9814 Tensorflow Jobs - Page 30

We are a cutting-edge technology company that specializes in developing innovative artificial intelligence and machine learning solutions. Our mission is to harness the power of AI to drive business growth, improve efficiency, and enhance customer experience. Job Summary: We are seeking an experienced Artificial Intelligence Engineer to join our team in Indore, Madhya Pradesh, India. As an AI Engineer, you will be responsible for designing, developing, and deploying AI and ML models to solve complex business problems. You will work closely with our data scientists, product managers, and other engineers to integrate AI into our products and services. Key Responsibilities: 1. Design and Develop AI/ML Models: Design, develop, and deploy AI/ML models using Python and other relevant technologies. Collaborate with data scientists to gather requirements, collect data, and develop models. Implement and test models using various frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). 2. Prompt Engineering: Develop and refine natural language processing (NLP) models using prompt engineering techniques. Create high-quality prompts to elicit accurate and relevant responses from AI models. Optimize prompt design to improve model performance and reduce errors. 3. Python Development: Develop and maintain Python scripts and code to support AI/ML model deployment. Utilize Python libraries and frameworks to build and integrate AI/ML models into our products. Collaborate with other engineers to ensure seamless integration with existing systems. 4. Data Preprocessing and Analysis: Collect, preprocess, and analyze data to support AI/ML model development. Clean, transform, and feature-engineer data to improve model performance. Work with data scientists to identify and address data quality issues. 5. Collaboration and Communication: Work closely with data scientists, product managers, and other engineers to integrate AI

Recruitment Fraud Alert We’ve learned that scammers are impersonating Commvault team members—including HR and leadership—via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number. What To Know Commvault does not conduct interviews by email or text. We will never ask you to submit sensitive documents (including banking information, SSN, etc) before your first day. If you suspect a recruiting scam, please contact us at wwrecruitingteam@commvault.com About Commvault Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data. Principal Engineer - Artificial Intelligence (with Gen AI) The Opportunity We have an outstanding career opportunity for a Principal Engineer- Artificial Intelligence in Bengaluru, Hyderabad, and Pune. As an AI Engineer, you will play a pivotal role in developing and implementing innovative AI solutions to enhance customer interactions, streamline processes, and drive overall business growth. We are an extra ordinary engineering team that thrives on innovative ideas! We believe in having a dynamic engineering process but at the same time believe that processes can evolve to enhance Developer efficiencies and capabilities. We take pride in our ability to complete complex projects while delivering exceptional results to our customers. It takes great people to build great software and that’s where you come in! We thrive upon collaboration and focus our efforts on maintaining a strong diverse workforce. We hire individuals from all different backgrounds and experiences and are passionate about equality and integrity. What You’ll Do AI Model Development: Design, develop, and deploy advanced AI models, including machine learning algorithms, natural language processing, and computer vision, to address specific customer experience challenges. Data Analysis: Collect, clean, and analyze large datasets to identify patterns, trends, and insights that inform AI model development and optimization. Customer Experience Integration: Integrate AI solutions seamlessly into our existing customer experience systems and platforms, ensuring a cohesive and personalized customer journey. Algorithm Optimization: Continuously refine and improve AI models to enhance their accuracy, efficiency, and effectiveness in delivering exceptional customer experiences. Proof of Concept (POC) Development: Develop and test AI-powered prototypes and POCs to demonstrate the feasibility and value of proposed solutions. Collaboration: Work closely with cross-functional teams, including product managers, designers, and customer success representatives, to align AI initiatives with business objectives and customer needs. Stay Updated: Keep abreast of the latest advancements in AI technology and industry best practices to ensure our solutions remain cutting-edge. Who You Are Bachelor's degree required. Strong programming skills in Python or other relevant programming languages. Experience with popular AI frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn. In-depth knowledge of machine learning algorithms, including supervised, unsupervised, and reinforcement learning. Experience with natural language processing (NLP) techniques, such as text classification, sentiment analysis, and language generation. Knowledge of cloud platforms (AWS, GCP, Azure) and their AI services. A passion for delivering exceptional customer experiences through innovative AI solutions. Knowledge of customer relationship management (CRM) systems and customer data platforms. Experience with AI-powered chatbots or virtual assistants. Knowledge of ethical AI practices and data privacy regulations. Security and SaaS experience strongly preferred. You’ll Love Working Here Because Employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Annual health check-ups, Car lease Program, and Tuition Reimbursement An inclusive company culture, an opportunity to join our Community Guilds Personal accident cover and Term life cover Ready to #makeyourmark at Commvault? Apply now! Commvault is an equal opportunity workplace and is an affirmative action employer. We are always committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status and we will not discriminate against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we work. Commvault’s goal is to make interviewing inclusive and accessible to all candidates and employees. If you have a disability or special need that requires accommodation to participate in the interview process or apply for a position at Commvault, please email accommodations@commvault.com For any inquiries not related to an accommodation please reach out to wwrecruitingteam@commvault.com. Commvault's Privacy Policy

Skill Required • Python, PyTorch, TensorFlow, OpenCV • Multimodal models: CLIP, BLIP-2, LLaVA, GPT-4V, Stable Diffusion • Hugging Face Transformers, vision transformers (ViTs) • Cloud platforms (AWS/GCP/Azure) • Transfer learning and model fine-tuning

JD for Generative AI Specialist JD Junior / Senior Generative AI Specialist Year of experience Junior / Senior 4-6 Years or 6- 8 years Shift : 11AM - 8PM Location : Chennai. Mode : Work From Office Role -The Generative AI specialist should be building GenAI LLM model driven solution using State of the Art Models like ( OpenAI, Gemini, Claude) , Opensource Models ( llama, Mistral). Should have expertise in fine tuning and training models . Should have implemented projects with expertise on Agents, Tools and RAG solutions. Hands on expertise in integrating LLMs with VectorDB like chromadb, faiss, pinecone is required. Expertise in PEFT, Quantization of models is required. Experience in Tensorflow, Pytorch, Python, Hugging Face, Transformers is must. Expert in data preparation, analysis and hands one expertise in Deep Learning model development is preferred. Additional expertise in deploying models in AWS is desired but optional. Skills OpenAI, Gemini, LangChain, Transformers, Hugging Face, Python, Pytorch, Tensorflow, Vectordb( chromadb, faiss, pinecone) Project experience Atleast 1-2 live implementation of Generative AI driven solution implementation. Extensive experience in implementing chatbots, knowledge search and in NLP . Good expertise in implementing Machine learning and deep learning solutions for atleast 2 years. 4th Floor, Techno Park, 10, Rajiv Gandhi Salai, Customs Colony, Sakthi Nagar, Thoraipakkam, Chennai 600097 Skills: rag,nlp,aws,vectordb (chromadb, faiss, pinecone),claude,agents,tensorflow,langchain,chatbots,hugging face,analysis,transformers,python,chromadb,gemini,openai,deep learning,faiss,llms,opensource models,pytorch,genai llm,peft,machine learning,llama,vectordb,mistral,pinecone

Design, develop, and implement machine learning models, including deep learning, reinforcement learning, and predictive modelling. Leverage frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for AI/ML development. Work on NLP projects utilizing tools like NLTK, Langchain, and large language models (GPT and LLAMA). Perform data preprocessing, cleaning, and transformation for machine learning pipelines. Conduct data exploration and statistical analysis to derive actionable insights. Utilize tools like Power BI, Tableau, Matplotlib, Plotly, and Seaborn to create interactive dashboards and visualizations. Deliver engaging online and offline training sessions on AI, ML, Deep Learning, and related tools Create course materials, hands-on projects, quizzes, and assignments Guide students on capstone projects and assessments Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Education: Bachelor's (Preferred) Experience: total work: 2 years (Preferred) artificial intelligence: 2 years (Preferred) Work Location: In person

Nizzcorp is looking for a dynamic AI/ML Developer with hands-on experience across the AI spectrum — from classical Machine Learning and Deep Learning to cutting-edge Generative AI applications. If you're passionate about solving real-world problems using intelligent systems, we want you on our team. Responsibilities: Build, deploy, and maintain ML/DL/GenAI models and pipelines Work on end-to-end AI product lifecycle (data collection to model serving) Integrate LLMs and GenAI APIs into real-world applications Analyze and interpret complex datasets for actionable insights Collaborate with cross-functional teams to develop scalable solutions Requirements: Minimum 1 year of professional experience in AI/ML Strong understanding of: Machine Learning algorithms Deep Learning (CNN, RNN, Transformers) Generative AI (LLMs, image/text generation) Data Science and data preprocessing pipelines Proficient in Python and frameworks such as TensorFlow, PyTorch, Scikit-learn Experience with APIs, deployment, and version control (Git) Bonus: Experience with RAG, fine-tuning, prompt engineering What We Offer: Opportunity to work on cutting-edge AI projects Collaborative, learning-focused environment Flexible working hours and remote-friendly culture Fast career growth and upskilling support Job Type: Full-time Pay: ₹25,000.00 - ₹35,000.00 per month Schedule: Day shift Experience: Machine learning: 1 year (Required) Deep learning: 1 year (Required) Python: 2 years (Required) PyTorch: 1 year (Required) TensorFlow: 1 year (Required) Azure: 1 year (Required) Work Location: In person Expected Start Date: 30/07/2025

We are looking for a highly motivated and curious Generative AI Intern to join our team. This internship is an exciting opportunity to work on cutting-edge AI technologies including language models (like ChatGPT), image generation tools, and more. You will assist in building, testing, and evaluating AI-powered applications and contribute to real-world AI projects. Key Responsibilities: Assist in the development and fine-tuning of generative AI models (text, image, audio, etc.). Support the team in creating prompts, evaluating outputs, and refining model responses. Perform data cleaning, annotation, and preparation for model training. Conduct literature research on the latest AI/ML techniques and tools. Collaborate with cross-functional teams to integrate AI models into products or services. Document experiments, processes, and results in a clear and organized manner. Requirements: Pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Basic understanding of Machine Learning and Natural Language Processing. Familiarity with Python and libraries like TensorFlow, PyTorch, Hugging Face Transformers, etc. Good analytical and problem-solving skills. Enthusiasm to learn and work on generative AI models (LLMs, diffusion models, etc.). Strong communication and teamwork skills. Preferred Qualifications (Bonus): Experience with prompt engineering or building with APIs like OpenAI, Cohere, or Anthropic. Knowledge of deep learning architectures (Transformers, GANs, etc.). Exposure to tools like LangChain, Pinecone, or vector databases. Benefits: Hands-on experience with cutting-edge AI tools and technologies. Mentorship from experienced AI engineers and researchers. Opportunity to work on impactful, real-world projects. Certificate and letter of recommendation upon successful completion. Job Types: Full-time, Permanent, Internship Contract length: 3 months Pay: ₹5,000.00 per month Benefits: Paid sick time Schedule: Day shift Work Location: In person

Foreseer AI- Lead Hyderabad, India; Gurgaon, India Information Technology 315899 Job Description 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

Senior Data Scientist Hyderabad, Telangana, India Date posted Jul 08, 2025 Job number 1844017 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. We are looking for a Senior Data Scientist to join our Detection Engineering team and lead the development of AI/ML models that enhance the efficiency and impact of Microsoft’s Security Operations Center (SOC). In this role, you will drive the design and optimization of scalable, data-driven solutions that transform massive security signal data into actionable intelligence. You’ll bring deep technical expertise to guide model architecture, platform integration, and best practices in security engineering, while collaborating closely with analysts, responders, and engineers to align on goals, scope, and strategy. Beyond technical leadership, you’ll continuously evolve our advanced detection frameworks to improve accuracy, reduce false positives, and stay ahead of emerging threats. You’ll mentor early-in-career engineers, foster a culture of learning and innovation, and contribute to a strong, inclusive team environment grounded in Microsoft’s values. If you’re passionate about applying data science to real-world security challenges and thrive in a fast-paced, mission-driven space, we’d love to hear from you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Qualifications 8+ years of experience in Data Science, machine learning, natural language processing, and deep learning preferably with a focus on Cyber Security or related fields. Experience in programming languages such as Python, R, or Scala, with hands-on experience in data analysis, experimental design principles and visualization. Experience in translating complex data into actionable insights and recommendations that drive business impact. Excellent technical design skills and proven ability to drive large scale system designs for complex projects or products. Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn and others). In-depth knowledge of cybersecurity principles, threats, and attack vectors. Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data processing. Strong analytical and problem-solving skills with the ability to think creatively. Excellent communication skills with the ability to explain complex concepts stakeholders. Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or equivalent experience. Preferred Qualifications: Experience in developing and deploying machine learning models for Cyber security applications. Experience in Big Data preferably in the cybersecurity or SaaS industry. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurity. Excellent track record of cross team collaboration. Ambitious, self-motivated. Agile, can-do attitude and great at dealing with ambiguity. Responsibilities Develop and implement machine learning models and algorithms to detect security threats and attacks within Microsoft. Analyse large and complex datasets generated to identify patterns and anomalies indicative of security risks. Collaborate with security experts to understand threat landscapes and incorporate domain knowledge into models. Continuously monitor and improve the performance of security models to adapt to evolving threats. Lead the design and implementation of data-driven security solutions and tools. Mentor and guide junior data scientists in best practices and advanced techniques. Communicate findings and insights to stakeholders, including senior leadership and technical teams. Stay up to date with the latest advancements in data science, machine learning, and cybersecurity. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

About Adsparkx: Adsparkx is a leading Global Performance Marketing Agency headquartered in India. We have been empowering brands since 2014 helping them acquire high quality and engaging users globally via data-driven decisions. We are innovators, hustlers and ad-tech moguls/experts who function with the belief of catalyzing a disruptive change in the industry by providing empowered and customized digital experiences to consumers/brands. Adsparkx unlocks the full potential of your business with its diligent workforce, catering to worldwide clients at their time zones. We operate globally and have offices in Gurgaon, Chandigarh, Singapore and US. We value partnerships and have maintained sustainable relationships with reputed brands, shaping their success stories through services like Affiliate Marketing, Branding, E-commerce, Lead Generation, and Programmatic Media Buying. We have helped navigate over 200 brands to success. Our clientele includes names like Assurance IQ, Inc, Booking.com, Groupon, etc. If you wish to change the game of your brand, visit us here- https://adsparkx.com/ Job Title: Ai Engineer Location: Gurugram, Haryana Employment Type: Full-Time Experience Required: 4-6 Years Objective of the Role: We are seeking a highly skilled Ai Enginee r who will be responsible for building, testing, and maintaining robust, scalable, and secure web applications. The ideal candidate will have strong expertise in Python and Django , with additional exposure to machine learning , generative AI frameworks , and modern deep learning architectures . This role involves optimizing performance, ensuring security, working with APIs, and collaborating closely with cross-functional teams to deliver high-quality backend solutions. Key Responsibilities: 3-6 years of hands-on experience in Python. Design, develop, and maintain backend services and RESTful APIs using Django or Django REST Framework. Work with third-party APIs and external services to ensure smooth data integration. Optimize application performance and implement robust security practices. Design scalable and efficient data models; work with relational and NoSQL databases. Implement and maintain CI/CD pipelines using tools like Docker, Git, Jenkins, or GitHub Actions. Collaborate with front-end developers, DevOps engineers, and product managers to deliver end-to-end solutions. Integrate and deploy ML models and AI features in production environments (a strong plus). Write clean, modular, and testable code following best practices. Troubleshoot, debug, and upgrade existing systems. Required Skills and Qualifications: Strong proficiency in Python and Django framework. Experience with PostgreSQL , MongoDB , or MySQL . Familiarity with Docker , Gunicorn , Nginx , and CI/CD pipelines. Experience with machine learning and deep learning concepts. Exposure to Generative AI , Transformers , Agentic Frameworks , and Fine-Tuning techniques . Hands-on experience with PyTorch or TensorFlow (PyTorch preferred). Ability to translate ML/AI solutions into production-ready APIs or services. Strong problem-solving and debugging skills. Nice to Have: Knowledge of FastAPI or Flask. Experience deploying models via TorchServe or ONNX. Familiarity with MLOps practices and tools like MLflow, DVC, or SageMaker. If you're passionate about backend development and excited to work at the intersection of software engineering and AI innovation , we’d love to hear from you.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Develop and execute the vision for Generative AI services enablement and solution delivery on United AI Studio (enterprise ML platform) to enable thousands of developers to build their own applications Stay up to date with latest Generative AI technologies and literature recommending solutions to improve business goals Create and manage best practices for us of Generative AI that will ensure secure, consistent, and efficient use of resources across the UHG enterprise Evangelize the benefits of generative AI through proofs-of-concept and demos to drive adoption for employees and functional roles across the UHG enterprise including technology, operations, marketing, legal, compliance, people team, internal infrastructure, and more Mentor AI/ML entering teams in both understanding the details of ML literature to ensuring the delivery of AI/ML projects Collaborate with cross-functional teams to determine applicability of AI to business problems Closely collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with the company policies and standards Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree in computer science, Math, Statistics, or a related STEM field with equivalent experience 15+ years of experience in a technical engineering role including 5+ years focused on AI/ML solutions delivery Experience leading and implementing AI/ML projects from ideation to delivery and evaluation Working knowledge of Software Development tools and practices including DevOps and CI/CD tools (Git, Jenkins, Docker, Kubernetes, etc.) Proficiency in cloud platforms and services (Azure, AWS, GCP, etc.) Proficiency in Gen AI solution pipeline engineering, RAG, Evaluations Proficiency in Large Language Modeling and Transformer Architectures (BERT, GPT, etc.) Proficiency in AI/ML engineering systems with Python Proficiency of AI/ML frameworks and tools (MLFlow, TensorFLow, PyTorch, JAX) Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concept and results to technical and non-technical audiences Preferred Qualifications: Master’s in computer science, Mathematics, Statistics, or a related STEM discipline Experience in healthcare (AI) Experience working with cross-functional and distributed teams in a global and diverse environment Experience in mentoring and coaching AI/ML talent Experience in establishing AI/ML best practices, standards, and ethics A proven track record of delivering high-impact AI/ML solutions for real-world problems and use cases A portfolio of AI/ML publications, patents, or awards Demonstrated superior written and verbal presentation skills with a wide range of size and types of audiences including executive leadership At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

100% ONSITE - 5 Days office - Sat & Sun Off Position: AI Developer Experience: 6 to 8 Years Location: Hyderabad (Mandatory) Work Mode: 5 Days Work from Office Key Responsibilities: Design, develop, and deploy AI-powered agents and intelligent automation solutions. Work extensively with LLMs, NLP, and ML/DL frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers). Integrate AI solutions into enterprise systems and business processes using APIs and RPA tools like UiPath or Automation Anywhere. Fine-tune and optimize pre-trained AI models focusing on scalability, accuracy, and performance. Collaborate with cross-functional teams – Product, Data Engineering, DevOps, and Business Stakeholders. Stay updated with the latest AI advancements and apply them to business solutions. Maintain proper documentation and testing protocols for AI solutions. Required Skills & Qualifications: 6–8 years of hands-on experience in AI development. Expertise in: LLMs (GPT, BERT, LLaMA, etc.) ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn) NLP techniques (classification, NER, summarization) RPA tools and AI integration Proficient in Python (must), and optionally Java/C++. Strong knowledge of fine-tuning, prompt engineering, and inference optimization. Excellent problem-solving and cross-functional communication skills. DFusY9IqqR

SUMMARY The Computational Linguistics Expert will play a pivotal role in advancing Bhashini’s mission to bridge linguistic barriers across India. This role involves developing and refining AI-driven language technologies, collaborating with diverse stakeholders, and contributing to the creation of multilingual digital solutions. The ideal candidate will possess a deep understanding of computational linguistics, natural language processing (NLP), and the unique challenges associated with Indian languages. Location- Delhi 1 Year Contractual Role ABOUT US - https://www.wadhwaniai.org/ Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems and develop practical AI solutions to tackle these issues to make a substantial positive impact. We have over 30 AI projects supported by leading philanthropies such as the Bill & Melinda Gates Foundation, USAID, and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design, and user research. In the Press: Our Founder Donors are among the Top 100 AI Influencers G20 India’s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally. Unlocking the potentials of AI in Public Health Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.org Winner of the H&M Foundation Global Change Award 2022 Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellows Cultures page of Wadhwani AI - https://www.wadhwaniai.org/culture/ ABOUT BHASHINI Bhashini, an initiative under the National Language Translation Mission by MeitY, aims to make digital services accessible in local languages using AI and NLP technologies. By providing translation services for 22 scheduled Indian languages, Bhashini seeks to empower citizens, enhance digital governance, and foster social inclusion. The platform encompasses a comprehensive framework, including a data repository, a model repository, and the Universal Language Contribution API (ULCA), facilitating the development of AI technologies such as machine translation, automatic speech recognition (ASR), text-to-speech (TTS), and optical character recognition (OCR) across various Indian languages. ROLES AND RESPONSIBILITIES Language Technology Development: Design, develop, and optimize NLP models tailored for Indian languages, focusing on tasks such as machine translation, ASR, TTS, and OCR and approaches towards fine tuning of the models. Data Annotation and Curation: Lead efforts in collecting, annotating, and curating linguistic data, ensuring high-quality datasets for training and evaluation. Stakeholder Collaboration: Engage with startups, academic institutions, state governments, and line ministries to identify new use cases and drive the adoption of Bhashini’s language technologies. Research and Innovation: Stay abreast of the latest advancements in computational linguistics and AI, integrating cutting-edge techniques into Bhashini’s solutions. Proposal Development: Contribute to the drafting of proposals for new projects and partnerships with donors, multilateral organizations, and other stakeholders. Documentation and Reporting: Prepare comprehensive documentation, including technical reports, research papers, and user manuals, to support the dissemination and adoption of developed technologies. REQUIREMENTS Educational Background: Master’s or Ph.D. in Computational Linguistics, Computer Science, Artificial Intelligence, or a related field. Experience: Minimum of 6 years of experience in NLP, with a focus on Indian languages and multilingual systems. Technical Skills: Proficiency in programming languages such as Python, familiarity with NLP libraries (e.g., TensorFlow, PyTorch, Hugging Face), and experience with large language models. Linguistic Expertise: Deep understanding of the linguistic nuances of Indian languages, including syntax, semantics, and phonetics. Project Management: Demonstrated ability to manage projects, coordinate with diverse stakeholders, and deliver results within stipulated timelines. Communication Skills: Strong written and verbal communication skills, with the ability to convey complex technical concepts to non-technical audiences. DESIRABLE QUALIFICATIONS Experience with crowdsourcing platforms and initiatives, such as Bhasha Daan. Familiarity with the challenges of low-resource languages and strategies to address them. Prior involvement in government or public sector projects related to language technology. Publications in reputed journals or conferences in the field of computational linguistics or NLP. We are committed to promoting diversity and the principle of equal employment opportunity for all our employees and encourage qualified candidates to apply irrespective of religion or belief, ethnic or social background, gender, gender identity, and disability. If you have any questions, please email us at careers@wadhwaniai.org.

Project description We are looking for a skilled Document AI / NLP Engineer to develop intelligent systems that extract meaningful data from documents such as PDFs, scanned images, and forms. In this role, you will build document processing pipelines using OCR and NLP technologies, fine-tune ML models for tasks like entity extraction and classification, and integrate those solutions into scalable cloud-based applications. You will collaborate with cross-functional teams to deliver high-performance, production-ready pipelines and stay up to date with advancements in the document understanding and machine learning space. Responsibilities Design, build, and optimize document parsing pipelines using tools like Amazon Textract, Azure Form Recognizer, or Google Document AI. Perform data preprocessing, labeling, and annotation for training machine learning and NLP models. Fine-tune or train models for tasks such as Named Entity Recognition (NER), text classification, and layout understanding using PyTorch, TensorFlow, or HuggingFace Transformers. Integrate document intelligence capabilities into larger workflows and applications using REST APIs, microservices, and cloud components (e.g., AWS Lambda, S3, SageMaker). Evaluate model and OCR accuracy, applying post-processing techniques or heuristics to improve precision and recall. Collaborate with data engineers, DevOps, and product teams to ensure solutions are robust, scalable, and meet business KPIs. Monitor, debug, and continuously enhance deployed document AI solutions. Maintain up-to-date knowledge of industry trends in OCR, Document AI, NLP, and machine learning. Skills Must have 4-5 years of hands-on experience in machine learning, document AI, or NLP-focused roles. Strong expertise in OCR tools and frameworks, especially Amazon Textract, Azure Form Recognizer, Google Document AI, or open-source tools like Tesseract, LayoutLM, or PaddleOCR. Solid programming skills in Python and familiarity with ML/NLP libraries: scikit-learn, spaCy, transformers, PyTorch, TensorFlow, etc. Experience working with structured and unstructured data formats, including PDF, images, JSON, and XML. Hands-on experience with REST APIs, microservices, and integrating ML models into production pipelines. Working knowledge of cloud platforms, especially AWS (S3, Lambda, SageMaker) or their equivalents. Understanding of NLP techniques such as NER, text classification, and language modeling. Strong debugging, problem-solving, and analytical skills. Clear verbal and written communication skills for technical and cross-functional collaboration. Nice to have N/A Other Languages English: B2 Upper Intermediate Seniority Senior Gurugram, India Req. VR-116250 AI/ML BCM Industry 29/07/2025 Req. VR-116250

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

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale. Responsibilities: Leadership & Management Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment; Drive the roadmap for machine learning projects aligned with business goals; Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery. Machine Learning & LLM Expertise Design, develop, and fine-tune LLMs and other machine learning models to solve business problems; Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction; Stay ahead of advancements in LLMs and apply emerging technologies; Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML. AWS Cloud Expertise Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.); Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS; Ensure best practices in security, monitoring, and compliance within the cloud infrastructure. Technical Execution Oversee the entire ML lifecycle, from research and experimentation to production and maintenance; Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows; Debug, troubleshoot, and optimize production ML models for performance. Team Development & Communication Conduct regular code reviews and ensure engineering standards are upheld; Facilitate professional growth and learning for the team through continuous feedback and guidance; Communicate progress, challenges, and solutions to stakeholders and senior leadership. Qualifications: Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models); Strong expertise in AWS Cloud Services; Strong experience in ML/AI, including at least 2 years in a leadership role; Hands-on experience with Python, TensorFlow/PyTorch, and model optimization; Familiarity with MLOps tools and best practices; Excellent problem-solving and decision-making abilities; Strong communication skills and the ability to lead cross-functional teams; Passion for mentoring and developing engineers; Familiarity with Amazon Bedrock would be considered a significant plus.

We are seeking a highly skilled AI Engineer with a strong foundation in machine learning, deep learning, cloud platforms , and computer vision to join our innovative tech team. You’ll design and implement scalable AI/ML pipelines, automate workflows, train and optimize models, and deploy solutions on cloud infrastructure. This is an opportunity to shape the future of intelligent systems across industries. Key Responsibilities: Design, develop, and deploy ML/DL models for various applications, including computer vision and predictive analytics. Build data pipelines and model training workflows on cloud platforms such as AWS, Azure, or GCP. Automate model retraining, evaluation, and deployment processes using MLOps best practices. Collaborate with cross-functional teams (data engineers, product managers, developers) to define project requirements and deliver AI-powered features. Develop and fine-tune custom algorithms tailored to specific domain problems. Integrate AI solutions into existing systems using APIs, containers, and cloud-native tools. Conduct data preprocessing, exploratory data analysis, and feature engineering. Research and evaluate the latest AI trends, tools, and frameworks to recommend enhancements. Write clear, maintainable, and efficient code with documentation for reproducibility and scaling. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related fields. 3+ years of hands-on experience in building and deploying machine learning/deep learning models. Strong programming skills in Python and frameworks like TensorFlow, PyTorch, OpenCV, Scikit-learn. Experience with computer vision libraries (OpenCV, YOLO, Detectron2, etc.). Proficiency in cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML Studio). Experience with Docker, Kubernetes, or other orchestration tools. Familiarity with MLOps tools like MLflow, DVC, Kubeflow, or Airflow. Solid understanding of algorithms, data structures, and model optimization techniques. Exposure to RESTful APIs and real-time inference systems. Strong analytical, problem-solving, and communication skills. Nice to Have: Experience with NLP models and transformers (e.g., Hugging Face). Experience deploying models at scale in production environments. Knowledge of CI/CD pipelines for AI applications. Publications or contributions to open-source AI projects. Why Join Us? Job Type: Permanent Pay: ₹20,000.00 - ₹50,000.00 per month Work Location: In person

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities All About You Experience Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: o Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL o Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning o Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil o Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing o Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: o Confluence (Documentation) o Bitbucket/Stash (Code Sharing) o Shared Folders (File Sharing) o ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities All About You Experience Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: o Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL o Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning o Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil o Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing o Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: o Confluence (Documentation) o Bitbucket/Stash (Code Sharing) o Shared Folders (File Sharing) o ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required #AI1 Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: EY GDS – Data and Analytics - D and A – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements : Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. 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, AWS, or GCP and deploying AI solutions in a cloud environment. 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. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. 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. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Title: AI/ML Internship Company: Digirocket Technologies Location: Gurgaon, India Job Type: Internship (Full-time) Duration: 6 months Stipend: [Optional – mention if applicable] About Digirocket Technologies: Digirocket Technologies is a forward-thinking technology company focused on delivering cutting-edge digital solutions. Based in Gurgaon, we specialize in leveraging artificial intelligence, machine learning, and data analytics to empower businesses with intelligent automation and insights. Internship Overview: We are looking for a passionate and self-motivated AI/ML Intern to join our team. This internship offers hands-on experience with real-world machine learning projects, mentorship from experienced engineers, and exposure to the full ML lifecycle—from data preprocessing to model deployment. Key Responsibilities: Assist in building, training, and evaluating machine learning models. Perform data preprocessing, feature engineering, and exploratory data analysis. Collaborate with the development team on deploying AI/ML solutions. Research and experiment with new algorithms and techniques. Document experiments, code, and project outcomes clearly. Requirements: Currently pursuing or recently completed a degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning concepts and algorithms. Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, or PyTorch. Familiarity with data handling using Pandas, NumPy, etc. Knowledge of basic statistics and data visualization techniques. Strong problem-solving skills and the ability to work independently. Preferred Qualifications: Experience with NLP, computer vision, or deep learning projects. Familiarity with tools like Jupyter, Git, and cloud platforms (AWS, GCP, or Azure). Published projects on GitHub or relevant academic work. What We Offer: Mentorship from experienced AI professionals. Opportunity to work on live projects and make meaningful contributions. Flexible work environment (hybrid/onsite options in Gurgaon). Certificate of internship and potential full-time offer for top performers. How to Apply: Please send your resume, portfolio (if any), and a brief cover letter to hrconnect@digirockett.com Job Type: Internship Contract length: 6 months Pay: ₹10,000.00 - ₹15,000.00 per month Schedule: Evening shift Monday to Friday UK shift US shift Supplemental Pay: Overtime pay Work Location: In person

Job Description : AI Engineer Overview : We are looking for a highly skilled and experienced AI/ML to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential. Key Responsibilities : - Develop and maintain web applications using Django and Flask frameworks. - Design and implement RESTful APIs using Django Rest Framework (DRF). - Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. - Build and integrate APIs for AI/ML models into existing systems. - Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn. - Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases. - Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. - Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker. - Ensure the scalability, performance, and reliability of applications and deployed models. - Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. - Write clean, maintainable, and efficient code following best practices. - Conduct code reviews and provide constructive feedback to peers. - Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills and Qualifications : - Bachelor's degree in Computer Science, Engineering, or a related field. - Proficient in Python with a strong understanding of its ecosystem. - Extensive experience with Django and Flask frameworks. - Hands-on experience with AWS services for application deployment and management. - Strong knowledge of Django Rest Framework (DRF) for building APIs. - Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. - Experience with transformer architectures for NLP and advanced AI solutions. - Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). - Familiarity with MLOps practices for managing the machine learning lifecycle. - Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. - Excellent problem-solving skills and the ability to work independently and as part of a team. - Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Job Type: Full-time Pay: ₹700,000.00 - ₹1,800,000.00 per year Benefits: Flexible schedule Leave encashment Provident Fund Schedule: Day shift Experience: AI: 2 years (Required) Work Location: In person

Hiring: AI Agent Development (Intern) Company: Botivate Services LLP Location: Shriram Business Park, Block-I Office No. 224, Raipur (Near MGM Eye Institute) Salary: ₹8,000 – ₹10,000/month Responsibilities: Basic Knowledge Of AI/ML Concepts, LLMs, and NLP. Familiarity with Python and ML Frameworks (e.g. TensorFlow, PyTorch). Understanding Of APLs and Databases. Eagerness To Learn and Contribute in a Team Environment. Requirements: Build AI Agents Using LLMs , NLP , and Deep Learning. Integrate APIs , Tools , and Vector Databases. Train and Optimize ML Models. Support Deployment, Testing, and Improvements. How to Apply: Send your resume to: info@botivate.in or hr@botivate.in Call or WhatsApp: 9753340996 Job Type: Full-time Pay: ₹8,000.00 - ₹10,000.00 per month Language: English (Preferred) Work Location: In person

Job Description: We are looking for a Python AI Developer with expertise in AI/ML model development using data sourced from internal/external databases . The ideal candidate should have experience in building, training, and deploying machine learning models using structured and unstructured data. You will work closely with data engineers and software developers to create AI-driven solutions that enhance our applications and business processes. Key Responsibilities: Develop and deploy AI models using Python and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Worked with internal databases (SQL, NoSQL) to extract, clean, and preprocess data for AI models. Design and implement data pipelines for training and inference.Optimise model performance and ensure scalability .Collaborate with software developers to integrate AI solutions into production systems. Ensure the security and integrity of AI-driven applications.Stay updated with the latest AI, ML, and data science trends. Required Skills & Qualifications: Strong proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, and Scikit-learn . Experience working with structured and unstructured data from relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Firebase) databases.Knowledge of ETL processes and data engineering concepts. Experience with API development for AI model integration.Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployments.Strong understanding of data preprocessing, feature engineering, and model tuning . Ability to write clean, efficient, and scalable code.Experience with version control (Git) and Agile methodologies. Preferred Skills: Knowledge of Natural Language Processing (NLP) and LLM fine-tuning. Experience with MLOps tools and practices.Familiarity with big data technologies such as Spark, Hadoop .Understanding of deep learning architectures (CNNs, RNNs, Transformers). Job Type: Full-time Pay: Up to ₹100,000.00 per month Benefits: Flexible schedule Work Location: In person Application Deadline: 07/04/2025

Job description Job Title: Tech Trainer – AI/ML/Data Science/Robotics Location: Coimbatore (Onsite) Job Type: Full-time Apply: Send your resume to jobs@prognova.co About the Role We are seeking a dedicated and technically sound Tech Trainer to deliver impactful training in Machine Learning (ML), Artificial Intelligence (AI), Data Science, and Robotics. This role is ideal for freshers with strong subject knowledge or experienced trainers passionate about teaching and shaping future professionals. Key Responsibilities Deliver hands-on training sessions in ML, AI, Data Science, Python, and Robotics Design, update, and maintain engaging course materials and practical assignments Guide learners through real-world case studies and capstone projects Track learner performance and provide individual feedback Conduct workshops, bootcamps, and seminar sessions as needed Stay updated with the latest tools, technologies, and teaching methodologies Requirements Strong subject knowledge in ML, AI, Data Science, Python, or Robotics Excellent verbal and written communication skills Familiarity with tools and frameworks like Jupyter, TensorFlow, Scikit-learn, or Arduino Teaching or training experience is a plus (not mandatory for freshers with strong technical skills) Passion for knowledge sharing and learner success Bachelor’s or Master’s degree in Engineering, Science, or a relevant field Preferred Qualifications Certifications in AI, ML, Python, or Data Science Experience in academic or corporate training environments Exposure to e-learning tools and platforms What We Offer Competitive salary package Opportunity to train on cutting-edge technologies Supportive environment for continuous learning and growth Opportunity to contribute to impactful learning journeys and career development If you are passionate about teaching and have a strong technical foundation, we encourage you to apply. Send your resume to jobs@prognova.co . Job Type: Full-time Pay: ₹20,000.00 - ₹35,000.00 per month Ability to commute/relocate: Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Experience: Training & development: 1 year (Required) Work Location: In person Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹35,000.00 per month Ability to commute/relocate: Coimbatore West, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Education: Master's (Required) Experience: Training & development: 1 year (Required) Location: Coimbatore West, Coimbatore, Tamil Nadu (Required)