9814 Tensorflow Jobs - Page 35

OnGrid is India's fastest growing digital trust platform that specializes in offering verifications, background checks, reference checks, employee/staff onboarding, KYC services, and issuing verified credentials. Founded by IIT-B alumni, OnGrid has successfully completed over 500+ million checks and has established partnerships with more than 3000 clients. The primary focus at OnGrid is centered around redefining and reimagining Trust by harnessing the power of technology to construct a digital trust platform. The company is committed to providing verified credentials instantly, sourced directly from the authentic channels. The fundamental pillars of trust have been laid by OnGrid, and now the company is eager to explore uncharted territories and innovative approaches that have not been ventured into before. To drive this vision forward and expand its impact, OnGrid is in search of a motivated Senior AI Engineer who possesses experience in developing high-performing, scalable, enterprise-grade applications. If you are a visionary individual who is constantly seeking the right solutions, a technology enthusiast who is dedicated to enhancing and expanding your skill set, then you are the ideal fit for OnGrid. **Key Responsibilities** - Collaborate with product and tech teams to oversee and innovate AI strategy and R&D. - Contribute to the creation of impactful AI use cases for both internal and client applications. - Develop AI/ML solutions for intricate problems while upholding ethical standards. - Engage in research within diverse fields like computer vision, NLP, Generative AI, and deep learning. - Integrate and enhance AI models within production systems using real-time data. **Required Qualifications** - Possession of a Bachelor's or Master's degree in Computer Science or a related field. - Specialization in Data Science, Machine Learning, or Artificial Intelligence is advantageous. - Minimum of 3+ years of practical experience in tackling real-world AI challenges, focusing on areas such as Computer Vision, Deep Learning, Object Detection, Natural Language Processing (NLP), Generative AI, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and AI agents. - Proficient in Python programming, with exposure to frameworks like Django and Flask; familiarity with Java is beneficial. - Knowledge of Microservices Architecture is considered a plus. - Experience with cloud platforms such as AWS, Azure, or Google Cloud is desirable. **Technical Expertise** - Vision Models: Proficiency in vision models like YOLO, ResNet, and OCR for real-time object detection, image classification, and text detection. - Generative AI & LLMs: Expertise in generative AI models and large language models (LLMs) such as Claude, LLaMA, Qwen, Mistral, etc. Experience in implementing Retrieval-Augmented Generation (RAG) and working with open-source models from platforms like Hugging Face, Robo Flow, etc. - AI Frameworks & Tools: Competence in utilizing frameworks and libraries like TensorFlow, PyTorch, LangChain (LangGraph, LangSmith), PydanticAI, OpenCV, Django, Flask, Postman, Docker, Swagger, AWS, and GCP. - Accelerated Computing: Strong understanding of GPU-accelerated training, fine-tuning, and inference, with hands-on experience on platforms like AWS, GCP, or in-house infrastructure. - Production Deployment: Expertise in deploying, fine-tuning, and scaling AI models in production environments to ensure system reliability and high availability. - Advanced AI Knowledge: In-depth comprehension of convolutional neural networks, transformer architectures, vector databases, and data preparation pipelines. Join OnGrid to be part of a dynamic and innovative team that thrives on tackling impactful challenges. Shape the future of digital trust and AI technologies in a collaborative work environment that offers opportunities for continuous learning and growth.,

We are looking for a skilled Computer Vision Engineer with a strong background in microservice deployment architecture to join our team. In this role, you will be tasked with creating and implementing computer vision models to analyze retail surveillance footage for various purposes such as theft identification, employee productivity monitoring, and store traffic analysis. Your primary responsibilities will include developing computer vision models by building, training, and optimizing deep learning models for tasks like theft detection, employee efficiency tracking, and store busy hours analysis. Additionally, you will be involved in designing and deploying scalable microservice-based solutions on cloud platforms to deliver real-time and post-event analytics for enhancing retail operations. Key responsibilities also involve developing data processing pipelines for real-time and batch video data streams, integrating computer vision services with existing retail systems, optimizing model performance, and ensuring compliance with security and privacy standards. The ideal candidate will have at least 3 years of experience in computer vision, preferably in retail or surveillance applications. Hands-on experience with microservices deployment on cloud platforms and real-time video analytics is required. Proficiency in programming languages such as Python, C++, or Java, as well as expertise in deep learning frameworks like TensorFlow, PyTorch, and Keras, is essential. Preferred qualifications include experience with edge device deployment, understanding of retail operations, and knowledge of data privacy regulations. Strong analytical, problem-solving, and communication skills are also desired. We offer a competitive salary, stock options, and health insurance. If you are enthusiastic about developing cutting-edge computer vision solutions and deploying them to revolutionize retail operations, we encourage you to apply now.,

Sizzle is an exciting new startup that is revolutionizing the gaming industry by developing AI to automate gaming highlights directly from Twitch and YouTube streams. We are currently seeking a talented engineer with expertise in computer vision and AI technologies related to image and video analysis. As a part of our team, you will be responsible for developing computer vision algorithms to identify key moments within popular online games. You will utilize foundational technologies such as TensorFlow, OpenCV, and others to build advanced models. Additionally, you will design neural network architectures specifically tailored for image and video analysis in the realm of popular games. Your role will involve specifying precise requirements for training data sets and collaborating with analysts to create these data sets. Furthermore, you will be responsible for training final models using techniques like transfer learning and data augmentation to optimize models for deployment in a production environment. Cooperation with back-end engineers will be essential to integrate all detection algorithms into production and automate the highlight creation process. The ideal candidate possesses a strong understanding of computer vision and AI frameworks and algorithms, particularly in image and video analysis. Proficiency in Python, TensorFlow, OpenCV, and other computer vision tools is required. Familiarity with common computer vision object detection models such as Inception, R-CNN, Yolo, MobileNet SSD, and others is beneficial. A demonstrated understanding of various algorithms for image and video analysis, such as CNNs and LSTM for motion and inter-frame analysis, is essential. Experience with AWS environments is preferred. A passion for working in a dynamic startup environment, a willingness to learn quickly on the job, experiment with new approaches, and deliver results are highly valued qualities. Ideally, candidates with a background in gaming or a keen interest in watching gaming content online are encouraged to apply. Key Skills: - Machine Learning - Computer Vision - Image Processing - Neural Networks - TensorFlow - OpenCV - AWS - Python Seniority Level: Open to junior or senior engineers based on skillset rather than experience level. Salary: Commensurate with experience. We welcome applications from individuals with the relevant experience, regardless of their seniority. However, applicants without AI or computer vision experience are advised not to apply.,

The S&C Global Network - AI - T&O - Human Capital Analytics Analyst role based in Kolkata, KDC1A involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. As part of the Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, the consultants provide analytically-informed, issue-based insights at scale to help clients improve outcomes and achieve high performance. The importance of sound analytical decision-making and the relationship of tasks to the overall project are key aspects of executing projects in the context of business performance improvement initiatives. In this pivotal role as a Data Science Consultant for an Advanced People Analytics practice, you will develop advanced statistical models to support HR Analytics offerings and solutions. Expertise in Python programming language, ML API integrations, SQL, Relational and Non-Relational Databases, and cutting-edge ML and Data science Skills like Deep learning, LLM, TensorFlow, Time Series Forecasting, Boosting & Bagging, Cohort and Cluster Analysis are required. Proficiency in AWS/AZURE Cloud Services and architecting effective, scalable, and easy-to-understand dashboards and reporting solutions is crucial. The role also involves being a data storyteller, producing concise, story-driven reports and presentations to communicate analytic insights. Building product-ready dashboards using Power Bi and Tableau, developing new KPIs, metrics, and deriving strategic insights, as well as excellent communication skills to translate business problems into analytic problems are key responsibilities. Strong relationships with clients, managing project teams, engaging and collaborating with diverse teams, resolving complex issues creatively, and executing regular and ad-hoc reporting on key HR metrics are part of the role. The ideal candidate should have a Master's degree in Economics/Statistics/Mathematics/Engineering or related Analytics discipline from a premier institute, with over 5 years of experience in the Analytics domain and 2-3 years in people/Human analytics or a relevant domain. Strong problem-solving skills, communication skills, leadership experience, and experience with predictive analytics, machine learning, or statistical modeling are required. Knowledge of PySpark/PyTorch framework, Data Governance, Cloud Integrations, Change Management, Big Data Technologies, Html 5/js skills, and optimization theory is appreciated. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure.,

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. Who We Are Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description What you’ll do: As a member of the Decision Support Analytics (DSA) team, you will collaborate with cross-functional teams to design, build, and manage scalable data pipelines, data warehouses, and machine learning (ML) models. Your work will involve analyzing and visualizing data, publishing dashboards or data models, and contributing to the development of web services for Engineering Technologies portals and applications. This role requires strong coding abilities, presentation skills, and expertise in big data infrastructure. The ideal candidate will have experience in end-to-end data generation processes, troubleshooting data/reporting issues, and recommending optimal data solutions. A keen attention to detail and proficiency with tools like Tableau and other data analysis platforms are essential. Collaborate with internal stakeholders to gather requirements and understand business workflows. Develop scalable data pipelines and ensure high-quality data flow and integrity. Use advanced coding skills in languages such as SQL, Python, Java, or Scala to address business needs. Leverage statistical methods to analyze data, generate actionable insights, and produce business reports. Design meaningful visualizations using tools like Tableau, Power BI, or similar platforms for effective communication with stakeholders. Implement or upgrade data analysis tools and assist in strategic decisions regarding new systems. Build frameworks and automation tools to streamline data consumption and understanding. Train end-users on new dashboards, reports, or tools. Provide hands-on support for internal customers across various teams. Ensure compliance with data governance policies and security standards. What You Need To Bring Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven track record of working with large datasets in fast-paced environments. Strong problem-solving skills with the ability to adapt to evolving technologies. Typically 8+ years experience. Data Engineering Tools & Frameworks ETL tools such as Wherescape, Apache Airflow, or Azure Data Factory. Big Data technologies like Hadoop, Apache Spark, or Kafka. Cloud Platforms Proficiency in cloud services such as AWS, Azure, or Google Cloud Platform for storage, computing, and analytics. Databases Experience with both relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). Data Modeling & Architecture Expertise in designing schemas for analytical use cases and optimizing storage mechanisms. Machine Learning & Automation Familiarity with ML frameworks (e.g., TensorFlow, PyTorch) for building predictive models. Scripting & Automation Advanced scripting for automation using Python/Scala/Java. APIs & Web Services Building RESTful APIs for seamless integration with internal/external systems. Additional Skills Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX) What We Can Offer You Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #networking Job Engineering Job Level TCP_03 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

About The Role Grade Level (for internal use): 11 The Role: Foreseer AI – Lead The Team: The Foreseer team delivers digital transformation solutions at SPGMI for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers. Responsibilities Include Support and foster a quality-first, agile culture that is built on partnership, trust and sharing Design, develop and maintain functionalities to create new solutions on the platform. Learning and understanding all aspects of the framework and the project deliverables. Be technically deep and provide input on architecture, design and code. Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements. Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing. Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership. Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. Experience & Qualifications BS or MS degree in Computer Science, AI/ML, Data Science or related field. Overall experience should be 10+ Years. 6+ years hands on experience in AI/ML, Data Science or Technology Strategy 3+ years of experience in leadership roles. Strong understanding of AI technologies (e.g. Generative AI, NLP, Computer Vision) and their business applications. Background in Consulting or Corporate strategy with focus on AI. Familiarity with AI platforms (e.g., TensorFlow, PyTorch) and cloud AI services (AWS, GCP, Azure). Hands on experience in leveraging language models for information retrieval. Experience in different data base technologies (like RDBMS, NOSQL) Experience in Containerization, Container orchestration systems, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools Nice To Have Skills Distributed systems programming. Hands on experience in Java and Front End technologies. Hands on experience with Elastic/Redis search. Experience in Agile and Scrum methodologies What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315899 Posted On: 2025-07-28 Location: Hyderabad, Telangana, India

Job Description Position: Associate Director – Artificial Intelligence Organizations: The selected candidate with oversee the following SBUs; Health Parliament | Academy of Digital Health Sciences | International Patients’ Union Location: New Delhi Reports to President About the Role We are seeking a visionary and highly skilled Associate Director – Artificial Intelligence to lead the strategy, development, and deployment of AI-driven initiatives across platforms. The ideal candidate will combine deep technical expertise with strategic leadership and a passion for transforming healthcare through AI. This role spans three pioneering institutions: Health Parliament – A global think tank and leadership development organization shaping global healthcare policy, governance and reforms. Academy of Digital Health Sciences – leading digital health education and training. International Patients’ Union (IPU) – empowering patients and amplifying their voices globally. Key Responsibilities Strategic Leadership Develop and execute the AI strategy across healthcare policy, training, and patient engagement initiatives. Lead AI governance frameworks focusing on ethics, bias mitigation, safety, and transparency. Identify global collaborations in AI for healthcare. AI Research & Development Design, pilot, and scale AI-driven healthcare models Oversee data integration and interoperability projects ensuring compliance with GDPR, HIPAA, and other applicable guidelines. Capacity Building Represent the organizations in global forums such as WHO, UN IGF, and Commonwealth Operational Leadership Build and manage a multidisciplinary AI innovation team. Work closely with investors, regulators, and advisory boards. Qualifications Education Master’s or PhD in Artificial Intelligence, Computer Science, Data Science, and Digital Health. Certifications in AI ethics, healthcare informatics, or digital health policy are highly desirable. Experience 3–5 years of progressive experience in AI/ML with at least 2 years in healthcare AI applications. Proven track record in AI strategy, implementation, or policy advocacy at national or international level. Experience with health data governance, federated learning, natural language processing (NLP), or generative AI solutions. Skills Expertise in Python, R, TensorFlow, PyTorch, and other leading AI/ML frameworks. Understanding of digital therapeutics, telemedicine, remote monitoring, and patient engagement platforms. Excellent communication and leadership skills with ability to interact policy and industry leaders. Ability to balance technical depth with strategic foresight. Why Join Us? Be at the epicenter of global healthcare transformation. Work with a world-class board, advisory board and visionary leadership. Drive initiatives that impact millions of patients and healthcare providers globally. Shape the future of digital health policy, education, and patient empowerment. Apply via: office@digitalacademy.health

Job Description Position: Associate Director – Artificial Intelligence Organizations: The selected candidate with oversee the following SBUs; Health Parliament | Academy of Digital Health Sciences | International Patients’ Union Location: New Delhi Reports to President About the Role We are seeking a visionary and highly skilled Associate Director – Artificial Intelligence to lead the strategy, development, and deployment of AI-driven initiatives across platforms. The ideal candidate will combine deep technical expertise with strategic leadership and a passion for transforming healthcare through AI. This role spans three pioneering institutions: Health Parliament – A global think tank and leadership development organization shaping global healthcare policy, governance and reforms. Academy of Digital Health Sciences – leading digital health education and training. International Patients’ Union (IPU) – empowering patients and amplifying their voices globally. Key Responsibilities Strategic Leadership Develop and execute the AI strategy across healthcare policy, training, and patient engagement initiatives. Lead AI governance frameworks focusing on ethics, bias mitigation, safety, and transparency. Identify global collaborations in AI for healthcare. AI Research & Development Design, pilot, and scale AI-driven healthcare models Oversee data integration and interoperability projects ensuring compliance with GDPR, HIPAA, and other applicable guidelines. Capacity Building Represent the organizations in global forums such as WHO, UN IGF, and Commonwealth Operational Leadership Build and manage a multidisciplinary AI innovation team. Work closely with investors, regulators, and advisory boards. Qualifications Education Master’s or PhD in Artificial Intelligence, Computer Science, Data Science, and Digital Health. Certifications in AI ethics, healthcare informatics, or digital health policy are highly desirable. Experience 3–5 years of progressive experience in AI/ML with at least 2 years in healthcare AI applications. Proven track record in AI strategy, implementation, or policy advocacy at national or international level. Experience with health data governance, federated learning, natural language processing (NLP), or generative AI solutions. Skills Expertise in Python, R, TensorFlow, PyTorch, and other leading AI/ML frameworks. Understanding of digital therapeutics, telemedicine, remote monitoring, and patient engagement platforms. Excellent communication and leadership skills with ability to interact policy and industry leaders. Ability to balance technical depth with strategic foresight. Why Join Us? Be at the epicenter of global healthcare transformation. Work with a world-class board, advisory board and visionary leadership. Drive initiatives that impact millions of patients and healthcare providers globally. Shape the future of digital health policy, education, and patient empowerment. Apply via: office@patientsunion.org

Role & responsibilities Hands on AI engine creator, who can train new models, integrate existing models, apply transfer learning. Be a part of a motivated, happy, and enthusiastic and a brilliant team that works on the cutting edge AI for the Media and Entertainment industry and contribute by actively developing and improving new solutions with AI Integrate with Gen AI / LLM solutions and create appropriate prompt engineering and prompt optimization to extract the best results Build complex solutions that work in a simple way hiding complexities from the customer at an optimal cost and speed. Tune accuracies, develop innovative methods to make hypothesis better without overfitting. Be able to work with ambiguity, with no references from the past to refer to sometimes, be ready to be the 2 first to solve in the industry. Provide technical leadership and thought leadership. Should have hands on experience in Localization, Speech to text, Transcription, Translation. Invent and Patent x Hands on experience on Computer vision, Open CV, Tensforflow, Pytorch, Python, Nueral networks, CNNs, GenAL / Generative AI, LLMs, Prompt engineering, AWS or Azure cloud, Dockers and K8s/Kubernetes. Additional :- GANs, Nano models, Google LLMs (Bard, Gemini), Hugging face models (Mistral, etc

AI/ML Engineer (Specializing in NLP/ML, Large Data Processing, and Generative AI) Job Summary Synechron seeks a highly skilled AI/ML Engineer specializing in Natural Language Processing (NLP), Large Language Models (LLMs), Foundation Models (FMs), and Generative AI (GenAI). The successful candidate will design, develop, and deploy advanced AI solutions, contributing to innovative projects that transform monolithic systems into scalable microservices integrated with leading cloud platforms such as Azure, Amazon Bedrock, and Google Gemini. This role plays a critical part in advancing Synechrons capabilities in cutting-edge AI technologies, enabling impactful business insights and product innovations. Software Requirements Required Proficiency: Python (core libraries: TensorFlow, PyTorch, Hugging Face transformers, etc.) Cloud platforms: Azure, AWS, Google Cloud (familiarity with AI/ML services) Containerization: Docker, Kubernetes Version control: Git Data management tools: SQL, NoSQL databases (e.g., MongoDB) Model deployment and MLOps tools: MLflow, CI/CD pipelines, monitoring tools Preferred Skills: Experience with cloud-native AI frameworks and SDKs Familiarity with AutoML tools Additional programming languages (e.g., Java, Scala) Overall Responsibilities Design, develop, and optimize NLP models, including advanced LLMs and Foundation Models, for diverse business use cases. Lead the development of large data pipelines for training, fine-tuning, and deploying models on big data platforms. Architect, implement, and maintain scalable AI solutions in line with MLOps best practices. Transition legacy monolithic AI systems into modular, microservices-based architectures for scalability and maintainability. Build end-to-end AI applications from scratch, including data ingestion, model training, deployment, and integration. Implement retrieval-augmented generation techniques for enhanced context understanding and response accuracy. Conduct thorough testing, validation, and debugging of AI/ML models and pipelines. Collaborate with cross-functional teams to embed AI capabilities into customer-facing and enterprise products. Support ongoing maintenance, monitoring, and scaling of deployed AI systems. Document system designs, workflows, and deployment procedures for compliance and knowledge sharing. Performance Outcomes: Production-ready AI solutions delivering high accuracy and efficiency. Robust data pipelines supporting training and inference at scale. Seamless integration of AI models with cloud infrastructure. Effective collaboration leading to innovative AI product deployment. Technical Skills (By Category) Programming Languages: Essential: Python (TensorFlow, PyTorch, Hugging Face, etc.) Preferred: Java, Scala Databases/Data Management: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, DynamoDB) Cloud Technologies: Azure AI, AWS SageMaker, Bedrock, Google Cloud Vertex AI, Gemini Frameworks and Libraries: Transformers, Keras, scikit-learn, XGBoost, Hugging Face engines Development Tools & Methodologies: Docker, Kubernetes, Git, CI/CD pipelines (Jenkins, Azure DevOps) Security & Compliance: Knowledge of data security standards and privacy policies (GDPR, HIPAA as applicable) Experience Requirements 8 to 10 years of hands-on experience in AI/ML development, especially NLP and Generative AI. Demonstrated expertise in designing, fine-tuning, and deploying LLMs, FMs, and GenAI solutions. Proven ability to develop end-to-end AI applications within cloud environments. Experience transforming monolithic architectures into scalable microservices. Strong background with big data processing pipelines. Prior experience working with cloud-native AI tools and frameworks. Industry experience in finance, healthcare, or technology sectors is advantageous. Alternative Experience: Candidates with extensive research or academic experience in AI/ML, especially in NLP and large-scale data processing, are eligible if they have practical deployment experience. Day-to-Day Activities Develop and optimize sophisticated NLP/GenAI models fulfilling business requirements. Lead data pipeline construction for training and inference workflows. Collaborate with data engineers, architects, and product teams to ensure scalable deployment. Conduct model testing, validation, and performance tuning. Implement and monitor model deployment pipelines, troubleshoot issues, and improve system robustness. Document models, pipelines, and deployment procedures for audit and knowledge sharing. Stay updated with emerging AI/ML trends, integrating best practices into projects. Present findings, progress updates, and technical guidance to stakeholders. Qualifications Bachelors degree in Computer Science, Data Science, or related field; Masters or PhD preferred. Certifications in AI/ML, Cloud (e.g., AWS, Azure, Google Cloud), or Data Engineering are a plus. Proven professional experience with advanced NLP and Generative AI solutions. Commitment to continuous learning to keep pace with rapidly evolving AI technologies. Professional Competencies Strong analytical and problem-solving capabilities. Excellent communication skills, capable of translating complex technical concepts. Collaborative team player with experience working across global teams. Adaptability to rapidly changing project scopes and emerging AI trends. Innovation-driven mindset with a focus on delivering impactful solutions. Time management skills to prioritize and manage multiple projects effectively.

About NetApp NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people. If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization - and beyond. Job Summary We are looking for a Software Engineer to join our Performance Engineering Infrastructure team. We work on developing tools and automation frameworks that make ONTAP the most performant storage operating system. As an engineer on our team, you will work as part of a dynamic, innovative, and fun team responsible for developing frameworks that help build performance models and benchmarks to measure, analyze, visualize and improve ONTAP performance. You will work on developing new and/or enhancing existing tools focused on performance aspects of ONTAP software stack. This is a great opportunity to solve challenging, complex problems with immediate applications in high growth sector of the tech industry. If you like creative problem solving, are willing to constantly learn new technologies and have “getting things done” attitude, you may be just the person we’re looking for! Job Requirements Proficient in Python and Python based web-frameworks. Knowledge of other scripting languages like Perl, Shell, Expect is a plus. Experience in building/supporting automation frameworks (generally python-based) and tools to measure and improve performance of complex software stacks. Demonstrated ability to quickly learn new software stacks and prototype ideas. Any experience of GenAI, AI/ML frameworks and tools such as TensorFlow, PyTorch, LangChain etc. will be a strong advantage. Knowledge of data storage systems and file systems will be a plus. Ability and willingness to adapt to rapidly changing work environment and willingness to take on additional tasks and responsibilities. Education 5 or more years of related experience. A Bachelor of Science degree in Computer Science Engineering, a Master’s Degree, or a PhD. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification. Why NetApp? We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches. We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life. If you want to help us build knowledge and solve big problems, let's talk.

All Jobs Lead Software Engineer (Python, GenAI, LLM) at Epam India Lead Software Engineer (Python, GenAI, LLM) Apply Posted on June 18, 2024 | Closed on July 16, 2025 Epam India Hyderabad, Bangalore Full TIme Job Description We are seeking a skilled Lead Software Engineer to join our team and lead a project focused on developing GenAI applications using Large Language Models (LLMs) and Python programming. In this role, you will be responsible for designing and optimizing Al-generated text prompts to maximize effectiveness for various applications. You will also collaborate with cross-functional teams to ensure seamless integration of optimized prompts into the overall product or system. Your expertise in prompt engineering principles and techniques will allow you to guide models to desired outcomes and evaluate prompt performance to identify areas for optimization and iteration. Responsibilities Design, develop, test and refine AI-generated text prompts to maximize effectiveness for various applications Ensure seamless integration of optimized prompts into the overall product or system Rigorously evaluate prompt performance using metrics and user feedback Collaborate with cross-functional teams to understand requirements and ensure prompts align with business goals and user needs Document prompt engineering processes and outcomes, educate teams on prompt best practices and keep updated on the latest AI advancements to bring innovative solutions to the project Requirements 7 to 12 years of relevant professional experience Expertise in Python programming including experience with Al/machine learning frameworks like TensorFlow, PyTorch, Keras, Langchain, MLflow, Promtflow 2-5 years of working knowledge of NLP and LLMs like BERT, GPT-3/4, T5, etc. Knowledge of how these models work and how to fine-tune them Expertise in prompt engineering principles and techniques like chain of thought, in-context learning, tree of thought, etc. Knowledge of retrieval augmented generation (RAG) Strong analytical and problem-solving skills with the ability to think critically and troubleshoot issues Excellent communication skills, both verbal and written in English at a B2+ level for collaborating across teams, explaining technical concepts, and documenting work outcomes

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Data Science Engineer What You Will Do Let’s do this. Let’s change the world. In this vital role We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines. Roles & Responsibilities: Collaborate with data scientists to develop, train, and evaluate machine learning models. Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring. Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment. Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency. Develop and implement monitoring systems to track model performance and identify issues. Conduct A/B testing and experimentation to optimize model performance. Work closely with data scientists, engineers, and product teams to deliver ML solutions. Stay updated with the latest trends and advancements What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master's degree / Bachelor's degree and 5 to 9 years [Job Code’s Discipline and/or Sub-Discipline] Functional Skills: Must-Have Skills: Solid foundation in machine learning algorithms and techniques Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD) Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and interpersonal skills Good-to-Have Skills: Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing Experience with data engineering and pipeline development Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification Knowledge of NLP techniques for text analysis and sentiment analysis Experience in analyzing time-series data for forecasting and trend analysis What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Title: AI/ML Engineer Job Type: Full-time Department: Artificial Intelligence / Machine Learning Reports To: AI/ML Engineering Manager About the Role: We are seeking a skilled AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will design, develop, and deploy machine learning models and AI algorithms that power data-driven applications. You will collaborate with data scientists, software engineers, and business stakeholders to implement cutting-edge AI solutions that provide tangible value to the organization. The ideal candidate will have a deep understanding of machine learning, data modeling, and AI technologies, along with experience in building end-to-end solutions. You should be passionate about solving complex problems, driving innovation, and working in a collaborative environment. Responsibilities: Design, develop, and deploy machine learning models for predictive analytics, automation, and optimization. Build and maintain data pipelines for AI applications, ensuring that data is clean, reliable, and ready for analysis. Apply advanced AI/ML techniques such as deep learning , reinforcement learning , and natural language processing (NLP) to solve real-world problems. Collaborate with data scientists and software engineers to integrate AI models into production systems and applications. Perform exploratory data analysis (EDA) and feature engineering to identify meaningful patterns and insights from large datasets. Optimize model performance and scalability through techniques such as hyperparameter tuning, parallel processing, and cloud-based model deployment. Contribute to the development of AI/ML frameworks and tools to improve the efficiency and effectiveness of the team. Stay up to date with the latest trends, research, and advancements in AI/ML technologies. Mentor junior engineers and support their growth in the AI/ML domain. Communicate technical findings and results to both technical and non-technical stakeholders. Requirements: 4-10 years of experience in AI/ML engineering or related fields. Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow , PyTorch , Keras , Scikit-learn ). Solid understanding of machine learning algorithms, deep learning , NLP , and reinforcement learning . Experience with data preprocessing, feature engineering, and working with large datasets. Hands-on experience with cloud platforms (e.g., AWS , Azure , Google Cloud ) for model deployment and management. Proficiency in SQL and experience with NoSQL databases for data retrieval. Knowledge of model evaluation metrics, cross-validation, and performance optimization techniques. Familiarity with CI/CD pipelines for deploying machine learning models. Experience with data visualization and communication of results to stakeholders. Strong problem-solving abilities and a passion for working on complex AI challenges. Ability to work independently as well as collaborate effectively in a team environment.

Job Title: AI/ML Engineer Job Type: Full-time Department: Artificial Intelligence / Machine Learning Reports To: AI/ML Engineering Manager About the Role: We are seeking a skilled AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will design, develop, and deploy machine learning models and AI algorithms that power data-driven applications. You will collaborate with data scientists, software engineers, and business stakeholders to implement cutting-edge AI solutions that provide tangible value to the organization. The ideal candidate will have a deep understanding of machine learning, data modeling, and AI technologies, along with experience in building end-to-end solutions. You should be passionate about solving complex problems, driving innovation, and working in a collaborative environment. Responsibilities: Design, develop, and deploy machine learning models for predictive analytics, automation, and optimization. Build and maintain data pipelines for AI applications, ensuring that data is clean, reliable, and ready for analysis. Apply advanced AI/ML techniques such as deep learning , reinforcement learning , and natural language processing (NLP) to solve real-world problems. Collaborate with data scientists and software engineers to integrate AI models into production systems and applications. Perform exploratory data analysis (EDA) and feature engineering to identify meaningful patterns and insights from large datasets. Optimize model performance and scalability through techniques such as hyperparameter tuning, parallel processing, and cloud-based model deployment. Contribute to the development of AI/ML frameworks and tools to improve the efficiency and effectiveness of the team. Stay up to date with the latest trends, research, and advancements in AI/ML technologies. Mentor junior engineers and support their growth in the AI/ML domain. Communicate technical findings and results to both technical and non-technical stakeholders. Requirements: 4-10 years of experience in AI/ML engineering or related fields. Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow , PyTorch , Keras , Scikit-learn ). Solid understanding of machine learning algorithms, deep learning , NLP , and reinforcement learning . Experience with data preprocessing, feature engineering, and working with large datasets. Hands-on experience with cloud platforms (e.g., AWS , Azure , Google Cloud ) for model deployment and management. Proficiency in SQL and experience with NoSQL databases for data retrieval. Knowledge of model evaluation metrics, cross-validation, and performance optimization techniques. Familiarity with CI/CD pipelines for deploying machine learning models. Experience with data visualization and communication of results to stakeholders. Strong problem-solving abilities and a passion for working on complex AI challenges. Ability to work independently as well as collaborate effectively in a team environment.

Job Title: AI/ML Engineer Job Type: Full-time Department: Artificial Intelligence / Machine Learning Reports To: AI/ML Engineering Manager About the Role: We are seeking a skilled AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will design, develop, and deploy machine learning models and AI algorithms that power data-driven applications. You will collaborate with data scientists, software engineers, and business stakeholders to implement cutting-edge AI solutions that provide tangible value to the organization. The ideal candidate will have a deep understanding of machine learning, data modeling, and AI technologies, along with experience in building end-to-end solutions. You should be passionate about solving complex problems, driving innovation, and working in a collaborative environment. Responsibilities: Design, develop, and deploy machine learning models for predictive analytics, automation, and optimization. Build and maintain data pipelines for AI applications, ensuring that data is clean, reliable, and ready for analysis. Apply advanced AI/ML techniques such as deep learning , reinforcement learning , and natural language processing (NLP) to solve real-world problems. Collaborate with data scientists and software engineers to integrate AI models into production systems and applications. Perform exploratory data analysis (EDA) and feature engineering to identify meaningful patterns and insights from large datasets. Optimize model performance and scalability through techniques such as hyperparameter tuning, parallel processing, and cloud-based model deployment. Contribute to the development of AI/ML frameworks and tools to improve the efficiency and effectiveness of the team. Stay up to date with the latest trends, research, and advancements in AI/ML technologies. Mentor junior engineers and support their growth in the AI/ML domain. Communicate technical findings and results to both technical and non-technical stakeholders. Requirements: 4-10 years of experience in AI/ML engineering or related fields. Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow , PyTorch , Keras , Scikit-learn ). Solid understanding of machine learning algorithms, deep learning , NLP , and reinforcement learning . Experience with data preprocessing, feature engineering, and working with large datasets. Hands-on experience with cloud platforms (e.g., AWS , Azure , Google Cloud ) for model deployment and management. Proficiency in SQL and experience with NoSQL databases for data retrieval. Knowledge of model evaluation metrics, cross-validation, and performance optimization techniques. Familiarity with CI/CD pipelines for deploying machine learning models. Experience with data visualization and communication of results to stakeholders. Strong problem-solving abilities and a passion for working on complex AI challenges. Ability to work independently as well as collaborate effectively in a team environment.

Lead Engineer- NLP: Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development and work-life balance. About Innovation and Technology Centre (ITC) Our Innovation and Technology Centre specializes in creating modular solutions to meet clients' specific needs. As a member of the team, you will have the opportunity to develop and implement digital products, platforms, and tools specifically designed for research, analytics, and data management domains. We are at the forefront of technological advancements, and our AI efforts rely on our larger platform called AI for Research and Analytics (AIRA). What you will be doing at Evalueserve Building and implementing advanced machine learning (ML) and deep learning (DL) algorithms and models Applying different natural language processing (NLP) techniques to problems such as text classification, text summarization, questions and answers, information retrieval, knowledge extraction, and design of conversational bots by using traditional and generative AI techniques Contributing to the design and development of enterprise-grade generative AI applications, including but not limited to advanced RAG, VDB optimization, LLM evaluation, and finetuning Designing and developing a practical and analytical approach while maintaining a focus on aspects such as data quality and availability, feasibility, scalability, and turnaround time. What were Looking for At least a bachelors / master`s degree in computer science, information systems, statistics, mathematics, or a related field Strong understanding of data science processes, such as data investigation, cleaning, minimal viable models, and nuances related to the deployment and enhancement. About 8-12 years of experience in NLP, ML, and DL More than one year of experience in generative AI application development at the production level. Demonstrated ability in developing NLP / ML / DL / generative AI project solutions. Hands-on experience and deep theoretical expertise in NLU, NLP, NLG, and common NLP algorithms and DL architectures such as Transformers, BERT, word2vec, FastText, and ELMO Hands-on experience in building and handling product-level delivery of knowledge graphs, ranking algorithms, recommendation engines, etc In-depth knowledge and experience in handling open-source frameworks, such as TensorFlow, PyTorch, and Hugging face Transformers. Expert-level programming experience in Python / C++ Familiarity with general software design concepts, product development lifecycles, and ML model deployment best practices Experience in analyzing large amounts of user-generated content and process data in large-scale environments by using cloud infrastructure Proficiency in scraping data from external sources and developing architectures to store and organize the information for generating insights Experience in contributing to open-source software projects Experience and tenacity to go beyond available tools / techniques to design solutions in line with product requirements Ability to communicate with internal and external stakeholders and convey complex information clearly and concisely Understanding of the cultural differences and work styles in a global environment. Follow us on https://www.linkedin.com/compan y/evalueserve/ Click here to learn more about what our Leaders talking on achievements AI-powered supply chain optimization solution built on Google Cloud. How Evalueserve is now Leveraging NVIDIA NIM to enhance our AI and digital transformation solutions and to accelerate AI Capabilities . Know more about ho w Evalueserve has climbed 16 places on the 50 Best Firms for Data Scientists in 2024! Want to learn more about our culture and what its like to work with us? Write to us at: careers@evalueserve.com Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances. Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure all information is factual and submitted on time. For any assistance, your TA SPOC is available to support you.

We are looking for a highly skilled Machine Learning Engineer with expertise in Generative AI to join our team at Kapture CRM. The ideal candidate will have 2-7 years of experience and a strong background in software product development. Roles and Responsibility Design and develop machine learning models using various algorithms and techniques. Collaborate with cross-functional teams to integrate machine learning solutions into existing products. Develop and maintain large-scale data pipelines and architectures. Conduct research and experimentation to improve model performance and efficiency. Work closely with data engineers to ensure seamless data integration. Implement automated testing and deployment scripts. Job Requirements Strong understanding of machine learning fundamentals, including supervised and unsupervised learning. Experience with deep learning frameworks such as TensorFlow or PyTorch. Proficiency in programming languages such as Python, Java, or C++. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a fast-paced environment. Strong communication and interpersonal skills.

Job Description Position: Associate Director – Artificial Intelligence Organizations: The selected candidate with oversee the following SBUs; Health Parliament | Academy of Digital Health Sciences | International Patients’ Union Location: New Delhi Reports to President About the Role We are seeking a visionary and highly skilled Associate Director – Artificial Intelligence to lead the strategy, development, and deployment of AI-driven initiatives across platforms. The ideal candidate will combine deep technical expertise with strategic leadership and a passion for transforming healthcare through AI. This role spans three pioneering institutions: Health Parliament – A global think tank and leadership development organization shaping global healthcare policy, governance and reforms. Academy of Digital Health Sciences – leading digital health education and training. International Patients’ Union (IPU) – empowering patients and amplifying their voices globally. Key Responsibilities Strategic Leadership Develop and execute the AI strategy across healthcare policy, training, and patient engagement initiatives. Lead AI governance frameworks focusing on ethics, bias mitigation, safety, and transparency. Identify global collaborations in AI for healthcare. AI Research & Development Design, pilot, and scale AI-driven healthcare models Oversee data integration and interoperability projects ensuring compliance with GDPR, HIPAA, and other applicable guidelines. Capacity Building Represent the organizations in global forums such as WHO, UN IGF, and Commonwealth Operational Leadership Build and manage a multidisciplinary AI innovation team. Work closely with investors, regulators, and advisory boards. Qualifications Education Master’s or PhD in Artificial Intelligence, Computer Science, Data Science, and Digital Health. Certifications in AI ethics, healthcare informatics, or digital health policy are highly desirable. Experience 3–5 years of progressive experience in AI/ML with at least 2 years in healthcare AI applications. Proven track record in AI strategy, implementation, or policy advocacy at national or international level. Experience with health data governance, federated learning, natural language processing (NLP), or generative AI solutions. Skills Expertise in Python, R, TensorFlow, PyTorch, and other leading AI/ML frameworks. Understanding of digital therapeutics, telemedicine, remote monitoring, and patient engagement platforms. Excellent communication and leadership skills with ability to interact policy and industry leaders. Ability to balance technical depth with strategic foresight. Why Join Us? Be at the epicenter of global healthcare transformation. Work with a world-class board, advisory board and visionary leadership. Drive initiatives that impact millions of patients and healthcare providers globally. Shape the future of digital health policy, education, and patient empowerment. Apply via: contact@parliament.health

Introduction A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions. Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career. We are seeking a skilled software developer to join our IBM Software team. As part of our team, you will be responsible for developing and maintaining high-quality software products, working with a variety of technologies and programming languages. IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. Your Role And Responsibilities AI Development and Implementation: Design, develop, and deploy cutting-edge AI solutions using GenAI technologies. Implement and optimize Large Language Models (LLMs) for natural language processing (NLP) applications. Leverage Retrieval-Augmented Generation (RAG) techniques to enhance AI-driven insights and decision-making. Integration to Enterprise Software: Integrate AI models/Agents with Enterprise Software tools to generate high-quality data driven AI use-cases. Develop custom AI algorithms and Agents to integrate novel features in to the product. Solution Optimization and Integration: Fine-tune NLP models to align with domain-specific needs and improve accuracy. Collaborate with cross-functional teams to integrate AI solutions into enterprise workflows. Mentorship and Leadership: Mentor junior developers on AI best practices, tools, and frameworks. Lead brainstorming sessions to explore innovative AI applications and solutions. Research and Innovation: Stay updated with the latest advancements in AI, GenAI, LLMs, and RAG to continuously enhance systems. Conduct proof-of-concept projects to evaluate emerging technologies for business use cases. Preferred Education Bachelor's Degree Required Technical And Professional Expertise Programming Expertise: Proficient in Python with demonstrated experience in AI and ML development. AI Agents, GenAI and LLMs: Strong expertise in GenAI concepts, including the design, deployment, and optimization of Large Language Models (LLMs), Designing AI Agents and deployments. NLP Skills: Advanced knowledge of NLP techniques for text analysis, summarization, and contextual understanding. RAG Expertise: Hands-on experience with Retrieval-Augmented Generation (RAG) to enhance knowledge retrieval systems. Tools and Frameworks: Proficiency with AI frameworks like TensorFlow, PyTorch, Hugging Face, or similar. Familiarity with cloud platforms (AWS, Azure, GCP) for deploying AI solutions. Preferred Technical And Professional Experience DevOps and MLOps: Knowledge of deploying AI models in production environments using MLOps best practices. Data Engineering: Familiarity with data preparation, preprocessing pipelines, and working with unstructured datasets. Agile Methodologies: Experience working in Agile development environments for iterative delivery. Soft Skills: Strong problem-solving skills, attention to detail, and ability to communicate complex concepts to technical and non-technical stakeholders.

Job Responsibilities: • Lead from the front as a hands-on subject matter expert, architecting and crafting scalable solutions, and driving data excellence across the organization • Architect a full ML Platform and build out the infrastructure to support scalability • Manage and mentor the team to ensure high-quality project delivery. • Plan and oversee AI projects, including data collection, model development, and deployment. • Evaluate AI model performance and optimize as needed for accuracy and efficiency. • Collaborate with stakeholders to understand business requirements and translate them into AI solutions. • Ensure compliance with data privacy and ethical AI practices. • Provide collaborative leadership to build out the AI function, MLEs, MLOps and Data Engineering • Define best AI/ML driven practices and AI lifecycle • Coach and mentor our team as we build scalable data and machine learning solutions • Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies • Inform and deliver on ambitious product roadmaps to accelerate growth

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us! Job Description AI Architect Pune/Noida/Bangalore, India As an AI Architect, you will lead the design, development, and deployment of enterprise-grade artificial intelligence solutions that drive innovation and deliver measurable business value. You will report to the Director of Enterprise Architecture and work in a hybrid capacity from our Pune, India office. In this role, you will collaborate with cross-functional teams—including data scientists, engineers, and business leaders—to ensure AI systems are scalable, secure, and ethically aligned with organizational goals. Your Responsibilities Architect and implement AI solutions: Design and oversee end-to-end AI architectures that integrate seamlessly with existing IT and data infrastructure, ensuring scalability, performance, and maintainability. Lead cross-functional delivery teams: Guide data scientists, engineers, and business stakeholders through the full AI solution lifecycle—from ideation and prototyping to production deployment and monitoring. Evaluate and recommend technologies: Assess AI/ML platforms, frameworks, and tools (e.g., TensorFlow, PyTorch, cloud AI services) to ensure alignment with business needs and technical feasibility. Establish best practices: Define standards for model development, testing, deployment, and lifecycle management, ensuring compliance with ethical AI principles and data privacy regulations. Mentor and evangelize: Provide technical leadership and mentorship to junior architects and data professionals, while promoting AI adoption and architectural vision across the organization. The Essentials – You Will Have A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 5+ years of experience designing and implementing AI architectures in production environments. Proficiency with AI/ML frameworks and tools such as TensorFlow, PyTorch, Keras, Scikit-learn, and cloud-based AI services (e.g., AWS SageMaker, Azure ML). Strong programming skills in Python, R, Java, or similar languages. Deep understanding of data structures, algorithms, and software engineering best practices. Demonstrated experience leading complex AI projects with cross-functional teams. Proven track record of delivering AI solutions that drive business outcomes. Experience with ethical AI practices and compliance with data protection regulations. The Preferred – You Might Also Have Experience deploying AI solutions on cloud platforms (AWS, Azure, GCP) in hybrid or multi-cloud environments. Familiarity with MLOps tools and practices for continuous integration, deployment, and monitoring of AI models. Strong problem-solving skills and the ability to translate business requirements into scalable technical solutions. Experience mentoring and developing talent within AI or data science teams. What We Offer Our benefits package includes … Comprehensive mindfulness programs with a premium membership to Calm Volunteer Paid Time off available after 6 months of employment for eligible employees Company volunteer and donation matching program – Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation. Employee Assistance Program Personalized wellbeing programs through our OnTrack program On-demand digital course library for professional development and other local benefits! At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles. Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office. Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us! Job Description AI Architect Pune/Noida/Bangalore, India As an AI Architect, you will lead the design, development, and deployment of enterprise-grade artificial intelligence solutions that drive innovation and deliver measurable business value. You will report to the Director of Enterprise Architecture and work in a hybrid capacity from our Pune, India office. In this role, you will collaborate with cross-functional teams—including data scientists, engineers, and business leaders—to ensure AI systems are scalable, secure, and ethically aligned with organizational goals. Your Responsibilities Architect and implement AI solutions: Design and oversee end-to-end AI architectures that integrate seamlessly with existing IT and data infrastructure, ensuring scalability, performance, and maintainability. Lead cross-functional delivery teams: Guide data scientists, engineers, and business stakeholders through the full AI solution lifecycle—from ideation and prototyping to production deployment and monitoring. Evaluate and recommend technologies: Assess AI/ML platforms, frameworks, and tools (e.g., TensorFlow, PyTorch, cloud AI services) to ensure alignment with business needs and technical feasibility. Establish best practices: Define standards for model development, testing, deployment, and lifecycle management, ensuring compliance with ethical AI principles and data privacy regulations. Mentor and evangelize: Provide technical leadership and mentorship to junior architects and data professionals, while promoting AI adoption and architectural vision across the organization. The Essentials – You Will Have A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 5+ years of experience designing and implementing AI architectures in production environments. Proficiency with AI/ML frameworks and tools such as TensorFlow, PyTorch, Keras, Scikit-learn, and cloud-based AI services (e.g., AWS SageMaker, Azure ML). Strong programming skills in Python, R, Java, or similar languages. Deep understanding of data structures, algorithms, and software engineering best practices. Demonstrated experience leading complex AI projects with cross-functional teams. Proven track record of delivering AI solutions that drive business outcomes. Experience with ethical AI practices and compliance with data protection regulations. The Preferred – You Might Also Have Experience deploying AI solutions on cloud platforms (AWS, Azure, GCP) in hybrid or multi-cloud environments. Familiarity with MLOps tools and practices for continuous integration, deployment, and monitoring of AI models. Strong problem-solving skills and the ability to translate business requirements into scalable technical solutions. Experience mentoring and developing talent within AI or data science teams. What We Offer Our benefits package includes … Comprehensive mindfulness programs with a premium membership to Calm Volunteer Paid Time off available after 6 months of employment for eligible employees Company volunteer and donation matching program – Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation. Employee Assistance Program Personalized wellbeing programs through our OnTrack program On-demand digital course library for professional development and other local benefits! At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles. Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office. Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

Position Title: AI Ops Engineer Position Type: Regular - Full-Time Position Location: New Delhi Grade: Grade 06 Requisition ID: 32845 Job Purpose Design, develop, and implement artificial intelligence (AI) solutions that leverage advanced algorithms and machine learning techniques to solve complex business problems. Work closely with cross-functional teams to understand requirements, gather and analyze data, and build AI models that can automate processes, improve decision-making, and drive innovation. Job Responsibilities Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs. Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance, scalability, and efficiency. Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contributing to the establishment of best practices and standards for generative AI development within the organization. Providing technical mentorship and guidance to junior team members. Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines Implement monitoring and logging tools to ensure AI model performance and reliability Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. Key Qualification & Experiences Minimum 5 years of experience in Data Science and Machine Learning In-depth knowledge of machine learning, deep learning, and generative AI techniques Knowledge and experience in Generative AI Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models Familiarity with computer vision techniques for image recognition, object detection, or image generation Experience with cloud platforms such as Azure or AWS Expertise in data engineering, including data curation, cleaning, and preprocessing Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels Track record of driving innovation and staying updated with the latest AI research and advancements You have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Master degree is preferred. You have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. You are proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. You have strong knowledge of data structures, algorithms, and software engineering principles. You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. You have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. You are familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. You have knowledge of software development methodologies, such as Agile or Scrum. You possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. You have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. McCain Foods is an equal opportunity employer. We see value in ensuring we have a diverse, antiracist, inclusive, merit-based, and equitable workplace. As a global family-owned company we are proud to reflect the diverse communities around the world in which we live and work. We recognize that diversity drives our creativity, resilience, and success and makes our business stronger. McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to meet your needs. Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with the Global Employee Privacy Policy Job Family: Information Technology Division: Global Digital Technology Department: Cloud and Data Centre Location(s): IN - India : Haryana : Gurgaon Company: McCain Foods(India) P Ltd

Handson exp with LLM-based solution experience using OpenAI, Gemini, etc. Must have skills in fine-tuning, RAG, agents, vector DBs (ChromaDB, FAISS, Pinecone), LangChain, Hugging Face, TensorFlow, PyTorch. 1-2 GenAI implementations & 2+ yrs in ML/DL.