1197 Aiml Jobs - Page 19

Dear Candidates, Please find the below JD, Location : Whitefield, Bangalore Contact : Ramya 9019493984 Requirement Minimum 8+ years of experience designing, building, and operating cloud-native applications at scale. Expertise in container orchestration frameworks like Kubernetes and containerization technologies like Docker. Expertise in AI/ML/data capabilities, platforms, frameworks and tools. • Proven track record deploying and managing cloud environments using Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation. Experience in designing and implementing highly available, scalable, and fault-tolerant systems. Development Lifecycle: End-to-end ownership of the entire software development lifecycle (SDLC) for complex enterprise platforms and products. This includes experience in design, prototyping, development (including unit, integration, and end-to-end testing), deployment, and ongoing operations. Technical Skills: Mastery of essential software development principles with a focus on clean code, design patterns, and best practices. In-depth expertise in at least two of the following programming languages: Python, Java, JavaScript, Golang, or C++. Solid understanding of distributed systems concepts and experience with distributed tracing tools. AI/ML Experience: Demonstrated experience in building, deploying, and managing Machine Learning (ML) and Artificial Intelligence (AI) platforms and services. Familiarity with MLOps practices, frameworks (TensorFlow, PyTorch), and tools is a plus Familiarity with modern LLMs and AI agent frameworks like LangChain, LlamaIndex , AutoGen etc. is a strong plus Thank you, Ramya

4+ yrs of experience in AI/ML, pytorch, tensorflow, deep learning, Gen AI

Description - External Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of AIML Engineer! In this role, we are looking for candidates who have relevant years of experience in designing and developing machine learning and deep learning system. Who have professional software development experience. Hands on running machine learning tests and experiments. Implementing appropriate ML algorithms engineers. Responsibilities • Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging cloud tech stack and third-party products • Close the gap between ML research and production to create ground-breaking new products, features and solve problems for our customers • Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services • Build and implement machine learning models and prototype solutions for proof-of-concept • Scale existing ML models into production on a variety of cloud platforms • Analyze and resolve architectural problems, working closely with engineering, data science and operations teams Qualifications we seek in you! Minimum Qualifications / Skills • Bachelor's degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field • Master’s degree is a plus • Integration – APIs, micro-services and ETL/ELT patterns • DevOps (Good to have) – Ansible, Jenkins, ELK • Containerization – Docker, Kubernetes etc • Orchestration – Airflow, Step Functions, Ctrl M etc • Languages and scripting: Python, Scala Java etc • Cloud Services - AWS, GCP, Azure and Cloud Native • Analytics and ML tooling – Sagemaker, ML Studio • Execution Paradigm – low latency/Streaming, batch Preferred Qualifications/ Skills • Data platforms – Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery, Snowflake etc.) • Visualization Tools - PowerBI, Tableau Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

About Apexon: Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.Apexon brings together distinct core competencies in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. We enable #HumanFirstDigital Key Responsibilities: Design, develop, and maintain CI/CD pipelines for ML models and data workflows. Collaborate with data science teams to productionize models using tools like MLflow, Kubeflow, or SageMaker. Automate training, validation, testing, and deployment of machine learning models. Monitor model performance, drift, and retraining needs. Ensure version control of datasets, code, and model artifacts. Implement model governance, audit trails, and reproducibility. Optimize model serving infrastructure (REST APIs, batch/streaming inference). Integrate ML solutions with cloud services (AWS, Azure, GCP). Ensure security, compliance, and reliability of ML systems. Required Skills and Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. 4+ years of experience in MLOps, DevOps, or ML engineering roles. Strong experience with ML pipeline tools (MLflow, Kubeflow, TFX, SageMaker Pipelines). Proficiency in containerization and orchestration tools (Docker, Kubernetes, Airflow). Strong Python coding skills and familiarity with ML libraries (scikit-learn, TensorFlow, PyTorch). Experience with cloud platforms (AWS, Azure, GCP) and their ML services. Knowledge of CI/CD tools (GitLab CI/CD, Jenkins, GitHub Actions). Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK, Sentry). Understanding of data versioning (DVC, LakeFS) and feature stores (Feast, Tecton). Strong grasp of model testing, validation, and monitoring in production environments. Our Commitment to Diversity & Inclusion: Did you know that Apexon has been Certified™ by Great Place To Work®, the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK.Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy (apexon.com) Our Perks and Benefits: Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance. We also offer: Group Health Insurance covering family of 4 Term Insurance and Accident Insurance Paid Holidays & Earned Leaves Paid Parental LeaveoLearning & Career Development Employee Wellness

Project Role: AI/ML Lead Work Experience: 8 to 13 Years Work location: Bengaluru/Kochi Must Have Skills: Machine Learning, NLP, Deep Learning, AI, Python, GenAI. Job Description Develop/leverage fit for purpose AIML models/algorithms/foundation models/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Assists with the ongoing development and implementation of an enterprise architecture. May devise and present business cases and program release plans to senior management with priority recommendations to maintain and evolve this architecture. Builds effective business relationships with business line managers and provides technical and system expertise as input to product concepts. May assist product development management to define IT strategic direction and assists in the mapping of projects to that strategic direction whilst ensuring product capabilities and process improvements are delivered over time within the framework of the IQVIA enterprise architecture. Participates in cross-functional product development teams, may also act as a consultant to provide system and technical advice. Keeps up to date with technology changes and identifies opportunities for implementation in future systems. Participates in R&D projects and may run those projects in compliance with standard project management practices. May mentor and assist lower-level architects and business analysts. Qualifications 10+ years of experience in engineering roles with team management experience 6-8 relevant years experience on NLP, GenAI/LLM/Agentic AI, Machine Learning and Deep learning 6-8 relevant years of experience on Python Extensively work on NLP applications, ability to work on Machine learning model, Deep learning development Extensive knowledge in leveraging GenAI/LLM for developing innovative solutions to complex business problems. Solid understanding of LLMs, including fine-tuning methodologies and deployment strategies. Experience on text to transform natural language into useful features. Find and implement the right algorithms and tools for NLP tasks. Extend ML libraries and frameworks to apply in NLP tasks. Demonstrated experience in writing effective, scalable, and maintainable code Experience on Writing on effective and scalable code Experience on Unit Testing using Pytest or equivalent framework. A deep understanding and multi-process architecture and the threading limitations of Python. Must have experience working with REST APIs, and frameworks like Flask API and Fast API. Experience with Django or Pyramid framework is a good to have Knowledge of NER, Knowledge graphs is good to have. Education Qualification Master's Degree masters degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field

We Are hiring "AI ML Engineer/ML Ops" for one of our "IT Services & Consulting-MNc" EXP-6-10 Years Mode-Permanent Location-Pune Skills required • Proficiency in ML Ops tools and frameworks (e.g., MLflow, Kubeflow, TensorFlow Extended) • Strong programming skills (e.g., Python, Bash) • Experience with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI) • Excellent analytical and problem-solving abilities • Effective communication and collaboration skills • Attention to detail and commitment to data accuracy

You will be part of a global and diverse community at American Express, where you will have the opportunity to contribute to the company's success and work in an environment that values integrity and inclusivity. As a member of the U.S. Consumer Services and Enterprise Digital & Data Technology Team, you will play a key role in developing technology capabilities that enhance digital engagement and support various business lines and customer segments. In this role, you will be responsible for Business Process Management architecture, focusing on increasing adoption of automation platforms, delivering technology products, and providing innovative solutions. You will spend 25% of your time on hands-on technical projects, analyzing and recommending solutions based on research and introspection. Your responsibilities will include designing and leading solutions, ensuring alignment with enterprise architecture standards, and collaborating with engineering teams to implement solutions that drive measurable business improvements. To succeed in this role, you should have a minimum of 10 years of engineering or architecture experience, with a strong background in designing and deploying enterprise-grade technology assets. A bachelor's degree in computer science or a related field is required, and an advanced degree is preferred. You should have deep knowledge of architectural disciplines and experience in introducing new technologies based on research. Proficiency in technology architecture, containers, cloud management, and COTS product evaluation is essential, along with the ability to write, read, and debug code. Preferred qualifications include experience in delivering technology products for enterprise scale, exposure to AI technologies, and expertise in service-oriented architecture and microservices architecture. You should also have experience with high-throughput messaging technologies and channel-specific architecture skills. American Express offers competitive salaries, bonus incentives, and comprehensive benefits to support your holistic well-being, including medical, dental, vision, life insurance, and disability benefits. You will have access to career development opportunities and flexible working arrangements based on business needs. Join Team Amex and be part of a team that values your contributions and supports your professional growth and personal well-being.,

You will be joining the engineering team at STAND 8 as a Senior AI Engineer / Data Engineer where you will play a key role in developing cutting-edge AI-powered business solutions. Your primary focus will be designing and optimizing AI systems that utilize advanced large language models, real-time AI interactions, and state-of-the-art retrieval architectures. Your contributions will directly impact products that are revolutionizing various business operations, especially in areas such as recruitment, data extraction, and decision-making processes. As a Senior AI Engineer / Data Engineer at STAND 8, your responsibilities will include designing, building, and enhancing AI-powered systems that incorporate multi-modal architectures encompassing text, voice, and visual elements. You will also be tasked with integrating and deploying large language model (LLM) APIs from providers like OpenAI, Anthropic, and AWS Bedrock, as well as constructing and managing Retrieval-Augmented Generation (RAG) systems with hybrid search capabilities, re-ranking functionalities, and knowledge graphs. Additionally, you will develop real-time AI features using streaming analytics and voice interaction tools, build APIs and pipelines to support AI workflows, process unstructured documents with layout and semantic understanding, implement predictive models, and deploy scalable solutions using various AWS services. Your role will also involve utilizing Docker for containerization, managing CI/CD workflows, version control through Git, debugging, monitoring, and optimizing performance for large-scale data pipelines, and collaborating with cross-functional teams consisting of product, data, and engineering professionals. To qualify for this role, you should possess at least 5 years of experience in AI/ML or data engineering with Python in production environments. Hands-on experience with LLM APIs and frameworks such as OpenAI, Anthropic, Bedrock, or LangChain is essential, along with expertise in vector databases like PGVector, Weaviate, FAISS, or Pinecone, a strong grasp of NLP, document extraction, and text processing, proficiency in AWS cloud services, experience with FastAPI or similar frameworks, familiarity with embedding models, prompt engineering, and RAG systems, knowledge of asynchronous programming, Docker, Git workflows, CI/CD pipelines, and testing best practices. Preferred qualifications include a background in HRTech or ATS integrations, knowledge of knowledge graphs for semantic relationships, experience with real-time AI systems and voice AI tools, advanced Python development skills, large-scale data processing experience, event-driven architecture knowledge using AWS services, and hands-on experience with fine-tuning, evaluating, and deploying foundation models.,

About Us: At Calfus, we are recognized for our expertise in delivering cutting-edge AI agents and products that revolutionize businesses in unprecedented ways. We empower companies to fully leverage the potential of AI, enabling them to unlock opportunities that were previously unattainable before the AI era. Our software engineering teams are highly esteemed by customers, ranging from start-ups to established enterprises, due to our consistent delivery of solutions that fuel revenue growth. Our ERP solution teams have effectively implemented cloud solutions and developed tools that seamlessly integrate with ERP systems, thereby reducing manual work and allowing teams to concentrate on high-impact tasks. This remarkable progress is made possible by talents like you! Our global teams thrive on collaboration, and we are actively seeking skilled professionals to enhance our in-house expertise and assist us in providing exceptional AI, software engineering, and solutions using enterprise applications. As one of the fastest-growing companies in our industry, we take pride in nurturing a culture of innovation where new ideas are always embraced without hesitation. We are driven and anticipate the same level of commitment from our team members. Our speed, agility, and dedication distinguish us, and we excel when surrounded by high-energy, motivated individuals. To sustain our rapid expansion and make an even greater impact, we invite you to consider applying for our open positions and joining us on our journey! About the Role: We are seeking a Senior Full-Stack Engineer with substantial experience in Python-based development and a genuine passion for constructing scalable, cloud-native applications. In this role, you will be involved in various aspects of the stack, from designing backend services in Python to creating responsive front-ends, while also exploring opportunities to integrate Generative AI (GenAI) technologies. Whether you possess prior experience with GenAI or are eager to delve into it, this role presents an exciting opportunity to contribute to cutting-edge products and solutions. What You'll Do: - Full-Stack Development: Design, construct, and sustain robust, scalable web applications utilizing Python (Flask, Django, FastAPI) for the backend and modern frontend frameworks like React, Angular, or Vue.js. - GenAI Exploration & Integration: Collaborate with AI teams to integrate or explore LLMs and generative AI capabilities (e.g., GPT-4, transformers, RAG pipelines) into products. Prior experience is valued; openness to learning is essential. - Architect Scalable Systems: Contribute to architectural decisions to ensure systems are secure, maintainable, and cloud-native. - Cloud Engineering: Deploy, monitor, and optimize applications using AWS, GCP, or Azure, with a focus on performance and reliability. - Collaboration & Mentorship: Engage closely with product managers, designers, and fellow engineers. Mentor junior developers and support peer growth. - Agile Practices: Participate in code reviews, uphold high-quality code standards, and contribute to continuous improvement. - Innovate & Learn: Stay abreast of emerging trends in full-stack development, cloud services, and AI technologies, introducing fresh ideas to the team. On your first day, we'll expect you to have: - Education: Bachelor's or Master's in Computer Science, Engineering, or a related field. - Experience: 5-8 years of hands-on experience in full-stack software development, with a strong backend expertise in Python. - Tech Stack Proficiency: - Backend: Python with Django, Flask, or FastAPI - Frontend: React, Angular, or Vue.js - Cloud: AWS, GCP, or Azure (deployment, monitoring, optimization) - AI Exposure: Experience or interest in LLMs, transformers, or GenAI tools (e.g., OpenAI APIs). Willingness to learn and apply AI concepts in production systems. - Strong Engineering Practices: Clean code, CI/CD, unit testing, version control (Git), and agile development. - Team Player: Comfortable collaborating in cross-functional teams and mentoring junior engineers. - Bonus: Previous experience in building or integrating GenAI models or collaborating with AI/ML teams. If you are a proficient full-stack Python developer who is enthusiastic about the future of Generative AI, even if you are still in the learning phase, this role is tailored for you. Benefits: At Calfus, we highly value our employees and provide a comprehensive benefits package. This includes medical, group, and parental insurance, along with gratuity and provident fund options. Additionally, we prioritize employee wellness and offer birthday leave as a valued benefit. Calfus is an Equal Opportunity Employer. We strongly believe that diversity fosters innovation. We are dedicated to establishing an inclusive workplace where everyone, regardless of background, identity, or experience, has the opportunity to thrive. We welcome all applicants!,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. Your unique voice and perspective are valued to help EY become even better. Join us and contribute to building an exceptional experience for yourself and creating a better working world for all. As a part of our EY - Technology Risk team, you will contribute technically to IT Risk and Assurance client engagements as well as internal projects. Your role will involve actively establishing, maintaining, and strengthening internal and external relationships. You will also be responsible for identifying potential business opportunities for Ernst & Young within existing engagements and escalating them as appropriate. Anticipating and identifying risks within engagements and sharing any issues with senior team members will also be part of your responsibilities. The opportunity entails helping clients navigate the complex world of modern data science and analytics. You will provide advice to clients on designing, implementing, stabilizing, and optimizing internal controls using cutting-edge and scalable AI & Big Data technologies. Your key responsibilities include: - Building and leveraging cutting-edge Gen AI & Big Data platforms to deliver insights for comprehensive Risk & Controls monitoring mechanisms. - Creating executive reporting, proposals, and marketing material with the highest quality deliverables. - Collaborating within the team to solve technical challenges in the design and development of the next-generation AI & Data-led Risk technology platform. To qualify for this role, you must have: - 4+ years of working experience in Large Scale AI/ML models and data science. - Deep understanding of statistics, AI/ML algorithms, and predictive modeling. - Proficiency in AI/ML programming languages like Python, R, and SQL. - Expertise in machine learning algorithms and data mining techniques including deep learning algorithms. - Strong programming skills in Python with machine learning libraries such as Scikit-learn, Pandas, NumPy, etc. - Knowledge of tools such as Docker, Kubernetes, Git, and deep learning frameworks like TensorFlow, PyTorch, or Keras. Ideally, you'll also have a Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus. Being self-driven, a creative problem solver, and enjoying the fast-paced environment of software development are qualities that are valued. At EY, you will have opportunities to work with leading businesses globally and develop your skills and career. You will work on inspiring and meaningful projects, receive support, coaching, and feedback from engaging colleagues, and have the freedom and flexibility to handle your role in a way that suits you. EY is committed to building a better working world by creating long-term value for clients, people, and society through trust, data, and technology.,

As a Manager Program & Projects with over 10 years of experience, you will be responsible for leading high-impact tech initiatives across various domains. Your role will involve managing large-scale programs, overseeing project planning and execution, providing technical guidance on architecture and integration, and collaborating with stakeholders to ensure timely delivery and business alignment. Additionally, you will drive API integrations, scalable system designs, and performance optimization while mentoring and leading teams to foster collaboration and accountability. Key Responsibilities: - Lead end-to-end delivery of complex IT projects in Java development, Cloud, Data Science, and AI/ML domains. - Collaborate with stakeholders to ensure timely delivery and business alignment. - Oversee project planning, execution, timelines, and resource management. - Provide technical guidance on architecture, integration, and implementation. - Drive API integrations, scalable system designs, and performance optimization. - Mentor and lead teams, fostering collaboration and accountability. Key Requirements: - 10+ years of experience in program/project management within the tech domain. - Strong exposure to Java, cloud platforms (AWS/Azure/GCP), AI/ML, and data-centric solutions. - Excellent communication and client coordination skills, especially with international teams. - Proven ability to manage full project life cycles and drive delivery excellence. - Leadership mindset with a focus on team performance and continuous improvement. If you believe your skills and experience align with our requirements, please share your CV with us. Remember to include "Manager Program & Projects" in the subject line. Apply below.,

You will conduct comprehensive research to identify innovative manufacturing technologies such as Industry 4.0, Data analytics, AI/ML that align with company goals. Your role will involve evaluating the potential impact of new technologies on production efficiency, product quality, and overall business performance. You will be responsible for designing and executing POCs to evaluate solution options within set timeframes. Additionally, you will prepare comparative studies of solution options and propose optimum solutions. Your tasks will also include preparing project implementation scope and roadmaps to secure management approval. Collaboration with internal and external stakeholders to drive project implementation will be a key aspect of this role.,

The opportunity: Hitachi Energy is seeking a highly motivated and skilled Business Analyst to support and drive the successful delivery of AI initiatives across the organization. This role will focus on identifying business opportunities, gathering and analyzing requirements, and collaborating with cross-functional teams to implement AI solutions using a variety of technologies and platforms. The ideal candidate will have a strong understanding of Business Requirements gathering concepts, excellent analytical skills, and experience working in complex industrial or energy environments. How you'll make an impact: Collaborate with business units to identify and prioritize AI use cases aligned with strategic goals. Conduct stakeholder interviews, workshops, and process analysis to gather detailed business requirements. Translate business needs into functional and technical specifications for AI solutions. Perform cost-benefit and impact analysis for proposed AI initiatives. Define and track KPIs to measure the success of AI implementations. Work closely with data scientists, AI engineers, and IT teams to ensure business requirements are accurately implemented. Support the development and deployment of AI Solutions using platforms such as Microsoft Azure AI. Assist in data preparation, validation, and governance activities. Ensure ethical AI practices and compliance with data privacy regulations. Prepare and present business cases, project updates, and post-implementation reviews liaising with the different vendor teams. Facilitate change management and user adoption of AI solutions. Maintain comprehensive documentation including business requirements, process flows, user stories, change requests, etc. Identify opportunities for process automation and optimization using AI technologies. Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines. Living Hitachi Energy's core values of safety and integrity, which means taking responsibility for your actions while caring for your colleagues and the business. Your background: Bachelor's or Master's degree in Business, Engineering, Computer Science, or related field. Minimum 8 years of overall experience. 4+ years of experience as a Business Analyst, preferably in the energy or industrial sector. 2+ years of experience working on AI/ML projects. Strong understanding of AI/ML concepts, data lifecycle, and cloud platforms. Familiarity with tools such as Power BI, Azure DevOps, JIRA, Confluence. Experience with AI applications and solutions (e.g., Gen AI based Chatbots, RAG architecture, etc.). Certifications in Business Analysis (CBAP, PMI-PBA) or AI platforms (Azure AI Engineer, AWS Machine Learning). Proficiency in both spoken & written English language is required.,

You are a dynamic and experienced BPO Technology Head with hands-on expertise in Genesys and other contact center technologies. In this leadership role, you will be responsible for driving the design, implementation, and optimization of the technology ecosystem that supports multi-channel customer service operations. The ideal candidate should be both strategic and technically proficient, capable of bridging the gap between business needs and technology solutions. Your key responsibilities include developing and executing the technology strategy for BPO and customer support operations. You will provide hands-on leadership in the implementation, configuration, and optimization of Genesys Cloud/Genesys Engage platforms. Additionally, you will oversee the architecture and integration of various tools such as ACD, IVR, CTI, WFM, quality monitoring, CRM, and analytics tools. Managing omnichannel capabilities and ensuring high availability and performance of systems will also be part of your role. You will design and rollout call center infrastructure in cloud environments and ensure interoperability and seamless integration between Genesys and supporting tools like Salesforce, Navitaire, etc. Overseeing real-time and historical reporting tools to enable performance optimization is crucial. Your knowledge of RPA, AI/ML, chatbots, voice bots, and other automation tools will help improve customer experience and operational efficiency. Exploring innovations in conversational AI, speech analytics, and customer journey orchestration is also expected. Leading a cross-functional team of IT engineers, developers, and tech support staff, as well as managing vendor relationships with Genesys and other third-party providers, will be part of your responsibilities. Negotiating service level agreements (SLAs), monitoring KPIs, and ensuring compliance with contracts are also key tasks. In terms of Security, Compliance, and Risk Management, you will ensure compliance with industry standards such as GDPR, HIPAA, PCI-DSS, and corporate security policies. Overseeing business continuity, disaster recovery planning, and incident management for contact center platforms is essential. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Proven hands-on experience with Genesys platforms, especially Genesys Cloud CX or Engage, in design, configuration, API integrations, and troubleshooting is required. Strong knowledge of contact center technologies like IVR, ACD, WFM, QM, CTI, CRM (e.g., Salesforce, Zendesk), telephony (SIP, VoIP), and analytics tools is necessary. Experience managing complex migrations and multi-site/global operations, as well as exposure to cloud platforms and containerized environments, will be advantageous. Your technical leadership and strategic planning skills, deep understanding of call center architectures, project and vendor management capabilities, omnichannel customer experience expertise, and proficiency in performance analytics and KPI management will be valuable assets. Excellent problem-solving and communication skills are also essential for this role. Preferred certifications include Genesys Certified Professional (GCP) Cloud CX or Engage, as well as PMP or ITIL Certification.,

Join our high-growth product engineering team to contribute to building next-gen B2C platforms that cater to millions of users. We are seeking a tech-savvy leader with over 5 years of experience in backend architecture, scalable systems, and fast-paced product development. This is a hybrid role that combines technical depth with a strong product mindset. As a part of our team, you will be responsible for designing and developing scalable backend services utilizing Java (Spring Boot) and Python (FastAPI/Django). You will be involved in making architectural decisions related to cloud infrastructure, real-time data pipelines, and AI-powered systems. Collaboration with product, design, and DevOps teams will be key to deliver high-impact features that enhance user experience. The ideal candidate should demonstrate proficiency in Java and Python frameworks such as Spring Boot, Django, or FastAPI. Hands-on experience with microservices, streaming data pipelines, and event-driven architecture is essential. A strong working knowledge of Redis, PostgreSQL, PGVector, and cloud platforms like AWS or GCP is required. Exposure to AI/ML tools such as GPT, RAG, vector databases, and chatbot frameworks is a plus. Additionally, the ability to lead design reviews, mentor junior developers, and establish engineering best practices is highly valued. Bonus points will be awarded for experience in building or scaling significant B2C platforms, familiarity with frontend technologies like ReactJS for rapid dashboard development, and knowledge of containerization, CI/CD, and observability tools such as Grafana, Prometheus, OTEL. This position is based in Thane, Maharashtra, and offers a hybrid/on-site work mode.,

Work Model: Hybrid (One in a week to office) Locations: Chennai, Bengaluru, Gurgaon, Pune Job Purpose: Analyzing, designing, developing, and managing the infrastructure to release scalable Data Science models. The ML Engineer is expected to deploy, monitor and operate production grade AI systems in a scalable, automated, and repeatable way. Job Responsibilities Create and maintain a scalable infrastructure to deliver AI/ML processes, responding to the user requests in near real time. Design and implement the pipelines for training and deployment of ML models. Design dashboards to monitor a system. Collect metrics and create alerts based on them. Design and execute performance tests. Perform feasibility studies/analysis with a critical point of view. Support and maintain (troubleshoot issues with data and applications). Develop technical documentation for applications, including diagrams and manuals. Working on many different software challenges always ensuring a combination of simplicity and maintainability within the code. Contribute to architectural designs of large complexity and size, potentially involving several distinct software components. Mentoring other engineers fostering good engineering practices across the department. Working closely with data scientists and a variety of end-users (across diverse cultures) to ensure technical compatibility and user satisfaction. Work as a member of a team, encouraging team building, motivation and cultivating effective team relations. Role Requirements E=essential, P=preferred P - Bachelor's degree in Computer Science or related field P - Masters degree in data engineering or related E - Demonstrated experience and knowledge in Linux and Docker containers E - Demonstrated experience and knowledge in some of the main cloud providers (Azure, GCP or AWS) P - Demonstrated experience and knowledge in distributed systems E - Proficient in programming languages: Python E Experience with ML/Ops technologies like Azure ML E Self driving and good communication skills P Experience with AI/ML frameworks: Torch, Onnx, Tensorflow E - Experience designing and implementing CICD pipelines for automation. P - Experience designing monitoring dashboards (Grafana or similar) P - Experience with container orchestrators (Kubernetes, Docker Swarm. E - Experience in using collaborative developing tools such as Git, Confluence, Jira, etc.

Hello Everyone, Optum is hiring AI ML Data Scientists at Hyderabad Description - External Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Skills: Python, NLP, LLMs, APIs Experience: 7 - 11 yrs Notice Period: Immediate to 45 days Location: Hyderabad Primary Responsibilities: Lead the technology as a senior member of the software engineer team, as part of an Agile scrum team assigned to work on the project Designs, codes, tests, debug, and documents software, and enhance existing components to ensure that software meets business needs Contribute to the design and architecture to enable secure, scalable, and maintainable software and should be able to clearly articulate the implications of design/architectural decisions, issues and plans to technology leadership Provide hands-on leadership, coaching, mentoring, and software engineering best practices to junior software engineers Develop reusable patterns and encourage innovation that will enable team velocity Collaborate on the design with other team members and product owners, both inside and outside the scrum team Estimate engineering work effort for engineering team and effectively identify and prioritize the high impact tasks Conduct design and code reviews to ensure code developed meets coding best practices guidelines, unit testing, security, and scalability and maintainability guidelines Drive a quality mindset within the team Required Qualifications: Graduate degree or equivalent experience 5+ years of experience in Python using common data science libraries such as scikit-learn and Databricks 3+ years of experience applying NLP (transformers, GPT, etc.) in a production setting using large amounts of data 2+ years of experience applying LLMs (RAG, vector DB, embeddings) to solve real world problems Experience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecasting and other statistical analyses Experience building APIs for the models Proven solid written & verbal communication skills; including the ability to present detailed analyses to a broad audience Proven organized self-starter, with drive and commitment; able to work with little supervision Proven solid analytical, quantitative, problem-solving, and critical thinking skills Interested can share their updated CV at arshad_mohammad@optum.com Thanks and Regards, Arshad Ayub - Talent Scout Optum arshad_mohammad@optum.com

Job Title: Lead AI/ML Engineer GenAI, LLMs & Automation Location: Bangalore Experience: 5+ years (including 3+ in Cloud) Role Summary We are building GenAI-driven assistants to transform how professionals learn, buy, and get support. Youll work closely with the CTO and lead the architecture, development, and deployment of LLM-powered solutionsincluding custom model training on proprietary datasets, RAG pipelines, and multi-agent systems. This is a full-stack AI role—you’ll also drive infrastructure, DevOps, and observability across the GenAI stack to ensure production-grade performance, scalability, and automation. Must-Have Skills LLM fine-tuning and custom model creation using proprietary data (e.g., SFT, LoRA, PEFT) Strong expertise in RAG architectures, vector stores (Pinecone, FAISS), and embeddings Hands-on with LangChain, LangGraph, and prompt engineering Solid cloud experience (AWS – ECS, Lambda, Bedrock, S3, IAM) Backend/API engineering (FastAPI or Node.js), Docker, Git, CI/CD (GitHub Actions, CodePipeline) Scripting with Python & Bash; n8n or other workflow automation tools Observability: Langfuse, LangWatch, OpenTelemetry Bonus Skills Agentic frameworks (LangFlow, CrewAI, AutoGen) Experience integrating chatbots in web or LMS environments Infra as Code (Terraform), monitoring tools (Grafana, CloudWatch) You’ll Be Responsible For Designing and scaling AI-first features for real users Leading AI engineering practices end-to-end—model, infra, and app layer Rapid experimentation, iteration, and optimization Collaborating cross-functionally and shipping production-grade solutions fast

We are currently hiring for a Full Stack Developer role with a leading technology-driven team focused on building scalable, AI-integrated systems. Please find the job details below: Role: Full Stack Developer Location: Bangalore Experience: 5-8 years Work mode: Hybrid (3 days/week from office) Job description: High-Level Responsibilities: Build scalable backend services and APIs to support customer-facing prototypes and Human-in-the-Loop (HITL) workflows. Develop secure, efficient data handling processes including batch and near real-time ingestion, processing, and integration of AI outputs. Enable seamless integration of supply chain data, risk scoring systems, scenario modelling, and manual analyst interventions. Collaborate closely with front-end, data science, and architecture teams to deliver end-to-end solutions supporting both customer and analyst needs. Job Requirements: Proficiency in server-side programming languages and frameworks (e.g., Node.js, Python, or Java). Hands-on experience designing RESTful APIs and working with microservices architecture. Strong knowledge of databases, cloud infrastructure, and data integration techniques. Exposure to AI/ML model integration and data pipeline orchestration. Solid understanding of security best practices and excellent problem-solving skills. Regards, Arun Kumar. A

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

About the Role: Grade Level (for internal use): 10 The Role: Foreseer AI Data Scientist III The Team The Foreseer team delivers digital transformation solutions at SPGMI for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers. Responsibilities Include Support and foster a quality-first, agile culture that is built on partnership, trust and sharing Design, develop and maintain functionalities to create new solutions on the platform. Learning and understanding all aspects of the framework and the project deliverables. Be technically deep and provide input on architecture, design and code. Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements. Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing. Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership. Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. Experience & Qualifications BS or MS degree in Computer Science, AI/ML, Data Science or related field. Overall experience should be 8+ Years. 4+ years hands on experience in AI/ML, Data Science or Technology Strategy Strong understanding of AI technologies (e.g. Generative AI, NLP, Computer Vision) and their business applications. Background in Consulting or Corporate strategy with focus on AI. Familiarity with AI platforms (e.g., TensorFlow, PyTorch) and cloud AI services (AWS, GCP, Azure). Hands on experience in leveraging language models for information retrieval. Experience in different data base technologies (like RDBMS, NOSQL) Experience in Containerization, Container orchestration systems, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools Nice to Have Skills Distributed systems programming. Hands on experience in Java and Front-End technologies. Hands on experience with Elastic/Redis search. Experience in Agile and Scrum methodologies Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- , SWP Priority Ratings - (Strategic Workforce Planning)

We have requirements on below Technologies.. This is completely Training and Deploy Program. Java Full Stack Cyber Security AI/ML Mainframe Power Apps .Net Full Stack Developer Live Writing/Under Writing Looking for 2023 , 2024 and 2025 passed outs

Overview This role is in the newly formed Process Excellence & Transformation function in PepsiCos Strategy & Transformation team focused on driving Process Excellence for prioritized initiatives across mega end to end Business Processes. The objective of the role is to lead process diagnostics and re-engineering to deliver business impact through operations excellence, standardization and automation initiatives across markets including those supported by our global Capability Centers. Responsibilities The role will support end-to-end process transformation roadmaps as well as specific transformation teams to identify continuous improvement opportunities to deliver business value and enhance customer experience. Initiatives will include driving and mentoring Lean Six Sigma projects, process modelling, process mining diagnostics, process automations and statistical analysis for performance variation and benchmarking to enable operations teams and business stakeholders to meet their goals. He / She will operate as internal consultants, working with cross-functional and global teams on multiple projects. They will be expected to have great presentation skills and ability to influence change with senior stakeholders, functional experts, and delivery teams. Qualifications They may also be required to conduct Lean Six Sigma Kaizen sessions, facilitate Value Stream Mapping and Design Thinking sessions. They will need to work closely with Hyper Automation teams and be adept in Agile and Scrum methodologies. he role will report to senior leaders in the Process Excellence & Transformation team. As well as the above mandatory requirements, we are also looking for candidates with below-differentiating skills, let us know if you have them, to put your profile on top: Business Process Management and process conformance analysis using process modeling. Process Mining, value enablement, and roadmap execution. Task Mining, opportunity identification for standardization and automation Agile project management to support hyper-automation projects. Experience in AI ML projects to drive process analytics and support business outcomes. Experience in change management to ensure project implementation and adoption Overall, 15-20 years of experience with at least 8+ years experience in quality / Black belt role Possesses a Lean Six Sigma Black Belt Qualification - preferred Track record of delivering enterprise wide transformation Deep understanding for emerging technologies that support Process Automation Experience working with and influencing senior stakeholders Ability to lead cross-functional projects. Working with tight deadlines.

Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.

Role Overview: A leading global financial institution is seeking a forward-thinking and detail-oriented AI Change Model Risk Manager to oversee the governance and risk management of AI and machine learning models within its Markets and Securities Services (MSS) division. In this role, you will be responsible for managing risks related to AI/ML model changes, ensuring compliance with regulatory expectations such as PRA SS1/23, SR11-7, and CRD IV, while supporting end-to-end delivery from proof of concept to production. You will also collaborate with data scientists, quants, model risk teams, and senior stakeholders to drive robust AI governance frameworks. Key Responsibilities: Design and implement governance frameworks for managing AI/ML model changes, including documentation, impact assessment, version control, and triggers. Conduct model risk assessments covering areas like data drift, performance shifts, algorithm changes, and infrastructure updates. Participate in AI change advisory boards and model risk governance forums. Support ongoing regulatory remediation initiatives and ensure alignment with industry standards. Create performance dashboards, KPIs, and Management Information (MI) for senior leadership and risk committees. Guide cross-functional teams through the model deployment lifecycle, ensuring compliance and documentation readiness. Assist in model documentation, change management processes, and completion of governance requirements across AI initiatives. Stay current with regulatory developments, best practices, and emerging risks in AI and ML. Qualifications & Skills: 59 years of relevant experience in AI model governance, credit risk, model risk management, or change/project management. Strong knowledge of regulatory frameworks like SR11-7, SS1/23, or CRD IV. Experience with IFRS 9, PIT PD, LGD model enhancement, or credit risk modelling is highly desirable. Familiarity with AI/ML model development and performance monitoring. Strong analytical skills, attention to detail, and the ability to manage multiple deliverables. Excellent communication and stakeholder engagement abilities. Prior experience with Python is desirable. Academic background in Data Science, AI, Risk Management, Finance, or related field; certifications or online courses are a plus.