Job Title: Lead Data Scientist - AI Delivery Company: Wolters Kluwer Job Category: Machine Learning Roles & Responsibilities: About The Role The FCC DnA team is seeking an experienced Lead Data Scientist to provide technical and delivery leadership across multiple AI and Data Science initiatives. This role will serve as a key India delivery partner to the U.S. AI leadership team and will be responsible for independently driving execution across products and use cases such as Data Integrity, intelligent document processing, Broker Statement processing, workflow automation and other Applied AI initiatives. The role requires a strong technical leader who can manage a small team, translate business priorities into executable plans, remove delivery blockers and work effectively across Data Science, Product, Engineering and Platform teams. Since these solutions are deployed on the Digital Twin platform, the successful candidate should be comfortable working with platform engineering teams on APIs, environments, deployments, integrations, monitoring and production issues. This is not intended to be a pure people\-management role or a pure modeling role. The person should maintain strong technical depth across Data Science, Machine Learning and Applied AI, while also understanding enough software and platform engineering to move solutions from development through production. Experience with Statistical Modeling and model lifecycle management is a strong plus, as the role will also support and collaborate with the broader AI Modeling team. The successful candidate should be able to work independently with limited day\-to\-day supervision, take ownership of delivery outcomes, communicate risks and decisions clearly, and present technical progress and recommendations confidently to senior leaders. Key Responsibilities * Own end\-to\-end delivery of multiple AI and Data Science initiatives from requirements and solution design through development, testing, deployment and production stabilization. * Act as the primary India delivery lead for assigned initiatives and independently manage priorities, milestones, dependencies, risks and execution. * Lead and mentor a small team of Data Scientists, AI Engineers and technical resources, providing clear direction, technical guidance and accountability. * Translate ambiguous business problems into practical AI, analytics and engineering solutions aligned to business outcomes. * Partner closely with the Digital Twin platform team to resolve environment, integration, deployment, performance and production issues. * Provide sufficient technical depth to distinguish whether issues originate in the model, application, integration, data or platform layer and coordinate the appropriate resolution. * Participate in solution architecture and design discussions and ensure solutions are scalable, reliable, secure and maintainable. * Guide teams on API integrations, data pipelines, authentication, cloud environments, CI/CD, logging, monitoring and other production dependencies. * Provide technical oversight for Machine Learning, NLP, document intelligence, Generative AI, RAG and Agentic AI solutions. * Review model and AI approaches, evaluation methodology, error analysis, performance metrics and implementation trade\-offs. * Partner with the AI Modeling team on model development, validation, monitoring, drift detection and productionization when required. * Drive root\-cause analysis and corrective actions when solution accuracy, reliability or production performance is below expectations. * Promote reusable frameworks, components and delivery patterns that can support multiple products and customers. * Partner with Product, Business, Advisory, Engineering and Content teams to ensure technical delivery remains aligned to customer and business needs. * Provide concise status updates covering progress, risks, dependencies and decisions required, and escalate issues early with recommended actions. * Present technical solutions, delivery updates and recommendations clearly to senior leaders and non\-technical stakeholders. * Support hiring, interviewing, mentoring and capability development as the AI/Data Science team grows. * 8\+ years of progressive experience in Data Science, Machine Learning, Applied AI, AI Engineering or related technical roles. * Demonstrated experience leading end\-to\-end delivery of production AI, Machine Learning or analytics solutions. * At least 2\-0 years of experience leading technical teams, workstreams or complex cross\-functional initiatives. * Proven ability to independently manage multiple projects or workstreams with limited supervision. * Experience working with Engineering, Platform, DevOps or Cloud teams to move AI solutions into production. * Experience troubleshooting production issues and coordinating resolution across multiple technical teams. * Experience managing, mentoring or providing technical direction to Data Scientists and/or AI Engineers. * Experience communicating technical decisions, risks and outcomes to senior stakeholders. * Experience working in distributed or global teams is strongly preferred. * Experience in Financial Services, Banking, Insurance, Risk, Regulatory or Compliance environments is desirable. * Strong understanding of Statistics, Machine Learning and predictive modeling concepts. * Experience with regression, classification, tree\-based models, ensemble methods, clustering and other common Machine Learning techniques. * Strong understanding of model evaluation, validation, feature engineering, overfitting, class imbalance, data leakage and model monitoring. * Ability to challenge model selection and evaluation approaches and assess trade\-offs across accuracy, explainability, stability and maintainability. * Understanding of model lifecycle management including development, validation, deployment, monitoring, drift detection and retraining. * Experience with document intelligence, NLP or unstructured data processing is highly desirable. * Experience with Generative AI, LLMs, embeddings, RAG and Agentic AI is highly desirable. * Ability to determine when traditional Machine Learning, Generative AI or a hybrid approach is most appropriate. * Strong Python skills and good SQL and data engineering fundamentals. * Strong understanding of REST APIs and enterprise system integrations. * Experience with Azure and/or AWS cloud environments. * Good understanding of Docker, Git, CI/CD and modern software delivery practices. * Working knowledge of application architecture, microservices and scalable system design. * Understanding of authentication, secrets management, API security and enterprise networking concepts. * Experience with logging, monitoring, troubleshooting and production support. * Understanding of MLOps and/or LLMOps practices including versioning, deployment, monitoring and evaluation. * Ability to work effectively with platform engineers without needing to be a dedicated platform engineer. Leadership Mindset * Takes ownership of outcomes rather than limiting responsibility to assigned tasks. * Works independently and moves initiatives forward even when requirements or dependencies are ambiguous. * Balances business priorities, technical quality, delivery speed and long\-term maintainability. * Identifies risks early, performs root\-cause analysis and brings solution\-oriented recommendations. * Challenges technical assumptions constructively and raises the quality of decisions across the team. * Develops team members through technical coaching, clear expectations and meaningful feedback. * Communicates confidently with Data Scientists, Engineers, Product leaders and senior business stakeholders. * Can present complex technical topics in clear business language and influence decisions across teams. * Remains hands\-on enough to provide meaningful technical guidance while successfully leading delivery across multiple initiatives. * Demonstrates strong judgment, accountability and a collaborative leadership style. Work Location: Pune/Pimpri-Chinchwad Area Availability: Full time

Job Title: Data Scientist – AI Modelling (3 -5 years only) Company: Wolters Kluwer Job Category: Machine Learning Roles & Responsibilities: About The Role The FCC DnA team is seeking an experienced Data Scientist to join our AI Modeling team and develop scalable Machine Learning, statistical and AI solutions. Key Responsibilities * Translate business problems and requirements into appropriate analytical and modeling approaches. * Independently design, develop and evaluate statistical and Machine Learning models. * Establish appropriate baseline and challenger models and objectively compare alternative approaches. * Perform exploratory analysis, feature engineering, feature selection and data\-quality assessment. * Define appropriate model evaluation metrics based on the business problem and the cost of different types of errors. * Apply cross\-validation, hyperparameter tuning, out\-of\-sample testing and other robust validation techniques. * Conduct detailed error analysis, sensitivity analysis and model diagnostics. * Identify and address issues such as data leakage, class imbalance, multicollinearity, sampling bias and overfitting. * Evaluate model explainability, stability and performance trade\-offs. * Clearly document model methodology, assumptions, limitations and validation results. * Partner with Engineering and MLOps teams to transition models from experimentation into production. * Support model monitoring, performance tracking and drift analysis after deployment. * Build reusable modeling components and frameworks that can be leveraged across multiple use cases. * Contribute to NLP, Generative AI, RAG and hybrid AI solutions where appropriate. * Mentor junior Data Scientists and conduct code and model reviews. * Communicate modeling recommendations and trade\-offs effectively to business, Product and technical stakeholders. * Strong Python and modern Data Science ecosystem experience. * Strong SQL and data manipulation skills. * Experience developing production\-quality, reusable modeling code. * Familiarity with APIs and frameworks such as FastAPI. * Familiarity with Git, Docker, CI/CD, cloud platforms such as Azure/AWS and MLOps practices. * Experience with model deployment, monitoring and versioning is preferred. * Experience with NLP, Generative AI, LLMs, embeddings, RAG or Agentic AI is desirable and will enable contribution across broader AI initiatives. * Ask which modeling approach is most appropriate for the problem and can explain why. * Challenge assumptions rather than automatically selecting the most complex algorithm. * Are comfortable working with ambiguous business problems and defining a structured analytical approach. * Balance experimentation with analytical rigor and production considerations. * Take ownership of modeling workstreams and independently drive them to completion. * Clearly articulate model performance, assumptions, limitations and business implications. * Mentor junior team members and raise the quality of modeling practices around them. * Collaborate effectively with Product, Engineering and business stakeholders. * Remain current with developments across statistical modeling, Machine Learning and broader Applied AI. Work Location: Pune/Pimpri-Chinchwad Area Availability: Full time

Job Title: Machine Learning-AI and Data Science Engineer III Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Level: AI and Data Science Engineer III As an experienced AI and Data Science Engineer III at Deloitte Consulting, you will design, develop, and deploy enterprise\-scale software solutions, lead the creation of robust pipelines and manage code deployment across environments. You will collaborate with cross\-functional, global teams to translate functional requirements into effective deliverables, independently guiding and mentoring junior team members. Your role spans the full project lifecycle, including estimation, planning, execution, and tracking key metrics for analysis, ensuring high\-quality and timely delivery of solutions. Work you’ll do: Lead discussions with business and functional analysts to understand requirements and assess integration impacts on business architecture. Prepare technical architecture and design, clarify requirements, and resolve ambiguities. Develop solutions in line with established technical designs, integration standards, and quality processes. Create and enforce technical design and development guides, templates, and standards. Facilitate daily scrum meetings, manage deliverables, and prepare weekly status reports for leadership review. Conduct detailed deliverable reviews and provide technical guidance to team members. Collaborate with onsite clients, coordinators, analysts, and cross\-functional teams. Design templates or scripts to automate routine development or operational tasks. The team: AI \& Data offers a full spectrum of solutions for designing, developing, and operating cutting\-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively. * Design and modernize large\-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing * Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions * Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As\-a\-Service models to ensure continuous insights and enhancements. \#FY27ReferralCampaign \#2027\AI\&E\Dscreen \#AI\&DATAROLESAUGUST29 \#AID2026 Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state\-of\-the\-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Machine Learning Engineer Company: Capco Job Category: Machine Learning Roles & Responsibilities: “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by . With our presence across 32 cities across globe, we support 100\+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.* Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. 🔹 Key Responsibilities * Design, experiment with, and deploy AI/ML models in a fast\-paced environment. * Monitor and evaluate ML model performance . * Develop and implement ML solutions using appropriate frameworks and methodologies. * Work with integration technologies and APIs to support ML solutions. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Senior – MLE – Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx Company: UPS Job Category: Machine Learning Roles & Responsibilities: Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill \+ passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description About Machine Learning Engineering at UPS Technology: We’re the obstacle overcomers, the problem get\-arounders. From figuring it out to getting it done… our innovative culture demands “yes and how!” We are UPS. We are the United Problem Solvers. About This Role We are seeking passionate Senior Machine Learning Engineers to design, develop, and deploy ML models and pipelines that drive business outcomes. You’ll work closely with data scientists, software engineers, and product teams to build intelligent systems that are robust, scalable, and aligned with UPS’s strategic goals. You will contribute across the full ML lifecycle—from data exploration and feature engineering to model training, evaluation, deployment, and monitoring. You’ll also help shape our MLOps practices and mentor junior engineers. Key Responsibilities * Design, deploy, and maintain production\-ready ML models and pipelines for real\-world applications. * Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra\-as\-code with Terraform/Helm. * Implement automated retraining, drift detection, and re\-deployment of ML models. * Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML. * Implement model monitoring, observability, and alerting across accuracy, latency, and cost. * Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases. * Ensure pipelines are secure, compliant, and cost\-optimized. * Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance. * Mentor junior engineers and contribute to long\-term ML platform architecture design and technical roadmap. * Stay current with the latest ML research and apply new tools pragmatically to production systems. * Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems. Work Location: Chennai, Tamil Nadu, India Availability: Full time

Job Title: VP - Applied AI ML Lead Company: JPMorganChase Job Category: Machine Learning Roles & Responsibilities: Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As an Applied AI/ML Vice President within Asset \& Wealth Management, you will utilize your quantitative, data science, and analytical skills to tackle complex problems. Your role will involve collaborating with various teams to design, develop, evaluate, and execute data science and analytical solutions, all while maintaining a deep functional understanding of the business problem at hand. Your responsibilities will also include data wrangling, data analysis, and modeling, which encompasses model selection and the creation of swift, applicable modeling solutions. Job Responsibilities * Engages with stakeholders and understanding business requirements, * Develops AI/ML solutions to address impactful business needs, * Works with other team members to productionize end\-to\-end AI/ML solutions, * Engages in research and development of innovative relevant solutions, * Coaches other AI/ML team members towards both personal and professional success, * Collaborates across teams to attain the mission and vision of the team and the firm ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. About The Team J.P. Morgan Asset \& Wealth Management delivers industry\-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Senior – MLE – Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx Company: UPS Job Category: Machine Learning Roles & Responsibilities: Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill \+ passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description About Machine Learning Engineering at UPS Technology: We’re the obstacle overcomers, the problem get\-arounders. From figuring it out to getting it done… our innovative culture demands “yes and how!” We are UPS. We are the United Problem Solvers. About This Role We are seeking passionate Senior Machine Learning Engineers to design, develop, and deploy ML models and pipelines that drive business outcomes. You’ll work closely with data scientists, software engineers, and product teams to build intelligent systems that are robust, scalable, and aligned with UPS’s strategic goals. You will contribute across the full ML lifecycle—from data exploration and feature engineering to model training, evaluation, deployment, and monitoring. You’ll also help shape our MLOps practices and mentor junior engineers. Key Responsibilities * Design, deploy, and maintain production\-ready ML models and pipelines for real\-world applications. * Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra\-as\-code with Terraform/Helm. * Implement automated retraining, drift detection, and re\-deployment of ML models. * Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML. * Implement model monitoring, observability, and alerting across accuracy, latency, and cost. * Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases. * Ensure pipelines are secure, compliant, and cost\-optimized. * Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance. * Mentor junior engineers and contribute to long\-term ML platform architecture design and technical roadmap. * Stay current with the latest ML research and apply new tools pragmatically to production systems. * Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems. Work Location: Chennai, Tamil Nadu, India Availability: Full time

Job Title: Early Professional, Digital Solutions Company: WSP Job Category: Machine Learning Roles & Responsibilities: * Develop and implement Generative AI solutions using Azure platforms. * Collaborate with cross\-functional teams to design, develop, and deploy AI models. * Work on Agent AI projects, ensuring the integration and optimization of AI agents. * Utilize commercial LLMs such as GPT within Azure AI Foundry for various AI applications and projects. * Apply NLP techniques to process and analyze large datasets. * Implement document extraction techniques for data processing and management. * Leverage knowledge management techniques to enhance AI models and solutions. * Participate in code reviews, provide feedback, and ensure best practices in AI development. * Stay updated with the latest advancements in AI, Generative AI, NLP, and related technologies. WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation \& Infrastructure, Property \& Buildings, Earth \& Environment, Power \& Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come. * Maximize collaboration. * Maintain product quality and cultural integrity. Balance community, collaboration, opportunity, productivity, and efficiency. * WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service. Work Location: Uttar Pradesh, India Availability: Full time

Job Title: Senior Software Engineer (Networking/C/C++) Company: Barracuda Networks Job Category: Machine Learning Roles & Responsibilities: Come join our passionate team! Barracuda is a leading cybersecurity company providing complete protection against complex threats. Our platform protects email, data, applications, and networks with innovative solutions, and a managed XDR service, to strengthen cyber resilience. Hundreds of thousands of IT professionals and managed service providers worldwide trust us to protect and support them with solutions that are easy to buy, deploy, and use. As a Senior Software Engineer you will have the opportunity to work on cutting\-edge on\-premises appliance based and cloud\-based email security products. You will be working closely with product managers, customers, and developers to design, develop, test, and deliver new and innovative features in a continuous delivery model. So, if you've got what it takes to excel in this role, we would like to talk to you! * Designing, developing, and optimizing robust backend systems using C/C\+\+/PERL and other languages, focusing on scalability, maintainability, and performance. * Guiding and mentoring junior developers, enforcing best practices, and promoting technical excellence within the team. * Collaborating with product managers, customers, and cross\-functional teams to translate business requirements into cutting\-edge solutions. * Conducting thorough code reviews, troubleshooting issues, and ensuring adherence to high coding standards. * Staying ahead of industry trends and technologies, influencing architectural decisions and technology roadmaps. * Contributing to a supportive and inclusive team culture that values diverse perspectives and fosters creativity. * Integrating Artificial Intelligence and Machine Learning capabilities into our systems to drive automation, intelligent threat detection, and advanced product features. What You Bring to the Role: Work Location: Karnataka, India Availability: Full time

Job Title: Artificial Intelligence Trainer Company: orange2green Job Category: Machine Learning Roles & Responsibilities: Job Description: Artificial Intelligence Trainer – AI \& Emerging Technologies About the Role The trainer will be responsible for delivering practical, industry\-oriented training in Artificial Intelligence, Machine Learning, programming, and emerging technologies. The role involves teaching students from both technical and non\-technical backgrounds, making complex concepts easy to understand through interactive sessions, practical demonstrations, and hands\-on projects. Key Responsibilities * Deliver training sessions on Artificial Intelligence, Machine Learning, and emerging technologies to university students. * Teach students from technical and non\-technical backgrounds, adapting the training approach to different levels of understanding. * Conduct hands\-on training in Python programming, AI fundamentals, machine learning concepts, and practical applications. * Provide training in programming languages such as Python, Java, and C\+\+, based on the curriculum and training requirements. * Introduce students to web technologies, including HTML, CSS, and JavaScript. * Teach database fundamentals, SQL queries, and data management concepts. * Introduce cloud computing concepts and relevant real\-world applications. * Design lesson plans, presentations, practical exercises, assignments, and project\-based learning activities. * Explain technical concepts using real\-world examples, demonstrations, and interactive teaching methods. * Guide students in developing mini\-projects and applying their learning to practical problem\-solving. * Assess student progress through assignments, practical evaluations, quizzes, and feedback sessions. * Encourage student participation, critical thinking, creativity, and problem\-solving skills. * Coordinate with university representatives and the internal training team to ensure smooth delivery of training programs. * Maintain attendance records, training reports, student performance records, and other required documentation. * Stay updated on developments in Artificial Intelligence, Machine Learning, and emerging technologies. * Artificial Intelligence: AI fundamentals, applications, and responsible use of AI tools. * Machine Learning: Core ML concepts, basic algorithms, and practical applications. * Programming: Python proficiency; knowledge of Java and C\+\+. * Web Development: HTML, CSS, and JavaScript fundamentals. * Database Management: SQL, database concepts, and basic data handling. * Cloud Computing: Fundamental cloud concepts and applications. * Practical Training: Ability to conduct coding exercises, demonstrations, and project\-based learning sessions. * Excellent verbal communication skills in English. * Strong presentation and classroom management skills. * Ability to explain technical concepts in simple, understandable language. * Patience and adaptability when teaching students with different learning levels. * Strong problem\-solving, mentoring, and interpersonal skills. * Willingness to learn new technologies and continuously improve training methods. Work Location: In person Work Location: Telangana, India Availability: Full time