Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Fiche De Poste DATA SCIENTIST Job Summary This Data Scientist creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects. Responsibilities Defines key data sources from UPS and external sources to deliver models. Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems. For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts. Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs. Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives. Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling. Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders. Presents operationalized analytic findings and provides recommendations. Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction. Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions. Qualifications Expertise in R, SQL, Python and/or any other high-level languages. Exploratory data analysis (EDA), data engineering and development of advanced analytics models. Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras. Experience applying models from small to medium scaled problems. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach. Expertise with statistical techniques, machine learning, and/or operations research and their application in business. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production. Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows. Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains. Familiarity with Java or C++ is a plus. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Last Day Posted - 2/25/2024 Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description JOB SUMMARY This position creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects. Responsibilities Defines key data sources from UPS and external sources to deliver models. Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems. For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs. Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives. Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling. Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders. Presents operationalized analytic findings and provides recommendations. Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions. Qualifications Requirements: Ability to take a data science problem from start to finish, use pytorch/tensorflow to build the full model product. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Expertise with statistical techniques, machine learning or operations research and their application in business applications. Expertise in R, SQL, Python. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale. Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows. Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Preferences Familiarity with Java or C++ Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Job Description: Machine Learning Engineer - US Healthcare Claims Management Position: MLOps Engineer - US Healthcare Claims Management Location: Gurgaon, Delhi NCR, India Company: Neolytix About the Role: We are seeking an experienced MLOps Engineer to build, deploy, and maintain AI/ML systems for our healthcare Revenue Cycle Management (RCM) platform. This role will focus on operationalizing machine learning models that analyze claims, prioritize denials, and optimize revenue recovery through automated resolution pathways. Key Tech Stack: Models & ML Components: Fine-tuned healthcare LLMs (GPT-4, Claude) for complex claim analysis Knowledge of Supervised/Unsupervised Models, Optimization & Simulation techniques Domain-specific SLMs for denial code classification and prediction Vector embedding models for similar claim identification NER models for extracting critical claim information Seq2seq models (automated appeal letter generation) Languages & Frameworks: Strong proficiency in Python with OOP principles - Experience developing APIs using Flask or Fast API frameworks – Integration knowledge with front-end applications – Expertise in version control systems (e.g., GitHub, GitLab, Azure DevOps) - Proficiency in databases, including SQL, NoSQL and vector databases – Experience with Azure Libraries: PyTorch/TensorFlow/Hugging Face Transformers Key Responsibilities: ML Pipeline Architecture: Design and implement end-to-end ML pipelines for claims processing, incorporating automated training, testing, and deployment workflows Model Deployment & Scaling: Deploy and orchestrate LLMs and SLMs in production using containerization (Docker/Kubernetes) and Azure cloud services Monitoring & Observability: Implement comprehensive monitoring systems to track model performance, drift detection, and operational health metrics CI/CD for ML Systems: Establish CI/CD pipelines specifically for ML model training, validation, and deployment Data Pipeline Engineering: Create robust data preprocessing pipelines for healthcare claims data, ensuring compliance with HIPAA standards Model Optimization: Tune and optimize models for both performance and cost-efficiency in production environments Infrastructure as Code: Implement IaC practices for reproducible ML environments and deployments Document technical solutions & create best practices for scalable AI-driven claims management What Sets You Apart: Experience operationalizing LLMs for domain-specific enterprise applications Background in healthcare technology or revenue cycle operations Track record of improving model performance metrics in production systems What We Offer: Competitive salary and benefits package Opportunity to contribute to innovative AI solutions in the healthcare industry Dynamic and collaborative work environment Opportunities for continuous learning and professional growth To Apply: Submit your resume and a cover letter detailing your relevant experience and interest in the role to vidya@neolytix.com Powered by JazzHR aAuhzbQDU5 Show more Show less

Join us as a Machine Learning Engineer In this role, you’ll be driving and embedding the deployment, automation, maintenance and monitoring of machine learning models and algorithms Day-to-day, you’ll make sure that models and algorithms work effectively in a production environment while promoting data literacy education with business stakeholders If you see opportunities where others see challenges, you’ll find that this solutions-driven role will be your chance to solve new problems and enjoy excellent career development What you’ll do Your daily responsibilities will include you collaborating with colleagues to design and develop advanced machine learning products which power our group for our customers. You’ll also codify and automate complex machine learning model productions, including pipeline optimisation. We’ll expect you to transform advanced data science prototypes and apply machine learning algorithms and tools. You’ll also plan, manage, and deliver larger or complex projects, involving a variety of colleagues and teams across our business. You’ll Also Be Responsible For Understanding the complex requirements and needs of business stakeholders, developing good relationships and how machine learning solutions can support our business strategy Working with colleagues to productionise machine learning models, including pipeline design and development and testing and deployment, so the original intent is carried over to production Creating frameworks to ensure robust monitoring of machine learning models within a production environment, making sure they deliver quality and performance Understanding and addressing any shortfalls, for instance, through retraining Leading direct reports and wider teams in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and Scrum outcomes The skills you’ll need To be successful in this role, you’ll need to have a good academic background in a STEM discipline, such as Mathematics, Physics, Engineering or Computer Science. You’ll also have the ability to use data to solve business problems, from hypotheses through to resolution. We’ll look to you to have experience of at least twelve years with machine learning on large datasets, as well as experience building, testing, supporting, and deploying advanced machine learning models into a production environment using modern CI/CD tools, including git, TeamCity and CodeDeploy. You’ll Also Need A good understanding of machine learning approaches and algorithms such as supervised or unsupervised learning, deep learning, NLP with a strong focus on model development, deployment, and optimization Experience using Python with libraries such as NumPy, Pandas, Scikit-learn, and TensorFlow or PyTorch An understanding of PySpark for distributed data processing and manipulation with AWS (Amazon Web Services) including EC2, S3, Lambda, SageMaker, and other cloud tools. Experience with data processing frameworks such as Apache Kafka, Apache Airflow and containerization technologies such as Docker and orchestration tools such as Kubernetes Experience of building GenAI solutions to automate workflows to improve productivity and efficiency Show more Show less

Join us as a Principal Engineer This is a challenging role that will see you design and engineer software with the customer or user experience as the primary objective With your software development background, you’ll be working with architects to help define major components of the business-wide target architecture and roadmap You’ll gain valuable senior stakeholder exposure as well as the opportunity to hone your technical talents and leadership skills We're offering this role at director level What you'll do As a Principal Engineer, you’ll be creating great customer outcomes via engineering and innovative solutions to existing and new challenges, and technology designs which are innovative, customer centric, high performance, secure and robust. You’ll be leading the more significant, complex and technically challenging assignments, coordinating multiple feature teams, making sure that their technical journeys support realisation of the targets, and deliver the values of the relevant metrics published to our investors. You’ll Also Be Defining, creating and providing oversight and governance of engineering and design solutions with a focus on end-to-end automation, simplification, resilience, security, performance, scalability and reusability Working within a platform or feature team along with software engineers to design and engineer complex software, scripts and tools to enable the delivery of bank platforms, applications and services, acting as a point of contact for solution design considerations Defining and developing architecture models and roadmaps of application and software components to meet business and technical requirements, driving common usability across products and domains Influencing the development of strategies and architecture at domain and enterprise levels, identifying transformational opportunities for the businesses and technology areas The skills you'll need You’ll come with significant experience in software engineering, software or database design and architecture, as well as experience of developing software within a DevOps and Agile framework. Along with an expert understanding of the latest market trends, technologies and tools, you’ll bring significant and demonstrable experience of implementing programming best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance. You’ll Also Need Proven proficiency in Java, .net, Python, Angular A strong background in cloud platform such as AWS A background of working with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, MLflow Significant and demonstrable experience of test-driven development and using automated test frameworks, mocking and stubbing and unit testing tools The ability to rapidly and effectively understand and translate product and business requirements into technical solution Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 15 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and mentoring within the team to enhance overall performance. - Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of cloud-based AI services and their integration. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions. Additional Information: - The candidate should have minimum 12 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required. Show more Show less

We are looking for a versatile and independent AI Developer who excels in combining traditional coding with no-code/low-code tools to build intelligent automation workflows and AI-driven systems. This is a high-impact role for someone who enjoys solving complex business challenges through smart integrations, conversational AI, and scalable automation. Key Responsibilities: Architect and implement end-to-end AI-powered automation systems , combining code and no-code workflows. Build and maintain custom integrations with external APIs, automation tools, CRMs, and AI services (OpenAI, TTS/STT engines, etc.). Develop backend logic using Python, Node.js , or similar technologies to support AI workflows and data handling. Create and optimize data pipelines , scraping bots, and voice/text-based AI interfaces. Utilize tools like Make.com, Apify, Airtable, Zapier, Glide , or similar platforms to accelerate delivery. Collaborate with non-technical stakeholders and independently manage development cycles , from requirement gathering to deployment. Ensure performance, scalability, and maintainability of systems across various business use cases. Required Skills: Strong proficiency in Python, JavaScript/Node.js , or relevant backend languages. Deep familiarity with AI/ML concepts , especially around LLMs, natural language processing, and prompt engineering. Hands-on experience with no-code platforms like Make.com, Airtable, Apify, Glide, Zapier , etc. Expertise in integrating third-party APIs , including communication APIs (e.g., Twilio, WhatsApp). Understanding of voice and chat-based AI workflows using tools like OpenAI, Whisper, and ElevenLabs. Ability to handle projects independently with minimal supervision. Nice-to-Have: Experience with CRM integration , sales or outreach automation tools. Knowledge of data scraping, RPA , or chatbot frameworks. Familiarity with serverless deployment , Firebase, or cloud-based automation. Background in B2B tools , SaaS environments, or enterprise automation is a plus. Ideal Candidate Traits: Entrepreneurial mindset with a passion for automation and AI. Self-starter who thrives in fast-paced, outcome-driven environments. Excellent communication and collaboration skills. Strong sense of accountability, quality, and initiative. What We Offer: Opportunity to lead critical automation projects from day one. Freedom to explore creative solutions using the best of code and no-code tools. A growth-oriented environment with long-term potential.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 15 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities: - Expected to be a Subject Matter Expert with deep knowledge and experience. - Should have influencing and advisory skills. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities and understanding of AI technologies. - Evaluate and recommend new tools and technologies that can improve the efficiency and effectiveness of AI solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Experience with cloud-based AI services and deployment strategies. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with data preprocessing and feature engineering techniques. - Ability to design and implement neural network architectures for various applications. Additional Information: - The candidate should have minimum 15 years of experience in Machine Learning. - This position is based at our Mumbai office. - A 15 years full time education is required. Show more Show less

Our Company: We’re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We’re crucial to the company’s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. The team: Hitachi Digital is a leader in digital transformation, leveraging advanced AI technologies to drive innovation and efficiency across various operational companies (OpCos) and departments. We are seeking an experienced Senior AI Developer to support our new AI initiatives and enhance our existing Agentic AI capabilities. This role will involve building new AI products and refining current models to meet the evolving needs of our business. The Role Lead the design, development, and implementation of AI models and algorithms using Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Drive new AI initiatives across different OpCos and departments, ensuring seamless integration and functionality. Enhance and refine existing Agentic AI capabilities to improve performance and scalability. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. Conduct research and stay updated on the latest advancements in AI technologies and methodologies. Optimize AI models for performance, scalability, and accuracy. Troubleshoot and resolve complex issues related to AI systems and applications. Document AI development processes, methodologies, and best practices. Mentor junior developers and participate in code reviews, providing constructive feedback to team members. What You’ll Bring Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 4+ experience in AI model development, with a focus on Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Strong programming skills in languages such as Python, Java, or C++. Primary experience with Google Cloud Platform (GCP); experience with AWS and Azure is a plus. Experience with GPU-based AI model development is a plus. Prior experience with Generative AI (GenAI) and Large Language Models (LLMs) is required. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Knowledge of machine learning algorithms, neural networks, and natural language processing. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications Familiarity with data science tools and techniques. Previous experience in a similar role within a tech-driven company. About us: We’re a global, 1000-strong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We’re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you’re not just another employee; you’re part of a tradition of excellence and a community working towards creating a digital future. Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How We Look After You We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success. Show more Show less

Our Company We’re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We’re crucial to the company’s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. The Team: Hitachi Digital is a leader in digital transformation, leveraging advanced AI technologies to drive innovation and efficiency across various operational companies (OpCos) and departments. We are seeking an experienced Lead AI Engineer to spearhead our new AI initiatives and enhance our existing Agentic AI capabilities. This role will involve building new AI products and refining current models to meet the evolving needs of our business. The Role Lead the design, development, and implementation of AI models and algorithms using Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Drive new AI initiatives across different OpCos and departments, ensuring seamless integration and functionality. Enhance and refine existing Agentic AI capabilities to improve performance and scalability. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. Conduct research and stay updated on the latest advancements in AI technologies and methodologies. Optimize AI models for performance, scalability, and accuracy. Troubleshoot and resolve complex issues related to AI systems and applications. Document AI development processes, methodologies, and best practices. Mentor junior developers and participate in code reviews, providing constructive feedback to team members. What you’ll bring: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 7+ years of experience in AI model development, with a focus on Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Strong programming skills in languages such as Python, Java, or C++. Primary experience with Google Cloud Platform (GCP); experience with AWS and Azure is a plus. Experience with GPU-based AI model development is a plus. Prior experience with Generative AI (GenAI) and Large Language Models (LLMs) is required. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Knowledge of machine learning algorithms, neural networks, and natural language processing. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications: Familiarity with data science tools and techniques. Previous experience in a similar role within a tech-driven company. About Us We’re a global, 1000-strong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We’re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you’re not just another employee; you’re part of a tradition of excellence and a community working towards creating a digital future. Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How We Look After You We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success. Show more Show less

Our Company We’re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We’re crucial to the company’s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. The Team: Hitachi Digital is a leader in digital transformation, leveraging advanced AI technologies to drive innovation and efficiency across various operational companies (OpCos) and departments. We are seeking an experienced Lead AI Engineer to spearhead our new AI initiatives and enhance our existing Agentic AI capabilities. This role will involve building new AI products and refining current models to meet the evolving needs of our business. The Role Lead the design, development, and implementation of AI models and algorithms using Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Drive new AI initiatives across different OpCos and departments, ensuring seamless integration and functionality. Enhance and refine existing Agentic AI capabilities to improve performance and scalability. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. Conduct research and stay updated on the latest advancements in AI technologies and methodologies. Optimize AI models for performance, scalability, and accuracy. Troubleshoot and resolve complex issues related to AI systems and applications. Document AI development processes, methodologies, and best practices. Mentor junior developers and participate in code reviews, providing constructive feedback to team members. What you’ll bring: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 7+ years of experience in AI model development, with a focus on Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Strong programming skills in languages such as Python, Java, or C++. Primary experience with Google Cloud Platform (GCP); experience with AWS and Azure is a plus. Experience with GPU-based AI model development is a plus. Prior experience with Generative AI (GenAI) and Large Language Models (LLMs) is required. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Knowledge of machine learning algorithms, neural networks, and natural language processing. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications: Familiarity with data science tools and techniques. Previous experience in a similar role within a tech-driven company. About Us We’re a global, 1000-strong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We’re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you’re not just another employee; you’re part of a tradition of excellence and a community working towards creating a digital future. Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How We Look After You We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success. Show more Show less

Our Company: We’re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We’re crucial to the company’s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. The team: Hitachi Digital is a leader in digital transformation, leveraging advanced AI technologies to drive innovation and efficiency across various operational companies (OpCos) and departments. We are seeking an experienced Senior AI Developer to support our new AI initiatives and enhance our existing Agentic AI capabilities. This role will involve building new AI products and refining current models to meet the evolving needs of our business. The Role Lead the design, development, and implementation of AI models and algorithms using Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Drive new AI initiatives across different OpCos and departments, ensuring seamless integration and functionality. Enhance and refine existing Agentic AI capabilities to improve performance and scalability. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. Conduct research and stay updated on the latest advancements in AI technologies and methodologies. Optimize AI models for performance, scalability, and accuracy. Troubleshoot and resolve complex issues related to AI systems and applications. Document AI development processes, methodologies, and best practices. Mentor junior developers and participate in code reviews, providing constructive feedback to team members. What You’ll Bring Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 4+ experience in AI model development, with a focus on Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Strong programming skills in languages such as Python, Java, or C++. Primary experience with Google Cloud Platform (GCP); experience with AWS and Azure is a plus. Experience with GPU-based AI model development is a plus. Prior experience with Generative AI (GenAI) and Large Language Models (LLMs) is required. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Knowledge of machine learning algorithms, neural networks, and natural language processing. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications Familiarity with data science tools and techniques. Previous experience in a similar role within a tech-driven company. About us: We’re a global, 1000-strong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We’re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you’re not just another employee; you’re part of a tradition of excellence and a community working towards creating a digital future. Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How We Look After You We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success. Show more Show less

Grow with us About this opportunity: It will be practically impossible for human brains to understand how to run and optimize next generation of wireless networks, i.e., 5G networks with distributed edge compute, that will drive economic and social transformation for all aspects of society. Machine Learning (ML) and other Artificial Intelligence (AI) technologies will be vital for us to handle this opportunity. We are expanding the Ericsson MLOps Engineering Unit with tech savvy developers with right attitude and skillset. MLOps is an iterative process for building, deploying, operationalizing, and observing AI/ML systems. MLOps aim is to manage the end-to-end life cycle of AI/ML models through all the phases, experimentation, development, deployment, model performance monitoring and re-training and, when needed, re-design and re-architecture to keep models operating in optimal conditions in production environments. A MLOps platform provides services and components to assist and guide organizations through this iterative process. MLOps platform components are designed to overcome the challenges to develop and operate AI/ML systems at industrial scale on production environments. Role Summary As a Software Engineer , you will build and deploy MLOps Services and components, enabling AI Use Cases Development and Production deployment with focus on scaling, monitoring and performance, re-using the MLOps Platform. The MLOps Platform unit is designing, engineering, operating, and maintaining cloud native K8s based micro-service Architecture – Service and Components that delivers that aim to deliver end to end MLOps features and functionality e.g. CI/CD, data exploration notebooks (Jupyter), ML model development and deployment, workflow engines, and ML frameworks (i.e. TensorFlow) for easy consumption by Ericsson products and services. The AI MLOps Platform covers infrastructure capacity and tools for all AI/ML project and system needs across different Ericsson Products. The main approach is to integrate/extend existing private and public cloud infrastructures, and to base the toolbox components on open source software. The deployed environments are heterogeneous, so multi-cloud, hybrid-cloud, and WAN networking are also key technology areas. In this role, you are expected to be a very hands-on developer, functioning as an individual contributor, as well as work within a cross functional team that is responsible from study, design, implement, test, deliver and maintain phases of the projects/products. Key Responsibilities Develop/integrate/automate a core AI/ML software environment, in close collaboration with data scientist and product developers Operationalize and extend open source software components, covering the entire ML model life-cycle, including e.g. data transformation, model development, deployment, monitoring, re-training, security. Collaborate with product development teams and partners in Ericsson Businesses to industrialize a platform for machine learning models and solutions as part of Ericsson offerings including providing code, workflows and documents Work with MLOps projects and development teams to identify needs and requirements for AI/ML tools and infrastructure resources. Evaluate and plan capacity of CPU, GPU, memory, storage, and networking resources to balance cost versus desired productivity and performance Develop essential automation scripts and tooling to help quality assurance, maintenance, migration, and cost-control of infrastructure deployments. Manage communication, planning, collaboration and feedback loops with business stakeholders. Model the business problem statement into AI/ML problem. Contribute to IPR creation for Ericsson in AI/ML Lead functional and technical analysis within Ericsson businesses and for strategic customers to understand MI-driven business needs and opportunities Lead studies and creative usage of new and/or existing data sources. Work with Data Architects to leverage existing data models and build new ones as needed. Provide MI Competence build-up in Ericsson Businesses and Customer Serving Units Develop new and apply/extend existing, concepts, methodologies, techniques for cross functional initiatives Key Qualifications Bachelors/Masters in Computer Science, Electrical Engineering or related disciplines from any of the reputed institutes. First Class, preferably with Distinction. Applied experience: 2+ years of experience with infrastructure, platforms, networking, and software systems; and an overall industry experience of about 4+ years. Strong software engineering experience with one or more of Golang, Java, Scala, Python, JavaScript, using container-based development practices Experience with data analytics and AI/ML systems, for example, Spark, Jupyter, Tensorflow Experience with large scale systems, for example reliability/HA, deployment, operations, testing, and trouble-shooting. Experience with delivering software products, for example release management, documentation Experience with usage/integration of public cloud services, for example, identity and access management, key management, storage systems, CPU/GPU, private/virtual networking, and Kubernetes services. Experience with modern distributed systems and tooling, for example, Prometheus, Terraform, Kubernetes, Helm, Vault, CI/CD systems. Experience with WAN networking solutions, redundancy/fail-over, QoS, and VPN technologies. Experience with Infrastructure-as-code and SRE ways-of-working Strong system administration skills, Linux and Windows Awareness of ITIL/ITSM methodologies for operations and service delivery Soft Skills Good communication skills in written and spoken English Great Team worker and collaborator Creativity and ability to formulate problems and solve them independently Self-driven and ability to work through abstraction Ability to build and nurture internal and external communities Ability to work independently with high energy, enthusiasm and persistence Experience in partnering and collaborative co-creation, i.e., working with complex multiple stakeholder business units, global customers, technology and other ecosystem partners in a multi-culture, global matrix organization with sensitivity and persistence. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Chennai Req ID: 766515 Show more Show less

Were seeking a forward-thinking Gen AI Engineer to design, implement, and optimize cutting-edge agentic AI solutions using frameworks such as Crew.ai , LangChain , and LangGraph . You will work at the intersection of LLMs , Retrieval-Augmented Generation (RAG) systems, and NLP , enabling impactful AI applications across diverse domains. Key Responsibilities Design and deploy autonomous AI agents and multi-agent systems using LLMs such as GPT-4o, Claude, and LLaMA, leveraging Crew.ai, LangChain (and LangGraph). Own the AI solution lifecycle , including data acquisition, model experimentation, fine-tuning, deployment, and production monitoring. Develop scalable AI backends and pipelines using Python with frameworks like PyTorch or TensorFlow, deploying via REST APIs (FastAPI) on cloud platforms like AWS or Azure. Implement RAG-based systems by integrating open-source LLMs (via Hugging Face or Ollama) with vector databases (e.g., Pinecone, ChromaDB) and structured data stores (SQL/NoSQL). Collaborate with cross-functional teams to ensure reliable, maintainable, and impactful AI solutions. Required Skills & Experience 2 to 5 years of experience in AI/ML, NLP, Generative AI, with a focus on agentic AI systems . Strong proficiency in Python and hands-on experience building RAG systems and deploying open-source LLMs. Experience developing AI-driven backends and services with a strong understanding of scalability and performance. Familiarity with vector search technologies, database integration, and cloud-native architectures. Excellent communication and collaboration skills; ability to work effectively in a team environment. Education B.Tech/B.E. or M.Tech/M.E. in Computer Science, AI/ML, or a related field. Role: Gen AI Engineer Designation: AI Developer Experience: 2-5 Years (AI/ML, NLP, Generative AI): Location: Pune

Micoworks is a company with a clear mission: to Empower every brand for the better future . This ambitious goal sets the stage for their vision and core values. Who we are By 2030, Micoworks aims to be the Asia No.1 Brand Empowerment Company . This mid-term goal outlines their dedication to becoming the leading force in empowering brands across Asia. To achieve their mission and vision, Micoworks identifies four key values that guide their work: WOW THE CUSTOMER SMART SPEED OPEN MIND ALL FOR ONE Micoworks' mission, vision, and values paint a picture of a company dedicated to empowering brands, working with agility and open-mindedness, and prioritising customer success. Job Summary The Senior Data Scientist will work on data-driven initiatives to solve complex business challenges, leveraging advanced analytics, machine learning, and statistical modeling. This role requires expertise in translating data insights into actionable strategies and collaborating with cross-functional teams. Ideal candidates will have a strong background in analytics, or tech-driven industries.Key Responsibilities Develop and deploy predictive models (e.g., customer lifetime value, media mix modeling, time-series forecasting) using Python/R, TensorFlow, or PyTorch. Clean, preprocess, and validate large datasets (structured/unstructured) from multiple sources. Partner with stakeholders (e.g., marketing, finance) to design data-driven solutions (e.g., A/B testing) Ensure adherence to data privacy and ethical AI practices Research and implement cutting-edge techniques (e.g., NLP, deep learning) to enhance business strategies. Required Qualifications Education: Master's/PhD in Statistics, Computer Science, Econometrics, or related quantitative fields. Experience: 5+ years in data science, with expertise in: Programming: Python/R, SQL, Spark, and libraries (Pandas, Scikit-learn). Statistical methods: Decision trees, regression, DL and experimental design. Cloud platforms: Azure, Databricks, or AWS 5. Soft Skills: Strong storytelling, stakeholder management, and problem-solving. Show more Show less

About Micoworks: Micoworks is a company with a clear mission: to Empower every brand for the better future. This ambitious goal sets the stage for our vision and core values. Who We Are By 2030, Micoworks aims to be the Asia No.1 Brand Empowerment Company. This mid-term goal outlines our dedication to becoming the leading force in empowering brands across Asia. To achieve our mission and vision, Micoworks identifies four key values that guide our work: WOW THE CUSTOMER SMART SPEED OPEN MIND ALL FOR ONE Micoworks' mission, vision, and values reflect our commitment to empowering brands, working with agility and open-mindedness, and prioritizing customer success. We are driven by a passion to innovate and lead in the world of brand empowerment. Role Overview: As an Agentic AI Intern, you will be working closely with a dynamic team of engineers, data scientists, and researchers on developing, implementing, and optimizing AI models and applications. You will gain hands-on experience in AI and machine learning, along with exposure to real-world problem-solving in an office environment. Key Responsibilities: Assist in the development and training of AI models using machine learning frameworks. Work with large datasets to clean, preprocess, and analyze data. Contribute to the optimization of AI algorithms and processes. Collaborate with cross-functional teams to understand requirements and implement AI-based solutions. Develop, test, and deploy AI models under the supervision of senior team members. Participate in code reviews and document technical work effectively. Conduct research to stay updated with the latest trends and advancements in AI. Assist in building and improving AI tools and applications for business use cases. Desired Skills & Qualifications: Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong understanding of machine learning algorithms and principles. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with data preprocessing, data cleaning, and data visualization. Good knowledge of statistical methods and model evaluation techniques. Strong analytical and problem-solving skills. Ability to work collaboratively in a team-oriented environment. Excellent communication skills to convey technical concepts effectively. Good to Have: Prior internship experience or personal projects related to AI/ML. Knowledge of cloud platforms like AWS, Google Cloud, or Azure. Experience with Natural Language Processing (NLP) or Computer Vision (CV). Why Join Us: Gain hands-on experience working with the latest AI technologies. Mentorship from industry experts and senior professionals. Exposure to real-world AI projects with a direct impact on business outcomes. Opportunity to work in a collaborative and innovative work environment. Flexible, inclusive, and growth-oriented culture. Show more Show less

At Momenta, we're committed to creating a safer digital world by protecting individuals and businesses from voice-based fraud and scams. Through innovative AI technology and community collaboration, we're building a future where communication is secure and trustworthy. The Role Key Responsibilities Design and Deliver Core Detection Pipeline Lead the development of a robust, modular deepfake detection pipeline capable of ingesting, processing, and classifying real-time audio streams with high accuracy and low latency. Architect the system to operate under telecom-grade conditions with configurable interfaces and scalable deployment strategies. Model Strategy, Development, and Optimization Own the experimentation and refinement of state-of-the-art deep learning models for voice fraud detection. Evaluate multiple model families, benchmark performance across datasets, and strategically select or ensemble models that balance precision, robustness, and compute efficiency for real-world deployment. Latency-Conscious Production Readiness Ensure the entire detection stack meets strict performance targets, including sub-20ms inference latency. Apply industry best practices in model compression, preprocessing optimization, and system-level integration to support high-throughput inference on both CPU and GPU environments. Evaluation Framework and Continuous Testing Design and implement a comprehensive evaluation suite to validate model accuracy, false positive rates, and environmental robustness. Conduct rigorous testing across domains, including cross-corpus validation, telephony channel effects, adversarial scenarios, and environmental noise conditions. Deployment Engineering and API Integration Deliver a fully containerized, production-ready inference service with REST/gRPC endpoints. Build CI/CD pipelines, integration tests, and monitoring hooks to ensure system integrity, traceability, and ease of deployment across environments. Ideal Profile Technical Skills ML Frameworks: PyTorch, TensorFlow, ONNX, OpenVINO, TorchScript Audio Libraries: Librosa, Torchaudio, FFmpeg Model Development: CNNs, Transformers, Wav2Vec/WavLM, AASIST, RawNet Signal Processing: VAD, noise reduction, band-pass filtering, codec simulation Optimization: Quantization, pruning, GPU acceleration DevOps: Git, Docker, CI/CD, FastAPI or Flask, REST/gRPC Preferred Experience Prior work on audio deepfake detection or telephony speech processing Experience with real-time ML model deployment Understanding of adversarial robustness and domain adaptation Familiarity with call center environments or telecom-grade constraints What's on Offer? Excellent career development opportunities Leadership Role Opportunity to make a positive impact Show more Show less

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Lead Data Scientist Lead Data Scientist Overview We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. Our Team Within Mastercard The Data & Services team is a key differentiator for Mastercard, providing the cutting-edge services that are used by some of the world's largest organizations to make multi-million dollar decisions and grow their businesses. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. The New Product Engineering team within Data and Services is engineering the transformation of new ideas into software solutions to test in the market, and then growing and scaling products to meet long-term demand and needs. We achieve this with a "move fast, learn fast" mindset, relentless focus on customer excellence, and a culture of collaboration and empowerment. Our solutions are instrumental in positioning Mastercard as a data & services market leader. Role and Summary Data Scientist The Data Scientist in Data & Services New Product Engineering team is responsible for creating data & analytics solutions including deep learning Artificial Intelligence (A.I.) and Machine Learning (M.L.) models that sit atop large datasets of business and finance operations gathered by mid to large companies. The Data Scientist is responsible for developing full life cycle modeling processes of data analysis, feature engineering, model training, testing, serving and monitoring. As a Data Scientist, You Will Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products Work with multiple disparate sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modeling Generate and maintain and optimize data pipelines for model building and model performance evaluation Develop, test, and evaluate modern machine learning and A.I. models Oversee implementation of models Evaluate production models based on business metrics to drive continuous improvement Essential Skills Data engineering and data science experience Experience with SQL language and one or multiple of the following database technologies: PostgreSQL, Hadoop, Spark. Good knowledge of Linux / Bash environment Python and one of the following machine learning libraries Spark ML TensorFlow Scikit Learn XGBoost Good communication skills Highly skilled problem solver Exhibits a high degree of initiative At least an undergraduate degree in CS, or a STEM related field. Nice To Have Bachelor’s or Master’s in CS, Data Science, ML/AI, or a related STEM field Understands and implements methods to evaluate own work and others for bias, inaccuracy, and error Databricks Loves working with error-prone, messy, disparate, unstructured data Experience in working with Cloud (e.g., Azure, AWS) Experience participating in complex engineering projects in an Agile setting e.g. Scrum Mastercard is an equal opportunity employer that values diversity and inclusion. Applicants will be considered and treated without regard to gender, gender identity, race, color, ethnicity, national origin, religion, sexual orientation, veteran or disabled status, or any other characteristic protected by applicable law. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-251483 Show more Show less

Who We Are The Cisco Security AI team delivers AI products and platform for all Cisco secure products and portfolios so businesses around the world defend against threats and safeguard the most vital aspects of your business with security resilience. We are passionate about making businesses secure and simplify security with zero compromise using AI and Machine Learning. We are seeking a strong Machine Learning E ngineer who can make a big difference in the cybersecurity industry. Who You Are You are an accomplished and visionary Senior Machine Learning Engineer with a track record of leading teams and architecting machine learning solutions that have made a significant impact. You are deeply passionate about machine learning with a proven track record of successfully developing and implementing models that address real-world problems . You are someone with : Deep Knowledge of LLM Architecture: Comprehensive understanding of the architecture underlying large language models, such as Transformer-based models, including GPT (Generative Pre-trained Transformer), and their variants. Language Model Training and Fine-Tuning: Experience in training large-scale language models from scratch, as well as fine-tuning pre-trained models for specific applications or domains. Experience with agentic frameworks a plus. Data Preprocessing for NLP: Skills in preprocessing textual data, including tokenization, stemming, lemmatization, and handling of different text encodings. Transfer Learning and Adaptation: Proficiency in applying transfer learning techniques to adapt existing LLMs to new languages, domains, or specific business needs. Handling Ambiguity and Context in Text: Ability to design models that effectively handle ambiguities, nuances, and context in natural language processing. Application of LLMs: Experience in creatively applying LLM technology in diverse areas such as chatbots, content creation, semantic search, and more. Data Annotation and Evaluation: Skills in designing and implementing data annotation strategies for training LLMs and evaluating their performance using appropriate metrics . Scalability and Deployment: Experience in scaling LLMs for production environments, ensuring efficiency and robustness in deployment. What You Will Do Model Training, Optimization, and Evaluation : This encompasses the complete cycle of training, fine-tuning, and validating language models. You will be designing and adapting LLMs for use in virtual assistants, automated chatbots, content recommendation systems, etc. Algorithm Development for Enhanced Language Understanding : Focusing on the development or refinement of algorithms to improve the efficiency and accuracy of language models, especially in natural language understanding and generation tasks. Applying LLMs to Cybersecurit y: Tailoring language models for cybersecurity purposes, such as analyzing threat intelligence, detecting cyber threats, and automating responses to security incidents. Deployment Strategy: Collaborate with software engineering teams to design and implement deployment strategies for machine learning models into security systems, ensuring scalability, reliability, and efficiency. Documentation and Best Practices: Establish best practices for machine learning and security operations, and maintain clear documentation of models, data pipelines and metrics Experimentation with Emerging Technologies and Methods : Actively exploring new technologies and methodologies in language model development, including experimental frameworks, software tools, and cutting-edge approaches. Mentoring and Cross-Functional Collaboration : Providing mentorship to team members and working collaboratively with cross-functional teams to ensure cohesive development and implementation of language model projects. Basic Qualifications BA / BS degree with 7+ years of experience (or) MS degree with 5+ years of experience as a machine learning engineer Solid experience in machine learning engineering, with a strong portfolio of successful projects Extensive experience in building machine learning systems and scalable solutions Expertise in machine learning algorithms, deep learning, and statistical modeling Preferred Qualifications Advanced degree in Computer Science, Data Science, Statistics, Computational Linguistics or a related field. Proficiency in programming languages such as Python or R, and experience with machine learning libraries (e.g., TensorFlow, PyTorch , scikit-learn) Excellent problem-solving and communication skills, with the ability to explain complex concepts to non-technical stakeholders Proven ability to work collaboratively in cross-functional teams #CiscoAIJobs Show more Show less

We are seeking a highly skilled Development Lead with expertise in Generative AI and Large Language models, in particular, to join our dynamic team. As a Development Lead, you will play a key role in developing cutting-edge LLM applications and systems for our clients. Your primary focus will be on driving innovation and leveraging LLMs to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of LLM apps. Job Description: Responsibilities : Develop and extend digital products and creative applications, leveraging LLM technologies at their core. Lead a product development and product operations team to further develop, enhance and extend existing digital products built on top of LLMs Lead client onboarding, client rollout, and client adoption efforts, maximizing use of the product across multiple clients Lead enhancements and extensions for client specific capabilities and requests Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs Ability to work with Base Foundation LLM Models, Fine Tuned LLM models, working with a variety of different LLMs and LLM APIs. Conceptualize, Design, build and develop experiences and solutions which demonstrate the minimum required functionality within tight timelines. Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions. Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Research and explore new products, platforms, and frameworks in the field of generative AI on an ongoing basis and stay on top of this very dynamic, evolving field Design and optimize Gen-AI Apps for efficient data processing and model leverage. Implement LLMOps processes, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation. Evaluate and fine-tune models to ensure high performance and accuracy. Collaborate with engineers to develop and integrate AI solutions into existing systems. Stay up-to-date with the latest advancements in the field of Gen-AI and contribute to the company's technical knowledge base. Must-Have: Strong Expertise in Python development, and the Python Dev ecosystem, including various frameworks/libraries for front-end and back-end Python dev, data processing, API integration, and AI/ML solution development. Minimum 2 years hands-on experience in working with Large Language Models Hands-on Experience with building production solutions using a variety of different. Experience with multiple LLMs and models - including Azure OpenAI GPT model family primarily, but also Google Gemini, Anthropic Claude, etc. Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI. Solid Hands-on, and Deep Experience working with RAG pipelines and Enterprise technologies and solutions / frameworks - including LangChain, Llama Index, etc. Solid Hands-on Experience with developing end-to-end RAG Pipelines. Solid Hands-on Experience with AI and LLM Workflows Experience with LLM model registries (Hugging Face), LLM APIs, embedding models, etc. Experience with vector databases (Azure AI Search, AWS Kendra, FAISS, Milvus etc.). Experience with LLM evaluation frameworks such as Ragas, and their use to evaluate / improve LLM model outputs Experience in data preprocessing, and post-processing model / results evaluation. Hands-on Experience with API Integration and orchestration across multiple platforms Good Experience with Workflow Builders and Low-Code Workflow Builder tools such as Azure Logic Apps, or n8n (Nodemation) Good Experience with Serverless Cloud Applications, including Cloud / Serverless Functions with Azure Good Experience with Automation Workflows and building Automation solutions to facilitate rapid onboarding for digital products Ability to lead design and development teams, for Full-Stack Gen-AI Apps and Products/Solutions, built on LLMs and Diffusion models. Ability to lead design and development for Creative Experiences and Campaigns, built on LLMs and Diffusion models. Nice-to-Have Skills (not essential, but useful) : Good understanding of Transformer Models and how they work. Hands-on Experience with Fine-Tuning LLM models at scale. Good Experience with Agent-driven Gen-AI architectures and solutions, and working with AI Agents. Some experience with Single-Agent and Multi-Agent Orchestration solutions Hands-on Experience with Diffusion Models and AI. Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney, is highly desirable. Hands-on Experience with Image Processing and Creative Automation at scale, using AI models. Hands-on experience with image and media transformation and adaptation at scale, using AI Art and Diffusion models. Hands-on Experience with dynamic creative use cases, using AI Art and Diffusion Models. Hands-on Experience with Fine-Tuning Diffusion models and Fine-tuning techniques such as LoRA for AI Art models as well. Hands-on Experience with AI Speech models and services, including Text-to-Speech and Speech-to-Text. Good Background and Foundation with Machine Learning solutions and algorithms Experience with designing, developing, and deploying production-grade machine learning solutions. Experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Experience with custom ML model development and deployment Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong knowledge of machine learning algorithms and their practical applications. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Hands-on Experience with Video Generation models. Hands-on Experience with 3D Generation Models. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant Show more Show less

Job Title: AI Engineer – GenAI & Azure (Python + ML) Location: Bangalore Hybrid Experience: 7+ years to 15 Years Employment Type: Full-Time Design, develop, and deploy AI/ML solutions with a focus on Generative AI applications. Required Candidate profile Build and optimize scalable data pipelines and AI services using Python and Azure cloud components. Integrate and operationalize AI models using Azure Functions, Azure Event Grid, and Azure Search.

We are seeking a highly skilled Development Lead with expertise in Generative AI and Large Language models, in particular, to join our dynamic team. As a Development Lead, you will play a key role in developing cutting-edge LLM applications and systems for our clients. Your primary focus will be on driving innovation and leveraging LLMs to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of LLM apps. Job Description: Responsibilities : Develop and extend digital products and creative applications, leveraging LLM technologies at their core. Lead a product development and product operations team to further develop, enhance and extend existing digital products built on top of LLMs Lead client onboarding, client rollout, and client adoption efforts, maximizing use of the product across multiple clients Lead enhancements and extensions for client specific capabilities and requests Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs Ability to work with Base Foundation LLM Models, Fine Tuned LLM models, working with a variety of different LLMs and LLM APIs. Conceptualize, Design, build and develop experiences and solutions which demonstrate the minimum required functionality within tight timelines. Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions. Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Research and explore new products, platforms, and frameworks in the field of generative AI on an ongoing basis and stay on top of this very dynamic, evolving field Design and optimize Gen-AI Apps for efficient data processing and model leverage. Implement LLMOps processes, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation. Evaluate and fine-tune models to ensure high performance and accuracy. Collaborate with engineers to develop and integrate AI solutions into existing systems. Stay up-to-date with the latest advancements in the field of Gen-AI and contribute to the company's technical knowledge base. Must-Have: Strong Expertise in Python development, and the Python Dev ecosystem, including various frameworks/libraries for front-end and back-end Python dev, data processing, API integration, and AI/ML solution development. Minimum 2 years hands-on experience in working with Large Language Models Hands-on Experience with building production solutions using a variety of different. Experience with multiple LLMs and models - including Azure OpenAI GPT model family primarily, but also Google Gemini, Anthropic Claude, etc. Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI. Solid Hands-on, and Deep Experience working with RAG pipelines and Enterprise technologies and solutions / frameworks - including LangChain, Llama Index, etc. Solid Hands-on Experience with developing end-to-end RAG Pipelines. Solid Hands-on Experience with AI and LLM Workflows Experience with LLM model registries (Hugging Face), LLM APIs, embedding models, etc. Experience with vector databases (Azure AI Search, AWS Kendra, FAISS, Milvus etc.). Experience with LLM evaluation frameworks such as Ragas, and their use to evaluate / improve LLM model outputs Experience in data preprocessing, and post-processing model / results evaluation. Hands-on Experience with API Integration and orchestration across multiple platforms Good Experience with Workflow Builders and Low-Code Workflow Builder tools such as Azure Logic Apps, or n8n (Nodemation) Good Experience with Serverless Cloud Applications, including Cloud / Serverless Functions with Azure Good Experience with Automation Workflows and building Automation solutions to facilitate rapid onboarding for digital products Ability to lead design and development teams, for Full-Stack Gen-AI Apps and Products/Solutions, built on LLMs and Diffusion models. Ability to lead design and development for Creative Experiences and Campaigns, built on LLMs and Diffusion models. Nice-to-Have Skills (not essential, but useful) : Good understanding of Transformer Models and how they work. Hands-on Experience with Fine-Tuning LLM models at scale. Good Experience with Agent-driven Gen-AI architectures and solutions, and working with AI Agents. Some experience with Single-Agent and Multi-Agent Orchestration solutions Hands-on Experience with Diffusion Models and AI. Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney, is highly desirable. Hands-on Experience with Image Processing and Creative Automation at scale, using AI models. Hands-on experience with image and media transformation and adaptation at scale, using AI Art and Diffusion models. Hands-on Experience with dynamic creative use cases, using AI Art and Diffusion Models. Hands-on Experience with Fine-Tuning Diffusion models and Fine-tuning techniques such as LoRA for AI Art models as well. Hands-on Experience with AI Speech models and services, including Text-to-Speech and Speech-to-Text. Good Background and Foundation with Machine Learning solutions and algorithms Experience with designing, developing, and deploying production-grade machine learning solutions. Experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Experience with custom ML model development and deployment Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong knowledge of machine learning algorithms and their practical applications. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Hands-on Experience with Video Generation models. Hands-on Experience with 3D Generation Models. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant Show more Show less

Proven experience in designing, developing, and implementing machine learning models and algorithms. Strong proficiency in Python programming and its libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, and NLTK. Solid understanding of data structures, algorithms, and statistical principles Hands-on experience in Natural Language Processing (NLP) is highly desirable. Experience in optimizing and fine-tuning machine learning models to improve performance. Proficiency in GIT/Bit Bucket for version control and collaboration. Ability to write SQL queries and scripts for data handling and manipulation. Excellent analytical and problem-solving skills with attention to detail. Strong communication and collaboration skills with the ability to work effectively in a team environment.

Role Description Advancing AI Research into Real-World Applications! As an AI Research Engineer, you’ll explore and develop innovative machine learning algorithms with a direct impact on industrial automation. Bridging advanced research and real-world challenges, you’ll contribute to turning state-of-the-art research into industry-ready AI solutions. Your Responsibilities • Conduct applied research in ML, deep learning, reinforcement learning, and related fields. • Rapidly prototype, test, and evaluate novel AI algorithms. • Publish and present research results in leading journals and conferences. • Collaborate closely with engineering teams to transfer research into practical applications. Our Requirements • Master’s or PhD in AI, Machine Learning, Robotics, or related fields. • Proven research experience, ideally with a track record of publications. • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow). • Experience translating research into practical, scalable solutions. Show more Show less

Purpose Of The Position: We are looking for a highly experienced Senior Data Scientist with a deep understanding of AI/ML technologies, including Recommendation Systems, Chatbots, Generative AI, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in applying these technologies to solve real-world problems, working with large datasets, and collaborating with cross-functional teams to deliver innovative data-driven solutions.. Key Responsibilities : Design, develop, and optimize recommendation systems to enhance user experience and engagement across platforms. Build and deploy chatbots with advanced NLP capabilities for automating customer interactions and improving business processes. Lead the development of Generative AI solutions, including content generation and automation. Research and apply Large Language Models (LLMs) like GPT, BERT, and others to solve business-specific problems and create innovative solutions. Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability and reliability. Perform data exploration, analysis, and feature engineering to improve model performance. Stay updated on the latest advancements in AI and ML technologies, proposing new techniques and tools to enhance our product capabilities. Mentor junior data scientists and engineers, providing guidance on best practices in AI/ML model development and deployment. Collaborate with product managers and business stakeholders to translate business goals into AI-driven solutions. Work on model interpretability, explainability, and ensure models are built in an ethical and responsible manner. Required Skills And Qualifications: 5+ years of experience in data science or machine learning, with a focus on building and deploying AI models. Strong expertise in designing and developing recommendation systems and working with collaborative filtering, matrix factorization, and content-based filtering techniques. Hands-on experience with chatbots using Natural Language Processing (NLP) and conversational AI frameworks. In-depth understanding of Generative AI, including transformer-based models and GANs (Generative Adversarial Networks). Experience working with Large Language Models (LLMs) such as GPT, BERT, T5, etc. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. Strong programming skills in Python and libraries such as NumPy, Pandas, Hugging Face, and NLTK. Experience with cloud platforms like AWS, GCP, or Azure for deploying and scaling machine learning models. Solid understanding of data pipelines, ETL processes, and working with large datasets using SQL or NoSQL databases. Knowledge of MLOps and experience deploying models in production environments. Strong problem-solving skills and a deep understanding of statistical methods and algorithms. Preferred Qualifications: Experience with Reinforcement Learning and Recommender Systems personalization techniques. Experience of working with AWS Bedrock services. Familiarity with ethical AI and model bias mitigation techniques. Experience with A/B testing, experimentation, and performance tracking for AI models in production. Prior experience mentoring junior data scientists and leading AI/ML projects. Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders. Why Join Us? Opportunity to be part of a rapidly growing, innovative product-based company. Collaborate with a talented, driven team focused on building high-quality software solutions. Competitive compensation and benefits package.