-edge AI solutions, with a focus on Generative AI and Natural Language Processing (NLP). The ideal candidate will be responsible for leading a high-performing team, architecting scalable ML systems, and driving innovation across AI/ML projects using modern toolchains and cloud-native technologies. Key Responsibilities Team Leadership: Lead, mentor, and manage a team of data scientists and ML engineers; drive technical excellence and foster a culture of innovation. AI/ML Solution Development: Design and deploy end-to-end machine learning and AI solutions, including Generative AI and NLP applications. Conversational AI: Build LLM-based chatbots and document intelligence tools using frameworks like LangChain , Azure OpenAI , and Hugging Face . MLOps Execution: Implement and manage the full ML lifecycle using tools such as MLFlow , DVC , and Kubeflow to ensure reproducibility, scalability, and efficient CI/CD of ML models. Cross-functional Collaboration: Partner with business and engineering stakeholders to translate requirements into impactful AI solutions. Visualization & Insights: Develop interactive dashboards and data visualizations using Streamlit , Tableau , or Power BI for presenting model results and insights. Project Management: Own delivery of projects with clear milestones, timelines, and communication of progress and risks to stakeholders. Required Skills & Qualifications Languages & Frameworks: Proficient in Python and frameworks like TensorFlow , PyTorch , Keras , FastAPI , Django NLP & Generative AI: Hands-on experience with BERT , LLaMA , Spacy , LangChain , Hugging Face , and other LLM-based technologies MLOps Tools: Experience with MLFlow , Kubeflow , DVC , ClearML for managing ML pipelines and experiment tracking Visualization: Strong in building visualizations and apps using Power BI , Tableau , Streamlit Cloud & DevOps: Expertise with Azure ML , Azure OpenAI , Docker , Jenkins , GitHub Actions Databases & Data Engineering: Proficient with SQL/NoSQL databases and handling large-scale datasets efficiently Preferred Qualifications Masters or PhD in Computer Science, AI/ML, Data Science, or related field Experience working in agile product development environments Strong communication and presentation skills with technical and non-technical stakeholders

Redefine the future of customer experiences. One conversation at a time. We’re changing the game with a first-of-its-kind, conversation-centric platform that unifies team collaboration and customer experience in one place. Powered by AI, built by amazing humans. Our culture is forward-thinking, customer-obsessed and built on an unwavering belief that connection fuels business and life; connections to our customers with our signature Amazing Service®, our products and services, and most importantly, each other. Since 2008, 100,000+ companies and 1M+ users rely on Nextiva for customer and team communication. If you’re ready to collaborate and create with amazing people, let your personality shine and be on the frontlines of helping businesses deliver amazing experiences, you’re in the right place. Build Amazing - Deliver Amazing - Live Amazing - Be Amazing We are seeking a talented and experienced AI/NLP Engineer to join our dynamic team. The ideal candidate will have a strong background in Artificial Intelligence (AI) , Natural Language Processing (NLP) and Machine Learning (ML) , with proven expertise in fine-tuning, deploying, and optimizing state-of-the-art NLP models. This role demands a hands-on approach to designing, developing, and integrating NLP solutions tailored to solve complex business challenges. If you are passionate about cutting-edge AI, have a knack for deploying scalable models in production environments, and enjoy collaborating with cross-functional teams, we’d love to hear from you! Key Responsibilities Model Development and Fine-tuning: Customize, fine-tune, and optimize open-source NLP models (e.g., LSTM/RNN based, Transformer-based, Conformer-based, and VITS architecture) using transfer learning. Develop and train models from scratch when needed to address specific business challenges. Generative AI & Prompt Engineering: Design effective prompts for generative AI tasks to meet diverse user and business requirements. Build similarity models (e.g., symmetric/asymmetric - gte, bge, Mini-LM) using BERT, XLNET, and cross-encoders for LLM-based Retrieval-Augmented Generation (RAG) use cases. Model Deployment & Optimization: Deploy models at scale using Docker, Kubernetes, and cloud platforms like AWS. Optimize models for performance using techniques such as vLLM (Paged Attention), quantization, and adapter-based fine-tuning - LoRA, QLoRA. Performance Monitoring and Enhancement: Continuously evaluate and enhance model performance to ensure accuracy, scalability, and minimal latency. Build pipelines for data preprocessing, model serving, and monitoring using tools like Airflow and AWS Batch. Collaboration: Work closely with data scientists, software engineers, and product teams to integrate NLP models seamlessly into business applications. Required Skills NLP & Machine Learning: 3+ years of experience in NLP, with expertise in fine-tuning, transfer learning, and developing custom models. Hands-on experience in ASR, TTS, or custom language model architectures (e.g., Auto-regressive transformers, RWKV). Generative AI & Prompt Engineering: Proficiency in designing and crafting prompts for generative AI models aligned with business use cases. Programming Skills: Strong proficiency in Python, with experience in implementing NLP models and building pipelines. Model Deployment: Hands-on experience with Docker, Kubernetes, and cloud-based deployment on platforms such as AWS. Deep Learning Frameworks: Proficiency with TensorFlow, PyTorch, and libraries like Hugging Face Transformers, NLTK, SpaCy, and Gensim. Bonus Skills MLOps & Cloud Services: Experience with AWS (Lambda, Step Functions, Batch), GCP, Azure, or Nemo for model deployment and pipeline management. Large-Scale Deployments: Expertise in scaling AI models and managing SLAs for real-world applications. Preferred Qualifications Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or a related field. Proven track record of working with large datasets and creating robust pipelines for data ingestion and preprocessing. Strong understanding of neural networks and advanced deep learning architectures for NLP. Total Rewards Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. Medical 🩺 – Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity. Group Term & Group Personal Accident Insurance 💼 - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means. Coverage Type - Employee Only Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000 Free Cover Limit - 1.5 Crore Work-Life Balance ⚖️ - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays Financial Security💰 - Provident Fund & Gratuity Wellness 🤸‍ - Employee Assistance Program and comprehensive wellness initiatives Growth 🌱 - Access to ongoing learning and development opportunities and career advancement At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! Established in 2008 and headquartered in Scottsdale, Arizona, Nextiva secured $200M from Goldman Sachs in late 2021, valuing the company at $2.7B.To check out what’s going on at Nextiva, check us out on Instagram, Instagram (MX), YouTube, LinkedIn, and the Nextiva blog. Show more Show less

Redefine the future of customer experiences. One conversation at a time. We’re changing the game with a first-of-its-kind, conversation-centric platform that unifies team collaboration and customer experience in one place. Powered by AI, built by amazing humans. Our culture is forward-thinking, customer-obsessed and built on an unwavering belief that connection fuels business and life; connections to our customers with our signature Amazing Service®, our products and services, and most importantly, each other. Since 2008, 100,000+ companies and 1M+ users rely on Nextiva for customer and team communication. If you’re ready to collaborate and create with amazing people, let your personality shine and be on the frontlines of helping businesses deliver amazing experiences, you’re in the right place. Build Amazing - Deliver Amazing - Live Amazing - Be Amazing We are seeking a talented and experienced AI/NLP Engineer to join our dynamic team. The ideal candidate will have a strong background in Artificial Intelligence (AI) , Natural Language Processing (NLP) and Machine Learning (ML) , with proven expertise in fine-tuning, deploying, and optimizing state-of-the-art NLP models. This role demands a hands-on approach to designing, developing, and integrating NLP solutions tailored to solve complex business challenges. If you are passionate about cutting-edge AI, have a knack for deploying scalable models in production environments, and enjoy collaborating with cross-functional teams, we’d love to hear from you! Key Responsibilities Model Development and Fine-tuning: Customize, fine-tune, and optimize open-source NLP models (e.g., Transformer-based, Conformer-based, and VITS architecture) using transfer learning. Develop and train models from scratch when needed to address specific business challenges. Generative AI & Prompt Engineering: Design effective prompts for generative AI tasks to meet diverse user and business requirements. Build similarity models (e.g., symmetric/asymmetric) using BERT, XLNET, and cross-encoders for LLM-based Retrieval-Augmented Generation (RAG) use cases. Model Deployment & Optimization: Deploy models at scale using Docker, Kubernetes, and cloud platforms like AWS. Optimize models for performance using techniques such as vLLM (Paged Attention), quantization, and adapter-based fine-tuning - LoRA, QLoRA. Performance Monitoring and Enhancement: Continuously evaluate and enhance model performance to ensure accuracy, scalability, and minimal latency. Build pipelines for data preprocessing, model serving, and monitoring using tools like Airflow and AWS Batch. Collaboration: Work closely with data scientists, software engineers, and product teams to integrate NLP models seamlessly into business applications. Required Skills NLP & Machine Learning: 6+ years of experience in NLP, with expertise in fine-tuning, transfer learning, and developing custom models. Hands-on experience in ASR, TTS, or custom language model architectures (e.g., Auto-regressive transformers, RWKV). Generative AI & Prompt Engineering: Proficiency in designing and crafting prompts for generative AI models aligned with business use cases. Programming Skills: Strong proficiency in Python, with experience in implementing NLP models and building pipelines. Model Deployment: Hands-on experience with Docker, Kubernetes, and cloud-based deployment on platforms such as AWS. Deep Learning Frameworks: Proficiency with TensorFlow, PyTorch, and libraries like Hugging Face Transformers, NLTK, SpaCy, and Gensim. Bonus Skills MLOps & Cloud Services: Experience with AWS (Lambda, Step Functions, Batch), GCP, Azure, or Nemo for model deployment and pipeline management. Large-Scale Deployments: Expertise in scaling AI models and managing SLAs for real-world applications. Preferred Qualifications Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or a related field. Proven track record of working with large datasets and creating robust pipelines for data ingestion and preprocessing. Strong understanding of neural networks and advanced deep learning architectures for NLP. Total Rewards Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. Medical 🩺 - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity. Group Term & Group Personal Accident Insurance 💼 - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means. Coverage Type - Employee Only Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000 Free Cover Limit - 1.5 Crore Work-Life Balance ⚖️ - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays Financial Security💰 - Provident Fund & Gratuity Wellness 🤸‍ - Employee Assistance Program and comprehensive wellness initiatives Growth 🌱 - Access to ongoing learning and development opportunities and career advancement At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! Established in 2008 and headquartered in Scottsdale, Arizona, Nextiva secured $200M from Goldman Sachs in late 2021, valuing the company at $2.7B.To check out what’s going on at Nextiva, check us out on Instagram, Instagram (MX), YouTube, LinkedIn, and the Nextiva blog. Show more Show less

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Are you passionate about building innovative solutions with the latest advancements in computer vision and multi-modal Large Language Models? Do you want to contribute to industry-defining software and grow your skills at the cutting edge of AI research and application? At Nielsen Sports, we provide the most comprehensive and trusted data and analytics for the global sports ecosystem, helping clients understand media value, fan behavior, and sponsorship effectiveness. In this role, you will be a key contributor to our mission, developing and implementing AI systems that unlock novel insights from complex multimedia sports data. We are looking for enthusiastic Software Engineers at various levels (MTS-1 to MTS-3) to join our dynamic team. Key Responsibilities: AI/ML System Development: Contribute to the design, development, and implementation of scalable AI/ML systems, with a focus on computer vision and LLM applications for sports media analysis Model Implementation & Training: Develop, train, test, and fine-tune deep learning models (e.g., object detectors like RT-DETR, custom classifiers) on large-scale, domain-specific datasets under the guidance of senior engineers Computer Vision Solutions: Implement computer vision algorithms and models to identify visual elements (e.g., logos, brand assets) in sports content LLM & GenAI Application: Assist in exploring and implementing solutions leveraging LLMs and Generative AI for tasks such as data processing, feature extraction, and supporting model validation Software Development & Deployment: Write high-quality, maintainable code for AI/ML pipelines. Contribute to building APIs and integrating models into Nielsen Sports platforms UI/UX for AI Tools: Develop or assist in developing internal tools and simple user interfaces (using frameworks like Streamlit, Gradio, or web stacks) to showcase model capabilities and support data workflows Learning & Innovation: Actively learn about advancements in computer vision, LLMs, and related AI fields. Contribute to evaluating and prototyping new technologies and methodologies Collaboration: Work closely and collaboratively with senior engineers, data scientists, product managers, and other team members in an agile environment Code Quality & Optimization: Write efficient code and assist in optimizing model performance and resource utilization Data Handling: Participate in data collection, preprocessing, and augmentation efforts to support model development Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field 1-6 years of hands-on software development experience, with a keen interest or experience in AI/ML and Computer Vision Experience with training or implementing deep learning models (e.g., for object detection, classification) using common frameworks Proficiency in Python and experience with deep learning frameworks such as PyTorch (preferred) or TensorFlow/Keras Exposure to or interest in Large Language Models (LLMs) and their applications Familiarity with developing simple UIs or scripting for model interaction or data tasks Understanding of basic MLOps principles and familiarity with tools for model development and deployment (e.g., Docker, Git) Solid software engineering fundamentals, including data structures, algorithms, code versioning (Git), and testing practices Good problem-solving skills and an eagerness to learn and tackle new challenges Strong communication and teamwork skills Nice to have: Full Stack Development experience in any one stack Preferred Qualifications / Bonus Skills: Experience with Generative AI vision models Contributions to open-source projects or personal AI/ML projects Interest in or experience with sports data (broadcast feeds, social media imagery, sponsorship analytics) Familiarity with cloud computing platforms (AWS, GCP, Azure) Experience with video processing basics Exposure to data pipeline tools Ability to quickly learn new technologies and adapt to a fast-paced environment Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Show more Show less

3+ years of experience in software engineering and ML development. Strong proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, or PyTorch. Experience building and evaluating models, along with data preprocessing and feature engineering. Proficiency in REST APIs, Docker, Git, and CI/CD tools. Solid foundation in software engineering principles, including data structures, algorithms, and design patterns. Hands-on experience with MLOps platforms (e.g., MLflow, TFX, Airflow, Kubeflow). Exposure to NLP, large language models (LLMs), or computer vision projects. Experience with cloud platforms (AWS, GCP, Azure) and managed ML services. Contributions to open-source ML libraries or participation in ML competitions (e.g., Kaggle, DrivenData) is a plus.

ROLE AND RESPONSIBILITIES As a Programmer Analyst, lead the engagement efforts at different stages from problem definition to diagnosis to solution design, development & deployment in large implementation and support program. Connect with senior client business and IT stakeholders, demonstrating thought leadership in domain, process, and technology. REQUIRED SKILLS AND EXPERIENCE At least 5 years of pure analytics experience programming in languages Python, R, Experience of working with advanced AI Libraries like Caffe, TensorFlow, Keras, etc. in at least one project. Good understanding of Agile methodologies. Preferred understanding of business processes in the airlines domain / government clients SKILLS Proactive approach to problem solving. Experience in working in Global delivery model (GDM) will be an added advantage. Excellent team management skill High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Show more Show less

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Are you passionate about building innovative solutions with the latest advancements in computer vision and multi-modal Large Language Models? Do you want to contribute to industry-defining software and grow your skills at the cutting edge of AI research and application? At Nielsen Sports, we provide the most comprehensive and trusted data and analytics for the global sports ecosystem, helping clients understand media value, fan behavior, and sponsorship effectiveness. In this role, you will be a key contributor to our mission, developing and implementing AI systems that unlock novel insights from complex multimedia sports data. We are looking for enthusiastic Software Engineers at various levels (MTS-1 to MTS-3) to join our dynamic team. Key Responsibilities: AI/ML System Development: Contribute to the design, development, and implementation of scalable AI/ML systems, with a focus on computer vision and LLM applications for sports media analysis Model Implementation & Training: Develop, train, test, and fine-tune deep learning models (e.g., object detectors like RT-DETR, custom classifiers) on large-scale, domain-specific datasets under the guidance of senior engineers Computer Vision Solutions: Implement computer vision algorithms and models to identify visual elements (e.g., logos, brand assets) in sports content LLM & GenAI Application: Assist in exploring and implementing solutions leveraging LLMs and Generative AI for tasks such as data processing, feature extraction, and supporting model validation Software Development & Deployment: Write high-quality, maintainable code for AI/ML pipelines. Contribute to building APIs and integrating models into Nielsen Sports platforms UI/UX for AI Tools: Develop or assist in developing internal tools and simple user interfaces (using frameworks like Streamlit, Gradio, or web stacks) to showcase model capabilities and support data workflows Learning & Innovation: Actively learn about advancements in computer vision, LLMs, and related AI fields. Contribute to evaluating and prototyping new technologies and methodologies Collaboration: Work closely and collaboratively with senior engineers, data scientists, product managers, and other team members in an agile environment Code Quality & Optimization: Write efficient code and assist in optimizing model performance and resource utilization Data Handling: Participate in data collection, preprocessing, and augmentation efforts to support model development Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field 1-6 years of hands-on software development experience, with a keen interest or experience in AI/ML and Computer Vision Experience with training or implementing deep learning models (e.g., for object detection, classification) using common frameworks Proficiency in Python and experience with deep learning frameworks such as PyTorch (preferred) or TensorFlow/Keras Exposure to or interest in Large Language Models (LLMs) and their applications Familiarity with developing simple UIs or scripting for model interaction or data tasks Understanding of basic MLOps principles and familiarity with tools for model development and deployment (e.g., Docker, Git) Solid software engineering fundamentals, including data structures, algorithms, code versioning (Git), and testing practices Good problem-solving skills and an eagerness to learn and tackle new challenges Strong communication and teamwork skills Nice to have: Full Stack Development experience in any one stack Preferred Qualifications / Bonus Skills: Experience with Generative AI vision models Contributions to open-source projects or personal AI/ML projects Interest in or experience with sports data (broadcast feeds, social media imagery, sponsorship analytics) Familiarity with cloud computing platforms (AWS, GCP, Azure) Experience with video processing basics Exposure to data pipeline tools Ability to quickly learn new technologies and adapt to a fast-paced environment Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Show more Show less

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Are you passionate about building innovative solutions with the latest advancements in computer vision and multi-modal Large Language Models? Do you want to contribute to industry-defining software and grow your skills at the cutting edge of AI research and application? At Nielsen Sports, we provide the most comprehensive and trusted data and analytics for the global sports ecosystem, helping clients understand media value, fan behavior, and sponsorship effectiveness. In this role, you will be a key contributor to our mission, developing and implementing AI systems that unlock novel insights from complex multimedia sports data. We are looking for enthusiastic Software Engineers at various levels (MTS-1 to MTS-3) to join our dynamic team. Key Responsibilities: AI/ML System Development: Contribute to the design, development, and implementation of scalable AI/ML systems, with a focus on computer vision and LLM applications for sports media analysis Model Implementation & Training: Develop, train, test, and fine-tune deep learning models (e.g., object detectors like RT-DETR, custom classifiers) on large-scale, domain-specific datasets under the guidance of senior engineers Computer Vision Solutions: Implement computer vision algorithms and models to identify visual elements (e.g., logos, brand assets) in sports content LLM & GenAI Application: Assist in exploring and implementing solutions leveraging LLMs and Generative AI for tasks such as data processing, feature extraction, and supporting model validation Software Development & Deployment: Write high-quality, maintainable code for AI/ML pipelines. Contribute to building APIs and integrating models into Nielsen Sports platforms UI/UX for AI Tools: Develop or assist in developing internal tools and simple user interfaces (using frameworks like Streamlit, Gradio, or web stacks) to showcase model capabilities and support data workflows Learning & Innovation: Actively learn about advancements in computer vision, LLMs, and related AI fields. Contribute to evaluating and prototyping new technologies and methodologies Collaboration: Work closely and collaboratively with senior engineers, data scientists, product managers, and other team members in an agile environment Code Quality & Optimization: Write efficient code and assist in optimizing model performance and resource utilization Data Handling: Participate in data collection, preprocessing, and augmentation efforts to support model development Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field 1-6 years of hands-on software development experience, with a keen interest or experience in AI/ML and Computer Vision Experience with training or implementing deep learning models (e.g., for object detection, classification) using common frameworks Proficiency in Python and experience with deep learning frameworks such as PyTorch (preferred) or TensorFlow/Keras Exposure to or interest in Large Language Models (LLMs) and their applications Familiarity with developing simple UIs or scripting for model interaction or data tasks Understanding of basic MLOps principles and familiarity with tools for model development and deployment (e.g., Docker, Git) Solid software engineering fundamentals, including data structures, algorithms, code versioning (Git), and testing practices Good problem-solving skills and an eagerness to learn and tackle new challenges Strong communication and teamwork skills Nice to have: Full Stack Development experience in any one stack Preferred Qualifications / Bonus Skills: Experience with Generative AI vision models Contributions to open-source projects or personal AI/ML projects Interest in or experience with sports data (broadcast feeds, social media imagery, sponsorship analytics) Familiarity with cloud computing platforms (AWS, GCP, Azure) Experience with video processing basics Exposure to data pipeline tools Ability to quickly learn new technologies and adapt to a fast-paced environment Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Show more Show less

Overview Job Description Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor’s “Best Places to Work.” Seeking an astute individual that has a strong technical foundation with ability to be hands-on on developing/building automation to improve efficiency, productivity, and customer experience. Deep knowledge of industry best practices, with the ability to implement them working with larger team cloud, support, and the product teams. Scope We are seeking a highly skilled AI/Prompt Engineer to design, implement, and maintain artificial intelligence (AI) and machine learning (ML) solutions for our organization. The ideal candidate will have a deep understanding of AI and ML technologies, as well as experience with data analysis, software development, and cloud computing. Primary Responsibilities Design and implement AI/ conversational AI solutions and ML solutions to solve business problems and to improve customer experience and operational efficiency. Develop and maintain machine learning models using tools such as TensorFlow, Keras, and PyTorch Collaborate with cross-functional teams to identify opportunities for AI and ML solutions and develop prototypes and proof-of-concepts. Develop and maintain data pipelines and ETL processes to support AI and ML workflows. Monitor and optimize model performance, accuracy, and scalability Stay up to date with emerging AI and ML technologies and evaluate their potential impact on our organization. Develop and maintain technical documentation, including architecture diagrams, design documents, and standard operating procedures Provide technical guidance and mentorship to other members of the data engineering and software development teams. Develop and maintain chatbots and voice assistants using tools such as Dialogflow, Amazon Lex, and Microsoft Bot Framework Develop and maintain integrations with third-party systems and APIs to support conversational AI workflows. Develop and maintain technical documentation, including architecture diagrams, design documents, and standard operating procedures. Provide technical guidance and mentorship to other team members. What We Are Looking For Bachelor’s degree in computer science, Information Technology, or a related field with 3+ years of experience in conversational AI engineering, design, and implementation Strong understanding of NLP technologies, including intent recognition, entity extraction, and sentiment analysis Experience with software development, including proficiency in Python and familiarity with software development best practices and tools (Git, Agile methodologies, etc.) Familiarity with cloud computing platforms (AWS, Azure, Google Cloud) and related services (S3, EC2, Lambda, etc.) Experience with big data technologies (Hadoop, Spark, etc.) Experience with containerization (Docker, Kubernetes) Experience with data visualization tools (Tableau, Power BI, etc.) Experience with reinforcement learning and/or generative models. Experience with machine learning technologies and frameworks (TensorFlow, Keras, etc.) Experience with big data technologies (Hadoop, Spark, etc.) Strong communication and collaboration skills Strong attention to detail and ability to prioritize tasks effectively. Strong problem-solving and analytical skills Ability to work independently and as part of a team. Strong attention to detail and ability to prioritize tasks effectively. Experience working with cloud platforms like AWS, Google Cloud, or Azure. Knowledge of big data technologies such as Apache Spark, Hadoop, or Kafka is a plus. Strong problem-solving and analytical skills. Ability to work in an agile and fast-paced development environment. Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Show more Show less

"Location: Mohali. Looking for candidates who can work in office." We are seeking an experienced AI/ML Developer to design, develop, and deploy advanced machine learning, computer vision, and natural language processing (NLP) solutions. This role requires expertise in AI-driven development, automation, and deep learning to build scalable and efficient applications. Responsibilities: 1. Design, develop, and implement AI/ML models for real-world applications. 2. Develop and optimize NLP models for text analysis, sentiment detection, and chatbot applications. 3. Implement Agentic AI solutions to create adaptive and autonomous AI-driven systems. 4. Develop, fine-tune, and integrate AI chatbots using OpenAI's ChatGPT API or similar LLMs. 5. Utilize TensorFlow to build and fine-tune deep learning models. 6. Optimize model performance, accuracy, and scalability for production environments. 7. Integrate AI/ML solutions with web and mobile applications. 8. Stay updated with emerging advancements in AI, ML, and deep learning. 9. Familiarity with Git, MLOps, and deployment pipelines. 10. Experience with PyTorch, Hugging Face, LangChain, Reinforcement Learning, and Edge AI . Exp: 2-4yrs No salary bar for deserving candidates. Interested candidates can share the CV at hr@esferasoft.com or can contact at 7723000068. Regards Kanika Garg HR Manager Show more Show less

Maximize Your Impact with TP Welcome to TP, a global hub of innovation and empowerment, where we redefine the future. With a remarkable €10 billion annual revenue and a global team of 500,000 employees serving 170 countries in over 300 languages, we lead in intelligent, digital-first solutions. As a globally certified Great Place to Work in 72 countries, our culture thrives on diversity, equity, and inclusion. We value your unique perspective and believe that your talent is the missing piece that completes our vision for a brighter, digitally driven tomorrow. The Opportunity Teleperformance’s AIML/GenAI ecosystem is a fast-paced and dynamic environment. As the Global AI Strategy & Solutions Lead , you will collaborate across TP.ai to drive the delivery of high-impact AI solutions aligned with business objectives. In this role, you will lead the development and execution of a strategic research and delivery of our unique solution offering agenda in AI, ensuring the implementation of cutting-edge capabilities for our clients and markets. You will oversee the end-to-end lifecycle of AIML/GenAI solutions, from gathering initial requirements to selection, design, and scalable deployment—while ensuring cross-functional alignment between operations and engineering teams. Additionally, you will play a key role in understanding client priorities, aligning AI operations to business needs, and optimizing resource capacity planning. Maintaining strong customer relationships and ensuring seamless execution of AI initiatives will be critical to success in this role. The Responsibilities & Duties Define, structure, and execute strategic AI/ML initiatives focused on production operations, ensuring effective governance of AIML platforms and the development of an AI operating and engagement model. Identify, diagnose, and resolve solution and performance challenges by researching and applying the latest AI advancements to enhance core business products. Develop AI acceleration strategies and collaborate across teams to integrate AIML/GenAI solutions into internal and external platforms. Design and apply data analysis methodologies, including data mining, statistics, machine learning, NLP, sentiment analysis, and text mining, to drive insights. Lead initiatives to enhance product and process quality, improving efficiency and scalability. Build and sustain a high-performing AI Solutions team by recruiting top talent, providing ongoing training, and mentoring staff. Unify, enrich, and analyze customer data to generate actionable insights and new business opportunities. Leverage existing in-house data platforms and recommend/build new solutions to exceed business requirements. Clearly communicate findings, recommendations, and optimization strategies for data systems and AI solutions. Partner with the business development team to design and execute AIML/GenAI solutions based on client needs. Demonstrate a deep understanding of AI concepts, tools, and methodologies, and effectively mentor teams on best practices. Apply data-driven approaches to align AI/ML solutions with specific business outcomes. Collaborate, influence, and build consensus across teams through strong relationships and active listening. The Qualifications BA/BS or Masters in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, or a related technical field. 10+ years of experiencein AI/ML, Generative AI, data science, or related fields, with a focus on strategy, solutioning, and implementation. Proven experience leading global AI/ML initiatives, driving AI transformation, and scaling AI/ML solutions across multiple industries. Strong knowledge of machine learning, deep learning, natural language processing (NLP), computer vision, and Generative AI frameworks (e.g., TensorFlow, Hugging Face, OpenAI etc). Experience with data services such as data labeling, annotation, synthetic data generation, and data pipeline management. Expertise in MLOps, AI model lifecycle management, and AI/ML infrastructure optimization. Familiarity with AI model training, fine-tuning, and deploymentin cloud environments (e.g., AWS, Google Cloud, Azure). Understanding of AI ethics, bias mitigation, and Trust & Safety principles related to AI/ML and GenAI applications. Deep understanding of AI security, model robustness, and adversarial attacks. Familiarity with federated learning, privacy-preserving AI, and regulatory AI frameworks. Proven ability to define and execute AI/ML strategies, aligning solutions with business goals and market trends. Experience in leading cross-functional teams, including data scientists, AI engineers, product managers, and business stakeholders. Strong background in AI governance, risk management, and regulatory compliance (GDPR, CCPA, AI Act, etc.). Experience in designing and implementing AI Center of Excellence (CoE)and AI operating models. Ability to translate complex AI concepts into actionable business strategies and clearly communicate with executives and non-technical stakeholders. Strong experience in AI-driven product development, GTM strategy, and AI monetization models. Expertise in managing AI partnerships, vendor selection, and external collaborations. Exceptional problem-solving, analytical thinking, and decision-making skills. Foster a collaborative and team-oriented approach when working with large teams. Ph.D. in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Engineering, or a related technical field. 15+ years of experiencein AI/ML, GenAI, or related fields, with extensive leadership in AI strategy, innovation, and implementation at a global scale. Proven experience driving AI adoption across diverse industries such as technology, finance, healthcare, retail, and media. Strong background in AI research and development (R&D)and productization of AI/ML models. Hands-on experience with cutting-edge AI technologies, including LLMs (Large Language Models), multimodal AI, reinforcement learning, and edge AI. Experience in building and scaling AI Centers of Excellence (CoE) within large enterprises. Strong track record in AI-driven business transformation and innovation strategy. Ability to influence C-suite executives and board-level discussionson AI investments and roadmaps. Proven expertise in AI ethics, responsible AI development, and regulatory compliance (GDPR, CCPA, EU AI Act, etc.). Experience launching AI-based products and services, including pricing and monetization strategies. Established thought leadership in AI/ML, with publications, patents, or keynote speaking engagements at industry conferences (e.g., NeurIPS, AI Summit, TrustCon, Data+AI Summit). Strong network and relationships within AI research communities, academia, startups, and industry consortia. Experience securing AI-related funding, partnerships, and alliances with BigTech, startups, and regulatory bodies. Pre-Employment Screenings By TP policy, employment in this position will be contingent on your successful completion and passage of a comprehensive background check, including global sanctions and watch list screening. Important | Policy on Unsolicited Third-Party Candidate Submissions TP does not accept candidate submissions from unsolicited third parties, including recruiters or headhunters. Applications will not be considered, and no contractual association will be established through such submissions. Diversity, Equity & Inclusion At TP, we are committed to fostering a diverse, equitable, and inclusive workplace. We welcome individuals from all backgrounds and lifestyles and do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or other differences. Show more Show less