Job Title: GenAI Engineer Category: Software Development Required Experience: 3-4 years Location: Pune Job Description: As the Data Scientist, you will play a pivotal role in driving data-driven decision-making and advancing our organization's AI and analytical capabilities. You will lead a team of data scientists, collaborate with cross-functional teams, and contribute to the development and implementation of AI and advanced analytics solutions. This position requires a strong combination of technical expertise, leadership skills, and business acumen. Responsibilities: Team Leadership: ● Lead, mentor, and inspire a team of junior data scientists, fostering a collaborative and innovative work environment. ● Provide technical guidance, set priorities, and ensure the team's alignment with organizational goals. ● Conduct regular performance assessments and contribute to professional development plans. Strategy and Planning: ● Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data to achieve strategic goals. ● Develop and execute a data science roadmap, ensuring alignment with overall business and technology strategies. ● Stay abreast of industry trends, emerging technologies, and best practices in data science. Advanced Analytics: ● Design, develop, and implement advanced machine learning models and algorithms to extract insights and solve complex business problems. ● Drive the exploration and application of new data sources, tools, and techniques to enhance analytical capabilities. ● Collaborate with data engineers to ensure the scalability and efficiency of deployed models. Cross-functional Collaboration: ● Collaborate with cross-functional teams, including business analysts, software engineers, and domain experts, to integrate data science solutions into business processes. ● Communicate complex analytical findings to non-technical stakeholders in a clear and actionable manner. Data Governance and Quality: ● Establish and enforce data governance standards to ensure the accuracy, reliability, and security of data used for analysis. ● Work with data engineering teams to enhance data quality and integrity throughout the data lifecycle. Project Management: ● Oversee the end-to-end execution of data science projects, ensuring timelines, budgets, and deliverables are met. ● Provide regular project updates to stakeholders and manage expectations effectively. Technical Expertise: ● Provide technical guidance and execution for the latest GenAI technologies, including but not limited to LLM/SLM/VLM and Multi-modal AI Algorithms. Leverage Transformers for complex natural language processing-based tasks. ● Hands-on experience in RAG (Retrieval-Augmented Generation) pipelines using Pinecone or similar vector databases to enhance LLM performance. ● Experience building RESTful APIs and ML endpoints using FastAPI , integrating seamlessly with production systems. ● Apply LangChain and agentic frameworks to integrate LLMs with tools, memory, and reasoning chains. ● Proficiency in designing LLM-driven workflows , including prompt engineering , chain-of-thought reasoning, and OpenAI API call optimization to reduce latency and cost. ● Develop scalable event-driven architectures using AWS EventBridge , RDS , and other AWS services (e.g., S3, Glue, SageMaker). ● Develop and optimize embedding generation , storage, and retrieval processes using tools like OpenAI Embeddings, LangChain , and Pinecone. ● Lead the development of deep learning technologies like computer vision for image processing, OCR/IDP, object detection and tracking, segmentation, Image generation, Convolutional Neural Networks, Capsule Networks, etc. ● Development of core Machine Learning algorithms like time series analysis with Neural ODEs; Variational Autoencoders for Image Generation and anomaly detection; ● Provide oversight for core deep learning algorithms like Neural Architecture Search for optimization and Graph Neural Networks for molecular structures. Qualifications: ● Minimum 1+ years of experience leading a team of junior data scientists, with a proven track record of successful project implementations. ● Master's or Ph.D. in a quantitative field (Computer Science, Statistics, Mathematics, etc.) ● Experience with GenAI, Agentic AI, LLM Training, and LLM-driven workflow development. Knowledge of large multi-modal models is a must. ● Experience in MLOps, Scientific Machine Learning, Statistical Modeling, and Data Visualization. ● Proficiency in cloud platforms , particularly AWS (SageMaker, S3, RDS, EventBridge, Glue, Redshift). ● Must have experience with the development and implementation of various core Machine Learning algorithms mentioned above. ● Bonus: Prior experience in LLM observability, latency tuning, token usage monitoring, and fine-grained control of OpenAI or similar API integrations. ● Must have hands-on experience with Deep Learning technologies for computer vision and image processing as well as core neural network applications like optimization. ● Experience in developing ML, AI, and Data Science solutions and putting solutions in production, with proficiency in Data Engineering, is desirable. ● Experience in the development and implementation of scalable and efficient data pipelines using AWS services such as SageMaker, S3, Glue, and/or Redshift. ● Excellent leadership, communication, and interpersonal skills. ● Experience with big data technologies and cloud platforms is a plus. 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Looking for data scientists with core expertise in ML model development across different use cases in credit risk domain. Well verse with advanced tree-based algorithms and hyperparameter optimization techniques. US Banking experience is preferred. Good hands-on exposure in Python, good to have: SQL/SAS Show more Show less

Job Title : IOS Developer Experience: 3-9 Years Location: Noida, Uttar Pradesh 🚀 Walk-in Drive | iOS Developer | 3–9 Years | Noida 🚀 Are you an experienced iOS Developer looking to work with cutting-edge technologies in the energy, water, and gas sectors ? 🔹 Walk-In Interview 📅 Date: 20th June 2025 | Friday 📍 Location: SEW (Smart Energy Water), Noida, Uttar Pradesh 🕒 Time: 10:00 AM – 4:00 PM Share your resume - Palak.Chopra@sew.ai About Us SEW, the leader in cloud platforms for the energy, water, and gas sectors, delivers innovative solutions powered by AI, ML, and IoT Analytics. Our innovative Digital Customer Experiences (CX), Workforce Experiences (WX), and Intelligent Experiences (IX) help global utilities drive efficiency, engagement, and empowerment. At SEW, our vision is to Engage, Empower, and Educate billions of people to save energy and water. We deliver user-friendly, seamlessly integrated platforms that build a strong technological foundation, enabling businesses to become ready for the future. Roles & Responsibilities: • 3+ years of experience developing mobile apps. • Experiencing for fine tuning applications to improve performance and memory utilization. • Thorough understanding of iOS development for iPhone, iPod Touch, and iPad devices. Strictly confidential • Experience of design and development of iOS applications, preferably in an Enterprise setting • Proficient with Xcode, Objective-C, and Cocoa Touch • Experience with iOS frameworks such as Core Data, SQLite, MapKit, UIKit, Core Location, etc. • String knowledge in Restful, SOAP APIs to connect iOS applications to back-end services • Strong knowledge of Storyboard, Autolayout, ARC. • Experience of design and development of iOS applications, preferably in an Enterprise setting • Proficient with Xcode, Objective-C, and Cocoa Touch. experience with iOS frameworks such as Core Data, SQLite, MapKit, UIKit, Core Location, etc • Experience with offline storage, threading, multitasking, and performance and memory tuning with tools (such as Instruments). • Understanding of Apple’s design principles and interface guidelines • Knowledge of low-level C-based libraries is preferred • Knowledge of Graph APIs is preferred. • Familiarity with cloud message APIs, Local and push notifications • Proficient understanding of code versioning tools (such as Git, TFS or SVN) • Familiarity with continuous integration. Candidate Required: • Excellent communication skills • Be an effective Team Leader and should be able to handle and lead a team with effective delegation. • Proficient in mobile app UI development and best practices • Ability to understand that business needs may shift your priorities and adjust accordingly • Exceptional written and oral communication skills. • Exceptional interpersonal skills, with a focus on listening and questioning skills. • Proven analytical and problem-solving abilities. • Ability to effectively prioritize and execute tasks in a high-pressure environment What We Offer · A collaborative and innovative work environment. · Firsthand experience with digital marketing analytics, SEO, and product analytics. · Opportunities for professional growth and learning in analytics and AI. · A chance to make a meaningful impact by delivering data-driven insights across projects. Why Join SEW? Join a purpose-driven organization at the forefront of innovation in the utility sector. At SEW, you will work on exciting projects, enhance your skills, and contribute to impactful solutions that create value for businesses and communities worldwide. How to Apply If you are enthusiastic about analytics and eager to grow in this field, send your resume and a brief cover letter highlighting your interest in the r ole to [Palak.Chopra@SEW.ai] Show more Show less

As an AI Architect at Innovaccer, you will be at the forefront of designing, training, and fine-tuning foundational models with healthcare-specific data. You will be critical in integrating these technologies into our healthcare products, ensuring they operate effectively in a production environment. Your expertise will help us to revolutionize healthcare delivery, improve patient outcomes, and maintain compliance with industry regulations. A Day in Life Fine-tuning state-of-the-art small language models (SLMs) like Llama-3.1-8B or Phi-3.5-3B on diverse healthcare datasets. Evaluating and optimizing various inference and serving frameworks (e.g., Triton, TensorRT, VLLM, TGI). Read about the most recent AI model architectures. Collaborating with product teams to review and refine architecture designs incorporating AI. Troubleshooting AI deployment issues in customer environments, ensuring smooth operation and optimal performance. Authoring and presenting technical documentation and white papers and showcasing breakthroughs in internal and external forums. Responsibilities Design, train, and fine-tune advanced foundational models (text, audio, vision) using healthcare-specific datasets, focusing on accuracy and clinical relevance. Collaborate with cross-functional teams (product, engineering, clinical) to seamlessly integrate AI/ML technologies into our product offerings. Deploy, monitor, and manage AI models in a production environment, ensuring high availability, scalability, and performance. Continuously research and evaluate the latest advancements in AI/ML and healthcare industry trends to drive innovation within Innovaccer. Create high-quality intellectual property (white papers, case studies, conference presentations) showcasing Innovaccer's technical leadership. Ensure all AI solutions adhere to healthcare standards and regulatory requirements (HIPAA, GDPR, etc.). Develop and maintain comprehensive documentation for AI models, including development, training, fine-tuning, and deployment procedures. Provide technical guidance and mentorship to junior AI engineers and team members. Collaborate with stakeholders to understand clinical needs and translate them into technical requirements for model fine-tuning and development. Select and curate appropriate datasets for fine-tuning foundational models to address specific healthcare use cases. Qualifications Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Minimum of 7 years of hands-on experience in AI/ML, with a demonstrable track record of training and deploying LLMs and other machine learning models. Strong proficiency in Python and familiarity with popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers, etc.). Practical experience deploying and managing AI models in production environments, including expertise in serving and inference frameworks (Triton, TensorRT, VLLM, TGI, etc.). Proven experience in healthcare AI applications, including a solid understanding of healthcare data standards (FHIR, HL7) and regulatory compliance (HIPAA, SOC2, NIST). Excellent problem-solving and analytical abilities, capable of tackling complex challenges and evaluating multiple factors. Exceptional communication and collaboration skills, enabling effective teamwork in a dynamic environment. A strong publication record in top-tier AI/ML conferences (NeurIPS, ICML, KDD, CVPR, AAMAS, etc.) is highly desirable. Experience with cloud computing platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) is a plus. Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA Cloud AI/GenAI Engineer(ServiceNow) We are seeking a talented AI/GenAI Engineer to join our team in delivering cutting-edge AI solutions to clients. The successful candidate will be responsible for implementing, developing, and deploying AI/GenAI models and solutions on cloud platforms. This role requires knowledge of ServiceNow modules like CSM and virtual agent development. Candidate should have strong technical aptitude, problem-solving skills, and the ability to work effectively with clients and internal teams. What You'll Be Doing Key Responsibilities: Cloud AI Implementation: Implement and deploy AI/GenAI models and solutions using various cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI) and frameworks (e.g., TensorFlow, PyTorch, LangChain, Vellum). Build Virtual Agent in SN – Design, develop and deploy virtual agents using SN agent builder Integrate SN – Design and develop seamless integration of SN with other external AI systems Agentic AI: Assist in developing agentic AI systems on cloud platforms, enabling autonomous decision-making and action-taking capabilities in AI solutions. Cloud-Based Vector Databases: Implement cloud-native vector databases (e.g., Pinecone, Weaviate, Milvus) or cloud-managed services for efficient similarity search and retrieval in AI applications. Model Evaluation and Fine-tuning: Evaluate and optimize cloud-deployed generative models using metrics like perplexity, BLEU score, and ROUGE score, and fine-tune models using techniques like prompt engineering, instruction tuning, and transfer learning. Security for Cloud LLMs: Apply security practices for cloud-based LLMs, including data encryption, IAM policies, and network security configurations. Client Support: Support client engagements by implementing AI requirements and contributing to solution delivery. Cloud Solution Implementation: Build scalable and efficient cloud-based AI/GenAI solutions according to architectural guidelines. Cloud Model Development: Develop and fine-tune AI/GenAI models using cloud services for specific use cases, such as natural language processing, computer vision, or predictive analytics. Testing and Validation: Conduct testing and validation of cloud-deployed AI/GenAI models, including performance evaluation and bias detection. Deployment and Maintenance: Deploy AI/GenAI models in production environments, ensuring seamless integration with existing systems and infrastructure. Cloud Deployment: Deploy AI/GenAI models in cloud production environments and integrate with existing systems. Requirements: Education: Bachelor/Master's in Computer Science, AI, ML, or related fields. Experience: 3-5 years of experience in engineering solutions, with a track record of delivering Cloud AI solutions. . Should have at least 2 years’ experience of SN and SN agent builder Technical Skills: Proficiency in cloud AI/GenAI services and technologies across major cloud providers (AWS, Azure, GCP) Experience with cloud-native vector databases and managed similarity search services Experience with SN modules like CSM and virtual agent builder Experience with security measures for cloud-based LLMs, including data encryption, access controls, and compliance requirements Programming Skills: Strong programming skills in languages like Python or R Cloud Platform Knowledge: Strong understanding of cloud platforms, their AI services, and best practices for deploying ML models in the cloud Communication: Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal teams. Problem-Solving: Strong problem-solving skills, with the ability to analyse complex problems and develop creative solutions. Nice to have: Experience with serverless architectures for AI workloads Nice to have: Experience with ReactJS for rapid prototyping of cloud AI solution frontends Location: Delhi or Bangalore (with remote work options) Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

Company Description CS Optima offers cloud-native solutions and partners with customer teams to build and operate applications efficiently in the cloud. We focus on the areas like new cloud-based solution development, application modernization, and building scalable platforms with AWS serverless, AI/ML, Gen AI, etc. Role Description This is a full-time on-site role located in Chennai for a Python Sr Programmer with AWS Cloud Experience. The Sr Programmer will be responsible for back-end web development, software development, programming, and object-oriented programming (OOP). Qualifications Python based API development experience Total years of experience should be 4-8 yrs Programming and Object-Oriented Programming (OOP) skills 1- 2 yrs of experience with AWS services like Terraform, Lambda function, AppSync, DynamoDB Excellent problem-solving abilities Strong communication and collaboration skills Experience in working enterprise level application development Bachelor's degree in Computer Science or related field Agile development experience Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA We are seeking an exceptional Solution Architect/BDM specializing in Hyperscalers. This role requires deep expertise in cloud-based AI services and Large Language Models (LLMs) offered by major cloud providers. As our Cloud AI SME, you will assess client needs, recommend appropriate cloud AI technologies, size opportunities and cloud infrastructure requirements, and collaborate with delivery teams to create end-to-end solutions with accurate costing. This pivotal role demands a strategic thinker with strong technical knowledge and business acumen who can drive innovation and deliver exceptional value to our clients through cloud-based AI solutions. What You'll Be Doing Key Roles and Responsibilities: Solution Architecture & Technical Leadership Demonstrate deep expertise in cloud-based AI services and LLMs such as AWS Bedrock, Azure OpenAI Service, Google Vertex AI, and their supported models Assess client business requirements and translate them into detailed technical specifications leveraging hyperscaler AI capabilities Recommend appropriate cloud AI solutions based on specific business outcomes and use cases Size cloud infrastructure requirements and optimize cost models for AI workloads Design scalable and secure Private AI architectures Create technical POCs and prototypes on hyperscaler platforms to demonstrate solution capabilities Expertise in fine-tuning, query caching, and optimizing vector embeddings for efficient similarity searches Business Development Size and qualify opportunities in the Cloud AI space Develop compelling proposals and solution presentations for cloud-based AI implementations Build and nurture client relationships at technical and executive levels Collaborate with sales teams to create competitive go-to-market strategies Identify new business opportunities through technical consultation on cloud AI solutions Project & Delivery Leadership Work with delivery teams to develop end-to-end solution approaches and accurate costing Lead technical discovery sessions with clients Guide implementation teams during solution delivery Ensure technical solutions meet client requirements and business outcomes Develop reusable solution components and frameworks to accelerate delivery AI Agent Development Architect multi-agent systems that leverage cloud platform capabilities Develop frameworks for agent orchestration, evaluation, and governance on cloud platforms Design cloud-native agent solutions that integrate with existing enterprise systems Implement agent-based solutions using Cloud tools and services Knowledge, Skills, and Attributes: Basic Qualifications: 8+ years of experience in solution architecture or technical consulting roles 3+ years of specialized experience working with LLMs and Private AI solutions Demonstrated expertise with AWS or Azure or GCP AI/ML services Strong understanding of cloud infrastructure sizing, optimization, and cost management for AI workloads Proven experience converting business requirements into technical specifications Experience working with delivery teams to create end-to-end solutions with accurate costing Strong understanding of agentic AI systems and orchestration frameworks Bachelor’s degree in computer science, AI, or related field Ability to travel up to 25% Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. Cloud certifications such as: AWS: AWS Certified Solutions Architect, AWS Certified Machine Learning Specialty Azure: Microsoft Certified: Azure Solutions Architect Expert, Azure AI Engineer Associate GCP: Google Cloud Professional Cloud Architect, Professional Machine Learning Engineer Experience with autonomous agent development using cloud-based AI services Experience with deploying and fine-tuning LLMs on cloud platforms Hands-on experience with prompt engineering and LLM optimization techniques Understanding of AI governance, security, and compliance requirements Prior experience in business development or pre-sales for AI solutions Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Strong problem-solving abilities and analytical mindset Location: Delhi or Bangalore Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA Seeking a talented Solution Architect/BDM for On-Prem/Private AI. Requires deep open source LLM expertise to translate client needs into technical solutions. Responsibilities include assessing needs, recommending LLM tech, sizing opportunities and infrastructure, and collaborating on end-to-end solutions with costing. Needs strategic thinking, strong technical and business skills to drive innovation and client value. What You'll Be Doing Key Roles and Responsibilities: Solution Architecture & Technical Leadership Demonstrate deep expertise in LLMs such as Phi-4, Mistral, Gemma, Llama and other foundation models Assess client business requirements and translate them into detailed technical specifications Recommend appropriate LLM solutions based on specific business outcomes and use cases Experience in sizing and architecting infrastructure for AI/ML workloads, particularly GPU-based systems. Design scalable and secure On-Prem/Private AI architectures Create technical POCs and prototypes to demonstrate solution capabilities Hands-on experience with vector databases (open-source or proprietary), such as Weaviate, Milvus, or Vald etc. Expertise in fine-tuning, query caching, and optimizing vector embeddings for efficient similarity searches Business Development Size and qualify opportunities in the On-Prem/Private AI space Develop compelling proposals and solution presentations for clients Build and nurture client relationships at technical and executive levels Collaborate with sales teams to create competitive go-to-market strategies Identify new business opportunities through technical consultation Project & Delivery Leadership Work with delivery teams to develop end-to-end solution approaches and accurate costing Lead technical discovery sessions with clients Guide implementation teams during solution delivery Ensure technical solutions meet client requirements and business outcomes Develop reusable solution components and frameworks to accelerate delivery AI Agent Development Design, develop, and deploy AI-powered applications leveraging agentic AI frameworks such as LangChain, AutoGen, and CrewAI. Utilize the modular components of these frameworks (LLMs, Prompt Templates, Agents, Memory, Retrieval, Tools) to build sophisticated language model systems and multi-agent workflows. Implement Retrieval Augmented Generation (RAG) pipelines and other advanced techniques using these frameworks to enhance LLM responses with external data. Contribute to the development of reusable components and best practices for agentic AI implementations. Knowledge, Skills, and Attributes: Basic Qualifications: 8+ years of experience in solution architecture or technical consulting roles 3+ years of specialized experience working with LLMs and Private AI solutions Demonstrated expertise with models such as Phi-4, Mistral, Gemma, and other foundation models Strong understanding of GPU infrastructure sizing and optimization for AI workloads Proven experience converting business requirements into technical specifications Experience working with delivery teams to create end-to-end solutions with accurate costing Strong understanding of agentic AI systems and orchestration frameworks Bachelor’s degree in computer science, AI, or related field Ability to travel up to 25% Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. Experience with Private AI deployment and fine-tuning LLMs for specific use cases Knowledge of RAG (Retrieval Augmented Generation) and enterprise knowledge systems Hands-on experience with prompt engineering and LLM optimization techniques Understanding of AI governance, security, and compliance requirements Experience with major AI providers: OpenAI/Azure OpenAI, AWS, Google, Anthropic, etc. Prior experience in business development or pre-sales for AI solutions Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Strong problem-solving abilities and analytical mindset Location: Delhi or Bangalore Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

Job Description You’re not the person who will settle for just any role. Neither are we. Because we’re out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference. Here, you’ll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands. In this role, you’ll help us deliver better care for billions of people around the world. It starts with YOU. In This Role, You Will Proficiency in analyzing data and metrics to make informed decisions, including automation, generating insights, creating dashboards, and performing analytics. In-depth knowledge of e-commerce platforms and digital marketing strategies. Excellent organizational and multitasking skills. Ability to take initiative and work independently in a fast-paced environment. Demonstrated ability to build strong business relationships. In-depth knowledge of sales principles and applications. Strong analytical skills with attention to detail. Proactive, innovative, and committed to driving business results. Key Responsibilities Develop and execute innovative shopper marketing strategies for e-commerce platforms. Collaborate with cross-functional teams and external vendors to ensure seamless execution of plans. Stay up-to-date with industry trends and emerging technologies to continuously improve marketing efforts for e-commerce. Analyze sales data and metrics to measure campaign effectiveness and make data-driven decisions. Design and own the business planning process for accurate business projection and forecasting. Analyze sales data and market trends to identify opportunities for growth and improvement. Lead special projects and initiatives to drive business growth and innovation. Work with the broader DTS team on developing AI/ML models required for the e-commerce channel. About Us Huggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. Kimberly-Clark Professional®. You already know our legendary brands—and so does the rest of the world. In fact, millions of people use Kimberly-Clark products every day. We know these amazing Kimberly-Clark products wouldn’t exist without talented professionals, like you. At Kimberly-Clark, you’ll be part of the best team committed to driving innovation, growth and impact. We’re founded on more than 150 years of market leadership, and we’re always looking for new and better ways to perform – so there’s your open door of opportunity. It’s all here for you at Kimberly-Clark. Led by Purpose. Driven by You. About You You perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development. You love what you do, especially when the work you do makes a difference. At Kimberly-Clark, we’re constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you’ll experience Flex That Works: flexible (hybrid) work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business. Qualifications In one of our Ecommerce Analytics role, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. To succeed in this role, you will need the following qualifications: Proven experience in e-commerce analytics or a similar role, with a minimum of 3+ years in the e-commerce. (preferably FMGC) Strong understanding of the e-commerce channel landscape and operation process Advanced proficiency in data analysis tools and software, including Microsoft Excel, PowerPoint, and Power BI Bachelor's degree in Business Administration, Marketing, Data Science, or a related field; MBA preferred. To Be Considered Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role. In the meantime, please check out the careers website. And finally, the fine print…. For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world. We actively seek to build a workforce that reflects the experiences of our consumers. When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law. The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position. Employment is subject to verification of pre-screening tests, which may include drug screening, background check, and DMV check. Primary Location Mumbai Corporate Office Additional Locations Worker Type Employee Worker Sub-Type Regular Time Type Full time Show more Show less

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights. How You Will Contribute You will: Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization. In this role you will also formulate hypotheses and test them using math, statistics, visualization and predictive modeling Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business. After that you will work with stakeholders to determine how to use business data for business solutions/insights Enable data-driven decision making by creating custom models or prototypes from trends or patterns discerned and by underscoring implications. Coordinate with other technical/functional teams to implement models and monitor results Apply mathematical, statistical, predictive modelling or machine-learning techniques and with sensitivity to the limitations of the techniques. Select, acquire and integrate data for analysis. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements What You Will Bring A desire to drive your future and accelerate your career and the following experience and knowledge: Strong quantitative skillset with experience in statistics and linear algebra. A natural inclination toward solving complex problems Knowledge/experience with statistical programming languages including R, Python, SQL, etc., to process data and gain insights from it Knowledge of machine learning techniques including decision-tree learning, clustering, artificial neural networks, etc., and their pros and cons Knowledge and experience in advanced statistical techniques and concepts including, regression, distribution properties, statistical testing, etc. Good communication skills to promote cross-team collaboration Multilingual coding knowledge/experience: Java, JavaScript, C, C++, etc. Experience/knowledge in statistics and data mining techniques including random forest, GLM/regression, social network analysis, text mining, etc. Ability to use data visualization tools to showcase data for stakeholders About The Role We are seeking a highly motivated and experienced Senior Data Scientist to join our team and spearhead the development of Generative AI (GenAI) capabilities within Mondelēz International from an enterprise application perspective. In this pivotal role, you will champion the full lifecycle of GenAI application projects, taking ownership from initial concept and design to successful deployment, ongoing optimization, and continuous improvement. Beyond project execution, you will serve as a strategic advisor, guiding the evolution of our GenAI capabilities and ensuring alignment with overarching business objectives. This includes defining and enforcing internal standards for GenAI application development, guaranteeing compliance with ethical and security guidelines. You will also support the design of enterprise-level logical architectures for typical GenAI applications, and evaluate and recommend the most appropriate tools and technologies to empower our GenAI initiatives. Ultimately, you will play a critical role in shaping the future of GenAI within Mondelēz, driving innovation, maximizing value realization, and fostering responsible AI adoption across the enterprise. Key Responsibilities: GenAI Application development: Serve as the tech lead from data science point of view in the complete lifecycle of GenAI application projects, from initial ideation and design to successful deployment, optimization, and continuous improvement. Include both in house development or partner collaboration. Strategic Advisory: Provide strategic advice on the evolution of our GenAI capabilities to match company goals. Keeping up with the latest GenAI trend and map that to Mondelez application context to enable us do things better and smarter. Standards and Governance: Help establish and enforce programmatic approaches, governance frameworks and best practices for effective GenAI application building. Responsible AI for GenAI applications, data protection in GenAI context, complying to regulatory requirements and cost-effective GenAI application deployment. Enterprise Architecture Support: Support the design and development of enterprise-level logical architectures for typical GenAI applications, ensuring scalability, maintainability, and integration with existing infrastructure. Technology Evaluation and Recommendation: Evaluate and recommend the most appropriate GenAI tools, technologies, and platforms to empower our GenAI initiatives, staying abreast of the latest advancements in the field with a focus on cloud-based tools/technologies. Knowledge Sharing and Mentoring: Share knowledge and expertise with other team members, mentor junior data scientists, and spearhead the development of a strong GenAI community within Mondelēz. Skills and Experiences: Deep understanding of data science methodologies and implications: proficiency in machine learning, deep learning, statistical modelling, optimization, causal inference etc. Experience in mapping business problems to such methodologies with clear understanding/consideration in Ethical implications, risk mitigation, integration requirements, resource demand/optimization etc. Hands-on experience in cloud environment (8 years): Cloud platform, cloud-based data storage, processing, AI/ML model building, model life cycle, process orchestration, cost optimization etc. Working experience with MLOps (5 years): Understand MLOps processes and practice, familiar with MLOps Tools and technologies. Contributed significantly to shaping MLOps practice in an enterprise setup. LLM Application architecture & Integration (3 years): Hands-on experience building RAG applications, clear understanding of the underline technologies. Extensive experience integrating LLM into workflow through different ways (API etc). Experience in build Agent to leverage LLM and other tools for complex tasks. Familiar with Agent frameworks and orchestration tools. Core GenAI expertise (3 years): Prompt Engineering, Agentic Framework, Model fine-tuning. Cloud Based Deployment & Scaling (LLM-Specific): Practical experience deploying and scaling LLM-based applications in cloud environment. Familiar with scaling strategies for LLMs, and integration with other application. Collaboration with cross-functional teams (5 years): Proven ability to collaborate effectively with cross-functional teams. Excellent communication skills, both written and verbal to articulate technical concepts. Qualifications: Master’s degree in a Quantitative Discipline, PhD preferred. Minimum 12+ years of experience in data science/AI. Minimum 3 years of GenAI focused experience. Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands globally and locally including many household names such as Oreo , belVita and LU biscuits; Cadbury Dairy Milk , Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum. Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Data Science Analytics & Data Science Show more Show less

Job Title: Technical Project Manager (5–8 Years Experience) Location: Flexible (Must be ready for international travel) Joining: Immediate Language Requirement: Fluent in English Role Overview: We are seeking a proactive and technically strong Technical Project Manager with 5–8 years of experience to lead and execute a multi-disciplinary project involving Embedded Systems, AI/ML, Webbased Monitoring, and Application Development. This role demands excellent leadership and stakeholder communication skills along with a solid technical grounding in C/C++, Java, and Python development ecosystems. Key Responsibilities: Drive end-to-end execution of software and embedded system development projects from requirements through deployment. Manage and coordinate cross-functional teams comprising App Developers, Embedded Engineers, Web Developers, and AI Specialists. Liaise with internal and external stakeholders for planning, status updates, and requirement clarifications. Ensure project delivery within timelines, budgets, and defined quality benchmarks. Facilitate Agile ceremonies including sprint planning, retrospectives, and sprint reviews. Manage documentation, technical risk mitigation, and compliance to development best practices. Oversee integration between control equipment, server-side monitoring, and AI-based processing systems. Required Qualifications: 5–8 years of experience managing technical development projects in embedded systems, industrial automation, or AI/ML domains. Solid programming understanding in C/C++, Java, or Python. Hands-on experience working with Windows IoT, embedded platforms, and/or cloud infrastructure (AWS/Azure). Strong project management and documentation skills using tools like JIRA, Git, Confluence, MS Project, or similar. Bachelor’s degree in Electronics, Computer Science, or related engineering discipline. • • • • • • • • • • • • 1 Preferred Traits: Background in Industrial Automation, Image Processing, or AI-led product development. Prior experience with equipment control interfaces or IoT solutions is a plus. Comfortable with fast-paced execution and international stakeholder communication. Open to international travel and ready for immediate onboarding. Show more Show less

Teaching Assistant – Data Science & Data Analyst Program Full Time (Offline) We’re looking for passionate Teaching Assistants to support our offline Data Science and Data Analyst programs. You’ll help learners master concepts across Python, SQL, Excel, Statistics, Power BI/Tableau, Machine Learning, Deep Learning, NLP, and Generative AI. Key Responsibilities: Conduct doubt-clearing sessions and hands-on activities. Guide learners through projects in EDA, dashboards, ML, NLP, and generative models. Track learner progress and provide personalized support. Assist in batch coordination, project reviews, and curriculum improvement. Requirements: Strong in Python, SQL, Statistics, Excel, ML/DL (TensorFlow, PyTorch), NLP (spaCy, Hugging Face), and Gen AI tools (OpenAI, LangChain). Clear communication and mentoring skills. Experience with ML projects, dashboards, and NLP/generative AI tools. Bonus: Experience in mentoring, AI projects on Kaggle, Hugging Face, or GitHub. Show more Show less

Role Title: Head- Business Intelligence & AI Reporting To: Chief Information Officer Location of Posting: Corporate office, Vadodara Position Overview: We are seeking seasoned Head- Business Intelligence & AI to lead our data strategy, design scalable data models, and drive analytical and AI innovation across the organization. This role combines leadership in data science, AI and business analytics with deep technical expertise in data architecture and modelling, AI/ML, ETL, Dashboards and AI including Gen AI, Agentic AI. The ideal candidate will be a strategic thinker, technical expert, and effective communicator capable of aligning data initiatives with business objectives. As the Head of AI and Analytics in a chemical manufacturing organization, your role involves leveraging AI and analytics across all functions—R&D, production, supply chain, sales, marketing, finance, HR, and compliance—while incorporating dashboarding, ETL processes, and a data lake to enable data-driven decision-making. Key Responsibilities: Data Strategy Leadership - Define and drive the enterprise-wide business intelligence and analytics strategy , Align BI initiatives with overall business goals and digital transformation priorities Formulate a comprehensive AI and analytics roadmap aligned with the organization’s goals, focusing on improving operational efficiency. Oversee the design and maintenance of a centralized data lake to store diverse data, ensuring scalability, security, and accessibility for cross-functional BI and AI initiatives. Identify cross-functional use cases, such as using AI to predict market demand, optimize pricing strategies, or enhance employee training programs. Apply AI for predictive maintenance of equipment and process optimization while using BI to monitor production KPIs and identify bottlenecks through historical data analysis. Stakeholder Engagement - Collaborate with executive leadership, functional heads, and IT to identify analytics needs, Translate business questions into actionable insights and dashboards Leadership: Lead the Analytics and AI team, provide strategic insights to the C-suite, and foster a data-driven culture. Develop and maintain interactive dashboards for all functions, providing real-time insights to stakeholders Data-Driven Decision Support - Deliver KPIs, scorecards, and predictive models to enable strategic decision-making, Promote advanced analytics, AI/ML initiatives, and scenario planning AI & GenAI Enablement: Spearhead AI and Generative AI initiatives, including hands-on leadership in deploying LLMs, implementing RAG (Retrieval-Augmented Generation) models, and identifying data science-driven opportunities across the organization. Data Governance & Quality: Ensure best practices in data governance, security, and quality management to uphold data integrity and compliance. Education Qualification: Bachelor’s or master’s in computer science, Data Science, Statistics, or related field. PhD is a plus. Experience: 10+ years of experience in analytics, data architecture, or related roles. Strong knowledge of data modelling techniques Understanding of Data Science (SQL, Python, R, and at least one cloud platform. Experience with modern data warehousing tools (Snowflake, BigQuery, Redshift) and orchestration (Airflow, DBT) Technical Competencies/Skills: Analytics tools (Data Lake, Tableau), and integration with other systems Deep understanding of manufacturing processes and best practices. Proven track record of implementing enterprise analytics solutions and predictive modeling at scale. Strong hands-on experience with tools like Power BI, Tableau, Python/R, SQL, and cloud platforms (AWS/GCP/Azure) or any other relevant cloud platform. Experience setting up and managing data lakes and developing end-to-end data pipelines. Sound understanding of AI/ML techniques , LLMs , GenAI tools , and emerging technologies in data science. Experience with modern data warehousing tools (Snowflake, BigQuery, Redshift) and orchestration (Airflow, DBT). Behavioural Competencies: Strong leadership and team management skills. Excellent communication and interpersonal skills. High level of initiative and proactive approach to problem-solving. Ability to work under pressure and manage multiple priorities. Excellent verbal and written communication skills, with the ability to present complex information to both technical and non-technical stakeholders. Strong analytical and problem-solving skills, with the ability to make data-driven decisions. Show more Show less

We're Hiring: Senior Professor – Data Science & AI 📍 Location: AAFT, Noida Sector 16A AAFT is looking for a passionate and qualified Assistant Professor in Data Science & Artificial Intelligence to join our dynamic faculty team. Requirements: Master’s in Data Science/AI/CS (Ph.D. preferred) UGC-NET qualified (mandatory) 8–10 years of teaching experience Proficient in Python, R, ML tools, and data analytics platforms Industry or research experience in AI/Data Science is a plus Role Highlights: Deliver engaging lectures and lab sessions Guide students on research and real-world projects Stay updated with the latest AI and Data Science trends Contribute to curriculum development and academic initiatives Show more Show less

Roles & Responsibilities Core Skills Expertise in developing and optimizing complex AI/ML applications Strong understanding of AI/ML libraries and frameworks like TensorFlow, Keras, PyTorch, etc. Experience in using AI/ML development tools and technologies Familiarity with software testing and debugging best practices Experience 4.5-6 Years Skills Primary Skill: AI/ML Development Sub Skill(s): AI/ML Development Additional Skill(s): TensorFlow, Pytorch About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA Seeking a talented Solution Architect/BDM for On-Prem/Private AI. Requires deep open source LLM expertise to translate client needs into technical solutions. Responsibilities include assessing needs, recommending LLM tech, sizing opportunities and infrastructure, and collaborating on end-to-end solutions with costing. Needs strategic thinking, strong technical and business skills to drive innovation and client value. What You'll Be Doing Key Roles and Responsibilities: Solution Architecture & Technical Leadership Demonstrate deep expertise in LLMs such as Phi-4, Mistral, Gemma, Llama and other foundation models Assess client business requirements and translate them into detailed technical specifications Recommend appropriate LLM solutions based on specific business outcomes and use cases Experience in sizing and architecting infrastructure for AI/ML workloads, particularly GPU-based systems. Design scalable and secure On-Prem/Private AI architectures Create technical POCs and prototypes to demonstrate solution capabilities Hands-on experience with vector databases (open-source or proprietary), such as Weaviate, Milvus, or Vald etc. Expertise in fine-tuning, query caching, and optimizing vector embeddings for efficient similarity searches Business Development Size and qualify opportunities in the On-Prem/Private AI space Develop compelling proposals and solution presentations for clients Build and nurture client relationships at technical and executive levels Collaborate with sales teams to create competitive go-to-market strategies Identify new business opportunities through technical consultation Project & Delivery Leadership Work with delivery teams to develop end-to-end solution approaches and accurate costing Lead technical discovery sessions with clients Guide implementation teams during solution delivery Ensure technical solutions meet client requirements and business outcomes Develop reusable solution components and frameworks to accelerate delivery AI Agent Development Design, develop, and deploy AI-powered applications leveraging agentic AI frameworks such as LangChain, AutoGen, and CrewAI. Utilize the modular components of these frameworks (LLMs, Prompt Templates, Agents, Memory, Retrieval, Tools) to build sophisticated language model systems and multi-agent workflows. Implement Retrieval Augmented Generation (RAG) pipelines and other advanced techniques using these frameworks to enhance LLM responses with external data. Contribute to the development of reusable components and best practices for agentic AI implementations. Knowledge, Skills, and Attributes: Basic Qualifications: 8+ years of experience in solution architecture or technical consulting roles 3+ years of specialized experience working with LLMs and Private AI solutions Demonstrated expertise with models such as Phi-4, Mistral, Gemma, and other foundation models Strong understanding of GPU infrastructure sizing and optimization for AI workloads Proven experience converting business requirements into technical specifications Experience working with delivery teams to create end-to-end solutions with accurate costing Strong understanding of agentic AI systems and orchestration frameworks Bachelor’s degree in computer science, AI, or related field Ability to travel up to 25% Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. Experience with Private AI deployment and fine-tuning LLMs for specific use cases Knowledge of RAG (Retrieval Augmented Generation) and enterprise knowledge systems Hands-on experience with prompt engineering and LLM optimization techniques Understanding of AI governance, security, and compliance requirements Experience with major AI providers: OpenAI/Azure OpenAI, AWS, Google, Anthropic, etc. Prior experience in business development or pre-sales for AI solutions Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Strong problem-solving abilities and analytical mindset Location: Delhi or Bangalore Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA We are seeking an exceptional Solution Architect/BDM specializing in Hyperscalers. This role requires deep expertise in cloud-based AI services and Large Language Models (LLMs) offered by major cloud providers. As our Cloud AI SME, you will assess client needs, recommend appropriate cloud AI technologies, size opportunities and cloud infrastructure requirements, and collaborate with delivery teams to create end-to-end solutions with accurate costing. This pivotal role demands a strategic thinker with strong technical knowledge and business acumen who can drive innovation and deliver exceptional value to our clients through cloud-based AI solutions. What You'll Be Doing Key Roles and Responsibilities: Solution Architecture & Technical Leadership Demonstrate deep expertise in cloud-based AI services and LLMs such as AWS Bedrock, Azure OpenAI Service, Google Vertex AI, and their supported models Assess client business requirements and translate them into detailed technical specifications leveraging hyperscaler AI capabilities Recommend appropriate cloud AI solutions based on specific business outcomes and use cases Size cloud infrastructure requirements and optimize cost models for AI workloads Design scalable and secure Private AI architectures Create technical POCs and prototypes on hyperscaler platforms to demonstrate solution capabilities Expertise in fine-tuning, query caching, and optimizing vector embeddings for efficient similarity searches Business Development Size and qualify opportunities in the Cloud AI space Develop compelling proposals and solution presentations for cloud-based AI implementations Build and nurture client relationships at technical and executive levels Collaborate with sales teams to create competitive go-to-market strategies Identify new business opportunities through technical consultation on cloud AI solutions Project & Delivery Leadership Work with delivery teams to develop end-to-end solution approaches and accurate costing Lead technical discovery sessions with clients Guide implementation teams during solution delivery Ensure technical solutions meet client requirements and business outcomes Develop reusable solution components and frameworks to accelerate delivery AI Agent Development Architect multi-agent systems that leverage cloud platform capabilities Develop frameworks for agent orchestration, evaluation, and governance on cloud platforms Design cloud-native agent solutions that integrate with existing enterprise systems Implement agent-based solutions using Cloud tools and services Knowledge, Skills, and Attributes: Basic Qualifications: 8+ years of experience in solution architecture or technical consulting roles 3+ years of specialized experience working with LLMs and Private AI solutions Demonstrated expertise with AWS or Azure or GCP AI/ML services Strong understanding of cloud infrastructure sizing, optimization, and cost management for AI workloads Proven experience converting business requirements into technical specifications Experience working with delivery teams to create end-to-end solutions with accurate costing Strong understanding of agentic AI systems and orchestration frameworks Bachelor’s degree in computer science, AI, or related field Ability to travel up to 25% Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. Cloud certifications such as: AWS: AWS Certified Solutions Architect, AWS Certified Machine Learning Specialty Azure: Microsoft Certified: Azure Solutions Architect Expert, Azure AI Engineer Associate GCP: Google Cloud Professional Cloud Architect, Professional Machine Learning Engineer Experience with autonomous agent development using cloud-based AI services Experience with deploying and fine-tuning LLMs on cloud platforms Hands-on experience with prompt engineering and LLM optimization techniques Understanding of AI governance, security, and compliance requirements Prior experience in business development or pre-sales for AI solutions Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Strong problem-solving abilities and analytical mindset Location: Delhi or Bangalore Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

We are seeking a motivated Data Scientist with 2–4 years of experience to join our data team. You will work with large datasets, build predictive models, and deliver actionable insights that improve project performance and reduce risk. Key Responsibilities: Analyze large datasets to extract insights and trends Build ML models (prediction, classification, clustering) using Python Work with AEC domain teams to define data solutions Clean, transform, and validate data (SQL, Python) Automate ML workflows and reporting Create visualizations using Power BI, Tableau, or Plotly Document processes for reproducibility Qualifications: BE/BTech/MTech in Data Science, CS, Statistics, or related fields Strong Python & SQL skills Proficiency in libraries: scikit-learn, pandas, TensorFlow, etc. Knowledge of OOPs and ML concepts Experience with data visualization tools AEC industry knowledge (Revit, Navisworks, BIM 360) is a plus Strong communication & presentation skills Location: Andheri | Industry: AEC (Architecture, Engineering, Construction) Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹1,000,000.00 per year Benefits: Flexible schedule Health insurance Leave encashment Life insurance Paid sick time Paid time off Provident Fund Work from home Schedule: Day shift Fixed shift Monday to Friday Morning shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): What is your current CTC? What is your expected CTC? What is your notice period? Location: Mumbai, Maharashtra (Required) Work Location: In person

Position Overview Job Title: AI Engineer Location: Pune, India Role Description Indra is the central program driving the introduction and safe scaling of AI at DB. Focus is identify AI potential across various banking operations, driving funded use cases into production to create value and confidence and scale across the bank, creating selected shared services with embedded safety to enable low cost scale, developing an AI Workbench for developers for safe AI development at pace, and introducing AI controls whilst aiming to maintain time to market. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Model Deployment: Collaborate with data scientists to deploy machine learning models into production environments. Implement deployment strategies such as A/B testing or canary releases to ensure safe and controlled rollouts. Infrastructure Management: Design and manage the infrastructure required for hosting ML models, including cloud resources and on-premises servers. Utilize containerization technologies like Docker to package models and dependencies. Continuous Integration/Continuous Deployment (CI/CD): Develop and maintain CI/CD pipelines for automating the testing, integration, and deployment of ML models. Implement version control to track changes in both code and model artifacts. Monitoring and Logging: Establish monitoring solutions to track the performance and health of deployed models. Set up logging mechanisms to capture relevant information for debugging and auditing purposes. Scalability and Resource Optimization: Optimize ML infrastructure for scalability and cost-effectiveness. Implement auto-scaling mechanisms to handle varying workloads efficiently. Security and Compliance: Enforce security best practices to safeguard both the models and the data they process. Ensure compliance with industry regulations and data protection standards. Data Management: Oversee the management of data pipelines and data storage systems required for model training and inference. Implement data versioning and lineage tracking to maintain data integrity. Collaboration with Cross-Functional Teams: Work closely with data scientists, software engineers, and other stakeholders to understand model requirements and system constraints. Collaborate with DevOps teams to align MLOps practices with broader organizational goals. Performance Optimization: Continuously optimize and fine-tune ML models for better performance. Identify and address bottlenecks in the system to enhance overall efficiency. Documentation: Maintain clear and comprehensive documentation of MLOps processes, infrastructure, and model deployment procedures. Document best practices and troubleshooting guides for the team. Your Skills And Experience University degree in a technical or quantitative field (e.g., computer science, mathematics, physics, economics, etc.), preferably a Master’s or Doctoral degree 2-4 years of experience in applying AI, machine learning and/or data science in business and/or academia. Strong knowledge of at least one programming language (e.g., Python, JavaScript) and relevant data science or engineering framework (e.g., scikit-learn, TensorFlow, Spark, etc.). Ideally, practical experience in finance and banking Comfortable working with and managing uncertainty and ambiguity Excellent oral and written communication skills in English How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Show more Show less

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Manager- GBS Commercial Location: Bangalore Reporting to: Senior Manager - GBS Commercial Purpose of the role This role sits at the intersection of data science and revenue growth strategy, focused on developing advanced analytical solutions to optimize pricing, trade promotions, and product mix. The candidate will lead the end-to-end design, deployment, and automation of machine learning models and statistical frameworks that support commercial decision-making, predictive scenario planning, and real-time performance tracking. By leveraging internal and external data sources—including transactional, market, and customer-level data—this role will deliver insights into price elasticity, promotional lift, channel efficiency, and category dynamics. The goal is to drive measurable improvements in gross margin, ROI on trade spend, and volume growth through data-informed strategies. Key tasks & accountabilities Design and implement price elasticity models using linear regression, log-log models, and hierarchical Bayesian frameworks to understand consumer response to pricing changes across channels and segments. Build uplift models (e.g., Causal Forests, XGBoost for treatment effect) to evaluate promotional effectiveness and isolate true incremental sales vs. base volume. Develop demand forecasting models using ARIMA, SARIMAX, and Prophet, integrating external factors such as seasonality, promotions, and competitor activity. time-series clustering and k-means segmentation to group SKUs, customers, and geographies for targeted pricing and promotion strategies. Construct assortment optimization models using conjoint analysis, choice modeling, and market basket analysis to support category planning and shelf optimization. Use Monte Carlo simulations and what-if scenario modeling to assess revenue impact under varying pricing, promo, and mix conditions. Conduct hypothesis testing (t-tests, ANOVA, chi-square) to evaluate statistical significance of pricing and promotional changes. Create LTV (lifetime value) and customer churn models to prioritize trade investment decisions and drive customer retention strategies. Integrate Nielsen, IRI, and internal POS data to build unified datasets for modeling and advanced analytics in SQL, Python (pandas, statsmodels, scikit-learn), and Azure Databricks environments. Automate reporting processes and real-time dashboards for price pack architecture (PPA), promotion performance tracking, and margin simulation using advanced Excel and Python. Lead post-event analytics using pre/post experimental designs, including difference-in-differences (DiD) methods to evaluate business interventions. Collaborate with Revenue Management, Finance, and Sales leaders to convert insights into pricing corridors, discount policies, and promotional guardrails. Translate complex statistical outputs into clear, executive-ready insights with actionable recommendations for business impact. Continuously refine model performance through feature engineering, model validation, and hyperparameter tuning to ensure accuracy and scalability. Provide mentorship to junior analysts, enhancing their skills in modeling, statistics, and commercial storytelling. Maintain documentation of model assumptions, business rules, and statistical parameters to ensure transparency and reproducibility. Other Competencies Required Presentation Skills: Effectively presenting findings and insights to stakeholders and senior leadership to drive informed decision-making. Collaboration: Working closely with cross-functional teams, including marketing, sales, and product development, to implement insights-driven strategies. Continuous Improvement: Actively seeking opportunities to enhance reporting processes and insights generation to maintain relevance and impact in a dynamic market environment. Data Scope Management: Managing the scope of data analysis, ensuring it aligns with the business objectives and insights goals. Act as a steadfast advisor to leadership, offering expert guidance on harnessing data to drive business outcomes and optimize customer experience initiatives. Serve as a catalyst for change by advocating for data-driven decision-making and cultivating a culture of continuous improvement rooted in insights gleaned from analysis. Continuously evaluate and refine reporting processes to ensure the delivery of timely, relevant, and impactful insights to leadership stakeholders while fostering an environment of ownership, collaboration, and mentorship within the team. Technical Skills - Must Have Data Manipulation & Analysis: Advanced proficiency in SQL, Python (Pandas, NumPy), and Excel for structured data processing. Data Visualization: Expertise in Power BI and Tableau for building interactive dashboards and performance tracking tools. Modeling & Analytics: Hands-on experience with regression analysis, time series forecasting, and ML models using scikit-learn or XGBoost. Data Engineering Fundamentals: Knowledge of data pipelines, ETL processes, and integration of internal/external datasets for analytical readiness. Proficient in Power BI, Advanced MS Excel (Pivots, calculated fields, Conditional formatting, charts, dropdown lists, etc.), MS PowerPoint SQL & Python. Business Environment Work closely with Zone Revenue Management teams. Work in a fast-paced environment. Provide proactive communication to the stakeholders. This is an offshore role and requires comfort with working in a virtual environment. GCC is referred to as the offshore location. The role requires working in a collaborative manner with Zone/country business heads and GCC commercial teams. Summarize insights and recommendations to be presented back to the business. Continuously improve, automate, and optimize the process. Geographical Scope: Global 3. Qualifications, Experience, Skills Level Of Educational Attainment Required Bachelor or Post-Graduate in the field of Business & Marketing, Engineering/Solution, or other equivalent degree or equivalent work experience. Previous Work Experience 5-8 years of experience in the Retail/CPG domain. Extensive experience solving business problems using quantitative approaches. Comfort with extracting, manipulating, and analyzing complex, high volume, high dimensionality data from varying sources. And above all of this, an undying love for beer! We dream big to create future with more cheer. Show more Show less

Company Description Logic Clutch Software LLP specializes in cutting-edge artificial intelligence and machine learning technologies to transform industries, smart cities, highways, and security systems. With a team of engineers, we develop custom AI/ML applications that solve complex challenges. Partner with us to harness the power of AI and stay ahead in today's rapidly evolving technological landscape. Role Description This is a full-time hybrid role for a Computer Vision AI Engineer at Logic Clutch Software LLP. The engineer will be responsible for developing and implementing computer vision algorithms, working on pattern recognition, robotics, data science, and computer science projects. This position is based in Jaipur with the option for some remote work. Qualifications Computer Vision and Pattern Recognition skills Experience in Data Science and Computer Science Knowledge of Robotics Strong problem-solving and analytical skills Experience in developing AI/ML applications Bachelor's or Master's degree in Computer Science or related field Experience with deep learning frameworks like TensorFlow or PyTorch Excellent communication and teamwork skills Show more Show less

MoAt CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, tar gets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: Senior Associate Data Scientist Location: Bangalore Business & Team: Home Buying Decision Science Impact & contribution: The Senior Associate Data Scientist will use technical knowledge and understanding of business domain to deliver moderate or highly complex data science projects independently or with minimal guidance. You will also engage and collaborate with business stakeholders to clearly articulate findings to solve business problems. Roles & Responsibilities: Analyse complex data sets to extract insights and identify trends. Develop predictive models and algorithms to solve business problems. Work on deployment of models in production. Collaborate with cross-functional teams to understand requirements and deliver data-driven solutions. Clean, preprocess, and manipulate data for analysis through programming. Communicate findings and recommendations to stakeholders through reports and presentations. Stay updated with industry trends and best practices in data science. Contribute to the development and improvement of data infrastructure and processes. Design experiments and statistical analysis to validate hypotheses and improve models. Continuously learn and enhance skills in data science techniques and tools. Strongly support the adoption of data science across the organization. Identify problems in the products, services and operations of the bank and solve those with innovative research driven solutions. Essential Skills: Strong hands-on programming experience in Python (mandatory), R, SQL, Hive and Spark. More than 3 years of relevant experience. Ability to write well designed, modular and optimized code. Knowledge of H2O.ai, GitHub, Big Data and ML Engineering. Knowledge of commonly used data structures and algorithms. Good to have: Knowledge of Time Series, NLP and Deep Learning and Generative AI is preferred. Good to have: Knowledge and hands-on experience in developing solutions with Large Language Models. Must have been part of projects building and deploying predictive models in production (financial services domain preferred) involving large and complex data sets. Strong problem solving and critical thinking skills. Curious, fast learning capability and team player attitude is a must. Ability to communicate clearly and effectively. Demonstrated expertise through blogposts, research, participation in competitions, speaking opportunities, patents and paper publications. Most importantly - ability to identify and translate theories into real applications to solve practical problems. Preferred Skills: Good to have: Knowledge and hands-on data engineering or model deployment Experience in Data Science in either of Credit Risk, Pricing Modelling and Monitoring, Sales and Marketing, Campaign Analytics, Ecommerce Retail or banking products for retail or business banking is preferred. Solid foundation of Statistics and core ML algorithms at a mathematical (under the hood) level. Education Qualifications : Bachelor’s degree in Engineering in Computer Science/Information Technology. If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 25/06/2025 Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Description About Company : Fractal is a leading AI & analytics organization. We have a strong Fullstack Team with great leaders accelerating the growth. Our people enjoy a collaborative work environment, exceptional training, and career development as well as unlimited growth opportunities. We have a Glassdoor rating of 4/5 and achieve customer NPS of 9/10. If you like working with a curious, supportive, high-performing team, Fractal is the place for you. Responsibilities As a Fullstack Engineer, you would be part of the team consisting of Scrum Master, Cloud Engineers, AI/ML Engineers, and UI/UX Engineers to build end-to-end Data to Decision Systems. You would report to a Senior Fullstack Engineer and will be responsible for - Managing, developing & maintaining the backend and frontend for various Data to Decision projects for our Fortune 500 client Work closely with the data science & engineering team to integrate the algorithmic output from the backend REST APIs Work closely with business and product owners to create dynamic infographics with intuitive user controls Qualifications REQUIRED QUALIFICATIONS: 4+ years of demonstrable experience designing, building, and working as a Fullstack Engineer for enterprise web applications Ideally, this would include the following: Expert-level proficiency with Angular Expert-level proficiency with ReactJS or VueJS Expert-level proficiency with Node.js MongoDB) and data warehousing concepts (OLAP, OLTP) Understanding of REST concepts and building/interacting with REST APIs Deep understanding of a few UI concepts: Cross-browser compatibility and implementing responsive web design familiarity with code versioning tools such as Github Preferred Qualifications Familiarity with Microsoft Azure Cloud Services (particularly Azure Web App, Storage and VM), or familiarity with AWS (EC2 containers) or GCP Services. Familiarity with Github Actions or any other CI/CD tool (e.g., Jenkins) Job Location : BLR/MUM/GUR/PUNE/CHENNAI If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

Job Title: Manager–Data Science Location: Full-Time / On-Site / Hyderabad Company Overview A global organization delivering advanced AI, data science, analytics, and technology solutions to enterprises across various industries. Focused on enabling digital transformation, the company builds scalable, data-driven strategies that improve operational efficiency, drive innovation, and unlock sustainable business value. Role Summary The Manager–Data Science is a strategic and hands-on leadership role responsible for driving end-to-end AI/ML initiatives. This role combines deep technical expertise with team leadership and cross-functional collaboration. Ideal candidates will bring strong experience in machine learning, generative AI, and data-driven problem solving, along with a working knowledge of cloud platforms such as AWS, Azure, or GCP. Key Responsibilities Technical Leadership & Delivery • Design, build, and deploy scalable ML and Gen AI models. • Execute end-to-end ML pipelines : data preprocessing, training, evaluation, and deployment. • Collaborate with data engineering teams to ensure seamless integration and performance in production. • Automate workflows and improve model lifecycle efficiency. • Translate business needs into actionable data science problems and solutions. Generative AI & RAG • Develop solutions using Generative AI frameworks. • Implement RAG pipelines with: Fine-tuning techniques like QLoRA Document chunking and ingestion strategies Integration with vector databases (e.g., FAISS, Pinecone, Weaviate) Performance evaluation using appropriate metrics/frameworks Machine Learning & Forecasting Apply classical ML algorithms with techniques like L1/L2 regularization , feature selection, and model interpretation. Build forecasting models and evaluate them using MAPE, SMAPE, etc. Interpret model behavior during under/over forecasting scenarios. Practice Growth • Contribute to the AI/ML practice by developing reusable assets and internal tools. • Lead innovation initiatives and stay current with emerging tools, models, and frameworks. • Support business development through PoCs and technical strategy. People Leadership • Mentor and guide a team of data scientists. • Set clear performance goals, conduct regular feedback, and foster a culture of learning and innovation. • Work cross-functionally with stakeholders to ensure successful delivery. Requirements • Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field with 8+ years of hands-on experience in AI/ML across industries like Retail, BFSI, Healthcare, or eCommerce. • Strong proficiency in Python and SQL; experience with ML pipelines, cloud platforms ( AWS, Azure, or GCP), and big data tools (Hadoop, Hive, PySpark). • Solid understanding of ML algorithms, model interpretation, L1/L2 regularization, feature selection, and forecasting metrics (MAPE, SMAPE). • Practical expertise in Generative AI and RAG pipelines—QLoRA fine-tuning, document chunking, ingestion strategies, vector databases, and evaluation frameworks. • Hands-on experience in Speech-to-Text NLP and audio data processing, with the ability to integrate voice-based data into ML workflows • Strong problem-solving and analytical mindset, with the ability to communicate complex ideas clearly, lead teams, and collaborate with cross-functional stakeholders in a fast-paced environment. Note: We're keeping the process inclusive — whether you're immediately available, serving notice, or have a 60-day notice period, you're welcome to apply. Show more Show less

The Manager, Software Development Engineering leads a team of technical experts in successfully executing technology projects and solutions that align with the strategy and have broad business impact. The Manager, Software Development Engineering will work closely with development teams to identify and understand key features and their underlying functionality while also partnering closely with Product Management and UX Design. They may exercise influence and govern overall end-to-end software development life cycle related activities including management of support and maintenance releases, minor functional releases, and major projects. The Manager, Software Development Engineering will lead & provide technical guidance for process improvement programs while leveraging engineering best practices. In this people leadership role, Managers will recruit, train, motivate, coach, grow and develop Software Development Engineer team members at a variety of levels through their technical expertise and providing continuous feedback to ensure employee expectations, customer needs and product demands are met. About the Role: Lead and manage a team of engineers, providing mentorship and fostering a collaborative environment. Design, implement, and maintain scalable data pipelines and systems to support business analytics and data science initiatives. Collaborate with cross-functional teams to understand data requirements and ensure data solutions align with business goals. Ensure data quality, integrity, and security across all data processes and systems. Drive the adoption of best practices in data engineering, including coding standards, testing, and automation. Evaluate and integrate new technologies and tools to enhance data processing and analytics capabilities. Prepare and present reports on engineering activities, metrics, and project progress to stakeholders. About You: Proficiency in programming languages such as Python, Java, or Scala. Data Engineering with API & any programming language. Strong understanding of APIs and possess forward-looking knowledge of AI/ML tools or models and need to have some knowledge on software architecture. Experience with cloud platforms (e.g., AWS,Google Cloud) and big data technologies (e.g., Hadoop, Spark). Experience with Rest/Odata API's Strong problem-solving skills and the ability to work in a fast-paced environment. Excellent communication and interpersonal skills. Experience with data warehousing solutions such as BigQuery or snowflakes Familiarity with data visualization tools and techniques. Understanding of machine learning concepts and frameworks. What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com. Show more Show less