207 Vertex Ai Jobs

As a GCP Python Gen AI LLM RAG Vertex AI at NTT DATA in Hyderabad, Telangana, India, you will be responsible for working with cutting-edge technologies and contributing to innovative projects. Your role will involve the following key responsibilities: - 4+ years of Software Engineering experience with a strong foundation demonstrated through work experience, training, military experience, or education. - 2+ years of hands-on experience working with GCP (Google Cloud Platform) or alternate public/hybrid cloud services, showcasing a track record of delivering products at scale. - Proficiency in Python with a minimum of 2 years of experience. - Expertise in GenAI, LLMs, RAG, vector databases, and conversational bots, with at least 3 years of hands-on experience. - Familiarity with Playbooks and Vertex AI, with a minimum of 1 year of experience in each. - Exposure to ADK and Voice AI technologies. - Desirable experience in LangChain and/or LangGraph. - 4+ years of Contact Center industry experience covering design, development, testing, integration with vendors, CRMs, and business applications, especially in sub-domains like IVR/IVA, NLU/NLP, Real Time Omni channel Agent experience, and customer journey optimization using AI/ML. - Proficiency in Node JS, JAVA, Spring Boot, Kafka, Distributed Caches (GemFire, Redis), Elastic Search technologies, GraphQL, NoSQL Databases (Cassandra or Mongo), Graph Databases, and Public Cloud Marketplace services. - 2+ years of experience in Deep Domain Driven Design with cloud-native Microservices designed for massive scale and seamless resiliency, deployed on PCF/VMWare Tanzu, K8s, or Serverless cloud technologies. Additionally, NTT DATA is a $30 billion global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA has a diverse team of experts in more than 50 countries and a robust partner ecosystem. The company offers services in business and technology consulting, data and artificial intelligence, industry solutions, and the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is a leading provider of digital and AI infrastructure worldwide, committed to helping organizations and society transition confidently and sustainably into the digital future. Visit us at us.nttdata.com.,

Job Title: Principal Data Scientist Location: Noida Employment Type: Full-time Responsibilities: Convert broad vision and concepts into a structured data science roadmap and guide a team to successfully execute on it Collaborate with AI Product managers, UI/UX, stakeholders, etc. to design, develop, and deploy AI/LLM models Good in fine-tuning, and optimization of LLMs like Open AI, Gemini AI, Copilot, and open-source models like LLAMA, DeepSeek, and BERT Hands-on experience in Prompt Engineering and RAG for real-world applications Develop Conversational AI, ChatBots, VoiceBots using modern NLP frameworks like SpaCy, Rasa, LangChain, Hugging Face Use vector databases like Pinecone, Vertex AI, ChromaDB, or SingleStore to manage embeddings at scale Deploy and monitor models on cloud platforms like Azure and GCP Lead client engagements, RFP responses generation, and PoC development for both internal and external stakeholders Provide technical guidance, code reviews, and performance optimization support Expertise in designing solutions using semantic search and vector embeddings Translate high-level business goals into measurable, AI-powered deliverables Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Contribute to internal product development initiatives related to data science. Drive excellent project management skills required to deliver complex projects, including effort/time estimation Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy Qualifications: A B.Tech / M.Tech / MBA from a top tier Institute preferably in a quantitative subject 10+ years of hands-on experience in applied Machine Learning, AI and analytics Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) Expertise in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. Strong expertise in Machine Learning, Deep Learning, Data mining, and Statistical concepts and experience in developing models and solutions in these areas Expertise in client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Strong publication record in top-tier journals and conferences. Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Experience developing software in traditional programming languages (C++, Java, etc..). Excellent written and spoken communication skills About Us E-Solutions is a leading AI consulting firm delivering cutting-edge solutions across recruitment & staffing, IT services, finance, retail, education, and manufacturing. We specialize in building advanced AI/ML products including large-scale recommender systems, LLM-based chatbots, AI-powered resume engines, GenAI copilots, and enterprise-wide automation systems. As part of our growing AI leadership team, we are looking for a Principal Data Scientist who can architect, lead, and implement end-to-end AI/ML solutions using the latest in Generative AI, LLMs, Vector Databases, and NLP frameworks. Reimagine the Future of IT Consulting & Development with ML, GenAI, & Agentic AI At E-Solutions, we empower global businesses by enhancing their IT infrastructure and software capabilities. Over two decades, weve grown into a trusted global partner, operating in 35+ countries with a team of 5,000+ professionals. Our expertise in Managed IT Services and Software Product Engineering, combined with robust testing, cloud solutions and AI/ML/Gen AI in NLP & Computer Vision domains ensures that the enterprise thrives in a competitive digital landscape. E-Solutions has achieved significant success in implementing ML/GenAI/Agentic AI projects like AI enabled matching of professionals profiles based on customer requirements, Agentic AI based end-to-end recruitment platform which will process & summarize customer requirements and AI agent will conduct online interviews and have efficient assessment to retrieve relevant profiles, Conversational AI Engine, Detecting Suspicious Behaviour during interviews etc. Simultaneously, the company successfully executed mergers and acquisitions, driving significant growth and expansion and embarking on a transformative digital journey. Join us to be the part of this innovative journey to build cutting-edge advance Agentic AI platform to deliver AI/ML/GenAI use cases across industries. Show more Show less

Job Title: Lead Data Scientist Location: Noida Employment Type: Full-time Responsibilities: Lead and manage a team of data scientists, providing guidance, mentorship, and technical expertise Collaborate with stakeholders to understand business objectives and develop data science strategies aligned with those objectives Design, develop, and implement advanced machine learning and statistical models to solve complex business problems. Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. Good in fine-tuning, and optimization of LLMs like Open AI, Gemini AI, Copilot, and open-source models like LLAMA, DeepSeek, and BERT Hands-on experience in Prompt Engineering and RAG for real-world applications Develop Conversational AI, ChatBots, VoiceBots using modern NLP frameworks like SpaCy, Rasa, LangChain, Hugging Face Use vector databases like Pinecone, Vertex AI, ChromaDB, or SingleStore to manage embeddings at scale Deploy and monitor models on cloud platforms like Azure and GCP Lead client engagements, RFP responses generation, and PoC development for both internal and external stakeholders Provide technical guidance, code reviews, and performance optimization support Explore and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets. Develop predictive/prescriptive models, algorithms, and prototypes to support business. Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations. Play an active role in software development processes. Stay up to date with the latest trends and advancements in data science, machine learning, and AI technologies and identify opportunities to apply them to improve business outcomes. Qualifications: A B.Tech / M.Tech / MBA from a top tier Institute preferably in a quantitative subject 5+ years of hands-on experience in applied Machine Learning, AI and analytics with a proven track record of developing AI/LLM models and algorithms A masters or bachelors degree in data science, Computer Science, Statistics, or a related field Strong programming skills in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) Expertise in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. Strong expertise in Machine Learning, Deep Learning, Data mining, and Statistical concepts and experience in developing models and solutions in these areas Expertise in client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Strong publication record in top-tier journals and conferences. Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Experience developing software in traditional programming languages (C++, Java, etc..). Excellent written and spoken communication skills About Us E-Solutions is a leading AI consulting firm delivering cutting-edge solutions across recruitment & staffing, IT services, finance, retail, education, and manufacturing. We specialize in building advanced AI/ML products including large-scale recommender systems, LLM-based chatbots, AI-powered resume engines, GenAI copilots, and enterprise-wide automation systems. As part of our growing AI leadership team, we are looking for a Principal Data Scientist who can architect, lead, and implement end-to-end AI/ML solutions using the latest in Generative AI, LLMs, Vector Databases, and NLP frameworks. Reimagine the Future of IT Consulting & Development with ML, GenAI, & Agentic AI At E-Solutions, we empower global businesses by enhancing their IT infrastructure and software capabilities. Over two decades, weve grown into a trusted global partner, operating in 35+ countries with a team of 5,000+ professionals. Our expertise in Managed IT Services and Software Product Engineering, combined with robust testing, cloud solutions and AI/ML/Gen AI in NLP & Computer Vision domains ensures that the enterprise thrives in a competitive digital landscape. E-Solutions has achieved significant success in implementing ML/GenAI/Agentic AI projects like AI enabled matching of professionals profiles based on customer requirements, Agentic AI based end-to-end recruitment platform which will process & summarize customer requirements and AI agent will conduct online interviews and have efficient assessment to retrieve relevant profiles, Conversational AI Engine, Detecting Suspicious Behaviour during interviews etc. Simultaneously, the company successfully executed mergers and acquisitions, driving significant growth and expansion and embarking on a transformative digital journey. Join us to be the part of this innovative journey to build cutting-edge advance Agentic AI platform to deliver AI/ML/GenAI use cases across industries. Show more Show less

As a highly skilled MLOps Engineer at UPS, you will design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). Your responsibilities will include automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems. You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure. Your role will involve collaborating with technical teams and business stakeholders to develop cutting-edge machine learning systems that add value to the business. Responsibilities: - Managing the deployment and maintenance of machine learning models in production environments and ensuring seamless integration with existing systems. - Monitoring model performance using metrics such as accuracy, precision, recall, and F1 score, and addressing issues like performance degradation, drift, or bias. - Troubleshooting and resolving problems, maintaining documentation, and managing model versions for audit and rollback. - Analyzing monitoring data to preemptively identify potential issues and providing regular performance reports to stakeholders. - Optimization of queries and pipelines. - Modernization of applications whenever required. Qualifications: - Expertise in programming languages like Python, SQL. - Solid understanding of best MLOps practices and concepts for deploying enterprise-level ML systems. - Understanding of Machine Learning concepts, models, and algorithms including traditional regression, clustering models, and neural networks (including deep learning, transformers, etc.). - Understanding of model evaluation metrics, model monitoring tools, and practices. - Experience with GCP tools like BigQueryML, MLOPS, Vertex AI Pipelines (Kubeflow Pipelines on GCP), Model Versioning & Registry, Cloud Monitoring, Kubernetes, etc. - Solid oral and written communication skills and ability to prepare detailed technical documentation of new and existing applications. - Strong ownership and collaborative qualities in their domain. Takes initiative to identify and drive opportunities for improvement and process streamlining. - Bachelor's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications: - Experience in Azure MLOPS. - Familiarity with Cloud Billing. - Experience in setting up or supporting NLP, Gen AI, LLM applications with MLOps features. - Experience working in an Agile environment, understanding of Lean Agile principles. UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.,

Job Description: You will be responsible for leading the configuration, maintenance, and optimization of the organization's network and security infrastructure to ensure high performance and reliability. Your key responsibilities will include: - Architecting and integrating networks across multiple business units and diverse cloud environments, ensuring seamless connectivity and scalability. - Championing the use of Infrastructure as Code processes to automate and maintain infrastructure consistency, scalability, and up-to-date configurations. - Overseeing the configuration, deployment, and management of F5 Local Traffic Managers (LTMs) and Advanced Security Modules (ASMs) to ensure seamless application delivery and security. - Creating and implementing strategies for integrating cloud Virtual Private Clouds (VPCs), interconnects, and direct connects, ensuring efficient and secure data flow between on-premises and cloud environments. - Proactively identifying opportunities to enhance the network's scalability and resilience, ensuring it can handle growing business demands and traffic loads. - Working closely with infrastructure, application, and security teams to ensure network designs meet cross-functional requirements and adhere to best practices. Qualifications Required: - Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience. Company Details: Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do and they push us to ensure we take care of ourselves, each other, and our communities. If you want to learn more about our culture and community, you can visit https://about.pypl.com/who-we-are/default.aspx.,

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: Design, develop, and deploy machine learning models using GCP services such as AI Platform, BigQuery ML, Vertex AI, TensorFlow, and AutoML. Build and optimize scalable pipelines for data collection, preprocessing, and feature engineering. Collaborate with data engineers to design ETL pipelines and manage large datasets on GCP. Develop custom machine learning models tailored to business needs, including supervised, unsupervised, and reinforcement learning algorithms. Integrate AI/ML models into cloud applications and ensure seamless operation in production environments. Work closely with software engineers to embed AI/ML models into applications and products, ensuring best practices for CI/CD in ML. Conduct research to stay up-to-date with the latest AI/ML techniques and apply them to business use cases. Job Description: Essential Responsibilities: Lead the configuration, maintenance, and optimization of the organization's network and security infrastructure to ensure high performance and reliability. Architect and integrate networks across multiple business units and diverse cloud environments, ensuring seamless connectivity and scalability. Champion the use of Infrastructure as Code processes to automate and maintain infrastructure consistency, scalability, and up-to-date configurations. Oversee the configuration, deployment, and management of F5 Local Traffic Managers (LTMs) and Advanced Security Modules (ASMs) to ensure seamless application delivery and security. Create and implement strategies for integrating cloud Virtual Private Clouds (VPCs), interconnects, and direct connects, ensuring efficient and secure data flow between on-premises and cloud environments. Proactively identify opportunities to enhance the network's scalability and resilience, ensuring it can handle growing business demands and traffic loads. Work closely with infrastructure, application, and security teams to ensure network designs meet cross-functional requirements and adhere to best practices. Minimum Qualifications: Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience. Preferred Qualification: Master's degree or higher in Computer Science, Mathematics, or related field with keen interest in Machine Learning and AI Proven experience in developing and implementing solutions in machine learning and AI-related spaces Strong programming skills in languages such as Python, Java, or C++ In-depth knowledge of machine learning frameworks and libraries for analytics and text processing (e.g., TensorFlow, PyTorch) Experience with cloud services related to machine learning (Vertex AI, etc.) Excellent problem-solving skills and the ability to work in a fast-paced environment Strong communication skills to effectively collaborate with team members and stakeholders Strong knowledge of algorithms, statistics, data structures, distributed systems, and software engineering best practices Proven experience leading and delivering complex ML projects at production scale Experience integrating ML solutions into cloud environments (e.g., AWS, Azure, GCP) is highly desirable Perform model tuning, evaluation, and monitoring for performance and accuracy improvements. Provide mentorship and guidance to junior developers and contribute to code reviews, technical design sessions, and project planning. Ensure security, scalability, and performance of ML models deployed in production. Subsidiary: PayPal Travel Percent: 0 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit . For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit . Who We Are: to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

As a Platform Development and Machine Learning expert at Adobe, you will play a crucial role in changing the world through digital experiences by building scalable AI platforms and designing ML pipelines. Your responsibilities will include: - Building scalable AI platforms that are customer-facing and evangelizing the platform with customers and internal stakeholders. - Ensuring platform scalability, reliability, and performance to meet business needs. - Designing ML pipelines for experiment management, model management, feature management, and model retraining. - Implementing A/B testing of models and designing APIs for model inferencing at scale. - Demonstrating proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI. - Serving as a subject matter expert in LLM serving paradigms and possessing deep knowledge of GPU architectures. - Expertise in distributed training and serving of large language models and proficiency in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM. - Demonstrating proven expertise in model fine-tuning and optimization techniques to achieve better latencies and accuracies in model results. - Reducing training and resource requirements for fine-tuning LLM and LVM models. - Having extensive knowledge of different LLM models and providing insights on the applicability of each model based on use cases. - Delivering end-to-end solutions from engineering to production for specific customer use cases. - Showcasing proficiency in DevOps and LLMOps practices, including knowledge in Kubernetes, Docker, and container orchestration. - Deep understanding of LLM orchestration frameworks like Flowise, Langflow, and Langgraph. Your skills matrix should include expertise in LLM such as Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama, LLM Ops such as ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI, Databases/Datawarehouse like DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery, Cloud Knowledge of AWS/Azure/GCP, Dev Ops knowledge in Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus, and Cloud Certifications (Bonus) in AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert. Proficiency in Python, SQL, and Javascript is also required. Adobe is committed to creating exceptional employee experiences and values diversity. If you require accommodations to navigate the website or complete the application process, please contact accommodations@adobe.com or call (408) 536-3015.,

Roles and Responsibilities: Lead end-to-end delivery of GenAI projects from initiation through deployment. Translate technical requirements into project plans, timelines, and deliverables. Collaborate with AI/ML teams to scope model development, data collection, training, and evaluation phases. Identify project risks, develop mitigation plans, and ensure adherence to best practices in AI ethics and governance. Act as a liaison between technical teams and non-technical stakeholders, ensuring alignment and clarity on project goals. Drive Agile or hybrid methodologies, including sprint planning, backlog grooming, and daily stand-ups. Monitor project KPIs and success metrics related to model performance, usability, and business impact. Manage external vendors or partners contributing to AI initiatives. Qualifications: Bachelor's degree in Computer Science, Engineering, AI, or related field (Master's preferred). 5+ years of experience in project management, with at least 1-2 years in AI/ML or data science-related environments. Strong understanding of Generative AI concepts (e.g., LLMs like GPT, DALL.E, diffusion models, fine-tuning, prompt engineering). Familiarity with AI lifecycle tools and platforms (e.g., Hugging Face, LangChain, MLflow, Vertex AI, etc.). Proven track record in delivering complex, multi-disciplinary projects on time and within scope.

You are an accomplished professional with 6-10 years of experience in modeling and analytics, seeking to drive growth by integrating analytics into end-to-end business solutions. Your role will involve translating data-driven results into business-focused deliverables, enabling decision-making and shaping the future of rural finance lending. Your expertise will be crucial in analyzing large datasets to identify trends, patterns, and correlations related to loan performance, customer behavior, and market dynamics. You will develop and maintain predictive models to assess credit risk, predict default probabilities, and optimize loan approval & collection processes. Collaborating with product development teams, you will design and launch micro loan products such as Gold Loan, Business Loan, and Rural Loan against Property. Ad-hoc analyses to support strategic initiatives and provide actionable insights to improve underwriting criteria, loan origination processes, and customer targeting strategies will be part of your responsibilities. To excel in this role, you must stay up to date with industry trends, best practices, and regulatory changes impacting rural business lending. Collaborating with IT and data engineering teams is essential to ensure data quality, integrity, and accessibility. Leading the development of model methodologies, algorithms, and diagnostic tools for testing model robustness, sensitivity, and stability will also be a key aspect of your role. Desired Skills & Experience: - 6-10 years of experience with R, Python, PL/SQL (preferably MS SQL Server). - Prior experience in the BFSI domain (Indian Banks / NBFCs) is advantageous. - Good understanding of Microfinance Credit Bureau data. - Proficiency in statistics and analytics tools such as R, Python, and SAS. - Familiarity with relational databases and intermediate SQL. - Ability to synthesize unstructured data and extract insights using SAS/Python/R. - Experience with Google Cloud Platform, BigQuery, Vertex AI is a plus. - Strong problem-solving skills connecting business requirements to data-driven solutions. - Knowledge in areas like Logistic Regression, Linear Regression, Stochastic Models, Bayesian Modeling, Classification, Clustering, Neural Networks, Non-parametric Methods, and Multivariate Statistics. Join this role to work on real-world challenges in both rural and urban India, shaping financial inclusion for millions of customers. Gain hands-on exposure to AI, Machine Learning, NLP, Computer Vision, Customer Segmentation, Time Series Analysis, and more using cutting-edge tools like R, Python, Vertex AI, and cloud-native analytics platforms. Be part of a high-performing analytics function recognized in the industry for innovation, technology adoption, and data-driven business transformation.,

This role provides you with the opportunity to utilize your cloud-native deployment expertise and experience in modern AI platforms to develop scalable ML pipelines, LLM-based applications, and intelligent agent frameworks. You will be instrumental in hastening the delivery of innovative solutions for telecom, enterprise, and next-generation autonomous networks. If you enjoy a challenging and fulfilling work environment, we invite you to apply. Your Responsibilities and Learning Opportunities: - Implement MLOps best practices for CI/CD, model deployment, and monitoring. - Focus on fine-tuning, prompt engineering, RAG pipelines, and LLM monitoring. - Enhance AI/ML systems with Agentic AI frameworks for autonomous decision-making and workflow automation. - Manage structured, semi-structured, and unstructured data through ingestion, preprocessing, and feature engineering. - Collaborate with cross-functional teams to convert use cases into production-ready deployments. - Utilize platforms such as GCP (Vertex AI), RedHat OpenShift AI, and Kubeflow in multi-cloud/hybrid environments. Key Skills and Experience: You should possess: - Bachelor's/Master's degree in computer science, Data Engineering, AI/ML, or a related field. - Over 10 years of experience in AI/ML engineering, with a focus of at least 5 years on MLOps. - Proficiency in Python, PyTorch, TensorFlow, Scikit-learn, and SQL. - Experience with MLOps pipelines like Kubeflow, MLflow, and Vertex AI. Desired Skills: It would be beneficial if you also had: - Experience with Ab-initio data management platforms. - Familiarity with telecom data products and autonomous networks. - Knowledge of vector databases and retrieval-augmented generation (RAG). - Contributions to open-source AI/ML or GenAI frameworks. About Us: Nokia is dedicated to fostering innovation and technology leadership in mobile, fixed, and cloud networks. A career with us will positively impact people's lives and contribute to building the capabilities necessary for a more productive, sustainable, and inclusive world. We strive to cultivate an inclusive work environment where new ideas are welcomed, risks are encouraged, and authenticity is valued. What We Offer: At Nokia, you will have access to continuous learning opportunities, well-being programs to support your mental and physical health, participation in employee resource groups, mentorship programs, and collaboration with highly diverse teams in an inclusive culture where individuals thrive and are empowered. Nokia is committed to inclusion and is an equal opportunity employer. Recognition: Nokia has been recognized for its commitment to inclusion and equality by: - Being named one of the World's Most Ethical Companies by Ethisphere. - Inclusion in the Gender-Equality Index by Bloomberg. - Workplace Pride Global Benchmark. Join us and become a part of a company where you will feel included and empowered to achieve success. About The Team: As the growth engine of Nokia, we add value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our team, consisting of dreamers, doers, and disruptors, continuously push boundaries from impossible to possible.,

About Chargebee: Chargebee is a subscription billing and revenue management platform powering some of the fastest-growing brands around the world today, including Calendly, Hopin, Pret-a-Manger, Freshworks, Okta, Study.com and others. Thousands of SaaS and subscription-first businesses process over billions of dollars in revenue every year through the Chargebee platform. Headquartered in San Francisco, USA, our 500+ team members work remotely throughout the world, including India, the Netherlands, Paris, Spain, Australia, and the USA. Chargebee has raised over $480 million in capital and is funded by Accel, Tiger Global, Insight Partners, Steadview Capital, and Sapphire Ventures. And were on a mission to push the boundaries of subscription revenue operations. Not just ours, but every customer and prospective business on a recurring revenue model. Our team builds high-quality and innovative software to enable our customers to grow their revenues powered by the state-of-the-art subscription management platform. Key Roles & Responsibilities Productionise ML workflows : build and maintain data pipelines for feature generation, ML model training, batch scoring, and real?time inference using modern orchestration and container frameworks. Own model serving infrastructure : implement fast, reliable APIs / batch jobs; manage autoscaling, versioning, and rollback strategies Feature?store development : design and operate feature stores and corresponding data pipelines to guarantee trainingserving consistency. CI/CD & DevEx : automate testing, deployment, and monitoring of data and model artefacts; provide templated repos and documentation that let data scientists move from notebook to prod quickly. Observability & quality : instrument data?drift, concept?drift, and performance metrics; set up alerting dashboards to ensure model health. Collaboration & review : work closely with data scientists on model experimentation, production?harden their code, review PRs, and evangelise MLOps best practices across the organisation. Required Skills & Experience 3+ years as a ML / Data Engineer working on large-scale, data-intensive systems in cloud environments (AWS, GCP, or Azure), with proven experience partnering closely with ML teams to deploy models at scale. Proficient in Python plus one of Go / Java / Scala; strong software?engineering fundamentals (testing, design patterns, code review). Hands on experience in Spark and familiarity with streaming frameworks (Kafka, Flink, Spark Structured Streaming) Hands-on experience with workflow orchestrators (Airflow, Dagster, Kubeflow Pipelines, etc.) and container platforms (Docker + Kubernetes/EKS/ECS). Practical knowledge of ML algorithms like XGBoost, LightGBM, transformers and deep learning frameworks like pytorch is preferred Experience with experiment?tracking / ML model?management tools (MLflow, SageMaker, Vertex AI, Weights & Biases) is a plus Benefits: Want to know what it means to work for a company that genuinely cares about you Check out just a few of the benefits we give our employees: We are Globally Local With a diverse team across four continents, and customers in over 60 countries, you get to work closely with a global perspective right from your own neighborhood. We value Curiosity We believe the next great idea might just be around the corner. Perhaps its that random thought you had ten minutes ago. We believe in creating an ecosystem that fosters a desire to seek out hard questions, and then figure out answers to them. Customer! Customer! Customer! Everything we do is driven towards enabling our customers growth. This means no matter what you do, you will always be adding real value to a real business problem. Its a lot of responsibility, but also a lot of fun. If you resonate with Chargebee, have a monstrous appetite for curiosity, and an insatiable urge to learn and build new things, were waiting for you! We value people from all backgrounds and are dedicated to hiring and employing a diverse and inclusive workplace. Come be a part of the Chargebee tribe! Show more Show less

About the Role: Wells Fargo is seeking a Lead Software Engineer. In this role, you will: Lead complex technology initiatives including those that are companywide with broad impact Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines Design, code, test, debug, and document for projects and programs Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals Lead projects, teams, or serve as a peer mentor Required Qualifications: 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 5+ years experience in backend application software development, with strong programming experience on Python and NoSQL database MongoDB In depth experience of python framework and tools such as NumPy, Pandas, pyMongo. Design, develop, and maintain backend services using Flask/FastAPI. Design, develop, and deploy microservices using Python. Implement event-driven architecture and use messaging queues such as Kafka, RabbitMQ or ActiveMQ for asynchronous processing. Write complex MongoDB queries and perform data aggregation. Experience with MongoDB for database management and data retrieval. Experience on GenAI enabled solutions, Retrieval-Augmented Generation (RAG), prompt engineering and agentic workflows. Understanding of Cloud principles and experience on developing application hosted on cloud environment. Experience with OCP (OpenShift Container Platform) is preferred Ensure efficient multithreading and concurrency in backend processes. Design and implement secure REST APIs for consumption by a React application. Consume services provided by interface systems Experience on automated unit testing framework Pytest, magicmock Experience with CI/CD technologies such as Gradle, Jenkins, GitHub, Artifactory, Harness, Sonar, open shift/Kubernetes, Docker etc. Implement security measures to protect API endpoints. Understanding of high availability, scalability, and resilience in software systems Experience on agile software development lifecycle. Object oriented design and analysis, programming styles and design patterns. Capable of reasoning and thinking through problems and developing desired solutions, independently or with others as required Capable of leading development team and mentor team members on solution design and implementation Strong problem-solving and analytical skills Good written and verbal communication Ability to understand team dynamics and use interpersonal skills and personal judgment to achieve goals Experience with GCP services, particularly Vertex AI, Document AI. Experience with Langchain, LangGraph Understanding of machine learning concepts Familiarity with Google cloud AI tools like gemini LLM and gecko Understanding of Banking/Lending domain to lead solution development of Artificial Intelligence (AI) enabled applications in Commercial Lending business area. Lead Software Engineer should have excellent design, hands on development & technical skills along with good interpersonal skills, capable of leading and working on business-critical application. Job expectations: We are seeking a Senior Python Developer with a strong background in building scalable, resilient, and highly available microservices Gen AI enabled application. The candidate should have extensive experience in developing microservices based enterprise application, event-driven apps, and using NoSQL DB - MongoDB. Team member will work with Wells Fargo India and onshore partners and implement the required solutions. Build Large Language Model (LLM) powered applications that support powerful capabilities for internal Wells Fargo users, with a focus on agentic workflows, prompt engineering, evaluations, and safety guardrails. Build systems utilizing Large Language Models (LLM) involving data ingestion pipelines, reliable service orchestration, backend application state management, and data layer implementation. Design, code, test, and document solutions that align with business goals. Collaborate and consult with key technical experts and technology teams to resolve complex technical issues and achieve goals. Participate effectively in the entire software development life cycle Responsible for application development, maintenance, and security requirements Collaborate with US partners for requirement understanding and solution discussions Collaborate with Product Team, Scrum Master, Developers, QA and any other stakeholders as needed Posting End Date: 12 Sep 2025 We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

We are seeking a highly experienced and innovative First Responder AI Expert with 3-8 years of experience to lead the development of AI agents designed for instant, context-aware responses. This role is a blend of AI engineering, natural language processing (NLP), and deep domain knowledge of business operations. The ideal candidate will be responsible for creating, deploying, and optimizing AI agents that act as a "first responder" to various queries and eventsfrom a customer's support request to an internal employee's question about HR policies or a sales team's need for real-time data. You will be instrumental in automating support, knowledge access, and operational workflows across the organization. Key Responsibilities: End-to-End Agent Development: Design, develop, and deploy conversational and autonomous AI agents that can triage, answer, and resolve user requests in real-time. Leverage and fine-tune large language models (LLMs) and other generative AI technologies to build highly effective "first responder" applications. Implement robust RAG (Retrieval Augmented Generation) systems to ground agent responses in accurate, up-to-date, and proprietary organizational data. Workflow Automation: Integrate AI agents with internal business systems (e.g., Slack, Jira, Salesforce, CRM, ERP) using APIs to enable autonomous actions like creating tickets, updating records, or providing status updates. Design and implement agentic workflows that can handle multi-step processes and hand-off tasks to human operators seamlessly when necessary. Prompt Engineering & Agent Design: Develop and optimize sophisticated prompt engineering strategies to ensure agents provide accurate, relevant, and contextually appropriate responses. Design agent personas and interaction models that align with business needs and provide a positive user experience. Data & Knowledge Management : Collaborate with data and content owners to identify, ingest, and manage knowledge bases and data sources essential for agent functionality. Implement strategies for continuous learning and retraining of agents based on user interactions and new data. Performance Monitoring & Optimization: Establish key performance indicators (KPIs) for agent success, such as resolution rate, response time, and user satisfaction. Develop monitoring systems to track agent performance, identify areas for improvement, and mitigate potential issues like "hallucinations" or biased responses. Collaboration & Leadership: Act as a subject matter expert on "first responder" AI solutions, providing technical guidance to cross-functional teams. Work closely with product managers and business stakeholders to identify high-impact use cases and define agent capabilities. Mentor and guide junior engineers in the best practices of agent development. Required Qualifications: Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: 3-8 years of professional experience in an AI Engineer, NLP Engineer, or similar role, with a proven track record of deploying conversational or agentic AI solutions to production. Programming: Strong proficiency in Python is non-negotiable. NLP & Generative AI Expertise: Deep, hands-on experience with NLP techniques, including intent recognition, entity extraction, and sentiment analysis. Extensive experience with Large Language Models (LLMs) and fine-tuning using frameworks like Hugging Face Transformers. Practical experience in designing and implementing RAG (Retrieval Augmented Generation) systems. Proficiency in prompt engineering and understanding of various prompt templates and strategies. MLOps & Cloud: Experience with deploying and managing AI agents in a production environment using MLOps practices. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and related services for AI/ML and serverless computing. Familiarity with containerization (Docker) and orchestration (Kubernetes). System Integration: Proven experience integrating AI solutions with external APIs and internal enterprise systems (e.g., Salesforce, Jira, Slack). Problem-Solving

As a Senior AI/ML Engineer, you will be responsible for conducting ETL Testing with a focus on AI Testing, particularly in the GenAI domain. Your role will involve leveraging your strong QA/testing experience, both in manual and automation testing, with a preference for applications based on AI/ML technologies. To excel in this position, you should have a solid understanding of machine learning concepts, including LLMs, generative AI models such as GPT, Claude, DALLE, and Stable Diffusion. Proficiency in using Python-based test frameworks like PyTest and Unittest is essential. Additionally, familiarity with RESTful APIs, Postman, and JSON is required to assess natural language output for tone, accuracy, and appropriateness. Your responsibilities will also include evaluating prompt engineering basics and prompt evaluation techniques. Exposure to tools such as LangChain, OpenAI API, HuggingFace, or Vertex AI will be advantageous. Strong analytical and problem-solving skills are crucial for this role, along with proficiency in JavaScript, Requirement Gathering, Adobe Launch, Mobile Analytics Implementation, Google Tag Management, 3rd Party Pixel Implementation, Analytics Implementation Technical Documentation, A/B Testing Implementation, Adobe Analytics Implementation, Analytics Solution Architecting, DataLayer Architecture, Google Analytics Implementation, Tealium IQ, and Analytics Beacon QA. In summary, as a Senior AI/ML Engineer specializing in ETL Testing with a focus on AI Testing (GenAI), you will play a key role in ensuring the quality and reliability of AI/ML-based applications through comprehensive QA/testing practices and analytical problem-solving skills. Your expertise in machine learning concepts, Python-based test frameworks, RESTful APIs, and other relevant technologies will be instrumental in delivering high-quality solutions in the AI domain.,

Are you passionate about shaping an organization's cloud and data future This is a center of excellence leadership position at Mastech Digital, where you will be responsible for defining the GCP practice vision and roadmap. We are looking for a Practice Leader - GCP with a minimum of 15 years of experience to drive capability growth, innovation, and practice leadership across Cloud Data Engineering, Analytics, and AI/ML solutions. In this role, you will have the opportunity to build and mentor a high-performing in-house GCP talent pool, develop accelerators, frameworks, and reusable assets for cloud-native solutions, and partner with delivery, sales, and clients as a subject matter authority. You will champion innovation, thought leadership, and knowledge sharing in the GCP ecosystem. We are seeking a proven leader who can establish and scale technical practices, with strong expertise in Google Cloud Data & AI capabilities such as BigQuery, Dataflow, Vertex AI, etc. The ideal candidate should have the ability to drive cross-functional collaboration and stakeholder alignment, as well as a passion for developing people, practices, and next-gen solutions. This role is not tied to any single client project or billable assignment; it's about building organizational capability and driving enterprise impact. If you are ready to make an impact at the organizational level and shape the future of how Mastech Digital delivers on GCP, we encourage you to apply now at bharti.bhandari@mastechdigital.com or tag someone who would be a great fit!,

Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 18 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Technology Architect, you will design, develop, and deliver advanced analytics and machine learning solutions leveraging Google Clouds AI/ML capabilities. You will define models and workflows to meet performance, scalability, and accuracy requirements, ensuring business insights are actionable and aligned with strategic goals. You will be responsible for the successful deployment of AI/ML solutions on Google Cloud. Roles & Responsibilities: Expected to be a Subject Matter Expert (SME) with deep expertise in data science and AI/ML on Google Cloud. Influence and guide analytical and AI-driven decision-making across multiple teams. Engage with stakeholders to identify high-impact data science opportunities. Design, build, and optimize ML models for predictive, prescriptive, and descriptive analytics. Collaborate with data engineering teams to ensure high-quality data pipelines for ML workloads. Ensure solutions adhere to ethical AI principles, security requirements, and compliance standards. Lead model deployment, monitoring, and continuous improvement in production environments. Professional & Technical Skills: Must To Have Skills: Proficiency in Google Cloud AI/ML tools (Vertex AI, AI Platform, BigQuery ML, TensorFlow, AutoML). Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques. Experience with large-scale data processing frameworks (Dataflow, Dataproc) and SQL-based analytics (BigQuery). Proficiency in Python/R for data science, with experience in ML frameworks (TensorFlow, Scikit-learn, PyTorch). Knowledge of MLOps practices, including CI/CD for ML and model governance. Additional Information: The candidate should have a minimum of 18 years of experience in data science, with a focus on Google Cloud AI/ML solutions. This position is based Pan India Show more Show less

Job Title: Senior Data Scientist / Senior Gen AI Developer Location: PAN India Years of Experience: 4-10 years (Experience: 4- 10 years with at least 3-5 project lifecycle experience in data science.) with Bachelor/Master in Statistics/Economics, BE/BTech/MTech with above experience . Position Overview: This role requires a strong expertise in AI/ML with a focus on Generative AI, combined with business acumen to drive client transformation. In this role, you will be responsible for the design, development, and optimization of AI/ML & generative AI models, with a focus on leveraging Python for algorithm development, model implementation, and deployment. Key Responsibilities: Solution Development: Design and implement AI & Gen AI powered solutions using LLMs (eg. Open AI, Claude, Gemini, Llama3). Fine-tune AI/generative AI models using Python and machine learning libraries. Leverage Agentic AI frameworks such as CrewAI, AutoGen, and orchestrate interactions across vector DBs, RAG pipelines & APIs. Should have experience in developing different ML models for Regression / Classification, Clustering, and Time Series forecasting models as well. Data Processing: Manage and preprocess large datasets for training AI/ML models, ensuring clean, efficient data pipelines for optimal performance. Model Evaluation: Evaluate and iterate on model performance, applying techniques to improve accuracy, robustness, and efficiency. Collaboration: Work closely with other developers, data scientists, and product managers to define AI requirements, integrate models into products, and ensure the AI system meets business needs .Optimization: Optimize model performance for production environments, focusing on scalability and computational efficiency. Thought leadership: Stay updated with the latest trends in generative AI, contributing innovative ideas and applying cutting-edge research to development effo rts. Required skills & experience: Experience: 5+ years of professional experience with a focus on machine learning, deep learning, and 2+ years in generative AI applications. Python Expertise: Advanced proficiency in Python, with solid experience using machine learning and deep learning libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn, Pandas. Generative AI experience: Hands-on experience with tools/platforms like Open AI, LangChain, Hugging Face, Vertex AI, AWS Bedrock etc. and frameworks such as LangGraph, CrewAI, Autogen Data Handling: Experience working with large datasets, including preprocessing, cleaning, and augmenting data for AI model training. Model Deployment: Knowledge of deploying machine learning models into production environments, including familiarity with cloud services (AWS, GCP, Azure) and containerization tools (e.g., Docker). ML Algorithms & Statistics: Strong understanding of machine learning algorithms, statistics, and optimization techniques used in AI. Version Control: Proficiency in using version control systems such as Git for managing codebase and collaboration. Problem Solving: Strong analytical skills with the ability to tackle complex problems and devise efficient solutions in a fast-paced environment. Communication: Ability to clearly communicate technical concepts to both technical and non-technical stakeholders. Project experience in Python, PySpark ,SQL Familiarity with model interpretability and debugging tools. Familiarity with reinforcement learning and its applications to generative models. Experience working in Agile/Scrum environments. Experience with data visualisation tools, such as D3.js, GGplot, etc. Experience in other Visualization tools like Power BI, Tableau, Qlikview shall be added advantage. Show more Show less

Position Title: AI & Industry 4.0 Transformation Lead Location: Gurgaon (Head Office) [Best Group] To Apply: https://forms.office.com/r/FByEwfL2mU About Best Group Best Group is a dynamic conglomerate with over five decades of excellence, specializing in: Manufacturing: Designing and engineering automotive and defense solutions that lead the industry. Future Factory Solutions: Creating disruptive and intelligent systems to drive the automotive industry&aposs next frontier. Education: Fostering a learning ecosystem that equips learners for an accelerating, tech-driven future. Our ethos is rooted in ethical innovation, sustainability, and building a legacy with shared values, societal growth, and world-class quality. How Youll Make an Impact Architect Transformation: Define and build AI frameworks that turn industrial processes into intelligent, autonomous systems. Pioneer Autonomy: Lead development of real-time, adaptive AI agents in manufacturing environments. Bridge Research & Reality: Translate cutting-edge AI methods into deployable, industrial-grade solutions. Own the AI Lifecycle: From data intake to deployment, ensure models are scalable, reliable, and future-ready. Lead with Vision: Inspire and grow a team of AI innovators committed to redefining industry norms. Champion Integration: Collaborate across IoT, product, and business teams to deliver cohesive and transformative systems. Ensure Governance & Scalability: Uphold governance, traceability, and compliance while scaling AI operations. What We&aposre Looking For Masters or PhD in AI/ML or related discipline. 5+ years in enterprise AI/ML. Expertise in: AI/ML architecture & predictive modeling MLOps platforms (e.g., MLflow, Kubeflow, SageMaker, Vertex AI) Industrial-scale data processing Proven background in: Low-code enterprise solution delivery (mandatory) Full product lifecycle leadership (mandatory) Building and leading AI/ML teams (mandatory) IIoT or Industry 4.0 environments (highly desirable) Why Join Best Group Be at the forefront of Indias Industry 4.0 revolution . Lead AI initiatives that transform manufacturing worldwide . Join a values-driven team committed to sustainability, innovation, and growth . Show more Show less

You will be joining Accenture Strategy & Consulting Global Network as a Data & AI Telecom Analytics Consultant at Level 9. The location for this role can be in Bangalore, Gurgaon, Hyderabad, or Mumbai. As a part of the Data & AI practice, you will be contributing to helping clients grow their business through analytics. This involves leveraging data insights to drive better decision-making and enhance customer relationships. You will be working with a global network of experienced colleagues proficient in AI/ML/Statistical tools and applications. From data analytics to actionable insights, your role will involve providing data-driven solutions at scale to help clients achieve high performance outcomes. Within the Strategy & Consulting division, the Comms & Media practice focuses on serving clients in the Communications, Media & Entertainment industries. This includes telecommunications, information & communication technology, broadcast, entertainment, print, and publishing sectors. As part of this practice, you will collaborate with clients to develop value growth strategies and integrate AI & GenAI to address their business objectives such as revenue growth and cost reduction. Your responsibilities will include designing and delivering AI solutions for clients in the Telco domain. This will require a strong background in Telco, AI fundamentals, and hands-on experience with data management using SQL. You will be involved in proposing solutions based on gap analysis, gathering business requirements, understanding processes, and translating customer needs into functional requirements. Additionally, you will work on complex problem-solving, client interactions, project delivery, and stakeholder management. To qualify for this role, you should have over 5 years of experience in Data Science with a focus on Telecom Analytics. A Master's degree from a Tier 1/Tier 2 institution and engineering background is preferred. Proficiency in data mining, statistical analysis, predictive modeling, and various analytical techniques is essential. You should also have experience in client-facing roles, proficiency in tools like Python, R, SQL, and Excel, and excellent communication skills to interact with non-technical stakeholders. Overall, this position requires a self-starter with strong analytical skills, the ability to work independently across multiple projects, prioritize tasks, and guide junior team members. Additional qualifications such as cloud platform certification, computer vision experience, and knowledge of optimization techniques are considered advantageous for this role. Please note that the ability to travel or relocate to Japan may be required based on business needs.,

Generative AI Practice Head Location: Pune, Maharashtra (Hybrid) Experience: 7-10 years About the Role Evonence is seeking a Generative AI Practice Head to spearhead its AI initiativesdriving innovation, shaping strategy, and delivering production-ready generative AI solutions. This leadership role requires a blend of deep research expertise, hands-on engineering skills, and team mentorship capabilities. Key Responsibilities Lead the design, development, and deployment of state-of-the-art generative AI systems. Stay ahead of the curve by evaluating and adopting cutting-edge AI research (e.g., NeurIPS, CVPR, ICLR). Serve as the authority and visionary for the company’s generative AI direction. Architect and optimize production-grade AI models using transformers, GANs, and diffusion models. Ensure performance, scalability, and security of deployed solutions, leveraging distributed platforms. Build and fine-tune large-scale multimodal AI models for NLP, computer vision, or cross-domain tasks. Implement Responsible AI principles —mitigating bias, enhancing explainability, and ensuring fairness. Act as a bridge between research and product teams , ensuring smooth integration of AI capabilities. Mentor junior engineers, foster cross-functional collaboration , and shape the organization’s AI roadmap. Required Skills & Qualifications Master’s or PhD in AI/ML, Computer Science, or related fields . Proven expertise in transformer architectures, GANs, and diffusion models . Strong programming experience in Python, TensorFlow, JAX, PyTorch . Hands-on experience with distributed training and scalable deployment . Solid foundation in NLP, computer vision, or multimodal AI applications . Good to Have Experience with Google Cloud Platform (GCP) and related AI services. Research publications or patents in top-tier AI conferences/journals. Contributions to open-source AI libraries (e.g., HuggingFace, TensorFlow, Diffusers). Familiarity with AI ethics frameworks and tools like Fairness Indicators, Explainable AI (XAI).

Data pipelines and infrastructure for AI and analytics using cloud-native tools. Design and implement production-ready GenAI applications using services like Amazon Bedrock, Azure Mandatory Skills: Cloud Computing, Artificial Intelligence , Python

Role: Gen AI Location: Bangalore Work from office (Mon-Fri) Gen AI Vertex AI, agentspace ML

Role - Machine Learning Engineer Required Skills & Experience 5+ years of hands-on experience in building, training, and deploying machine learning models in a professional, production-oriented setting. Demonstrable experience with database creation and advanced querying (e.g., SQL, NoSQL), with a strong understanding of data warehousing concepts. Proven expertise in data blending, transformation, and feature engineering , adept at integrating and harmonizing both structured (e.g., relational databases, CSVs) and unstructured (e.g., text, logs, images) data. Strong practical experience with cloud platforms for machine learning development and deployment; significant experience with Google Cloud Platform (GCP) services (e.g., Vertex AI, BigQuery, Dataflow) is highly desirable. Proficiency in programming languages commonly used in data science (e.g., Python is preferred, R). Solid understanding of various machine learning algorithms (e.g., regression, classification, clustering, dimensionality reduction) and experience with advanced techniques like Deep Learning, Natural Language Processing (NLP), or Computer Vision . Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch ). Familiarity with MLOps tools and practices , including model versioning, monitoring, A/B testing, and continuous integration/continuous deployment (CI/CD) pipelines. Experience with containerization technologies like Docker and orchestration tools like Kubernetes for deploying ML models as REST APIs. Proficiency with version control systems (e.g., Git, GitHub/GitLab) for collaborative development. Interested candidates share cv to dikshith.nalapatla@motivitylabs.com

About this role: Wells Fargo is seeking a Senior Software Engineer within the Enterprise Core Infrastructure Services (CIS) under CTO Organization focused on enabling the Next generation Gen AI solutions on public cloud platforms. In this role, you will: Write, develop, and deploy Terraform code and modules for infrastructure as code to provision and manage Gen-AI services on GCP, Azure, and OpenAI platforms, ensuring production-ready deployments. CIS CTO is a key contributor in delivering and automating the provisioning of Cloud Infrastructure using Infrastructure as a Code for the cutting-edge Gen-AI services such as Agentic Solutions, Agentic Development Frameworks (ADK), Agentic-to-Agentic (A2A) services, MCP (Model Control Protocol) framework and the associated LLM models in Azure and GCP Clouds. Enable and optimize infrastructure for agentic AI frameworks, including A2A protocols (e.g., Google's proposed frameworks) and Model Control Protocol (MCP). Leverage expertise in large language models (LLMs) such as GPT-4, Google-based models (e.g., Gemini), and Anthropic-based models to support financial services applications. Collaborate with cross-functional teams to integrate Gen-AI solutions into financial platforms, ensuring alignment with business needs. Ensure scalability, security, and performance of cloud-based Gen-AI infrastructure. Mentor junior engineers and contribute to technical strategy for Gen-AI initiatives. Understanding of industry best practices and new technologies, influencing and contributing as part of the technology team to meet deliverables and work on new initiatives. Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals. Build and Enable cloud infrastructure, automate the orchestration of the entire GCP/Azure Cloud Platforms for Wells Fargo Enterprise. Working in a globally distributed team to provide innovative and robust Cloud centric solutions. Closely working with Product Team and Vendors to develop and deploy Cloud services to meet customer expectations. Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 3+ years working with GCP and a proven track record of building complex infrastructure programmatically with IaC tools. Having at least 2+ years of experience in Azure Cloud delivering Enterprise production grade services and solutions is a huge plus. Must have 2+ years of hands-on experience with Infrastructure as Code tool Terraform and GitHub. Must have professional cloud certification on GCP and or Azure Infrastructure and automation technologies: Orchestration, Harness, Terraform, API development, Test Driven Development Sound knowledge on the following areas with an expertise on one of them - Should have a good understanding of networking, firewalls, load balancing concepts (IP, DNS, Guardrails, Vnets) and exposure to cloud security, AD, authentication methods, RBAC. Proficient and have a thorough understanding of Cloud service offerings on Data, Analytics, AI/ML. Exposure to Analytics AIML services like BigQuery, Vertex AI, Azure AI, OpenAI, Azure Machine Learning etc. Proficient with GCP services like Vertex AI Suite , Agent Builder, Vector Search,DialogFlow,Workbench etc Proficient with GCP Predictive AI services ML Pipelines, Model serving Proficient with GCP Generative AI services , LLMs ,RAG , Reasoning engine,Valuation etc Thorough understanding and handson for GCP Agent space NotebookLM Proficient and have a thorough understanding of Cloud service offerings on Security, Data Protection and Security policy implementation Thorough understanding of landing zone and networking, Security best practices, Monitoring and logging, Risk and controls. Experience working in Agile environment and product backlog grooming against ongoing engineering work Enterprise Change Management and change control, experience working within procedural and process driven environment Desired Qualifications: Deep expertise in GenAI, agentic frameworks, A2A protocols, and MCP, with hands-on experience in LLMs (e.g., GPT-4, Google Gemini, Anthropic Claude). Advanced proficiency in writing Terraform code and modules for infrastructure as code on GCP, Azure with a focus on production deployment. Should have exposure to Cloud governance and logging/monitoring tools. Experience with Agile, CI/CD, DevOps concepts and SRE principles. Experience in scripting (Shell, Python, Go) Excellent verbal, written, and interpersonal communication skills. Ability to articulate technical solutions to both technical and business audiences Ability to deliver & engage with partners effectively in a multi-cultural environment by demonstrating co-ownership & accountability in a matrix structure. Delivery focus and willingness to work in a fast-paced, enterprise environment. Posting End Date: 7 Sep 2025 We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

We are seeking a highly skilled Senior Data Scientist / Conversational AI Architect to lead the design, development, and deployment of advanced conversational AI solutions using Google Cloud's Vertex AI and Dialogflow CX. This role requires deep expertise in building, testing, and productionizing voice and chat agents, with hands-on experience in creating complex flows, playbooks, and evaluation frameworks. You will be responsible for driving agent development from concept to production, ensuring high-quality user experiences across both voice and chat channels. A strong foundation in Python (Cloud Functions, Colab) and SQL (preferably BigQuery) is essential for building scalable solutions and performing data-driven evaluations. The ideal candidate will also possess excellent analytical skills to interpret user behavior and optimize agent performance. As a team lead, you will guide a team of developers and data scientists, manage stakeholder expectations, and ensure effective communication across business and technical teams. Familiarity with Agile program management methodologies is a plus. This role is best suited for someone with a blend of technical, leadership, and strategic thinking capabilities, able to translate complex requirements into impactful conversational AI solutions.