6193 Tensorflow Jobs - Page 27

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 Sr Data Engineer (ML Knowledge) Our Purpose We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results. Title and Summary Sr, ML Engineering Overview: As a Sr Machine Learning Engineer of the Data Science & AI team, you will develop analytical products and solutions that sit atop vast datasets gathered by retail stores, restaurants, banks, and other consumer-focused companies. The challenge will be to create high-performance algorithms built on data sets measured in the billions of transactions that allow our users to derive insights from big data that in turn drive their businesses with a keen eye for data privacy and governance. Role: Leads talent acquisition efforts and initiatives, facilitates training programs and conducts performance management for team of direct reports Lead teams in the creation of portfolio robust ML solutions through effective use of Mastercard’s global data assets and software platform Build, productionize and maintain data driver AI/ML application and data processing workflows or pipelines Consult with clients/ stakeholders to understand and translate their needs into a data analyses and/or solution, ensuring that their requirements are accurately captured and technically feasible Guide others in comprehensive technical analyses and allocates work across teams to ensure the delivery of high quality and effective solutions Liaise with internal stakeholders (e.g., MA TECH, Data Strategy Management, AI governance) to identify and elaborate on opportunities as they relate to analytical solution development, feasibility, and other technical offerings Lead development of presentations and technical documentation Identify and recommend opportunities to standardize and automate efforts to ensure quality and enable scaling of ML products Meet project deadlines for accountable deliverables and anticipates delays or foreseeable barriers to progress and escalates issues when necessary Conduct due diligence quality assurance testing for prototypes and tools in stage and resolves reoccurring complex issues and bugs Ensure that all machine learning processes, from data preparation to model deployment, are well-documented for internal use and compliance. Mentor and guide junior developers All About You: Expertise in Big Data Technologies: Proficiency in big data frameworks and tools such as Hadoop, Spark, Hive Technical Proficiency: Strong programming skills in languages such as Python and SQL. Experience with data visualization tools (e.g., Tableau, Power BI) and understanding of cloud computing services (AWS, Azure, GCP) related to data processing and storage is a plus. Experience with testing frameworks and test-driven development (TDD) practices Advanced Analytical Skills: Strong applied knowledge and hands on experience in machine learning algorithms and deep learning frameworks. Familiarity with AI and machine learning platforms such as TensorFlow, PyTorch, or similar. Familiar with training and deploying models with large datasets including strategies for parallelizing and optimizing the training/deployment workflows. Experience in productionizing of GenAI products a plus. Leadership and Strategic Planning: Proven experience in leading engineering teams, defining vision and strategy for data-driven initiatives, and driving projects from conception to implementation. Ability to mentor and develop talent within the team. Problem-Solving Skills: Strong analytical and critical thinking abilities to solve complex problems, along with the creativity to find innovative solutions. Communication and Collaboration: Excellent verbal and written communication skills, with the ability to explain complex analytical concepts to non-technical stakeholders. Experience in working cross-functionally with departments and flexibility to work as a member of a matrix based diverse and geographically distributed project teams. Project Management Skills: Proficiency in managing multiple projects simultaneously, with a focus on delivering results within tight deadlines. Responsible AI knowledge: Awareness of the principles and practices surrounding responsible AI, including fairness, transparency, accountability, and ethics in AI deployments. Innovation and Continuous Learning: A mindset geared towards innovation, staying abreast of industry trends, emerging technologies in big data and analytics, and continuously seeking opportunities for personal and professional growth. 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. 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. R-249208

Job Description We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelor’s/Master’s in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. Career Level - IC4 Responsibilities We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelor’s/Master’s in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. Diversity & Inclusion: An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation. . Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business. At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions. That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

What do you need for this opportunity? Must have skills required: TensorFlow, PyTorch, rag, LangChain Forbes Advisor is Looking for: Location - Remote (For candidate's from Chennai or Mumbai it's hybrid The Data Extraction Team is a brand-new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization. A typical day in the life of a Data Research Engineer will involve coming up with ideas regarding how the company/team can best harness the power of AI/LLM, and use it not only simplify operations within the team, but also to streamline the work of the research team in gathering/retrieving large sets of data. The role is that of a leader who sets a vision for the future of AI/LLMs use within the team and the company. They think outside the box and are proactive in engaging with new technologies and developing new ideas for the team to move forward in the AI/LLM field. The candidate should also at least be willing to acquire some basic skills in scraping and data pipelining. Responsibilities: Develop methods to leverage the potential of LLM and AI within the team. Proactive at finding new solutions to engage the team with AI/LLM, and streamline processes in the team. Be a visionary with AI/LLM tools and predict how the use of future technologies could be harnessed early on so that when these technologies come out, the team is ahead of the game regarding how it could be used. Assist in acquiring and integrating data from various sources, including web crawling and API integration. Stay updated with emerging technologies and industry trends. Explore third-party technologies as alternatives to legacy approaches for efficient data pipelines. Contribute to cross-functional teams in understanding data requirements. Assume accountability for achieving development milestones. Prioritize tasks to ensure timely delivery, in a fast-paced environment with rapidly changing priorities. Collaborate with and assist fellow members of the Data Research Engineering Team as required. Leverage online resources effectively like StackOverflow, ChatGPT, Bard, etc., while considering their capabilities and limitations. Skills and Experience Bachelor's degree in Computer Science, Data Science, or a related field. Higher qualifications is a plus. Think proactively and creatively regarding the next AI/LLM technologies and how to use them to the teams and companys benefits. Think outside the box mentality. Experience prompting LLMs in a streamlined way, taking into account how the LLM can potentially hallucinate and return wrong information. Experience building agentic AI platforms with modular capabilities and autonomous task execution. (crewai, lagchain, etc.) Proficient in implementing Retrieval-Augmented Generation (RAG) pipelines for dynamic knowledge integration. (chromadb, pinecone, etc) Experience managing a team of AI/LLM experts is a plus: this includes setting up goals and objectives for the team and fine-tuning complex models. Strong proficiency in Python programming Proficiency in SQL and data querying is a plus. Familiarity with web crawling techniques and API integration is a plus but not a must. Experience in AI/ML engineering and data extraction Experience with LLMs, NLP frameworks (spaCy, NLTK, Hugging Face, etc.) Strong understanding of machine learning frameworks (TensorFlow, PyTorch) Design and build AI models using LLMs Integrate LLM solutions with existing systems via APIs Collaborate with the team to implement and optimize AI solutions Monitor and improve model performance and accuracy Familiarity with Agile development methodologies is a plus. Strong problem-solving and analytical skills with attention to detail. Creative and critical thinking. Ability to work collaboratively in a team environment. Good and effective communication skills. Experience with version control systems, such as Git, for collaborative development. Ability to thrive in a fast-paced environment with rapidly changing priorities. Comfortable with autonomy and ability to work independently.

Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: Voice AI, Voice AI products, AI models, Large Language Models (LLMs), Python, Model deployment, Building AI Models, ASR models, Text-to-Speech (TTS) I-Stem is Looking for: You will: Develop, test, and refine end-to-end voice agent models (ASR, NLU, dialog management, TTS) Stress-test agents in noisy, real-world scenarios and iterate for improved robustness and low latency Research and prototype cutting-edge techniques (e.g. robust speech recognition, adaptive language understanding) Partner with backend and frontend engineers to seamlessly integrate AI components into live voice products Monitor agent performance in production, analyze failure cases, and drive continuous improvement You are: An AI/Software Engineer with hands-on experience in speech-centric ML (ASR, NLU or TTS) Skilled in building and tuning transformer-based speech models and handling real-time audio pipelines Obsessed with reliability: you design experiments to push agents to their limits and root-cause every error A clear thinker who deconstructs complex voice interactions from first principles Passionate about making voice technology inclusive and accessible for diverse users Comfortable moving fast in a small team, yet dogged about code quality, testing and reproducibility

Job Description Join our Control, Finance & Operating (CF&O) Artificial Intelligence (AI) Strategies (Strats) team at Goldman Sachs and play a pivotal role in advancing AI initiatives to drive operational efficiency and enhance processes through cutting-edge AI and Generative AI (GenAI) modeling and automation. You will get to work on one of the firm’s priorities for 2025, and leverage AI solutions to accelerate and transform business technology as well as enhancing the productivity of our people. As a CF&O AI Strategist, you will be at the forefront of designing, developing, and implementing innovative AI solutions across diverse areas including Risk, Controllers, Legal, and other critical domains. This exciting opportunity will see you collaborating with key stakeholders from these divisions to strategically deploy prioritized AI applications, thereby significantly improving our operational efficiency and improving productivity. The CF&O AI Strats team operates horizontally across CF&O divisions, with a clear mandate to strategically roll out impactful AI applications. Key Responsibilities Design, develop, and implement advanced AI and GenAI solutions to address complex challenges in Risk, Controllers, Legal, and other domains. Collaborate with stakeholders from various divisions to identify and prioritize AI applications that can drive operational efficiency and process improvements. Leverage state-of-the-art GenAI techniques, including Retrieval-Augmented Generation (RAG), AI agents, and other advanced methodologies, to develop robust AI models and solutions. Partner with business leaders and classic business teams to understand their needs and integrate AI solutions seamlessly into their workflows. Work closely with Goldman Sachs Engineering teams to leverage their technical solutions and infrastructure, ensuring the successful deployment and scalability of AI applications. Continuously monitor and evaluate the performance of AI models, making necessary adjustments to optimize their effectiveness and accuracy. Stay abreast of the latest advancements in AI and GenAI technologies, and proactively identify opportunities to incorporate these innovations into our AI strategies. Qualifications, Experience, And Attributes Bachelor's degree or higher in a quantitative subject such as Computer Science, Mathematics, Statistics, Engineering, or a related field. Proven commercial experience in designing, developing, and implementing AI and GenAI solutions, with a strong focus on practical applications and real-world impact. Demonstrated expertise in GenAI techniques, including but not limited to Retrieval-Augmented Generation (RAG), AI agents, and other advanced AI methodologies. Strong analytical and problem-solving skills, with the ability to translate complex business requirements into effective AI solutions. Excellent collaboration and communication skills, with the ability to work effectively with both technical and non-technical stakeholders. A proactive and innovative mindset, with a passion for staying at the forefront of AI and GenAI advancements and applying them to solve business challenges. Strong programming skills in languages commonly used in AI development, most importantly Python. Familiarity with AI and machine learning frameworks and tools, such as TensorFlow, PyTorch, or similar, is desirable. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 3rd July 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

As Analyst/ Lead /Scientist, you will play a pivotal role in optimizing our SRE team's ability to proactively identify and resolve issues within our voice, text messaging platform infrastructure. You will leverage your expertise in AI/ML and data analysis to model system behavior, flag anomalies, and analyze large-scale datasets to drive data-driven optimization and ensure effective utilization of ML capabilities. Qualifications/Skills/Abilities Minimum Requirements Formal Education Bachelor's degree in computer science, Information Technology, or a related field with specialization in data science (or equivalent experience). Experience (type duration) 5+ years of experience in data analysis or data science, preferably in a technical or engineering environment. Telecom domain experience is good to have. Skills Proficiency in data analysis tools (e.g., SQL, Python, etc.,). Strong understanding of statistical concepts and techniques. Experience with data visualization tools (e.g., Tableau, Power BI, kibana, graphana, DOMO). Familiarity with cloud-based infrastructure and applications (e.g., AWS, Azure, GCP). Ability to work effectively in a fast-paced, collaborative environment. Experience working with large datasets, log analysis, and tools like Elastic and Domo (or similar) will be a significant advantage. Strong knowledge of AI/ML algorithms and frameworks (e.g., TensorFlow, PyTorch). Experience with anomaly detection techniques and tools. Accreditation / certifications / licenses Preferred: Advanced degree in data science or a related field. Experience in the telecom domain. Certification in data science or machine learning. Key Duties Responsibilities 1 AI/ML Model Development: Develop and implement AI/ML models to analyze system behavior, identify anomalies, and predict potential issues. 2 Collaborative Problem Solving: Work closely with SRE and DevOps teams to identify data logs, analyze system behavior, and develop AI/ML models to address issues. 3 Data Analysis and Modeling: Conduct in-depth analysis of large-scale datasets (SQL, NoSQL) to extract valuable insights and build predictive models. 4 Anomaly Detection: Develop robust anomaly detection algorithms to flag unusual system behavior and prevent potential disruptions. 5 Data-Driven Optimization: Optimize system performance and resource allocation based on data-driven insights and AI/ML recommendations. 6 ML Capability Utilization: Ensure effective integration and utilization of ML capabilities across the SRE team to enhance operational efficiency and reliability. 7 Telemetry Data Analysis: Analyze large datasets of telemetry data from various sources (e.g., call logs, performance metrics, system logs) to identify patterns, trends, and anomalies. 8 Alerting Optimization: Develop and refine alerting rules based on data-driven insights to ensure timely notification of critical issues and minimize alert fatigue. 9 Proactive Issue Identification: Leverage data analysis techniques and AI/ML models to proactively identify potential system issues or outages before they occur. 10 Root Cause Analysis: Investigate and analyze incidents to identify root causes and implement preventive measures. 11 Data Visualization: Create clear and informative visualizations to communicate findings to stakeholders and facilitate decision-making. Preferred Skills Preferred: Advanced degree in data science or a related field. Experience in the telecom domain. Certification in data science or machine learning. Required Skills 5+ years of experience in data analysis or data science, preferably in a technical or engineering environment. Telecom domain experience is good to have.

Job Description We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelor’s/Master’s in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. Career Level - IC4 Responsibilities We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelor’s/Master’s in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. Diversity & Inclusion: An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation. . Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business. At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions. That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Job Summary Gen AI Technical Product Manager Overview: The GenAI Technical Product Manager having expertise to deal use cases exploration as business analyst, Architect develops and implements GEN AI architecture strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency. Develop architecture roadmap and strategy for GenAI Platforms and tech stacks. This role will focus on the technical development, deployment, and optimization of GenAI solutions, ensuring alignment with business strategies and technological advancements. Responsibilities: Develop cutting-edge architectural strategies for Gen AI components and platforms, leveraging advanced techniques such as chunking, Retrieval-Augmented Generation (RAG), Ai agents, and embeddings. Balance build versus buy decisions, ensuring alignment with SaaS models and decision trees, particularly for the PepGenX platform. Emphasize low coupling and cohesive model development. Lead working sessions for Arch Alignment, pattern library development, GEN AI Tools Data Architect alignment, tag new components to reuse (components reuse strategy), patterns of the usecases, reuse components ( save efforts, time money). Lead the implementation of LLM operations, focusing on optimizing model performance, scalability, and efficiency. Design and implement LLM agentic processes to create autonomous AI systems capable of complex decision-making and task execution. Work closely with data scientists and AI professionals to identify and pilot innovative use cases that drive digital transformation. Assess the feasibility of these use cases, aligning them with business objectives, ROI and leveraging advanced AI techniques. Gather inputs from various stakeholders to align technical implementations with current and future requirements. Develop processes and products based on these inputs, incorporating state-of-the-art AI methodologies. Define AI architecture and select suitable technologies, with a focus on integrating RAG systems, embedding models, and advanced LLM frameworks. Decide on optimal deployment models, ensuring seamless integration with existing data management and analytics tools. Audit AI tools and practices, focusing on continuous improvement of LLM ops and agentic processes. Collaborate with security and risk leaders to mitigate risks such as data poisoning and model theft, ensuring ethical AI implementation. Stay updated on AI regulations and map them to best practices in AI architecture and pipeline planning. Develop expertise in ML and deep learning workflow architectures, with a focus on chunking strategies, embedding pipelines, and RAG system implementation. Apply advanced software engineering and DevOps principles, utilizing tools like Git, Kubernetes, and CI/CD for efficient LLM ops. Collaborate across teams to ensure AI platforms meet both business and technical requirements. Spearhead the exploration and application of cutting-edge Large Language Models (LLMs) and Generative AI, including multi-modal capabilities and agentic processes. Oversee MLOps, automating ML pipelines from training to deployment with a focus on RAG and embedding optimization. Engage in sophisticated model development from ideation to deployment, leveraging advanced chunking and RAG techniques. Effectively communicate complex analysis results to business partners and executives. Proactively reduce biases in model predictions, focusing on fair and inclusive AI systems through advanced debiasing techniques in embeddings and LLM training. Design efficient data pipelines to support large language model training and inference, with a focus on optimizing chunking strategies and embedding generation for RAG systems. Proven track record in shipping products and developing state-of-the-art Gen AI product architecture. Experience: 10-15 years of experience with a strong balance of business acumen and technical expertise in AI. 5+ years in building and releasing NLP/AI software, with specific experience in RAG , Agents systems and embedding models. Demonstrated experience in delivering Gen AI products, including Multi-modal LLMs, Foundation models, and agentic AI systems. Deep familiarity with cloud technologies, especially Azure, and experience deploying models for large-scale inference using advanced LLM ops techniques. Proficiency in PyTorch, TensorFlow, Kubernetes, Docker, LlamaIndex, LangChain, LLM, SLM, LAM, and cloud platforms, with a focus on implementing RAG and embedding pipelines. Excellent communication and interpersonal skills, with a strong design capability and ability to articulate complex AI concepts to diverse audiences. Hands-on experience with chunking strategies, RAG implementation, and optimizing embedding models for various AI applications. Qualifications: - Bachelor’s or master’s degree in computer science, Data Science, or a related technical field. - Demonstrated ability to translate complex technical concepts into actionable business strategies. Experience in data-driven decision-making processes. - Strong communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders. - Proven track record in managing and delivering AI/ML projects, with a focus on GenAI solutions, in large-scale enterprise environments.

Job Summary Job Summary: We are seeking a talented Software Developer with a strong background in AI/ML Engineering to join our dynamic team. The ideal candidate will have 2 5 years of experience in software development, with a focus on artificial intelligence and machine learning technologies. You will be responsible for designing, developing, and implementing innovative software solutions that leverage AI/ML to enhance our products and services. Responsibilities: Design, develop, and maintain software applications with a focus on AI/ML functionalities. Collaborate with cross functional teams to gather requirements and translate them into technical specifications. Implement machine learning algorithms and models to solve complex business problems. Conduct data analysis and preprocessing to prepare datasets for model training. Optimize and fine tune AI/ML models for performance and scalability. Participate in code reviews and ensure adherence to best practices in software development. Stay updated with the latest trends and advancements in AI/ML technologies. Document software designs, processes, and technical specifications. Mandatory Skills: Strong knowledge of AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit learn). Proficiency in programming languages such as Python, Java, or C++. Experience with data manipulation and analysis using libraries like Pandas and NumPy. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Understanding of software development methodologies (Agile, Scrum). Preferred Skills: Experience with deep learning techniques and neural networks. Knowledge of natural language processing (NLP) and computer vision. Familiarity with version control systems (e.g., Git). Experience in developing RESTful APIs for AI/ML applications. Strong problem solving skills and ability to work in a fast paced environment. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 2 5 years of relevant experience in software development with a focus on AI/ML. Strong analytical and critical thinking skills. Excellent communication and teamwork abilities. If you are passionate about AI/ML and eager to contribute to innovative software solutions, we encourage you to apply and join our team!

Job Description We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelor’s/Master’s in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. Career Level - IC4 Responsibilities We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelor’s/Master’s in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. Diversity & Inclusion: An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation. . Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business. At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions. That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Job Description We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelor’s/Master’s in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. Career Level - IC4 Responsibilities We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelor’s/Master’s in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. Diversity & Inclusion: An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation. . Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business. At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions. That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Company Description About Nielsen Nielsen is a global leader in audience measurement, data and analytics, shaping the future of media. Our data is used by the media industry to understand how people engage with content and advertising across platforms. Job Description About the Role We're seeking mid and senior level DevOps Engineers to join the Nielsen Enterprise IT team to help develop and support our Generative AI solutions. This is an exciting opportunity for anyone interested in joining a highly skilled and dynamic infrastructure development team with a mission to develop, deploy, scale and optimize cloud systems focused around AI for the thousands of software engineers who work on Nielsen's exciting array of media products and services. The ideal candidate is a Tech Generalist who is excited about emerging technologies, like AI, and who is always eager to learn new things. You'll work in our modern, newly designed office spaces in either Bangalore or Mumbai, collaborating with cross-functional teams on internal Nielsen projects that are transforming how we operate. Qualifications Responsibilities Development of Generative AI Solutions and Automation for Nielsen Enterprise IT Hosting of Open Source Software Solutions using AWS and the LGTM stack Design and implement CI/CD pipelines for internal AI/ML models and applications Develop Python code to integrate AI libraries into Nielsen's systems Build and maintain infrastructure as code using Terraform for AI workloads Create monitoring, logging, and alerting systems for Nielsen's AI applications Optimize infrastructure for handling large-scale data processing and model processing Implement security best practices for Nielsen's internal AI systems and data Provide periodic L1 Support for Cloud Operations and Architecture guidance Participate in periodic On-Call shifts during working hours Required Bachelor's in Computer Sciences Engineering or similar discipline Great communication skills in English 4+ years of professional experience across development and operations AWS expertise (2+ years) Strong understanding of networking fundamentals Experience in cloud solutions design and development Strong Python programming skills (2+ years) Experience with Infrastructure as Code tools like Terraform or CloudFormation (1+ years) Experience with Git and CI/CD solutions Enthusiasm for emerging technologies, particularly Generative AI Preferred Master's in Cloud Technologies or similar field Previous experience working with Generative AI projects Knowledge of MLOps principles and tools Experience with AI frameworks (PyTorch, TensorFlow, Hugging Face) Multi-cloud experience Experience with API development and deployment Knowledge of database technologies (SQL, NoSQL) Nielsen Internal Projects You May Work On Internal chatbots and knowledge bases leveraging Generative AI GenAI for Enterprise, Finance and HR solutions Cloud infrastructure to support Nielsen's large-scale data processing needs DevOps automation across Nielsen's global development teams Optimization of deployment processes for Nielsen's media measurement products Implementation of AI capabilities within Nielsen's existing technology stack Additional Information Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

We are looking for a passionate and experienced Data Science/Engineering Trainer to join our training team. This role is ideal for professionals who love sharing knowledge, mentoring aspiring data engineers, and contributing to the growth of future tech talent. Job Description Deliver in-person classroom/online training on Data Science , Data Engineering , and related tools and technologies. Design course content, hands-on labs, case studies, and capstone projects aligned with industry standards. Teach tools and concepts such as: Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Power BI/Tableau Big Data (Spark, Hadoop) and Data Pipelines Cloud Platforms : AWS (Glue, S3, Redshift), Azure (ADF, Synapse), or GCP (BigQuery, Cloud Composer) ETL tools , Data Warehousing , MLOps , and DevOps Conduct assessments, code/project reviews, and support students with guidance and doubt resolution. Mentor students on interview preparation, career path, and hands-on project development. Continuously update training materials based on technology trends and feedback. Required Skill: 3+ years of experience in Data Science or Cloud Data Engineering roles(training/development). Strong coding skills in Python and SQL. Hands-on knowledge of at least one cloud platform ( AWS , Azure , or GCP ). Solid understanding of ML lifecycle, data lake/warehouse concepts, and ETL/ELT. Excellent presentation and communication skills. Nice to have : Certifications in AWS, GCP, or Azure (Data Engineering/AI/ML). What we Offer : Competitive salary and performance-based incentives. Work with senior architects and domain experts. Opportunity to contribute to real projects and mentor students for live industry challenges. Collaborative and growth-focused work environment. Flexibility to work from home.

Job Title: AI/ML Trainer Location: Sec 34A, Chandigarh Company: CBitss Technologies Experience: Minimum 2 years Joining: Immediate Joiner Preferred Job Summary: CBitss Technologies is looking for a passionate and knowledgeable AI/ML Trainer to join our dynamic team. The ideal candidate should have strong hands-on experience in Python , Machine Learning , and Artificial Intelligence concepts with a zeal to train and mentor aspiring learners. Key Responsibilities: Deliver classroom and online training sessions on AI, Machine Learning, and Python . Prepare training materials, assignments, projects, and real-world case studies. Assess and track students’ progress through evaluations, feedback, and project reviews. Guide students in building their capstone ML/AI projects. Stay updated with the latest trends, tools, and techniques in AI and ML. Support curriculum design and contribute to content creation. Conduct workshops, mock interviews, and assessments when required. Required Skills & Qualifications: Minimum 1–2 years of industry or teaching experience in AI/ML. Proficiency in Python programming and its ML libraries such as NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch . Strong understanding of ML algorithms , model evaluation , and data preprocessing . Excellent presentation, communication, and mentoring skills. Ability to explain complex technical concepts in a clear and engaging manner. Bachelor's degree in Computer Science, Engineering, or a related field (preferred). Nice to Have: Knowledge of Deep Learning , NLP , or Computer Vision . Experience in curriculum design or e-learning platforms. Certifications in AI/ML or Python (optional but a plus). #AITrainer #MLTrainer #MachineLearningTrainer #ArtificialIntelligenceTrainer #PythonTrainer #DataScienceTrainer #TechTrainer #TrainerJobs #EdTechJobs #TeachingJobsInTech #AIJobs #MLJobs #WeAreHiring Job Type: Full-time Pay: ₹15,703.95 - ₹45,086.95 per month Benefits: Cell phone reimbursement Flexible schedule Internet reimbursement Paid sick time Paid time off Provident Fund Schedule: Day shift Morning shift Supplemental Pay: Overtime pay Performance bonus Quarterly bonus Ability to commute/relocate: Chandigarh, Chandigarh: Reliably commute or planning to relocate before starting work (Required) Experience: AI/ML: 2 years (Required) Location: Chandigarh, Chandigarh (Required) Work Location: In person

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description What you get to do in this role Design and build scalable search ranking, indexing and AI-based systems. Integrate user behavior signals, session data, and content metadata to optimize relevance. Strong analytical and quantitative problem-solving ability Collaborate cross-functionally with product, data, and infra teams to deploy experiments and measure impact. Drive & shape architectural decisions that align with long-term scalability and maintainability. Experience working with LLM technologies, including developing generative and embedding techniques, modern model architectures, retrieval-augmented generation (RAG), fine tuning / pre-training LLM (including parameter efficient fine-tuning), Deep reinforcement learning and evaluation benchmarks Design aspects of real-time and batch ML models using embeddings, collaborative filtering, and deep learning. Optimize retrieval, filtering, and ranking algorithms in production search pipelines. Monitor model performance and continuously iterate using A/B testing and offline evaluation metrics Help shape aspect of MLOps and model governance Qualifications To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience 3+ years experience building ML-powered search or recommendation systems. Mentor and guide engineering teams, fostering a culture of technical excellence and innovation. Strong programming skills in Python, Java Working knowledge of ML frameworks like TensorFlow, PyTorch, Hands-on experience working on AI search (text, vector and hybrid search) Knowledge of embedding models, user/item vectorization, or session-based personalization. Experience with large-scale distributed systems (e.g., Spark, Kafka, Kubernetes). Hands-on experience with real-time ML systems. Background in NLP, graph neural networks, or sequence modeling. Experience with A/B testing frameworks and metrics like NDCG, MAP, or CTR. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

JOB DESCRIPTION Embark on a transformative journey with JPMorgan as we evolve into a technologically advanced, client-focused company. We're seeking top talent for our AI engineering team to integrate machine learning into our key products, working closely with our tech partners. This role, part of the Payments Trust & Safety Team, offers a unique opportunity to influence the financial services industry by developing impactful Machine Learning solutions. Join us in building next-gen technology that leverages JPMorgan's unique data and full-service advantage to create high-impact AI applications and platforms. As a Applied AI ML Lead within the Payments AI/ML team at JPMorgan, you will collaborate with all lines of business and functions to deliver software solutions. You will have the opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results. You will hire and lead a team of ML scientists as we set out to solve impactful business problems at JPMC. Job Responsibilities: Collaborate with all of JPMorgan’s lines of business and functions to delivery software solutions. Experiment, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact. Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result. Required qualifications, capabilities and skills: Formal training or certification on software engineering concepts and 5+ years applied experience MS or PhD and a degree in Computer Science, Statistics, Mathematics or Machine learning related field. Solid programming skills with Java, Python or other equivalent languages. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn. Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB. Strong analytical and critical thinking skills. Self-motivation, great communication skills and team player. Preferred qualifications, capabilities and skills : Cloud computing: Google Cloud, Amazon Web Service, Azure, Docker, Kubernetes. Experience in big data technologies: Hadoop, Hive, Spark, Kafka. Experience in distributed system design and development ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Job Title: AWS DevOps Engineer Location: Hyderabad, Ranchi Employment Type: Full-Time Experience: 4+ Years Department: Engineering / DevOps Job Overview: We are looking for an experienced AWS DevOps Engineer with a strong background in deploying and managing full-stack applications (Java, React, Angular, WordPress) and distributed/AI applications in production environments. You will architect and maintain scalable, secure, and automated DevOps pipelines and infrastructure for a range of technology stacks. Key Responsibilities: Design and maintain cloud-native infrastructure on AWS for Java-based backends, React/Angular frontends, WordPress sites, and AI/ML applications. Implement and maintain CI/CD pipelines for multi-language apps using Jenkins, GitHub Actions, GitLab CI, or AWS CodePipeline. Automate infrastructure provisioning using Terraform , CloudFormation , or similar IaC tools. Deploy and manage ElasticSearch clusters for logging, search, and analytics at scale. Set up and manage Dockerized and container-based workloads using ECS, EKS, or Fargate . Support AI/ML model deployment pipelines using S3, Lambda, SageMaker, or custom APIs. Optimize cloud usage and monitor performance, availability, and security across environments. Troubleshoot production issues, perform root cause analysis, and implement fixes. Work with development teams to implement DevOps best practices , enforce coding standards, and streamline delivery processes. Required Skills & Experience: 4+ years of hands-on DevOps experience with AWS cloud platform. Proven experience deploying and maintaining: Java Spring Boot applications React & Angular frontend apps WordPress (including plugins, themes, DB optimization) Distributed applications (microservices, APIs) ElasticSearch clusters in production AI/ML applications (TensorFlow, PyTorch, Hugging Face, or AWS SageMaker) Strong experience with CI/CD pipelines and version control (Git). Proficiency with Terraform , CloudFormation , or other IaC tools. Experience with containerization using Docker and orchestration via Kubernetes (EKS preferred) or ECS . Experience with Linux administration , shell scripting, and automation. Familiarity with monitoring & logging tools like CloudWatch, ELK Stack, Grafana, Prometheus, or DataDog. Nice to Have: AWS certifications (e.g., AWS Certified DevOps Engineer , Solutions Architect Associate ). Experience with CloudFront, WAF, Route 53 , and multi-region deployments . Familiarity with AI pipeline automation , model versioning, and MLOps practices. Experience managing WordPress multisite networks and headless WP setups. Understanding of security best practices , IAM policies , and compliance standards (e.g., GDPR, HIPAA). Soft Skills: Strong analytical, problem-solving, and debugging skills. Excellent communication and team collaboration skills. Ability to work independently, manage multiple projects, and meet tight deadlines. Passion for continuous improvement, automation, and DevOps culture. What We Offer: Competitive compensation and performance bonuses. Remote flexibility and flexible working hours. Opportunities for training, certifications, and attending conferences. Collaborative and tech-forward work environment. Health, dental, and wellness benefits. Job Type: Full-time Pay: ₹800,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Work Location: In person

Key Responsibilities  Lead the design, development, and deployment of AI/ML solutions with a focus on Generative AI and agentic AI models.  Manage and mentor a team of AI engineers, fostering a culture of innovation, collaboration, and continuous learning.  Develop and fine-tune ML models, including deep learning, NLP, reinforcement learning, and agent-based systems.  Work closely with clients to understand business needs, define AI strategies, and deliver custom AI-driven solutions.  Architect and implement scalable AI systems that integrate with enterprise applications.  Stay updated with state-of-the-art AI research, applying best practices to solve real- world business problems.  Drive participation in AI hackathons and industry challenges, fostering a team culture of innovation and experimentation.  Collaborate with product managers, software engineers, and data scientists to ensure seamless deployment and monitoring of AI solutions.  Present AI strategies and technical solutions to stakeholders, translating complex AI concepts into business value.  Ensure AI models are ethical, fair, and transparent, with proper governance in place. Required Qualifications  5+ years of experience in AI/ML development, with at least 2+ years in a leadership role.  Strong expertise in Generative AI (LLMs, diffusion models, transformers, etc.), agentic AI, and ML algorithms.  Proven track record of delivering AI solutions for clients, including hands-on experience in deploying models into production.  Experience with frameworks such as TensorFlow, PyTorch, LangChain, Hugging Face, OpenAI APIs, and other ML libraries.  Strong programming skills in Python, Java, or similar languages.  Familiarity with cloud-based AI/ML platforms (AWS, Azure, GCP) and MLOps practices.  Experience leading AI hackathons or similar innovation-driven initiatives.  Excellent problem-solving skills, with the ability to translate business needs into AI solutions.  Strong interpersonal and communication skills, with the ability to explain AI concepts to both technical and non-technical stakeholders.  Experience working in agile development environments. Job Type: Full-time Pay: ₹468,726.69 - ₹1,729,919.70 per year Schedule: Day shift Work Location: In person

Senior HPC/AI Applications Engineer Experienced HPC/AI Applications Engineer with 5+ years in High-performance computing and AI application deployment. Expert at architecting, optimizing, and benchmarking CPU/GPU-intensive environments, ensuring maximum efficiency in scientific and ML workloads. Mastery over Open-source and Commercial HPC/AI Applications. Deep experience installing, benchmarking, and fine-tuning open-source applications, libraries, and compilers across CPU and GPU platforms. Proficient deploying and optimizing and benchmarking scientific codes (WRF, OpenFOAM, LAMMPS, GROMACS, Quantum Espresso, VASP, NAMD, BLAST, GATK, Ansys, Abaqus, MATLAB, LS‑DYNA, Nastran, CAE/CFX) etc. Compiler & Library Optimization - Advanced user of Intel OneAPI, AOCC, NVIDIA HPC SDK, GNU, LLVM, PGI compilers, and MPI libraries (OpenMPI, MPICH, Intel MPI). Deep profiling insights via Nsight, VTune, PAPI. Expert in AI frameworks: TensorFlow (CPU/GPU), PyTorch, Keras, Theano, Caffe, cuDNN. Strong knowledge of NVIDIANGC, NIM & NeMo. Proficient with workload & resource managers (PBS, LSF, SLURM, Kubernetes). Knowledge of application installation tools source code, cmake, spack, easy build, mamba etc. Benchmarking experience in accelerated HPC: HPL, HPCG, STREAM and MLPerf and scientific applications. Skilled in NVIDIA GPU tuning, CUDA and NIM workflows, kernel optimization, memory throughput tuning, and multi-GPU scaling strategies. Knowledge of frameworks such as Hugging Face, OpenAI, or other GenAI platforms. Knowledge in data preprocessing and model evaluation tool. Fluent in Bash, Python, and other scripting languages to automate installation, deployment, performance testing, and administrative tasks. Strong interpersonal skills; versed in customer interaction, technical documentation, and collaboration with cross-functional teams.

Key Responsibilities Mentor and support students in our Data Science program (beginner to advanced levels) Provide guidance on projects, portfolios, and real-world problem-solving Host live sessions, office hours, and 1:1 support as needed Review and provide constructive feedback on code, models, and analyses Stay up to date with the latest tools, trends, and practices in data science What We’re Looking For: Strong foundation in Python, SQL, statistics, and machine learning Experience with tools like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹35,000.00 per month Benefits: Cell phone reimbursement Schedule: Day shift Supplemental Pay: Commission pay Performance bonus Work Location: In person

About this role: Wells Fargo is seeking a Senior Lead Business Execution Consultant. Shared Services Operations - Operational Excellence team is seeking an Applied Data Scientist with a strong data science background to deliver traditional AI and Generative AI solutions for driving operational efficiencies, improve internal and external customer experiences with the use of AI. The candidate needs to possess a mix of technical expertise, creative problem-solving skills, and the ability to align AI solutions with business needs. In this role, you will: Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly advanced AI and Generative AI solutions. Deliver solutions for short and long-term objectives and provide analytical support for a wide array of business initiatives. Utilize neural network architectures, including transformer-based models such as GPT, BERT, and others for driving operational efficiencies. Familiarity with using diffusion models or multimodal AI depending on the use cases. Hands-on experience with fine-tuning, training, and deploying large language models (LLMs) in on-premises, cloud or hybrid environments. Strong hold on tokenization, embeddings, and model evaluation metrics. Present results of analysis, solution recommendations and AI-driven strategies for variety of business initiatives. Required Qualifications: 7+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 7+ years of Data Science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, research and education. Bachelors/masters degree in a discipline such as Data Science, Computer Science, statistics, or mathematics. Expertise in Python and key/major frameworks like TensorFlow, PyTorch, and HuggingFace. Experience in using ML Ops tools (e.g., MLflow, Kubeflow) for scaling and deploying models in production. Experience working with on Google Cloud Platform and expertise in using the GCP services. Expertise in Scala for processing large-scale data sets for use cases. Proficiency in Java, JavaScript (Node.js) for back-end integrations and for building interactive AI-based web applications or APIs. Experience with SQL and NoSQL languages for managing structured, unstructured, and semi-structured data for AI and Generative AI applications. Critical thinking and strong problem-solving skills. Ability to learn the latest technologies and keep up with the trends in the Gen-AI space and apply to the business problems quickly. Ability to multi-task and prioritize between projects and able to work independently and as part of a team. Graduate degree from a top tier university (e.g., IIT, ISI, IIIT, IIM, etc.,) is preferred. Job Expectations: Required to work individually or as part of a team on multiple AI and Generative AI projects and work closely with business partners across the organization. Mentor and coach budding Data Scientists on developing and implementing AI solutions. Perform various complex activities related to neural networks and transformer-based models. Provide analytical support for developing, evaluating, implementing, monitoring, and executing models across business verticals using emerging technologies. Expert knowledge on working on large datasets using SQL or NoSQL and present conclusions to key stakeholders. Establish a consistent and collaborative framework with the business and act as a primary point of contact in delivering the solutions. Experience in building quick prototypes to check feasibility and value to business. Expert in developing and maintaining modular codebase for reusability. Review and validate models and help improve the performance of the model under the preview of regulatory requirements. Work closely with technology teams to deploy the models to production. Prepare detailed documentations for projects for both internal and external use that comply with regulatory and internal audit requirements.

Key Responsibilities Global AI Delivery & Architecture  Lead the development of advanced AI/ML solutions in clinical NLP, radiology AI, predictive analytics, process automation, and AI-enhanced decision support systems.  Architect and optimize LLM-based solutions (GPT-4, Gemini, Med-PaLM, Claude) forhealthcare and enterprise environments.  Design and deploy Retrieval-Augmented Generation (RAG) pipelines to power intelligentdiagnostics, enterprise knowledge systems, and contextual automation. Productization & Intelligent System Development  Build and scale AI co-pilots, virtual assistants, and conversational AI tools to improve global patient engagement and enterprise workflow efficiency.  Implement vector database solutions (FAISS, Pinecone, Weaviate) for real-time documentretrieval and intelligent search.  Use MLOps frameworks and cloud-native AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI, Hugging Face Hub) to deploy AI solutions securely and at scale.Ethics, Compliance & Cross-functional Execution  Ensure global compliance with HIPAA, GDPR, and FDA AI/ML regulatory standards.  Embed explainability, fairness, and ethical governance into AI workflows and product decisions.  Collaborate with international stakeholders across clinical, engineering, product, and delivery teams to align technology solutions with evolving market needs. Required Qualifications  12+ years of AI/ML experience with at least 5 years in global leadership or AI architecture roles.  Proven expertise in GenAI, LLMs, and intelligent automation across healthcare and enterprise use cases.  Advanced programming proficiency in Python with strong experience in Hugging Face,LangChain, LlamaIndex, PyTorch, TensorFlow, or JAX.  Demonstrated success in LLM fine-tuning, prompt engineering, and production-level MLOps delivery.  Strong capability to lead multi-disciplinary AI teams and drive productization efforts in global delivery models. Job Type: Full-time Pay: ₹924,661.80 - ₹2,263,286.14 per year Work Location: In person

Job description Core Responsibilities Project Leadership: Own the end-to-end lifecycle of AI/ML projects—from scoping and prototyping to deployment and monitoring. Team Management: Lead, mentor, and grow a team of ML engineers, data scientists, and researchers. Model Development: Design, train, and evaluate machine learning and deep learning models for predictive analytics, NLP, CV, recommendation systems, etc. MLOps: Oversee model deployment, versioning, monitoring, and continuous training in production environments. Cross-Functional Collaboration: Work closely with data engineers, software developers, product managers, and business stakeholders. Research & Innovation: Evaluate cutting-edge AI/ML research and integrate suitable technologies into company products and platforms. Compliance & Ethics: Ensure responsible AI practices, addressing fairness, bias, interpretability, and compliance requirements. Technical Skills Programming: Expert in Python (NumPy, pandas, scikit-learn), and familiar with C++, R, or Java if needed. Frameworks: TensorFlow, PyTorch, Keras, Hugging Face Transformers. Data Tools: SQL, Spark, Kafka, Airflow. Cloud & DevOps: AWS/GCP/Azure, Docker, Kubernetes, MLflow, SageMaker, Vertex AI. Techniques: Supervised/unsupervised learning, deep learning, NLP, computer vision, reinforcement learning. MLOps: CI/CD for ML, monitoring (Prometheus, Grafana), feature stores, model drift detection. Typical Background 5+ years experience in AI/ML development. 2+ years in a leadership or team lead role. Job Type: Full-time Benefits: Provident Fund Location Type: In-person Schedule: Day shift Monday to Friday Morning shift Work Location: In person Speak with the employer +91 8146237069 Application Deadline: 05/07/2025

Key Responsibilities  Develop AI/ML models for use cases in clinical NLP, medical imaging, RAG-based knowledge systems, and enterprise automation.  Fine-tune and customize LLMs (GPT-4, LLaMA, Gemini, Claude, Med-PaLM) for real-world applications in healthcare and enterprise AI.  Build intelligent workflows using LangChain, LlamaIndex, and vector databases like FAISS or Weaviate.  Work with MLOps tools and cloud platforms (AWS, GCP, Azure) to deploy AI models at scale.  Collaborate with cross-functional teams across product, engineering, and clinical/enterprise domains.  Keep up with evolving AI trends (multi-modal AI, prompt engineering, explainable AI) and contribute to internal R&D. Required Qualifications  5–8 years of hands-on experience in AI/ML.  Proficiency in Python and experience with frameworks such as Hugging Face Transformers, PyTorch, TensorFlow, LangChain, or similar.  Solid understanding of prompt engineering, LLM tuning, and knowledge graph-based AI systems.  Experience in deploying models on cloud infrastructure with MLOps pipelines.  Strong analytical and problem-solving skills, with a product mindset. Preferred Skills  Exposure to healthcare-specific AI or enterprise AI products.  Experience with AutoML or low-code AI platforms.  Knowledge of regulatory-aware development (HIPAA, GDPR, etc.) is a plus.  Contributions to GitHub, research papers, or AI communities. Job Type: Full-time Pay: ₹470,055.70 - ₹1,802,377.71 per year Work Location: In person