Job Title: Digital - Senior Company: EY Job Category: Machine Learning Roles & Responsibilities: About Global Delivery Services Global Delivery Services refers to EY's worldwide network of service delivery centers. The GDS team plays an important role in EY’s strategy by ensuring effective support to EY’s growth agenda. Client service is focused on providing Consulting, Assurance, Tax, Strategy \& Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high\-quality, value\-added support, helping deliver exceptional client service. Enablement Services provides cost\-effective, high\-skilled, and innovative services to support EY’s global and local enablement teams. Markets, BMC, AWS, Finance and Accounting, Risk Management, Procurement, People Shared Services, IT Service Delivery and IT Global Infrastructure services, are among the services offered by Enablement Services. The Opportunity We are looking for a Senior AI Engineer with 4\-8 years of overall experience to design, build, and deploy production\-grade AI systems. The ideal candidate has strong hands\-on expertise in Python, Generative AI and Agentic AI, backed by a solid foundation in Machine Learning, Deep Learning, NLP, and Transformer architectures. This is a hands\-on role where you will be expected to operate as a strong individual contributor while also being able to work at a lead capacity, engaging directly stakeholders to translate business needs into scalable technical solutions. Your Key Responsibilities * Own features end\-to\-end, from problem framing and model development to API design, deployment, and scaling on the cloud. * Design, build, and deploy production\-grade AI systems. * Engage directly with stakeholders to translate business needs into scalable technical solutions. * Design and develop REST/APIs and integrate AI models into services. * Scale applications and optimize performance for high\-volume workloads. * Deploy and operate models/services in production environments (CI/CD, containerization, monitoring). * Operate as a strong individual contributor and lead at a stakeholder engagement capacity. * Guide and mentor junior engineers. What We Look For * Excellent verbal and written communication skills. * Ability to clearly articulate technical concepts to both technical and non\-technical audiences. * Strong ownership, accountability, and a delivery\-focused mindset. * Leadership presence and the ability to guide and mentor junior engineers. * Strong problem\-solving and analytical thinking. * Collaborative team player who can also work independently with minimal supervision. * Our Commitment: As a commitment, we persistently endeavour to embody our values, fulfil our purpose, and champion inclusiveness. Our dedication is to cultivate EY into an environment where diverse perspectives are celebrated, creating a supportive atmosphere for individuals to authentically be themselves and contribute their utmost. * Professional Development: From entry\-level employees to senior leaders, we believe in continuous learning. We offer opportunities to build new skills, take on leadership roles, and connect and grow through mentorship. * People and Culture: In our dynamic workplace, diversity, equity, and inclusiveness are ingrained in our culture. We're united by a commitment to create an environment where every individual's differences are valued, practices are equitable, fostering a sense of belonging. Our shared values include integrity, respect, teaming, inclusiveness, energy, enthusiasm, courage to lead, and building relationships based on doing the right thing. * Benefits: Embark on a transformative career journey with us and indulge in a suite of premium benefits, encompassing exclusive health and wellness packages, enticing rewards, and cutting\-edge learning opportunities that empower you to continually grow and excel in your professional and personal development. * How to Apply: If you are passionate to join us and are aligned with our commitment to building a better working world, we invite you to apply by completing our user\-friendly form with personal and professional information and by providing your consent to data privacy. Work Location: Hyderabad, Telangana, India Availability: Full time

Job Title: AI/ML Engineer Company: Techdome Job Category: Machine Learning Roles & Responsibilities: We are looking for an AI/ML Engineer to build and deploy machine learning and Generative AI solutions, from model development to production\-grade AI applications. Key Responsibilities:* Design, train, evaluate and deploy ML and deep learning models for real business problems. * Build Generative AI applications using LLMs, including RAG pipelines, AI agents, prompt engineering and fine\-tuning. * Work with frameworks such as LangChain, LlamaIndex and vector databases (Pinecone, FAISS, Weaviate, pgvector). * Develop data preprocessing, feature engineering and model training pipelines. * Deploy models as scalable APIs and services; set up MLOps practices for versioning, monitoring and retraining. * Evaluate model performance, accuracy, latency and cost, and optimise accordingly. * Work with product, data and engineering teams to take AI features from proof of concept to production. Work Location: Hyderābād, India Availability: Full time

Job Title: Applied AI Platform Engineer-DATA ENGINEER - Software Specialist Engineer II Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Role Overview: As an Applied AI Platform Engineer II*, you will actively engage in your engineering craft, taking a hands\-on approach to building the platforms, tooling, accelerators, and frameworks that other engineering teams build on. Your expertise will be pivotal in delivering platform capabilities that delight the engineers who depend on them, while driving tangible leverage and value across Deloitte’s AI engineering investments. You will leverage your extensive engineering craftsmanship across platform engineering, distributed systems, and modern AI/ML and Data infrastructure, consistently demonstrating your strong track record in delivering high\-quality, reusable, outcome\-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross\-functional teams to design, build, and operate the enabling layer for AI engineering at scale. Key Responsibilities: * Embrace and drive a culture of accountability for engineering\-leverage and adoption outcomes. Build platform capabilities that solve recurring problems once, well, for many teams—reducing per\-team build and operate toil while ensuring consistency and compliance by default through high\-quality, lean designs and implementations. * Serve as the technical advocate for the platform as a product, ensuring capability integrity, feasibility, and alignment with the needs of the engineering teams who consume it. Lead requirement discovery with consuming teams, component design of platform services, frameworks, and the AI control plane, and their development, testing, integration, and support. * Maintain accountability for the integrity of the platform architecture and for the enterprise tech\-stack conformance baseline that engineering teams build against. Manage platform dependencies, code design, implementation, the data and policy\-as\-code enforcement layers, and the OpenTelemetry\-based instrumentation substrate—building capabilities that are operable, instrumented, performant, and drift\-resistant by design, to the production standards set by SRE. Stay hands\-on, self\-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, codify recurring patterns into reusable components and golden paths, and write high\-quality, supportable, scalable code to ensure all platform KPIs (adoption, reliability\-by\-design, and developer experience) are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. * Develop lean platform capabilities through rapid, inexpensive experimentation to solve the real needs of consuming engineering teams. Engage with those teams before, during, and after delivery to ensure the right capability is delivered at the right time—and adopted, not shelved. * Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning\-forward approach to navigate complexity and uncertainty, delivering platform capabilities as lean, adoption\-validated increments rather than big\-bang builds, and keeping them supportable and maintainable. * Work collaboratively with empowered, cross\-functional partners: engineering, SRE, security and risk, data governance, and engineering leadership and architecture. Integrate their constraints into the paved roads so that the secure, compliant, and reliable path is the easy path. Deliver capabilities that are admissible\-by\-design and submit them for admission, co\-defining service\-level objectives with SRE, who set production standards and own the admission decision. Foster a collaborative environment that enhances team synergy and innovation. * Possess expertise in platform engineering and modern AI/ML infrastructure—internal developer platforms, MLOps/LLMOps, model serving, retrieval and vector infrastructure, eval and observability tooling, policy\-as\-code, container orchestration, IaC, and CI/CD at platform scale—including AI and Agentic SSDLC to deliver self\-service, governed capabilities with full automation from discovery to production to operations and all quality checks through the SSDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize platform solutioning and delivery. Demonstrate strong understanding of the full lifecycle of platform and product development, focusing on continuous improvement and learning. * Quickly acquire domain knowledge of the enterprise data estate and the AI use\-case patterns the platform must serve. Translate the needs of engineering teams, reference architectures, and governance requirements into reusable frameworks, the data platform, and governance\-as\-code enforcement. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. * Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well\-structured arguments and trade\-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. * Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co\-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost\-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom\-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting\-edge internal and go\-to\-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients’ most complex challenges. This makes Deloitte one of the most rewarding places to work. 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. Benefits to help you thrive Work Location: Karnataka, India Availability: Full time

Job Title: Engineer III, Software-Image Processing Company: Thermo Fisher Scientific Job Category: Machine Learning Roles & Responsibilities: Work Schedule First Shift (Days)Environmental Conditions About the product: TheThermoScientific™Metrios™ is an advanced TEM imaging system designed to automate andoptimizeimaging workflows. With theMetrios™ AX, we introduced the world's first commercially available Scanning Transmission Electron Microscope (S/TEM) using machine learning for automated, high\-quality data collection. Exclusively designed for the semiconductor industry, theMetriosseries removes automation barriers, enabling labs to measure critical dimensions of semiconductor devices during development and manufacturing. You will be based in Hyderabad, IN, and report to the Functional Group Lead. In this role, you'll collaborate with developers, product owners, architects, and other stakeholders, uniting multi\-site teams to deliver reliable and secure software solutions. Your responsibilities include: * Design, develop, test, and maintain robust, scalable, and high\-performance software solutions for advanced 4D\-STEM applications. * Develop image\-processing software and libraries to support advanced microscopy and metrology applications. * Develop scientific and computational software using Python, contributing to data acquisition, processing, analysis, and visualization workflows. * Write and maintain high\-quality unit tests, integration tests, and system\-level component tests to ensure software reliability and performance. * Participate in code reviews, promoting software quality, maintainability, and adherence to engineering best practices. * Diagnose, troubleshoot, and resolve software defects, performance bottlenecks, and computational challenges. * Apply scientific computing and numerical methods to microscopy and metrology challenges, leveraging CPU and GPU acceleration to process, analyze, and optimize large\-scale 4D\-STEM data workflows. * Stay current with advancements in scientific computing, high\-performance computing, numerical methods, and software engineering practices. * Learn TEM, 4D\-STEM, and semiconductor metrology domain knowledge and validate software solutions using experimental and simulated datasets. How will you get here? * 5 \+ years of Strong software development experience in Python; experience with C\#, Rust is a plus. * Experience developing scientific and computational software in Windows environments. * Knowledge of numerical methods, linear algebra, and scientific computing concepts used in data analysis and computational applications. * Solid understanding of software engineering principles, including object\-oriented design, testing, code reviews. * Experience with scientific computing libraries such as NumPy, SciPy, CuPy or similar frameworks. * Experience with image processing and analysis techniques, preferably using libraries such as OpenCV, scikit\-image, or similar scientific imaging frameworks. * Experience processing and analyzing large\-scale datasets and developing performant computational workflows. * Knowledge of concurrent and parallel programming, including multithreading, multiprocessing, and asynchronous processing. * Experience leveraging CPU and GPU acceleration technologies, including CUDA or equivalent frameworks, for computationally intensive workloads. * Experience writing and maintaining unit tests, integration tests, and system\-level tests. * Familiarity with TypeScript and modern web technologies is a plus. Work Location: Andhra Pradesh, India Availability: Full time

Job Title: Lead Agentic AI Engineer Company: AiFA Labs Job Category: Machine Learning Roles & Responsibilities: Roll : Lead Agentic AI Engineer Experience : 5\+ Years Key Responsibilities * Develop and implement innovative AI and ML models to solve complex business problems. * Design and build scalable AI solutions using Python and relevant frameworks/libraries (Flask API, Fast API, Pandas, Scikit Learn, PyTorch, Transformer, OpenAI, Hugging face). * Collaborate with cross\-functional teams to understand business requirements and translate them into technical solutions. * Conduct research and development to stay updated with the latest advancements in AI and ML. * Engage with clients to understand their needs and provide tailored AI solutions. * Lead and mentor junior team members, fostering a collaborative and innovative work environment. * Ensure continuous learning and development to keep up with the fast\-paced AI industry. * Rapidly prototype and iterate on AI models and solutions to meet business needs. Work Location: Hyderabad, Telangana, India Availability: Full time

Job Title: Senior_Expert (AI_Engineering) Company: Novartis Job Category: Machine Learning Roles & Responsibilities: Relocation Support: Yes Imagine shaping how breakthrough medicines are discovered by bringing cutting\-edge AI from concept to real\-world application. As a Senior Expert in AI\-Engineering, you will sit at the critical intersection of innovation and delivery—transforming advanced machine learning models into scalable, reliable solutions that accelerate drug discovery. Collaborating with leading scientists and AI experts, you will drive the translation of pioneering research into impactful tools, ensuring models are reproducible, efficient, and ready to solve complex biomedical challenges. This is an opportunity to directly influence how modern AI reshapes scientific discovery and improves patient outcomes. ### About the Role Key Responsibilities Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people\-and\-culture Division Biomedical Research Business Unit Information Technology Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS \= IN010\) Novartis Healthcare Private Limited Functional Area Data and Digital Job Type Full time Employment Type Regular Shift Work No ### Accessibility and accommodation Work Location: Telangana, India 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: Pune Division, Maharashtra, India Availability: Full time

Job Title: data scientist architect Company: Innominds Software Job Category: Machine Learning Roles & Responsibilities: Role \& responsibilities Key Responsibilities * Architect and develop enterprise\-grade GenAI and RAG solutions. * Build RAG pipelines covering document ingestion, chunking, embeddings, retrieval, prompt orchestration, and response generation. * Develop LLM applications using LangChain. * Work with vector databases and semantic search technologies. * Evaluate and optimize retrieval quality, LLM responses, latency, and overall solution performance. * Design traditional Data Science/ML solutions using Python and relevant ML frameworks. * Define scalable AI/ML solution architectures and integration patterns. * Work closely with data engineering, application development, cloud, security, and business teams. * Provide technical guidance on AI architecture, solution design, and implementation. Work Location: Hyderabad, Bengaluru, India 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: 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: Hyderābād, India Availability: Full time