1465 Generative Ai Jobs - Page 23

As a Manager of Engineering (AI/ML) at our company, you will lead a team of ML engineers, data scientists, and software engineers to develop cutting-edge AI/ML solutions that drive business operations and innovation. Your role will involve a combination of technical leadership, strategic thinking, and operational skills to ensure the successful development and implementation of AI/ML models and systems. You will be responsible for leading end-to-end design, development, and deployment of scalable AI/ML solutions, ensuring high performance, reliability, and maintainability. Additionally, you will coach the team on AI/ML projects, resolve technical challenges, and establish robust MLOps practices for model development, deployment, monitoring, and retraining. Leveraging Gen AI techstack, including Langchain, LLM, and RAG, you will build solutions that address business challenges and incorporate advanced technologies into the company's applications. To excel in this role, you should have 10+ years of overall experience, including 5+ years of leading engineering teams. A Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field is required, with proficiency in ML packages like Tensorflow, PyTorch, scikit-learn, and Spark ML. You must possess a deep understanding of AI/ML algorithms, frameworks, and technologies, along with experience in building and deploying AI/ML models at scale. Furthermore, a strong knowledge of software engineering best practices, including agile development methodologies, code review processes, and CI/CD pipelines, is essential. Familiarity with Generative AI, RAG techniques, NLP concepts, and programming languages such as Python is also required. Experience in a distributed, large-scale, and fast-growing environment is preferred. If you have experience in LangChain, it would be considered a bonus. Please note that visa sponsorship is not available for this position. We are committed to fostering a diverse, welcoming, and inclusive environment where all individuals are encouraged to bring their authentic selves to work. Our recruitment process ensures fair consideration of all applicants, including those with arrest and conviction records, in compliance with applicable laws. At our company, we believe in empowering our employees to achieve success through a flexible workforce model, offering options for fully office-based, fully remote, or hybrid work environments. We value the unique backgrounds and abilities of our team members, recognizing the diverse experiences that contribute to our collective success. If you require any accommodations during the application process, please contact resume@newrelic.com. To learn more about our Applicant Privacy Notice, please visit https://newrelic.com/termsandconditions/applicant-privacy-policy.,

As a Technical Architect at Adobe Digital Media Professional Services, you will play a crucial role in providing consulting services for Adobe Digital Media solutions. Your expertise will involve implementing Adobe applications, integrating complementary Adobe enterprise solutions, and collaborating with clients" existing IT infrastructure. Your primary responsibility will be to serve as the Adobe technical authority, possessing in-depth knowledge of the products and understanding the implications of various functions, settings, and integrations. You will provide guidance and consulting to client teams from a technical perspective, ensuring the successful implementation of proposed solutions. In this role, you will design and write well-structured, object-oriented code, collaborate with cross-functional teams to deliver new features, and interact effectively with customer team members, consultants, and managers. Your ability to implement new features, address system issues, and present proposals to customers in a clear and compelling manner will be crucial for success. To qualify for this position, you should have a Bachelor's degree in Computer Science, Software Engineering, or a related field, with a Master's degree considered a plus. Your technical skills should include proficiency in front-end and back-end technologies, experience with databases, knowledge of RESTful and GraphQL APIs, version control using Git, and familiarity with cloud computing platforms and DevOps practices. With 9-10 years of relevant work experience in Digital Transformation, you should have a consistent track record of developing full-stack applications and expertise in delivering end-to-end solutions. Your experience with Agile methodologies, project management skills, and the ability to mentor junior developers will be beneficial in this role. Furthermore, your strong communication and interpersonal skills, problem-solving attitude, adaptability to emerging technologies, and commitment to ongoing learning will be essential. Having knowledge of Adobe Experience Cloud, Adobe Document Cloud, Adobe Creative Cloud solutions, and experience with Generative AI will be advantageous. Joining Adobe will provide you with an exceptional work environment recognized globally. You will collaborate with colleagues dedicated to mutual growth through ongoing feedback. We are committed to providing reasonable accommodations for individuals with disabilities during the application process and employment. Adobe values accessibility and welcomes individuals with special needs to reach out for assistance.,

At PwC, our software and product innovation team focuses on developing cutting-edge software solutions and driving product innovation to meet clients" evolving needs. Combining technical experience with creative thinking, you will deliver innovative software products and solutions. As a software engineer at PwC, your primary focus will be on developing innovative software solutions that drive digital transformation and enhance business performance. Your knowledge will be utilized to design, code, and test cutting-edge applications that revolutionize industries and deliver exceptional user experiences. In this role, you will build meaningful client connections, manage and inspire others, and navigate complex situations to grow your personal brand and technical expertise. Anticipating the needs of your teams and clients, you will deliver high-quality results. Embracing ambiguity, you will seek clarity, ask questions, and view challenges as opportunities for growth. Key Skills and Requirements: - Respond effectively to diverse perspectives, needs, and feelings of others. - Utilize a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. - Employ critical thinking to break down complex concepts. - Understand project objectives and your role's broader impact on the overall strategy. - Develop a deeper understanding of the business context and its evolving nature. - Utilize reflection to enhance self-awareness, strengths, and address development areas. - Interpret data to derive insights and recommendations. - Uphold professional and technical standards, including the firm's code of conduct and independence requirements. As a Senior Associate in the Business Services Support Line of Service at PwC, you will be part of the AI, Technology, and Innovation team. This global team operates across PwC's Acceleration Center (AC) locations, including India. The team is dedicated to leveraging advanced technologies and techniques to design and develop robust data solutions for the Acceleration Center. Your role will involve transforming raw data into actionable insights, enabling informed decision-making, and driving business growth through innovative products and platforms. Scope of Responsibility: - Collaborate with cross-functional teams to understand business requirements and apply GenAI technologies. - Design, develop, and maintain software solutions for GenAI projects. - Implement event-driven architectures for real-time data processing and analysis. - Utilize containerization technologies for efficient deployment and scalability. - Develop and manage data lakes for storing large volumes of structured and unstructured data. - Use Python as the primary programming language for software development. - Stay updated on advancements in GenAI technologies and recommend innovative solutions. - Document software engineering processes, methodologies, and best practices. Strategic & Technical Orientation: - Proficiency in Python and software engineering best practices for AI systems is essential. - Hands-on experience in developing and deploying AI models in production environments. - Experience in designing, developing, and implementing generative AI models and algorithms. - Conduct research to stay current with advancements in generative AI, machine learning, and deep learning. - Optimize generative AI models for improved performance and scalability. - Develop and maintain AI pipelines, including data preprocessing, model training, and evaluation. Range of Impact: - Deep understanding of state-of-the-art AI architectures. - Proficient in Python and machine learning libraries like TensorFlow, PyTorch, or Keras. - Strong knowledge of data structures, algorithms, and software engineering principles. - Effective communication skills to convey technical concepts to diverse audiences. - Proactive mindset to work independently and collaboratively in a dynamic environment. - Familiarity with cloud-based platforms such as Azure or AWS.,

As a Senior Cloud AI/ML Architect, you will be responsible for collaborating with AWS Account Managers, solutions architects, and customers to define and scope AI/ML use cases. Your role will involve understanding customer business problems and assisting in implementing AI solutions, including generative AI. You will also be required to develop and deliver compelling technical demonstrations for business and technical leaders, design and architect state-of-the-art AI/ML solutions, and extract and share best practices, reference architectures, and patterns for reuse within the company. Additionally, you will prototype and validate innovative AI solutions across diverse industry verticals. About the Team: You will be part of a cross-functional team at Aivar that helps AWS customers accelerate the use of AI/ML, Generative AI, and realize transformational business opportunities. The team comprises ML scientists, engineers, architects, and strategists who work with customers step-by-step to build bespoke solutions. Preferred Technical Qualifications: - 10+ years of design, implementation, or consulting experience in applications and infrastructure - Experience using managed AI/ML services and solutions - Strong knowledge of Serverless, Analytics, Database, and AI/ML AWS services - Strong experience in applying machine learning models for business application - Strong programming skills in Python, TypeScript, Java, or related language - Strong understanding of AI/ML frameworks - Demonstrated track record of learning emerging AI/ML and Generative AI technologies - Experience working across varied business environments - Experience conveying complex subject matter to customers and stakeholders in written and verbal formats - Deep understanding of generative AI technologies and large language models - Portfolio showcasing innovative AI/ML solutions Preferred Soft Skills: - Collaboration Skills: Ability to work effectively with diverse teams - Exceptional Communication: Skilled at conveying complex AI/ML concepts to technical and non-technical stakeholders - Innovative Problem-Solving: Ability to tackle unique challenges with innovative AI/ML solutions - Adaptability and Continuous Learning: Capacity to learn and apply emerging AI/ML technologies - Leadership and Mentorship: Experience mentoring team members and fostering a culture of innovation and excellence Certifications: - AWS Certified Solutions Architect Associate - AWS Certified Solutions Architect Professional - AWS Certified Developer Associate (optional) - AWS Certified Machine Learning Specialty - AWS Certified Data Analytics Specialty - AWS Certified AI Practitioner (optional but valuable) - AWS Certified Database Specialty (optional but valuable) - AWS Certified Security Specialty (optional but valuable) This is a full-time position with benefits including health insurance and paid sick time. The work location is in person.,

We are looking for a skilled and motivated Data Scientist with a strong background in backend development and AI/ML engineering. The ideal candidate should have experience in constructing, deploying, and expanding machine learning solutions using Python and modern ML frameworks. Responsibilities: - Develop and implement machine learning models, including advanced architectures like Large Language Models (LLMs). - Collaborate with various teams to create scalable AI-driven solutions using sound software engineering principles. - Utilize Python and object-oriented programming to build efficient, maintainable, and production-grade ML pipelines. - Work with popular ML frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development and testing. - Integrate AI/ML models into applications via RESTful APIs while ensuring performance, scalability, and reliability. - Use tools like Hugging Face, LangChain, and OpenAI APIs for NLP and generative AI model development. - Manage containerized services using Docker for seamless deployment and reproducibility of ML solutions. - Follow best practices in version control (Git) and software development lifecycles to support collaborative and agile workflows. - Develop and maintain relational databases (e.g., MySQL, PostgreSQL, Oracle) to support data-driven applications. - Contribute to microservices-based architectures for AI/ML systems. - Apply agent communication protocols and multi-agent system design in relevant AI applications. - Analyze large datasets, extract actionable insights, and continuously improve models. Required Skills and Qualifications: - Minimum 4 years of experience in data science, machine learning, or backend development. - Proficiency in Python and solid foundations in object-oriented programming. - Hands-on experience with the entire machine learning model lifecycle, from training to production deployment and monitoring. - Understanding of scalable system design and microservices architecture. - Strong problem-solving skills, attention to detail, and knowledge of data structures and algorithms. - Excellent communication and collaboration abilities, with a knack for working in a dynamic team setting. Preferred Qualifications: - Expertise in Generative AI, particularly with Large Language Models (LLMs) like GPT and LLaMA. - Proficiency in prompt engineering, fine-tuning LLMs, and evaluating AI model performance. - Familiarity with AI system architecture, including orchestration frameworks and agent-based designs. - Experience with advanced AI tools, platforms, and APIs for scalable systems. - Strong communication skills and proven track record of effective collaboration in cross-disciplinary teams. - Knowledge of ethical AI principles, including model interpretability, fairness, responsible AI deployment, and ongoing monitoring.,

The AI Presales Consultant is responsible for bridging the gap between technical expertise in Artificial Intelligence (AI) and the business requirements of international prospects. You will engage directly with clients to identify industry-specific use cases for Generative AI, design tailored solutions, collaborate with AI engineering teams, and develop compelling proposals that clearly articulate business value and technical feasibility. Your key responsibilities will include conducting industry-specific research to identify relevant AI and Generative AI use cases, assessing and differentiating between viable solutions, collaborating with AI Engineers to design tailored AI solutions, developing detailed user flows and solution architecture documents, leading client-facing demonstrations and proof-of-concept presentations, and maintaining strong client relationships. To qualify for this role, you should have a Bachelor's Degree in Computer Science, Engineering, IT, or related field, with advanced degrees preferred. You should have at least 7 years of experience in AI presales, solutions consulting, or business analysis roles. Demonstrable understanding of core AI and Generative AI concepts, experience in creating technical proposals, excellent communication and presentation skills, and the ability to manage multiple client engagements concurrently are essential qualifications. Preferred attributes include experience working with global clients, a self-motivated approach to learning emerging technologies, strong organizational skills, and familiarity with AI tools and cloud platforms. If you have a passion for innovation and possess the required technical expertise and business acumen, this role offers an exciting opportunity to drive strategic business enablement through AI solutions.,

As a participant in the Siemens Energy Graduate Program, you will have the opportunity to kickstart your career and develop into a future leader and innovator. This global program is designed to provide mentorship, hands-on experience, and training to facilitate your professional growth and expand your network within the industry. From day one, you will be involved in meaningful assignments that will deepen your understanding of Siemens Energy platforms and services utilized globally. Working closely with a dedicated mentor, you will have the chance to explore various roles, establish valuable connections, and access resources to support your career advancement. Joining a dynamic and motivated team, you will be at the forefront of tackling challenges and transforming them into opportunities, thereby making a tangible impact every day. As a member of the Siemens Energy Graduate Program, you will contribute to the company's mission of energizing society by assisting customers in their transition towards a more sustainable world. You will tackle real global issues and devise solutions that directly influence positive change. Key responsibilities will include designing solutions using Python or Java, demonstrating attention to detail, and applying analytical skills to drive decision-making processes. An openness to learning and adopting SAP Enterprise Resource Planning platform-based technologies will be crucial for success in this role. Your duties will encompass participating in portfolio architecture designs, steering technology direction within a portfolio of applications aligned with business objectives, and optimizing applications and technologies within specific business domains. Moreover, you will play a role in exploring and implementing AI and Generative AI technologies to enhance business processes. This will involve contributing to the development of AI models and algorithms for data analysis and predictive analytics. To excel in this position, you should bring expertise in collaborating with the global ERP team to design and develop solutions, a strong grasp of business processes, the ability to perform technological maturity assessments, and experience in defining technological roadmaps in various environments. Additionally, proficiency in AI and generative AI models, coupled with hands-on implementation experience, will be highly beneficial. The ideal candidate will possess practical work experience of 3+ months, including internships, working student activities, or employment, and hold a master's degree or equivalent experience in computer science/information technologies. Excellent English language skills, flexibility, mobility, and the ability to effectively collaborate within a diverse, multi-disciplinary team are essential qualities. Siemens Energy is a global company with a commitment to driving the energy transition and ensuring reliable and sustainable energy solutions are available to meet the world's growing energy demand. With a focus on decarbonization, new technologies, and energy transformation, we are dedicated to making a difference in the global energy landscape. Join us at Siemens Energy and be part of a team that celebrates diversity, inclusion, and innovation. We believe in generating power through our differences and welcome individuals from all backgrounds, regardless of ethnicity, gender, age, religion, identity, or disability. Our inclusive culture energizes society as we work towards a sustainable and equitable future for all. As an employee of Siemens Energy, you will enjoy a range of benefits including remote working arrangements, opportunities to collaborate with a global team, involvement in innovative projects, medical benefits, paid time off, parental leave, and access to continual learning resources through the Learn@Siemens-Energy platform. Discover how you can contribute to the energy transition at Siemens Energy by visiting: [Siemens Energy Careers](https://www.siemens-energy.com/employeevideo),

NTT DATA is looking for a Mid Data Science & AIML, GenAI Lead/Engineer to join their team in Hyderabad, Telangana (IN-TG), India. As a part of this inclusive and forward-thinking organization, you will be responsible for developing and implementing traditional machine learning algorithms. One of the key duties includes deploying at least one model in a production environment. You will also be required to write and maintain Python code for data science and machine learning projects. The ideal candidate should have knowledge of Deep Learning (DL) techniques, experience working with Generative AI (GenAI) and Large Language Models (LLM), and exposure to Langchain. This role offers the opportunity to work with cutting-edge technologies and be a part of a global innovator in business and technology services. NTT DATA is a trusted global company with a commitment to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries and a robust partner ecosystem. Their 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. NTT DATA is a leading provider of digital and AI infrastructure globally and is part of the NTT Group, investing over $3.6 billion each year in R&D to support organizations and society in moving confidently into the digital future. For more information, visit us at us.nttdata.com.,

As a Senior Developer/ Lead in Data Science at Material+, you will be responsible for leading the development and implementation of Generative AI models such as Azure OpenAI GPT and multi-agent system architecture. Your role will require a strong background in Python and AI/ML libraries like TensorFlow, PyTorch, and Scikit-learn. Experience with frameworks like LangChain, AutoGen, or similar for multi-agent systems will be essential, along with expertise in data preprocessing, feature engineering, and model evaluation techniques. It is preferred that you have a minimum of 4+ years of experience in a similar role as a Senior Developer/ Lead in Data Science. The ideal candidate should be well-versed in Big Data tools such as Spark, Hadoop, Databricks, and databases like SQL and NoSQL. Familiarity with ReactJS for developing responsive and interactive user interfaces would be a bonus. Material+ is looking for an immediate joiner located in Gurgaon or Bangalore. In addition to a challenging work environment, we offer professional development opportunities, mentorship, and a hybrid work mode with a remote-friendly workplace. We are committed to the well-being of our employees and provide benefits such as health and family insurance, ample leave days including maternity and paternity leaves, as well as wellness, meditation, and counseling sessions. Join us at Material+ where you can contribute to cutting-edge projects in Data Science while enjoying a supportive and inclusive work culture.,

At Improzo, we are dedicated to improving life by empowering our customers through quality-led commercial analytical solutions. Our team of experts in commercial data, technology, and operations collaborates to shape the future with leading Life Sciences clients and carefully chosen peers. People are at the heart of our success, and we uphold our CARE values framework, prioritizing customer needs, pursuing innovation, fostering respect, and maintaining a focus on quality-led execution. As a Data Scientist in Pune at Improzo, your role involves driving insights for pharma clients using advanced ML, Gen AI, and LLMs on complex healthcare data. You will be optimizing Pharma commercial strategies and improving patient outcomes through various analytical techniques. Your responsibilities will include engaging with client stakeholders to understand challenges and strategic objectives, exploring and preparing complex datasets from various sources, developing statistical models and machine learning algorithms, analyzing promotional effectiveness and patient adherence, utilizing generative AI and LLM solutions, transforming analytical findings into actionable recommendations, collaborating with cross-functional teams, and supporting the entire data science lifecycle. To qualify for this role, you should have a Master's or Ph.D. in a related quantitative field, at least 4 years of experience as a Data Scientist, a solid understanding of pharmaceutical commercial operations, experience with real-world patient data and patient journeys, strong programming skills in Python and/or R, expertise in SQL and data visualization tools, familiarity with cloud platforms and big data technologies, knowledge of NLP techniques and LLMs, experience with MLOps practices and tools, and an understanding of industry regulations and compliance requirements. Additionally, excellent communication, presentation, interpersonal skills, attention to detail, client centricity, ability to work independently and as part of a team, and strong leadership skills are essential. Join us at Improzo for a competitive salary and benefits package, the opportunity to work on cutting-edge Analytics projects, a collaborative work environment, and professional development opportunities. If you are passionate about data manipulation, analytics, generative AI, commercial pharma, MLOps, and have the necessary skills and experience, we look forward to having you on our team.,

As an Associate Solution Engineer at BMC Helix, you will have the opportunity to work at the intersection of enterprise technology and customer value. You will be joining a diverse and inclusive work environment where trust is not just a word, but a way of life. At BMC, giving back to the community and striving for innovation are key drivers that inspire us to be better each day. As part of the Digital Solution Engineering team, you will collaborate with global, regional, and internal teams to support customer engagements through solution design and tailored presentations. You will participate in customer discovery sessions to understand technical requirements and business goals, delivering value-driven demonstrations showcasing BMC Helix capabilities such as Agentic AI and intelligent automation. Your role will involve engaging with product, sales, and strategy teams to align solutions with evolving customer needs and staying current on trends in GenAI, ITSM, ITOM, AIOps, and enterprise digital transformation. To excel in this role, you should possess a Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, along with at least 3 years of experience in a technical, consulting, or customer-facing role. Strong communication and presentation skills, as well as an interest in Generative AI and cloud technologies, are essential. Additionally, familiarity with platforms like BMC Helix, ServiceNow, or Jira Service Management, as well as basic scripting or API knowledge, will be beneficial. At BMC, we value diversity and encourage individuals from various backgrounds to apply. We believe in transparency and fair compensation practices, offering a competitive salary along with country-specific benefits. If you have taken a career break and are looking to re-enter the workforce, BMC welcomes candidates who are excited about joining our team. Visit our website to learn more about our Returnship program and how to apply. Join us at BMC, where your individuality is celebrated, and your contributions are valued. Apply now and become a part of our dynamic and innovative team dedicated to driving digital transformation for global enterprises.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate should have a strong background in AI/ML analytics and a passion for utilizing data to drive business insights and innovation. Your main responsibilities will include developing and implementing machine learning models and algorithms, collaborating with project stakeholders to understand requirements and deliverables, analyzing and interpreting complex data sets using statistical and machine learning techniques, staying updated with the latest advancements in AI/ML technologies, and supporting various AI/ML initiatives by working with cross-functional teams. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, along with a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, expertise in cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), building secure data ingestion pipelines for unstructured data, proficiency in Python, TypeScript, NodeJS, ReactJS, data visualization tools, deep learning frameworks, version control systems, and Generative AI/LLM based development is desired. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer, valuing cross-cultural insight and competence for ongoing success, with a belief that a diverse workforce enhances perspectives and ideas for continuous improvement.,

Are you passionate about the intersection of data, technology, and science, and excited by the potential of Real-World Data (RWD) and AI Do you thrive in collaborative environments and aspire to contribute to the discovery of groundbreaking medical insights If so, join the data42 team at Novartis! At Novartis, we reimagine medicine by leveraging state-of-the-art analytics and our extensive internal and external data resources. Our data42 platform grants access to high-quality, multi-modal preclinical and clinical data, along with RWD, creating the optimal environment for developing advanced AI/ML models and generating health insights. Our global team of data scientists and engineers utilizes this platform to uncover novel insights and guide drug development decisions. As an RWD SME / RWE Execution Data Scientist, you will focus on executing innovative methodologies and AI models to mine RWD on the data42 platform. You will be the go-to authority for leveraging diverse RWD modalities patterns crucial to understanding patient populations, biomarkers, and drug targets, accelerating the development of life-changing medicines. Duties and Responsibilities: - Collaborate with R&D stakeholders to co-create and implement innovative, repeatable, scalable, and automated data and technology solutions in line with data42 strategy. - Be a data Subject Matter Expert (SME), understand Real World Data (RWD) of different modalities, vocabularies (LOINC, ICD, HCPCS, etc.), non-traditional RWD (Patient reported outcomes, Wearables and Mobile Health Data) and where and how they can be used, including in conjunction with clinical data, omics data, pre-clinical data, and commercial data. - Contribute to data strategy implementation such as Federated Learning, tokenization, data quality frameworks, regulatory requirements (submission data to HL7 FHIR formats conversion, Sentinel initiative), conversion to common data models and standards (OMOP, FHIR, SEND, etc.), FAIR principles, and integration with enterprise catalog. - Define and execute advanced integrated and scalable analytical approaches and research methodologies (including industry trends) in support of exploratory and regulatory use of AI models for RWD analysis across the Research Development Commercial continuum by facilitating research questions. - Stay current with emerging applications and trends, driving the development of advanced analytic capabilities for data42 across the Real-world evidence generation lifecycle, from ideation to study design and execution. - Demonstrate high agility working across various cross-located and cross-functional associates across business domains (commercial, Development, Biomedical Research) or Therapeutic area divisions for our priority disease areas to execute complex and critical business problems with quantified business impact/ROI. Ideal Candidate Profile: - PhD or MSc. in a quantitative discipline (e.g., but not restricted to Computer Science, Physics, Statistics, Epidemiology) with proven expertise in artificial Intelligence / Machine Learning. - 8+ years of relevant experience in Data Science (or 4+ years post-qualification in case of PhD). - Extensive experience in Statistical and Machine Learning techniques: Regression, Classification, Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining, and Natural Language Processing, LLMs, and multi-modal Generative AI. - Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Optimization techniques including, Dynamic Programming Deep Learning techniques on structured and unstructured data, Recommender Systems. - Proficiency in tools and packages: Python, R(optional), SQL; exposure to dashboard or web-app building using PowerBI, R-Shiny, Flask, open source or proprietary software and packages is an advantage. - Knowledge in data standards e.g. OHDSI OMOP, and other data standards, FHIR HL7 for regulatory, and best practices. - Good to have: Foundry, big data programming, working knowledge of executing data science on AWS, DataBricks, or SnowFlake. - Strong in Matrix collaboration environments with good communication and collaboration skills with country/ regional/ global stakeholders in an individual contributor capacity. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. 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 Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up. Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally.,

You will be joining NTT DATA as a Digital Engineering Lead Engineer based in Pune, Maharashtra (IN-MH), India. In this role, you will be responsible for ideating and developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Utilizing your statistical skills and advanced statistical techniques, you will apply your expertise in ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. It is essential to have a deep understanding of Python open-source software stack, including Django or Flask, Django Rest or FastAPI. Your knowledge in statistics, Machine Learning models, deep learning models, NLP, GAN, and other generative models will be leveraged in this role. Experience with RAG technologies, LLM frameworks, model registries, embedding models, and vector databases is required. You will be expected to demonstrate proficiency in programming languages such as Python and have a strong understanding of various Python packages, along with experience in TensorFlow, PyTorch, or Keras. Collaborating with cross-functional teams, you will develop and implement GenAI solutions, supporting the successful execution of AI projects for various clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. Working on RAG models to enhance AI solutions and maintaining data infrastructure for actionable insights will be part of your responsibilities. Your role will involve collaborating with data science teams, understanding customer requirements, and delivering customized AI solutions. Preferred qualifications include experience in Private AI and Smart Agent Solutions. You should have a minimum of 2+ years of experience architecting high-impact GenAI solutions and 5+ years of experience in projects related to predictive analytics, data design, generative AI, AI/ML, and ML Ops. A Bachelor's Degree is required for this position, along with 3+ years of experience using Python. The ability to travel at least 25% of the time is also necessary. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA provides services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is dedicated to helping clients innovate, optimize, and transform for long-term success, with a commitment to moving confidently and sustainably into the digital future.,

As an AI Engineer (Generative AI / Agentic AI) at Roboyo, you will be responsible for developing AI solutions using Generative AI models such as LLMs and agent-based frameworks. Your role will revolve around leveraging your strong Python skills and cloud technology experience in Azure, AWS, and GCP to build intelligent applications like chatbots and AI agents. This position will involve working on both client projects and internal prototypes, fostering collaboration with solution architects, data engineers, and active participation in agile development cycles. Your key responsibilities will include designing and testing AI-driven applications, deploying models and AI solutions on cloud platforms to ensure scalability, collaborating with the team to align AI solutions with client needs, and contributing to Roboyo's internal AI prototypes and knowledge sharing initiatives. The ideal candidate will have 3-6 years of software development experience with a focus on AI/ML, strong Python skills, and proficiency in AI libraries like TensorFlow and PyTorch. Experience in deploying AI solutions on cloud platforms and knowledge of Generative AI models such as LLMs and GPT will be essential. Additionally, good data handling and integration skills are required. Preferred qualifications include exposure to automation platforms like UiPath and Power Platform, familiarity with web development, APIs, or conversational AI tools such as Rasa and Microsoft Bot Framework. AI certifications will be considered a plus. Join our dynamic and ambitious team at Roboyo, where you will experience a fun and innovative work environment with a group of passionate individuals dedicated to pushing the boundaries of technology and automation. By applying for this role, you consent to the processing of your personal data for recruitment purposes in accordance with our Privacy Policy.,

As a Senior/Lead Data Scientist at our organization, you will be a crucial member of our AI/ML team, bringing your expertise in Machine Learning and Deep Learning to design, develop, and deploy AI/ML models for Computer Vision and Generative AI (GenAI) use cases. With a minimum of 4 years of hands-on experience, you will leverage your skills in Computer Vision tasks such as object detection, image segmentation, and OCR, along with a strong programming background in Python and frameworks like PyTorch, TensorFlow, OpenCV, and Transformers. Your responsibilities will include collaborating with product and engineering teams to integrate models into scalable pipelines and applications, managing the complete ML lifecycle using MLOps practices, analyzing large-scale datasets, and preparing them for model training and validation. Additionally, you will work with Azure Machine Learning Services for training, inference, and model management, ensuring high-quality, production-grade ML code and documentation of technical designs and decision-making processes. To excel in this role, you should have a good understanding of MLOps concepts, model deployment, and lifecycle management, as well as experience with cloud platforms, preferably Azure ML, for scalable model training and deployment. Your familiarity with data labeling tools, synthetic data generation, and model interpretability will be valuable assets in this position. Strong problem-solving, debugging, and communication skills are essential for effectively collaborating with cross-functional teams. While not mandatory, experience with NLP, multimodal learning, or 3D computer vision, as well as familiarity with containerization tools like Docker and Kubernetes, would be beneficial. Exposure to building end-to-end ML pipelines using tools like MLflow or DVC, and working in agile development environments, will also be advantageous. If you possess a Bachelors or Masters degree in Computer Science, Electrical Engineering, Data Science, or a related field, and are looking to contribute your expertise to a dynamic team focused on leveraging AI/ML technologies to drive growth and innovation, we encourage you to apply for this exciting opportunity.,

You are a seasoned Staff Data Scientist with over 8 years of experience in Data Science/ML, specializing in Generative AI, Large Language Models (LLMs), and deep learning. Your role at PhysicsWallah involves leading and driving innovation in Generative AI, LLMs, Retrieval-Augmented Generation (RAG), Reinforcement Learning, and model fine-tuning. You will collaborate closely with cross-functional teams to create next-gen AI solutions that enhance content generation, adaptive learning, and personalized experiences for millions of learners. As a Staff Data Scientist at PhysicsWallah, your key responsibilities include designing and developing advanced AI/ML solutions using LLMs, RAG, and RL techniques, fine-tuning and customizing models for PW-specific education scenarios, building scalable pipelines for training and deployment of GenAI models, integrating models into real-world applications, conducting experiments and testing to enhance model performance, staying updated on GenAI trends to influence internal strategies, and mentoring junior data scientists while promoting best practices within the AI team. You should possess expertise in Retrieval-Augmented Generation (RAG) architectures, transforming transformer-based models like BERT, GPT, LLaMA, and Mistral, hands-on experience in Reinforcement Learning with a focus on RLHF or similar approaches, proficiency in Python and ML frameworks such as PyTorch, TensorFlow, HuggingFace, LangChain, and Ray, strong knowledge of cloud platforms like AWS/GCP and MLOps for scalable AI model deployment, a track record of deploying ML models in production environments, excellent communication skills, and the ability to work in cross-functional environments. Preferred qualifications for this role include published papers, patents, or contributions to open-source GenAI projects, experience in edtech or adaptive learning platforms, and exposure to vector databases like FAISS, Pinecone, and Weaviate, as well as semantic search systems. Join PhysicsWallah and be part of a mission-driven organization that aims to make quality education accessible to all. You will have the opportunity to work on cutting-edge GenAI challenges with significant real-world impact in a collaborative and fast-paced environment that offers immense learning opportunities. Shape the future of education with GenAI at PhysicsWallah by applying now.,

As an AI Tools & Techniques Trainer, you will have the exciting opportunity to lead digital transformation within our organization. Your role involves conducting hands-on training and workshops to educate various departments on leveraging the latest advancements in artificial intelligence and automation platforms. By customizing sessions based on departmental functions such as Marketing, Sales, HR, Finance, CRM, Project Management, and Customer Support, you will bridge the gap between cutting-edge technology and practical business applications. Your responsibilities include staying updated on the latest AI trends, creating learning materials, and guiding teams to identify automation opportunities and AI-powered efficiencies. You will collaborate with different teams to track progress, offer mentoring when necessary, and develop a framework for ongoing upskilling and digital enablement. The ideal candidate for this role possesses a strong passion for AI, automation, and emerging technology, along with prior experience in training professionals or conducting workshops. Practical knowledge of AI tools, excellent communication skills, and the ability to simplify technical concepts for non-technical users are essential. Additionally, being self-driven, proactive, and having exposure to corporate functions and workflows would be advantageous. Preferred skills include certifications in AI, data science, or instructional design, experience with corporate learning platforms and LMS tools, and a background in business consulting or digital transformation initiatives. By joining us, you will have the opportunity to lead digital change, be at the forefront of AI-driven transformation, and work in a collaborative environment that encourages learning and experimentation.,

You are a dynamic and hands-on Full Stack AI Developer with expertise in Python programming, Generative AI, LLMs, API development, and front-end frameworks like React and Streamlit. Your responsibility includes designing, developing, and maintaining AI-powered full stack applications, building and optimizing REST APIs, creating backend services, implementing Generative AI features, developing front-ends, integrating retrieval-augmented generation (RAG) and agentic AI concepts, applying best practices in software engineering, and working with cloud platforms. You must have proficiency in Core Python Development, scientific & data libraries like NumPy and Pandas, database integration, API development, Generative AI/LLMs, deployment & containerization using Docker, frontend development with HTML5, CSS3, modern JavaScript, Streamlit, and React.js. Desirable skills include experience with cloud services, monitoring and logging for AI systems, testing frameworks, PDF extraction, OCR tools, frontend accessibility, and performance optimization. Your soft skills should include strong communication and documentation skills, problem-solving mindset, and the ability to collaborate across cross-functional teams. An educational qualification of Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field is required, and certifications or hands-on experience in Generative AI/LLMs are a plus. This role is ideal for candidates passionate about developing end-to-end AI applications from data ingestion and model integration to real-time deployment and UI/UX delivery. You will work on real-world GenAI products using LLMs, APIs, Vector Databases, and modern front-end stacks in a production-ready setup.,

As a Senior Data Scientist specializing in Generative AI at our organization, you will play a crucial role in driving technical innovation and delivering impactful results within a team setting. You will be responsible for working with financial data, applying NLP techniques, refining prompt engineering strategies for LLMs, collaborating with stakeholders, developing and testing Python code for GenAI solutions, integrating with vector databases, monitoring MLOps pipelines, researching emerging GenAI technologies, and troubleshooting and debugging GenAI models in production. To excel in this role, you must possess a Master's degree in Computer Science, Data Science, or a related field, with a Ph.D. being preferred. You should have 8-12 years of experience in a Data Scientist or equivalent role, with at least 4 years of specialized experience in Generative AI. Additionally, you should have demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation. You must stay up-to-date with the rapidly evolving GenAI landscape, continuously learn and explore new tools and techniques, and effectively communicate technical concepts to non-technical stakeholders. Proficiency in Python, along with expertise in key libraries for AI/ML and GenAI applications such as TensorFlow, PyTorch, and Transformers, is mandatory. Experience in designing and implementing scalable API architectures for GenAI applications, along with a deep understanding of Machine Learning concepts, is essential. Preferred qualifications for this role include experience with MLOps, cloud computing platforms, conversational AI solutions, and contributions to research and publications in the field of Generative AI. As a Senior Data Scientist, you will be expected to demonstrate strong technical leadership and mentorship skills, as well as excellent communication and collaboration abilities. This job description provides a comprehensive overview of the responsibilities and qualifications required for the Senior Data Scientist position. If you are a highly motivated individual with a strong passion for Generative AI and possess the necessary technical skills and experience, we encourage you to apply for this role.,

Deputy Manager - Generative AI About VOIS VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Groups partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VOIS has evolved into a global, multi-functional organization, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. VOIS India In 2009, VOIS started operating in India and now has established global delivery centers in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VOIS India supports global markets and group functions of Vodafone and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Mode: Hybrid Location: Bangalore / Pune Experience 5 to 8 years Core Competencies, Knowledge and Experience: Minimum experience of 4 years in data science. • Excellent communication & presentation skills with track record of engaging with business project leads • Flexibility and problem solving • Previous experience in Telecom would be a distinct advantage • Graduate from tier-1 or tier-2 college preferred with good academic record Must have technical / professional qualifications: Hands on experience in Analytical tools like Python with through knowledge of various machine learning, analytical & statistical techniques o Expert in Python • Hands on experience in NLP and Generative AI tools and large language models (LLMs) like gemini, PALM, open source LLMs, transformers. • Good to have Cloud GCP/AWS or Big Data technologies (e.g. Hadoop, Hive, Pig, etc.) • Need to be worked on minimum 3 modelling projects till now in different areas: o Predictive Modelling Mandatory kin actual business projects with monetary impact • Exceptional data manipulation and analysis techniques; comfortable using very large (>10s millions rows) datasets, containing both structured and unstructured data • Machine Learning, Deep Learning, Clustering & Segmentation, Binary & Multi-Class Classification, ML Forecasting & Regression Models • Good stability in employments and from reputed tier-1 employers in past. Key accountabilities and decision ownership: Support build & deployment of analytical solutions (models, hypothesis, analyses & scenarios) across the spectrum of analytical maturity - descriptive, inferential, predictive & prescriptive • Leverage previously created data models, insights and analyses from across the Vodafone business to drive positive business outcomes • Drive efficiencies in how analytical services are delivered, through automation and standardisation of analytical delivery VOIS Equal Opportunity Employer Commitment VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 5 Best Workplaces for Diversity, Equity, and Inclusion, Top 10 Best Workplaces for Women, Top 25 Best Workplaces in IT & IT-BPM and 14th Overall Best Workplaces in India by the Great Place to Work Institute in 2023. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch!

Assistant Manager - Generative AI About VOIS VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Groups partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VOIS has evolved into a global, multi-functional organization, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. VOIS India In 2009, VOIS started operating in India and now has established global delivery centers in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VOIS India supports global markets and group functions of Vodafone and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Mode: Hybrid Location: Bangalore / Pune Experience 2 to 5 years Core Competencies, Knowledge and Experience: Minimum experience of 4 years in data science. • Excellent communication & presentation skills with track record of engaging with business project leads • Flexibility and problem solving • Previous experience in Telecom would be a distinct advantage • Graduate from tier-1 or tier-2 college preferred with good academic record Must have technical / professional qualifications: Hands on experience in Analytical tools like Python with through knowledge of various machine learning, analytical & statistical techniques o Expert in Python • Hands on experience in NLP and Generative AI tools and large language models (LLMs) like gemini, PALM, open source LLMs, transformers. • Good to have Cloud GCP/AWS or Big Data technologies (e.g. Hadoop, Hive, Pig, etc.) • Need to be worked on minimum 3 modelling projects till now in different areas: o Predictive Modelling Mandatory kin actual business projects with monetary impact • Exceptional data manipulation and analysis techniques; comfortable using very large (>10’s millions rows) datasets, containing both structured and unstructured data • Machine Learning, Deep Learning, Clustering & Segmentation, Binary & Multi-Class Classification, ML Forecasting & Regression Models • Good stability in employments and from reputed tier-1 employers in past. Key accountabilities and decision ownership: Support build & deployment of analytical solutions (models, hypothesis, analyses & scenarios) across the spectrum of analytical maturity - descriptive, inferential, predictive & prescriptive • Leverage previously created data models, insights and analyses from across the Vodafone business to drive positive business outcomes • Drive efficiencies in how analytical services are delivered, through automation and standardisation of analytical delivery VOIS Equal Opportunity Employer Commitment VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 5 Best Workplaces for Diversity, Equity, and Inclusion, Top 10 Best Workplaces for Women, Top 25 Best Workplaces in IT & IT-BPM and 14th Overall Best Workplaces in India by the Great Place to Work Institute in 2023. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch!

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities . Collaborate with cross-functional teams to identify , analyze , and interpret complex datasets to develop actionable insights and drive data-driven decision-making. . Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. . Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. . Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. . Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. . Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Assistant Vice President (AVP), Google Cloud Platform Pre-Sales Solution Architect - Data & AI About Genpact: Genpact (NYSE: G) is a global professional services firm delivering outcomes that transform businesses. With a proud 25-year history and over 125,000 diverse professionals in 30+ countries, we are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for our clients. We serve leading global enterprises, including the Fortune Global 500, leveraging our deep industry expertise, digital innovation, and cutting-edge capabilities in data, technology, and AI. Join our team to shape the future of business through intelligent operations and drive meaningful impact. The Opportunity: Genpact is seeking a highly accomplished and visionary Assistant Vice President (AVP), Google Cloud Platform Pre-Sales Solution Architect, specializing in Data and Artificial Intelligence. This pivotal role will be instrumental in driving Genpact%27s growth in the GCP ecosystem by leading complex pre-sales engagements, designing transformative data and AI solutions, and fostering executive-level client relationships. You will operate at the intersection of business strategy and cutting-edge technology, translating intricate client challenges into compelling, implementable solutions on Google Cloud. Responsibilities: . Executive Solutioning & Strategy: Lead the end-to-end technical pre-sales cycle for Genpact%27s most strategic data and AI opportunities on GCP. Engage at the CXO level and with senior business and IT stakeholders to deeply understand their strategic objectives, pain points, and competitive landscape. . Architectural Leadership: Design and articulate highly scalable, secure, and resilient enterprise-grade data and AI architectures on Google Cloud Platform. This includes expertise in BigQuery, Dataflow, Dataproc, Vertex AI (MLOps, Generative AI), Cloud AI services, Looker, Pub/Sub, Cloud Storage, Data Catalog, and other relevant GCP services. . Value Proposition & Storytelling: Develop and deliver highly impactful presentations, workshops, and proof-of-concepts (POCs) that clearly demonstrate the business value and ROI of Genpact%27s data and AI solutions on GCP. Craft compelling narratives that resonate with both technical and non-technical audiences. . Deal Ownership & Closure: Work collaboratively with sales teams to own the technical solutioning and commercial structuring of deals from qualification to closure. Lead the estimation, negotiation, and transition of deals to the delivery organization, ensuring alignment and seamless execution. . Technical Deep Dive & Expertise: Provide deep technical expertise on Google Cloud%27s Data & AI portfolio, staying at the forefront of new service offerings, product roadmaps, and competitive differentiators. Act as the subject matter expert in client discussions and internal enablement. . Cross-Functional Collaboration: Partner effectively with Genpact%27s sales, delivery, product development, and industry vertical teams to ensure that proposed solutions are innovative, deliverable, and aligned with market demands and Genpact%27s capabilities. . Thought Leadership: Contribute to Genpact%27s market presence and intellectual property through whitepapers, conference presentations, industry events, and client advisory sessions. Position Genpact as a leader in data-driven transformation on GCP. . Team Mentorship & Enablement: Provide mentorship and technical guidance to junior pre-sales architects and delivery teams, fostering a culture of continuous learning and excellence in GCP Data & AI. Qualifications we seek in you! Minimum Qualifications . progressive experience in data, analytics, artificial intelligence, and cloud technologies, with a strong focus on technical pre-sales, solution architecture, or consulting leadership roles. . hands-on experience architecting, designing, and delivering complex data and AI solutions on Google Cloud Platform. . Deep and demonstrable expertise across the Google Cloud Data & AI stack: o Core Data Services: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Cloud SQL, Cloud Spanner, Composer, Data Catalog, Dataplex. o AI/ML Services: Vertex AI (including MLOps, Workbench, Training, Prediction, Explainable AI), Generative AI offerings (e.g., Gemini, Imagen), Natural Language API, Vision AI, Speech-to-Text, Dialogflow, Recommendation AI. o BI & Visualization: Looker, Data Studio. . Proven track record of successfully leading and closing multi-million dollar deals involving complex data and AI solutions on cloud platforms. . Exceptional executive presence with the ability to engage, influence, and build trusted relationships with C-level executives and senior stakeholders. . Strong commercial acumen and experience in structuring complex deals, including pricing models, risk assessment, and contract negotiation. . Outstanding communication, presentation, and storytelling skills, with the ability to articulate complex technical concepts into clear, concise business benefits. . Demonstrated ability to lead cross-functional teams and drive consensus in dynamic and ambiguous environments. . Bachelor%27s degree in Computer Science, Engineering, or a related technical field. Master%27s degree or MBA preferred. . Google Cloud Professional Certifications are highly preferred (e.g., Professional Cloud Architect, Professional Data Engineer, Professional Machine Learning Engineer). . Ability to travel as required to client sites and internal meetings. Why join Genpact . Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities . Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes. In this role as a Senior Machine Learning Engineer in the Digital Technology team, you will collaborate with data scientists and stakeholders to understand business requirements and translate them into machine learning solutions. This role offers a dynamic opportunity to join Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. While you will start your employment with Medtronic, upon establishment of SpinCo or the transition of the Diabetes business to another company, your employment may transfer to either SpinCo or the other company, at Medtronic's discretion and subject to any applicable information and consultation requirements in your jurisdiction. Responsibilities may include the following and other duties may be assigned: Design, develop, and implement machine learning models and algorithms to solve complex business problems. Use software design principles to develop production ready code. Collect, preprocess, and analyze large datasets to train and evaluate machine learning models. Optimize and fine-tune machine learning models for performance and accuracy. Deploy machine learning models into production environments and monitor their performance. Develop processes and tools to monitor and analyze model performance and data accuracy. Stay up to date with the latest advancements in machine learning and apply them to improve existing models and algorithms. Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows. Document and communicate machine learning solutions, methodologies, and results to technical and non-technical stakeholders. Mentor and provide guidance to junior Machine Learning Engineers. Required Knowledge and Experience: Bachelors degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics 5+ years of industry experience in writing production level, scalable code (e.g. in Python) 4+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, deep learning 4+ years of industry experience with distributed computing frameworks such as Pyspark 4+ years of industry experience with popular ml frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, HuggingFace Transformers and other libraries (like scikit-learn, spacy, genism etc.). 4+ years of industry experience with major cloud computing services like AWS or Azure or GCP 1+ years of experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, PGVector, Pinecone, Bedrock. Experience in building Agentic AI applications. 2+ years of technical leadership leading junior engineers in a product development setting.