22983 Ml Jobs - Page 24

Job Description Comfort level in following Python project management best practices (use of setup.py, logging, pytests, relative module imports,sphinx docs,etc.,) Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,) High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI, Good working knowledge on other open source packages to benchmark and derive summary Experience in using GPU/CPU of cloud and on-prem infrastructures Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs. Use of Dockers (experience in experimental docker features, docker-compose, etc.,) Familiarity with orchestration tools such as airflow, Kubeflow Experience in CI/CD, infrastructure as code tools like terraform etc. Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc., Ability to develop APIs with compliance, ethical, secure and safe AI tools. Good UI skills to visualize and build better applications using Gradio, Dash, Streamlit, React, Django, etc., Deeper understanding of javascript, css, angular, html, etc., is a plus. Responsibilities Design NLP/LLM/GenAI applications/products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML products that could be consumed at scale. Data Engineering: Skillsets to perform distributed computing (specifically parallelism and scalability in Data Processing, Modeling and Inferencing through Spark, Dask, RapidsAI or RapidscuDF) Ability to build python-based APIs (e.g.: use of FastAPIs/ Flask/ Django for APIs) Experience in Elastic Search and Apache Solr is a plus, vector databases. Qualifications Education : Bachelor’s or Master’s Degree in Computer Science, Engineering, Maths or Science Performed any modern NLP/LLM courses/open competitions is also welcomed.

Technical Expertise: Must Have: o Experience in Emma orchestration engine is a must o Proficient in Python programming with experience in agentic platforms from procode (e.g., Autogen, Semantic Kernel, LangGraph) to low code (e.g., Crew.ai, EMA.ai). o Hands-on experience with Azure open AI and related tools and services. o Fluent in GenAI packages like Llamaindex and Langchain. Soft Skills: Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across business and technical teams. Strong problem-solving and analytical skills. Attention to detail. Ability to work with teams in a dynamic, fast-paced environment. Experience: 7 + years of experience in software development, with 3+ years in AI/ML or Generative AI projects. Demonstrated experience in deploying and managing AI applications in production environments. Key Responsibilities: Design, develop, and implement complex Generative AI solutions with high accuracy and for complex use cases. Utilize agentic platforms from procode (e.g., Autogen, Semantic Kernel, LangGraph) to low code (e.g., Crew.ai, EMA.ai). Leverage Azure OpenAI ecosystems and tooling, including training models, advanced prompting, Assistant API, and agent curation. Write efficient, clean, and maintainable Python code for AI applications. Develop and deploy RESTful APIs using frameworks like Flask or Django for model integration and consumption. Fine-tune and optimize AI models for business use cases. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Programming Language - Python - Flask Programming Language - Python - Django Data Science and Machine Learning - Data Science and Machine Learning - Python Data Science and Machine Learning - Data Science and Machine Learning - AI/ML Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight Data Science and Machine Learning - Data Science and Machine Learning - Azure ML Beh - Communication and collaboration

About the Company Cognine was formed by passionate people with engineering backgrounds, intending to provide core software engineering services to clients worldwide. Cognine is an AI-driven technology solutions provider, empowering businesses with AI, Automation, Product Engineering, and Data Intelligence. We help organizations modernize IT ecosystems, build AI-powered applications, streamline operations, and drive innovation with Generative AI and advanced analytics. We have grown from a small team in Chicago & Hyderabad to a global tech organization with 200+ engineers. The culture at Cognine embeds key values of engineering mindset, quality, and transparency into every employee. We have invested in organic growth, building on the sustainable technology strategy, design, data, and engineering capabilities required to bring in a truly integrated approach to solve our client’s toughest challenges. Our collaborative, cross-functional teams deliver tangible results, fast. About the Role Create frameworks to predict a variety of outcomes in different scenarios Create models of customer satisfaction that provide detailed insight into what causes a customer to take different actions Collaborate with other data scientists and stakeholders on projects Develop solutions in R or Python Develop production-grade solutions Work in Hadoop, Redshift, and Spark Translate business and product questions into analytics projects Communicate clearly over written and oral channels while translating complex methodologies and analytical results into high-level insights Qualifications 5-10 years of experience in a data science and/or machine learning role with deep expertise in Python. Strong experience with Azure, Azure ML, and Terraform. Experience building and managing robust CI/CD pipelines for machine learning workflows, including model training, evaluation, and deployment. Excellent verbal and written English communication skills. Preferred Skills Experience with PyTorch. Experience developing and deploying image models.

🚨 We’re Hiring – Join Our Business Excellence Team! 🚨 Are you passionate about transformation, quality, and driving high-impact outcomes? We’re looking for seasoned professionals to lead and support Operational Excellence initiatives in Bangalore and Pune . 🧭 Open Positions: ✅ 1. Senior Transformation & Quality Assurance Manager 📍 Locations : Bangalore (F&A domain) | Pune (Pensions domain; US Healthcare a plus) 💰 CTC : Up to ₹26 LPA (Up to ₹28–30 LPA for Sr. Manager/exceptional candidates) 🖥️ Work Mode : Hybrid What You Bring: ✔️ 15+ years of industry experience with 6–8+ years in Insurance, US Healthcare, F&A, or C&L ✔️ Certified Lean Professional & Six Sigma Black Belt ( Master Black Belt preferred ) ✔️ Proven track record of managing large teams (80–100+ span) ✔️ Strong in stakeholder management, SOP documentation, project delivery, and analytics ✔️ Exposure to AI, ML, Automation , and cutting-edge transformation tools ✔️ Strategic mindset with the ability to lead end-to-end transformation and quality frameworks 📩 Apply at : chhavi.sharma@platinoxconsultants.com ✅ 2. Assistant Manager / Deputy Manager – Process Excellence 📍 Location : Bangalore (2 roles) 💰 CTC : AM – up to ₹13 LPA | DM – up to ₹18 LPA 🖥️ Work Mode : Hybrid What You Bring: ✔️ 8+ years of experience (3+ years in Lean, DMAIC/DMADV, data analytics) ✔️ Certified Six Sigma Yellow Belt (Green Belt/Black Belt preferred) ✔️ Experience in Insurance domain preferred ✔️ Proficient in Excel, Power BI, Visio, Minitab ✔️ Strong communication, stakeholder management & process reengineering skills ✔️ Bonus: Project Management exposure 📩 Apply at : chhavi.sharma@platinoxconsultants.com 🌟 Why Join Us? ✅ Lead strategic transformation initiatives ✅ Work with cross-functional global teams ✅ Be part of a performance-driven, innovation-first culture ✅ Hybrid work flexibility ✅ Opportunities to grow into leadership roles 💡 Know someone who’s a great fit? Tag them or share this post. Let’s build something extraordinary together! #Hiring #QualityAssurance #Transformation #LeanSixSigma #ProcessExcellence #OperationalExcellence #BlackBelt #MasterBlackBelt #LeadershipJobs #Insurance #FandA #Pensions #USHealthcare #BangaloreJobs #PuneJobs #CareerOpportunity #NowHiring

At Umami Bioworks, we are a leading bioplatform for the development and production of sustainable planetary biosolutions. Through the synthesis of machine learning, multi- omics biomarkers, and digital twins, UMAMI has established market-leading capability for discovery and development of cultivated bioproducts that can seamlessly transition to manufacturing with UMAMI’s modular, automated, plug-and-play production solution By partnering with market leaders as their biomanufacturing solution provider, UMAMI is democratizing access to sustainable blue bioeconomy solutions that address a wide range of global challenges. We’re a venture-backed biotech startup located in Singapore where some of the world’s smartest, most passionate people are pioneering a sustainable food future that is attractive and accessible to people around the world. We are united by our collective drive to ask tough questions, take on challenging problems, and apply cutting-edge science and engineering to create a better future for humanity. At Umami Bioworks, you will be encouraged to dream big and will have the freedom to create, invent, and do the best, most impactful work of your career. Umami Bioworks is looking to hire an inquisitive, innovative, and independent Machine Learning Engineer to join our R&D team in Bangalore, India, to develop scalable, modular ML infrastructure integrating predictive and optimization models across biological and product domains. The role focuses on orchestrating models for media formulation, bioprocess tuning, metabolic modeling, and sensory analysis to drive data-informed R&D. The ideal candidate combines strong software engineering skills with multi-model system experience, collaborating closely with researchers to abstract biological complexity and enhance predictive accuracy. Responsibilities Design and build the overall architecture for a multi-model ML system that integrates distinct models (e.g., media prediction, bioprocess optimization, sensory profile, GEM-based outputs) into a unified decision pipeline Develop robust interfaces between sub-models to enable modularity, information flow, and cross-validation across stages (e.g., outputs of one model feeding into another) Implement model orchestration logic to allow conditional routing, fallback mechanisms, and ensemble strategies across different models Build and maintain pipelines for training, testing, and deploying multiple models across different data domains Optimize inference efficiency and reproducibility by designing clean APIs and containerized deployments Translate conceptual product flow into technical architecture diagrams, integration roadmaps, and modular codebases Implement model monitoring and versioning infrastructure to track performance drift, flag outliers, and allow comparison across iterations Collaborate with data engineers and researchers to abstract away biological complexity and ensure a smooth ML-only engineering focus Lead efforts to refactor and scale ML infrastructure for future integrations (e.g., generative layers, reinforcement learning modules) Qualifications Bachelor’s or Master’s degree in Computer Science, Machine Learning, Computational Biology, Data Science, or a related field Proven experience developing and deploying multi-model machine learning systems in a scientific or numerical domain Exposure to hybrid modeling approaches and/or reinforcement learning strategies Experience Experience with multi-model systems Worked with numerical/scientific datasets (multi-modal datasets) Hybrid modelling and/or RL (AI systems) Core Technical Skills Machine Learning Frameworks: PyTorch, TensorFlow, scikit-learn, XGBoost, CatBoost Model Orchestration: MLflow, Prefect, Airflow Multi-model Systems: Ensemble learning, model stacking, conditional pipelines Reinforcement Learning: RLlib, Stable-Baselines3 Optimization Libraries: Optuna, Hyperopt, GPyOpt Numerical & Scientific Computing: NumPy, SciPy, panda Containerization & Deployment: Docker, FastAPI Workflow Management: Snakemake, Nextflow ETL & Data Pipelines: pandas pipelines, PySpark Data Versioning: Git API Design for modular ML blocks You will work directly with other members of our small but growing team to do cutting-edge science and will have the autonomy to test new ideas and identify better ways to do things.

Responsibilities: Develop and execute the AI/ML strategy aligned with the organization's overall goals. Drive innovation in AI/ML technologies and solutions to enhance business outcomes. Mentor and guide team members in developing technical skills. Oversee the end-to-end delivery of AI/ML projects from inception to deployment. Ensure projects are delivered on time, within budget, and meet quality standards. Collaborate with clients to understand their AI/ML needs and propose tailored solutions. Act as a thought leader in AI/ML during client interactions and presentations. Stay updated with the latest trends and advancements in latest technologies. Evaluate and implement new tools, frameworks, and methodologies to improve AI/ML capabilities. Work closely with cross-functional teams including sales, marketing, and product management. Build strong relationships with key stakeholders to drive AI/ML adoption across the organization. Requirements: Proven experience 10+ years in leading AI/ML initiatives within a similar role. Strong technical background in machine learning, deep learning, natural language processing, etc. Hands-on experience with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Excellent leadership and communication skills with the ability to inspire and motivate teams. Advanced degree (Masters or PhD) in Computer Science, Engineering, or related field preferred.

Description As a Research Analyst, you'll collaborate with experts to develop advance machine learning solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. Key job responsibilities Collaborate with Applied Scientists to implement ML/LLM solutions that meet business goals Conduct product pilots demonstrating customer obsession and innovation Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques Act as a bridge between science and software teams to deliver optimized solutions Communicate technical concepts to stakeholders at all levels Develop technical documentation for Design specifications, Algorithms, Implementation challenges and Performance metrics Monitor and maintain existing solutions to ensure peak performance About The Team The Retail Business Systems (RBS) group is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best catalog quality, wide selection, supply chain defects and compliance programs. The team’s primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled have a direct impact on customer buying decisions and online user experience. Basic Qualifications Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) 1+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Strong analytical thinking Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. Preferred Qualifications Master's degree with specialization in ML, NLP or Computer Vision preferred 1+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A3017880

About the Role We are seeking a business-focused Enterprise Solutions Architect with deep experience across the pharmaceutical value chain — from early R&D and clinical development to commercial launch and real-world data integration. This role will work closely with Pharma and CRO clients to shape digital solutions, lead proposal development, and build transformative strategies using AI, data, and platform-centric innovations. What You Will Do Lead solutioning across the Pharma value chain , including: Pre-clinical and clinical trial digitization (e.g., eSource, EDC, DCT enablement) Clinical operations optimization and patient data flow management Lab digitization and automation with LIMS, ELN, CDS platforms CRO workflow modernization, including site engagement, eCOA, and data submission support Real-world data integration and analytics for post-approval studies and evidence generation Commercial analytics and omnichannel launch strategies Shape data-centric solutions across structured/unstructured clinical and real-world data with cloud-native architectures and AI enablement . Ideate AI/ML-enabled or NextGen solutions for: Trial optimization (site selection, patient matching, adherence prediction) Patient journey analytics and digital twin use cases in commercialization Brand performance forecasting and medical rep targeting Build differentiated proposals, solution POVs, and reusable digital assets for Pharma and CRO clients . Collaborate with delivery, product, and platform teams to co-develop ready-to-deploy solution frameworks and demos . Contribute to GTM initiatives by creating internal playbooks, sales kits, and co-innovation plans . What You Need Mandatory Qualifications: Bachelor’s or Master’s degree in Life Sciences, Pharmacy, Clinical Research, or Data/Engineering fields . 10+ years of experience in pharma technology services, clinical systems, or commercial pharma analytics . Deep understanding of end-to-end pharma processes , including clinical development, lab workflows, commercial ops, and data governance. Experience in solutioning around platforms like Medidata, Veeva Clinical Suite, Oracle Clinical, LabVantage, Spotfire, and Snowflake . Strong knowledge of CRO operating models , including site engagement, monitoring, and data services. Hands-on experience in developing solution architectures using cloud platforms (AWS, Azure) , AI/ML frameworks, and analytics platforms. Preferred Background: Previous experience in top IT engineering or ER&D organizations with Life Sciences clients. Proven track record in solutioning for digital trials, lab modernization, or post-launch data integration . Familiarity with DCT frameworks, ePRO/eCOA, and digital patient experience platforms . Strong collaboration, presentation, and executive communication skills . What Makes You Eligible Proven leadership in pharma digital transformation initiatives and enterprise solutioning. Strong ability to work cross-functionally with client teams, product leaders, architects, and delivery teams . Experience in building high-impact, AI/ML-driven pharma solutions across clinical, lab, and commercial functions. Demonstrated success in building solution POVs, GTM playbooks, and digital accelerators for Pharma and CRO clients.

This role is for one of Weekday's clients Salary range: Rs 1000000 - Rs 1500000 (ie INR 10-15 LPA) Min Experience: 5 years Location: Bengaluru JobType: full-time Requirements We are seeking a highly skilled and experienced Computer Vision Engineer to join our growing AI team. This role is ideal for someone with strong expertise in deep learning and a solid background in real-time video analytics, model deployment, and computer vision applications. You'll be responsible for developing scalable computer vision pipelines and deploying them across cloud and edge environments, helping build intelligent visual systems that solve real-world problems. Key Responsibilities: Model Development & Training: Design, train, and optimize deep learning models for object detection, segmentation, and tracking using frameworks like YOLO, UNet, Mask R-CNN, and Deep SORT. Computer Vision Applications: Build robust pipelines for computer vision applications including image classification, real-time object tracking, and video analytics using OpenCV, NumPy, and TensorFlow/PyTorch. Deployment & Optimization: Deploy trained models on Linux-based GPU systems and edge devices (e.g., Jetson Nano, Google Coral), ensuring low-latency performance and efficient hardware utilization. Real-Time Inference: Implement and optimize real-time inference systems, ensuring minimal delay in video processing pipelines. Model Management: Utilize tools like Docker, Git, and MLflow (or similar) for version control, environment management, and model lifecycle tracking. Collaboration & Documentation: Work cross-functionally with hardware, backend, and software teams. Document designs, architectures, and research findings to ensure reproducibility and scalability. Technical Expertise Required: Languages & Libraries: Advanced proficiency in Python and solid experience with OpenCV, NumPy, and other image processing libraries. Deep Learning Frameworks: Hands-on experience with TensorFlow, PyTorch, and integration with model training pipelines. Computer Vision Models: Object Detection: YOLO (all versions) Segmentation: UNet, Mask R-CNN Tracking: Deep SORT or similar Deployment Skills: Real-time video analytics implementation and optimization Experience with Docker for containerization Version control using Git Model tracking using MLflow or comparable tools Platform Experience: Proven experience in deploying models on Linux-based GPU environments and edge devices (e.g., NVIDIA Jetson family, Coral TPU). Professional & Educational Requirements: Education: B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or related discipline. Experience: Minimum 5 years of industry experience in AI/ML with a strong focus on computer vision and system-level design. Proven portfolio of production-level projects in image/video processing or real-time systems. Preferred Qualities: Strong problem-solving and debugging skills Excellent communication and teamwork capabilities A passion for building smart, scalable vision systems A proactive and independent approach to research and implementation

Key responsibilities include: Ensure successful implementation of products & solutions to the customers Understand client needs and effectively communicate with implementation teams (Product Owners, IT, and end users) Lead client discussions, prepare presentations – solutions, project plan, budget, project health Define and manage a product vision, roadmap & growth opportunity that serves internal stakeholders and external stakeholders Lead complex projects & development of platform. Lead the project team to develop new state of the art and cutting-edge data pipeline architectures for complex distributed systems. Align requirements with internal and external partners and customers & coordinate with vendors. Ensure SLA, cost efficiency, scalability, resilience, and legality of CRISIL data pipelines. Participate in planning sessions and other related meetings and sessions with internal business users as well as external customers; take the lead of scrum teams & providing vision and direction to the Agile development team and stakeholders throughout the project and create requirements Review, plan and prioritize product feature backlog and development for the product Assess value, develop cases, and prioritize stories, epics and themes to ensure work focuses on those with maximum value that are aligned with product strategy Provide backlog management, iteration planning, and elaboration of the user stories Work closely with Product Management to create and maintain a product backlog according to business value or ROI Lead the planning product release plans and set the expectation for delivery of new functionalities Provide an active role in mitigating impediments impacting successful team completion of Release/Sprint Goals Research and analyze market, the users, and the roadmap for the product. Follow our competitors and the industry Manage team of BA's/Senior BA's/Junior POs in enabling delivery of product Candidate Profile Experience as Product Owner in Platform or Data Analytics products Master’s in Finance, computer science, Engineering or similar relevant field or engineering Graduate with MBA. In-depth knowledge of Agile process and principles Experience in managing AI enabled products (including gen AI) Technical aptitude: past experience in business analysis, data management or analytics highly preferred Intermediate SQL skills and advanced documentation skills. Excellent communication, presentation and leadership skills Excellent organizational and time management skills Sharp analytical and problem-solving skills Creative thinker with a vision Work Experience Work experience as a product owner/business analyst in BFSI sector either in IT Services Company or Product Based Company working with digital transformation journey. Experience in leading ML/AI driven projects Understanding and experience of Product Development Life Cycle, Product backlog and experience of working in an Agile development environment Proven business analysis skills and strong understanding of system architecture with experience in BFSI risk regulatory domain solution is a plus Excellent written and verbal communication, including technical writing skills The ability to conduct cost/benefit analysis, drive key metrics in project delivery

Overview We are seeking a skilled Associate Manager - AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent Communication: Ability to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric Approach: Strong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & Accountability: Proactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth Mindset: Willingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational Excellence: Experience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & Automation: Understanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional Collaboration: Ability to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

Job Title: Senior AI Engineer – GenAI & ML Solutions Location: Pune / Mumbai (Hybrid Work Model) Experience: 4–7 Years (Minimum 2 Years in AI Development) Industry: Credit Rating & Financial Analytics About Us: Join a leading global credit rating and financial analytics powerhouse where innovation meets finance! We leverage cutting-edge AI and analytics to deliver state of the art solutions. As we embark on our next growth phase, we’re looking for a passionate AI Engineer to propel our AI capabilities into the future — redefining how financial intelligence is powered and delivered. Why Join Us? Be at the forefront of AI innovation in finance technology with exposure to next-gen GenAI techniques. Collaborate with dynamic global teams spanning finance, technology, and client solutions. Work in a hybrid setup in Pune or Mumbai, blending flexibility with the spirit of teamwork. Opportunity to directly influence client-facing AI solutions impacting real-world business outcomes. Grow your career in an environment that champions best coding practices, continuous learning, and breakthrough AI deployments on cloud platforms. What You’ll Do: Develop and deploy advanced AI solutions using the latest Generative AI techniques including: Retrieval-Augmented Generation (RAG) pipelines. Designing and building Agentic AI systems to automate complex decision-making workflows. Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content generation. Build scalable AI workflows, adhering to robust engineering and code quality standards. Lead end-to-end AI solution development lifecycle — from prototyping and experimentation to deployment on cloud platforms (AWS, Azure, or GCP). Collaborate closely with cross-functional global teams — financial analysts, technology architects, and client stakeholders — to translate business challenges into AI-driven solutions. Continuously evaluate emerging AI technologies and research to keep our AI toolkit state-of-the-art. What We’re Looking For: Experience & Skills: 4 to 7 years of experience in software engineering/development with a minimum 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies — RAG frameworks, agent-based AI design patterns, fine-tuning techniques for SLM. Strong programming skills in Python with a focus on clean, maintainable, and performant code. Proven experience deploying AI/ML solutions on cloud platforms (AWS, Azure, GCP) with familiarity in containerization, orchestration, and CI/CD pipelines. Having a public Github code repository or Kaggle profile will be a big plus. Solid understanding of data structures, algorithms, software design principles, and scalable system design. Exposure to NLP, knowledge graphs, ML ops, or similar related areas is a big plus. Decent communication skills to effectively collaborate across global teams and handle client interactions. Self-driven, proactive mindset with a passion for problem-solving and innovation. Educational Background: Bachelor’s or Master’s degree from premier Indian institutes (IITs, IISc, NITs, BITS, IIITs etc.) in: Computer Science Any Engineering discipline Mathematics or related quantitative fields.

Job Title: AI Engineer – GenAI & ML Solutions Location: Pune / Mumbai (Hybrid Work Model) Experience: 2–4 Years (Minimum 2 Years in AI Development) Industry: Credit Rating & Financial Analytics About Us: Join a leading global credit rating and financial analytics powerhouse where innovation meets finance! We leverage cutting-edge AI and analytics to deliver state of the art solutions. As we embark on our next growth phase, we’re looking for a passionate AI Engineer to propel our AI capabilities into the future — redefining how financial intelligence is powered and delivered. Why Join Us? Be at the forefront of AI innovation in finance technology with exposure to next-gen GenAI techniques. Collaborate with dynamic global teams spanning finance, technology, and client solutions. Work in a hybrid setup in Pune or Mumbai, blending flexibility with the spirit of teamwork. Opportunity to directly influence client-facing AI solutions impacting real-world business outcomes. Grow your career in an environment that champions best coding practices, continuous learning, and breakthrough AI deployments on cloud platforms. What You’ll Do: Develop and deploy advanced AI solutions using the latest Generative AI techniques including: Retrieval-Augmented Generation (RAG) pipelines. Designing and building Agentic AI systems to automate complex decision-making workflows. Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content generation. Build scalable AI workflows, adhering to robust engineering and code quality standards. Lead end-to-end AI solution development lifecycle — from prototyping and experimentation to deployment on cloud platforms (AWS, Azure, or GCP). Collaborate closely with cross-functional global teams — financial analysts, technology architects, and client stakeholders to translate business challenges into AI-driven solutions. Continuously evaluate emerging AI technologies and research to keep our AI toolkit state-of-the-art. What We’re Looking For: Experience & Skills: 4 to 7 years of experience in software engineering/development with a minimum 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies — RAG frameworks, agent-based AI design patterns, fine-tuning techniques for SLM. Strong programming skills in Python with a focus on clean, maintainable, and performant code. Proven experience deploying AI/ML solutions on cloud platforms (AWS, Azure, GCP) with familiarity in containerization, orchestration, and CI/CD pipelines. Having a public Github code repository or Kaggle profile will be a big plus. Solid understanding of data structures, algorithms, software design principles, and scalable system design. Exposure to NLP, knowledge graphs, ML ops, or similar related areas is a big plus. Decent communication skills to effectively collaborate across global teams and handle client interactions. Self-driven, proactive mindset with a passion for problem-solving and innovation. Educational Background: Bachelor’s or Master’s degree from premier Indian institutes (IITs, IISc, NITs, BITS, IIITs etc.) in: Computer Science Any Engineering discipline Mathematics or related quantitative fields.

Cyara is the world’s leading Automated CX Assurance Platform provider, helping leading brands across the globe deliver better CX with less effort, cost, and risk. Cyara supports the entire CX software development lifecycle, from design to functional and regression testing, load testing, chatbot testing, and production monitoring, ensuring enterprises can build flawless customer journeys across voice and digital channels while reducing the risk of customer-facing defects. Every day, the most recognizable brands across the globe trust Cyara to deliver customer smiles at scale. Interested to find out more about us? Check out: www.cyara.com Want to know what it’s really like to work at Cyara? Check out this link to meet some real Cyaran’s and read about their individual career journey with us: https://cyara.com/employee-profiles/ Cyara’s Diversity, Equity, Inclusive and Belonging Statement: At Cyara, we are dedicated to fostering a workplace that embodies equal opportunity and champions diversity, equity, inclusion, and belonging (DEIB). We strive to cultivate an environment where every individual feels valued, respected, and empowered to bring their whole selves to work, contributing unique perspectives and talents. Our commitment includes continuously evaluating and enhancing our policies, practices, and culture to align with our DEIB principles. We ensure a discrimination-free environment where individuals are evaluated solely on their merits and abilities, regardless of legally protected statuses such as sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, gender identity, veteran status, or medical condition. By celebrating our differences and championing inclusivity, we enrich our organization, make more thoughtful decisions, and drive collective success. Cyara’s Values Statement: At Cyara, our values shape everything we do. We're passionate about Delivering Excellence by putting the customer first, collaborating globally, and always striving to improve. We take smart risks and Innovate Boldly, setting new standards and learning from every experience. Integrity First is our cornerstone—we value humility, authenticity, and respect for diversity, building trust in all we do. We Embrace Curiosity by empowering you to experiment, learn, and grow in a dynamic environment. At Cyara, our values drive us forward, shaping a culture where innovation and excellence thrive. Key Responsibilities Define, own, and execute the end-to-end test strategy for the CX assurance platform, ensuring high test coverage, efficiency, and scalability Design and implement automated test cases that evaluate: The quality and variance of outputs from deep insights and analytics of training models The reliability and reasoning in AI trust tests, including hallucination detection, grounding, and consistency Build and maintain automated test frameworks using JavaScript/TypeScript, Node.js, React, and Cypress Monitor and analyze test results, identify regressions, and proactively drive resolution Continuously improve test infrastructure and CI/CD pipeline integration to ensure fast, reliable feedback loops Required Skills And Qualifications Technical Expertise Strong proficiency in JavaScript/TypeScript, with hands-on experience in Node.js and React applications Deep experience with end-to-end testing frameworks, especially Cypress AI/ML & Data Science Knowledge Working knowledge of machine learning fundamentals and model evaluation techniques Familiarity with k-fold cross-validation, precision/recall/F1 metrics, and analyzing model performance across datasets Understanding of AI trustworthiness principles such as interpretability, robustness, and bias detection Test Strategy and Leadership Proven experience owning the test strategy for complex systems, including planning, execution, and test architecture Ability to define coverage metrics, assess test gaps, and drive toward measurable quality goals Experience working in agile/Scrum environments, actively participating in story grooming and sprint planning Soft Skills Strong analytical and problem-solving skills with attention to detail Excellent communication skills for cross-functional collaboration A mindset of ownership, initiative, and continuous improvement Why you should join us: At Cyara you’ll have the opportunity to work with a group of people who share common goals, are driven by a similar passion, and value the expertise of their peers. Cyara is committed to being an equal opportunity employer, focused on building and maintaining a diverse, inclusive and authentic workplace; and a work environment that is free from discrimination and harassment, based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy. At Cyara we appreciate and welcome the fact that our culture is living and growing as we continue to evolve over time. With this opportunity comes the chance to enjoy a flexible work environment, competitive compensation and a work culture that's results-oriented, fast-paced and focused on continuous improvement, whilst maintaining a family first, team oriented, and ever positive atmosphere. Cyara cares for its own - you’ll feel that on your first day - and you'll get the chance to work for a global, growing company, and an all-inclusive team of innovators. We credit our amazing growth and success to the fact that we’ve built our business on four essential values that we live and breathe every day: Deliver Excellence Innovate Boldly Integrity First Embrace Curiosity Interested? Know someone who might be? Apply online now. Agencies: Thanks but we’ve got this one! Please, no phone calls or emails to any employees of Cyara outside of the Talent Acquisition team. Cyara’s policy is to only accept resumes from Agencies via the Cyara Agency Portal. Agencies must have a valid fee agreement in place and they must have been assigned the specific requisition to which they submit resumes, by the Cyara Talent Acquisition team before submitting any CV's. Any resume submitted outside of this process will be deemed the sole property of Cyara and, in the event, a candidate is submitted outside of this policy is hired, no fee or payment of any kind will be paid

Description Have you ever thought about what it takes to detect and prevent fraudulent activity in hundreds of millions of eCommerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and emerging abuse threats? Our mission in Buyer Risk Prevention (BRP) is to make Amazon.com the safest place to transact online. BRP safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers. As such, BRP designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com Key job responsibilities Risk Analyst will own analytical deep dives to identify emerging abuse patterns and communicate findings to ML teams, Program Managers and other cross-functional partners. The successful candidate will demonstrate an ability to thrive in a fast-paced and challenging environment and partner with stakeholders across multiple domains. A day in the life Role A typical day for a Risk Analyst revolves around leveraging advanced analytical techniques and tools to uncover patterns, anomalies, and potential abuse schemes. This role will: Provide time sensitive analytics to partner teams Deep Dive on emerging abuse patterns using SQL on large datasets Identify root cause and work with partners such as ML teams to develop sustainable solutions. About The Team Abuse Risk Mining Analytics' mission is to combine the latest data science techniques with investigator insights to detect and prevent abuse & negative customer experiences across Amazon. Basic Qualifications Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Bachelor's degree or equivalent Experience in tax, finance or a related analytical field Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages Preferred Qualifications Experience scripting for automation (e.g., Python, Perl, Ruby) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 20 SEZ - H94 Job ID: A3000660

As a Senior ML Engineer / ML Ops - GCP Specialist at Incedo, you will be responsible for building and deploying machine learning models in production environments. You will work with data scientists, data engineers, and software developers to design and implement machine learning pipelines. You will be skilled in programming languages such as Python or Java and have experience in ML tools such as TensorFlow or PyTorch. You will be responsible for ensuring that models are scalable, efficient, and can be deployed in production environments. Roles & Responsibilities: Designing and developing machine learning (ML) models and algorithms Implementing and maintaining ML pipelines and workflows Collaborating with data scientists and analysts to deploy and monitor ML models Developing and implementing ML deployment and monitoring strategies Providing guidance and mentorship to junior ML engineers Troubleshooting and resolving ML platform issues Technical Skills Skills Requirements: Proficiency in programming languages such as Python, Java, or Scala. Understanding of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. Knowledge of cloud computing and containerization technologies such as Docker, Kubernetes, or AWS. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Designation - Data architect Location - Noida , Gurgaon , Delhi, Hyderabad Domain - Telecom experience Responsibilities:  Design and articulate enterprise-scale telecom data architectures incorporating TMforum standards and frameworks, including SID (Shared Information/Data Model), TAM (Telecom Application Map), and eTOM (enhanced Telecom Operations Map)  Develop comprehensive data models aligned with TMforum guidelines for telecommunications domains such as Customer, Product, Service, Resource, and Partner management  Create data architectures that support telecom-specific use cases including customer journey analytics, network performance optimization, fraud detection, and revenue assurance  Design solutions leveraging Microsoft Azure and Databricks for telecom data processing and analytics  Conduct technical discovery sessions with telecom clients to understand their OSS/BSS architecture, network analytics needs, customer experience requirements, and digital transformation objectives  Design and deliver proof of concepts (POCs) and technical demonstrations showcasing modern data platforms solving real-world telecommunications challenges  Create comprehensive architectural diagrams and implementation roadmaps for telecom data ecosystems spanning cloud, on-premises, and hybrid environments  Evaluate and recommend appropriate big data technologies, cloud platforms, and processing frameworks based on telecom-specific requirements and regulatory compliance needs.  Design data governance frameworks compliant with telecom industry standards and regulatory requirements (GDPR, data localization, etc.)  Stay current with the latest advancements in data technologies including cloud services, data processing frameworks, and AI/ML capabilities  Contribute to the development of best practices, reference architectures, and reusable solution components for accelerating proposal development Qualifications:  Bachelor's or Master's degree in Computer Science, Telecommunications Engineering, Data Science, or a related technical field  10+ years of experience in data architecture, data engineering, or solution architecture roles with at least 5 years in telecommunications industry  Deep knowledge of TMforum frameworks including SID (Shared Information/Data Model), eTOM, TAM, and their practical implementation in telecom data architectures

About The Role Grade Level (for internal use): 05 The Team You will join a team of industry experts who will work with you to accelerate your development. With exciting learning opportunities at its core, we'll help you focus on building the essential skills. We provide industry-leading data, software and technology platforms and managed services to tackle some of the most difficult challenges in financial markets. What’s In It For You On-the-job experience focusing on high impact work that allows you to apply and develop your skills. Networking, business insights and tailored learning opportunities all support your growth and development, setting you up for success as you begin your career. You will have the opportunity to experience a high-level of collaboration and cross-training on a range of applications. We offer a collaborative, global, quality engineering team that is accustomed to helping one another learn and excel while working to continuously improve the level of quality delivered to our internal and external users. The Impact We help our customers better understand complicated markets, reduce risk, operate more efficiently, and comply with financial regulations. Our services benefit the entire financial enterprise, from traders, portfolio managers, risk managers, compliance officers and operations teams to regulators and many others. Responsibilities Learn, design and implement technical solutions. Develop products using technologies that are scalable and resilient. Solve complex data engineering problems. Develop products using Cloud Native technologies. Develop products that provide best Customer Experience. Infrastructure as Code (IaC): Collaborate with the DevOps team to develop and maintain infrastructure as code using tools like Terraform or CloudFormation. Continuous Integration/Continuous Deployment (CI/CD): Participate in the implementation and improvement of CI/CD pipelines for software delivery. Monitoring and Logging: Help set up monitoring and logging solutions to ensure the health and performance of our systems and applications. Security: Contribute to implementing security best practices, including access control, encryption, and vulnerability scanning. Documentation: Create and update documentation for infrastructure and deployment processes. Collaboration: Work closely with development and operations teams to ensure smooth integration and deployment of applications. Learning and Growth: Stay up to date with DevOps trends and best practices, actively seeking opportunities for skill development. Basic Qualifications B.Tech (CS/ IT) degree in Computer Science, Data Science, or related technical field Knowledge in programming using Python Knowledge in any of database, SQL/PL-SQL, writing queries and RDBMS Theoretical knowledge AI/ML & Large Language Model applications Ability to document requirements and specifications Strong communication skills and ability to produce clear, concise and detailed documentation Excellent problem solving, analytical and technical troubleshooting skills Ability to work in a Hybrid office environment with at least two days on site per week About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf Job ID: 308442 Posted On: 2025-07-21 Location: Hyderabad, Telangana, India

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Cross Service Line Solution Architects - Global Managed Services At EY GDS – a member of the global integrated service delivery centre network by EY, Managed Services (MS) is a significant part of our business, comprising more than $7b in revenue with major clients across the globe. We help clients with people based, asset based & integrated solutions, leveraging our deep sector and domain expertise to deliver enhanced value to our clients. In MS we are also ambitious, seeking to more than double our success in the future. The opportunity Global Managed services business at EY at its inflexion point and poised for fast faced growth across our portfolio of solutions and offering that we take to the market. As a member of the solution team you will be responsible to leverage your experience and expertise to create be-spoke solutions aligned to client objectives and transformation aspirations. In addition to creating the solution you will also be responsible to participate in business development activities and support our frontline sales team in effectively engaging with target clients from the point of identification of the business opportunity to the point it is set up for consistent and predictable delivery stage. Your Key Responsibilities This role is expected to participate in pursuit teams depending on the size, complexity of the opportunity. Deal teams may comprise of cross service line teams. Lead and/or manage due diligence exercises pre and post contract analysing client’s as-is state, assess risks and commercial impact in best interest of the client and EY. Understand client’s business environment and create compelling value proposition Be well versed with art of possible across multiple dimensions – people, process, technology. Driving automation, operational excellence and transformation. Design of target client solution (resourcing, location, technology, integration), transition and transformation program, based upon internal and external IP and assets You will be required to make complex decisions factoring delivery capabilities, available client data, advancements in technology and competitive positioning of EY solutions Provide input towards the design of a specific priority managed services offering over the development lifecycle with particular focus on delivery components necessary to deploy a viable solution for our clients Support the Managed Services Delivery Team with the transition and establishment of the managed services Run training programs for potential managed services solution architect and offering leads Support the recruitment and development of solution talent into the Managed Services team Knowledge of leading platforms and tools in Finance / Risk management / IT services Skills And Attributes For Success Excellent inter-personal skills to be able to rally diverse teams to work collaboratively and effectively Positive attitude to unlearn and learn new ways of working Ability to understand client goals and connect the dots with respect to EY capabilities- domain expertise, technology, frameworks to solve client challenges. Experience in Coaching, Mentoring and Developing people Experience across end to end Managed Services life cycle Flexibility to work with various EY stakeholders across the world and in different time zones. To qualify for the role, you must have Degree in Business, Finance, Technology IT or related fields 8+ years of relevant industry experience Passion for problem-solving and helping our clients with some of their most complex issues Experience in developing integrated managed services solutions primarily around Tech Ops: SAP, ServiceNow, MS Dynamics, Data & Analytics, App modernization, Gen AI, AI/ML Operations Business Operations: High end Finance operations including but not limited to Tax, Treasury, Consolidation, Revenue Assurance, Complex Regulatory compliance reporting etc. Supply Chain operations including but not limited to strategic sourcing, procurement, vendor management etc. Mobility and Payroll operations. Risk: Transform and operate risk and controls functions including enterprise risk, enterprise resilience, compliance, internal audit, and controls and protect value across stakeholders in the long term Industry focused experience sectors like FSO (Banking & Capital Markets, Wealth & Asset Management Insurance), Consumer Products & Retail, Technology, Manufacturing, Life Sciences, Oil & Gas, Power& Utilities, Telecom Ideally, you’ll also have You may have certification in architecture degree such as TOGAF Proficiency in Design Thinking and Agile Methodology You will have core understanding of the big four and their got-to-market propositions What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the you may aspire to become. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Key Responsibilities: • Architect and design complex, scalable workflows and solutions that align with business needs and technology goals. • Develop cloud-native architectures, ensuring scalability, performance, and security for enterprise applications. • Lead initiatives to improve data interoperability, ensuring seamless integration of systems and enabling efficient data exchange across diverse platforms. • Lead the design and implementation of robust APIs, ensuring that they enable effective system integration, scalability, and data flow. • Advocate for and implement DevOps best practices, including CI/CD pipelines, infrastructure automation, and operational excellence. Good to have: • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. • 10-12 years of experience in software architecture, with expertise in cloud-native architectures and data integration strategies. • Strong experience in at least one major cloud platform (e.g., AWS, Azure, Google Cloud) and multi-cloud strategies. • Proficient in DevOps tools and practices (e.g., Docker, Kubernetes, Jenkins, Terraform) with a focus on automation and infrastructure-as-code. • Experience with AI/ML frameworks and the ability to integrate machine learning solutions into enterprise architectures. • Proven experience with data interoperability frameworks and tools, ensuring the seamless flow of data between different systems.

Title: Investment Management and Risk Data Product Owner - ISS Data (Associate Director) Department: Technology Reports To: Data Analysis Chapter Lead Level: Associate Director About your team The Technology function provides IT services that are integral to running an efficient run-the business operating model and providing change-driven solutions to meet outcomes that deliver on our business strategy. These include the development and support of business applications that underpin our revenue, operational, compliance, finance, legal, marketing and customer service functions. The broader organisation incorporates Infrastructure services that the firm relies on to operate on a day-to-day basis including data centre, networks, proximity services, security, voice, incident management and remediation. The ISS Technology group is responsible for providing Technology solutions to the Investment Solutions & Services (ISS) business (which covers Investment Management, Asset Management Operations & Distribution business units globally) The ISS Technology team supports and enhances existing applications as well as designs, builds and procures new solutions to meet requirements and enable the evolving business strategy. As part of this group, a dedicated ISS Data Programme team has been mobilised as a key foundational programme to support the execution of the overarching ISS strategy. About your role The Investment and Risk & Attribution Data Product Owner role is instrumental in the creation and execution of a future state design for investment and risk data across Fidelitys key business areas. The successful candidate will have an in-depth knowledge of all data domains that services Investment management, risk and attribution capabilities within the asset management industry. The role will sit within the ISS Delivery Data Analysis chapter and fully aligned to deliver Fidelitys cross functional ISS Data Programme in Technology, and the candidate will leverage their extensive industry knowledge to build a future state platform in collaboration with Business Architecture, Data Architecture, and business stakeholders. The role is to maintain strong relationships with the various business contacts to ensure a superior service to our clients. Key Responsibilities Leadership and Management: Lead the Investment and Risk data outcomes and capabilities for the ISS Data Programme. Realign existing resources and provide coaching and line management for junior data analysts within the chapter, influence and motivate them for high performance. Define the data product vision and strategy with end-to-end thought leadership. Lead data product documentation, enable peer-reviews, get analysis effort estimation, maintain backlog, and support end to end planning. Be a catalyst of change for improving efficiencies and innovation. Data Quality and Integrity: Define data quality use cases for all the required data sets and contribute to the technical frameworks of data quality. Align the functional solution with the best practice data architecture & engineering. Coordination and Communication: Senior management level communication to influence senior tech and business stakeholders globally, get alignment on the roadmaps. An advocate for the ISS Data Programme. Coordinate with internal and external teams to communicate with those impacted by data flows. Collaborate closely with Data Governance, Business Architecture, and Data owners etc. Conduct workshops within the scrum teams and across business teams, effectively document the minutes and drive the actions. About you Strong leadership and senior management level communication, internal and external client management and influencing skills. At least 15 years of proven experience as a senior business/technical/data analyst within technology and/or business change delivering data led business outcomes within the financial services/asset management industry. 5-10 years s a data product owner adhering to agile methodology, delivering data solutions using industry leading data platforms such as Snowflake, State Street Alpha Data, Refinitiv Eikon, SimCorp Dimension, BlackRock Aladdin, FactSet etc. In depth knowledge of how data vendor solutions such as Rimes, Bloomberg, MSCI, FactSet support Investment, Risk, Performance and Attribution business needs. Outstanding knowledge of data life cycle that drives Investment Management such as research, order management, trading, risk and attribution. In depth expertise in data and calculations across the investment industry covering the below. Financial data: This includes information on asset prices, market trends, economic indicators, interest rates, and other financial metrics that help in evaluating asset performance and making investment decisions. Asset-specific data: This includes data related to financial instruments reference data like asset specifications, maintenance records, usage history, and depreciation schedules. Market data: This includes data like security prices, exchange rates, index constituent and licensing restrictions on them. Risk data: This includes data related to risk factors such as market risk, credit risk, operational risk, and compliance risk. Performance & Attribution data: This includes data on fund performance returns and attribution using various methodologies like Time Weighted Returns, Transaction based performance attribution. Should possess Problem Solving, Attention to detail, Critical thinking. Technical Skills: Hands on SQL, Advanced Excel, Python, ML (optional) and knowledge of end-to-end tech solutions involving data platforms. Knowledge of data management, data governance and data engineering practices. Hands on experience on data modelling techniques like dimensional, data vault etc. Willingness to own and drive things, collaboration across business and tech stakeholders.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. IT Project Manager – Pharma & Life Sciences (Health Research & Benchmarking) Role Overview: We are seeking an experienced IT Project Manager with a strong background in the Pharma and Life Sciences domain , particularly in Health Research & Benchmarking . This role requires a professional who can bridge the gap between technology and health outcomes research, leading cross-functional teams and managing projects related to HTA, HEOR, RWE , and comparative effectiveness research . Familiarity with tools such as Flatiron, IQVIA , and various Real-World Data (RWD) sources is essential. Key Responsibilities: Lead end-to-end IT project management in health research and life sciences initiatives. Collaborate with cross-functional stakeholders including researchers, data scientists, compliance teams, and IT developers. Manage and deliver projects involving: Health Technology Assessment (HTA) Health Economics and Outcomes Research (HEOR) Real-World Evidence (RWE) Patient outcomes research Comparative effectiveness analysis Public health metrics Ensure regulatory compliance and data governance, particularly in handling real-world health data. Coordinate with external vendors and data providers such as IQVIA, Flatiron, and similar sources. Monitor project milestones, budgets, risks, and deliverables using industry-standard project management methodologies (Agile, Waterfall, etc.). Translate research needs into technical and functional project requirements. Facilitate stakeholder communication and produce clear project documentation. Qualifications: Bachelor's or Master’s degree in Life Sciences, Computer Science, Public Health, or a related field. 10–15 years of experience in IT project management in the pharmaceutical or healthcare research sector. Proven experience managing projects involving HEOR, RWE, or HTA frameworks. Familiarity with real-world data platforms such as Flatiron Health, IQVIA, Optum, or similar. Strong understanding of clinical data standards, regulatory environments (e.g., HIPAA, GDPR), and health informatics. Project Management certification (e.g., PMP, PRINCE2) preferred. Excellent communication, stakeholder management, and analytical skills. Preferred Skills: Experience working with epidemiologists, biostatisticians, or public health researchers. Knowledge of data integration or visualization platforms (e.g., Tableau, Power BI). Understanding of AI/ML applications in health research (optional but advantageous). EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. IT Project Manager – Pharma & Life Sciences (Health Research & Benchmarking) Role Overview: We are seeking an experienced IT Project Manager with a strong background in the Pharma and Life Sciences domain , particularly in Health Research & Benchmarking . This role requires a professional who can bridge the gap between technology and health outcomes research, leading cross-functional teams and managing projects related to HTA, HEOR, RWE , and comparative effectiveness research . Familiarity with tools such as Flatiron, IQVIA , and various Real-World Data (RWD) sources is essential. Key Responsibilities: Lead end-to-end IT project management in health research and life sciences initiatives. Collaborate with cross-functional stakeholders including researchers, data scientists, compliance teams, and IT developers. Manage and deliver projects involving: Health Technology Assessment (HTA) Health Economics and Outcomes Research (HEOR) Real-World Evidence (RWE) Patient outcomes research Comparative effectiveness analysis Public health metrics Ensure regulatory compliance and data governance, particularly in handling real-world health data. Coordinate with external vendors and data providers such as IQVIA, Flatiron, and similar sources. Monitor project milestones, budgets, risks, and deliverables using industry-standard project management methodologies (Agile, Waterfall, etc.). Translate research needs into technical and functional project requirements. Facilitate stakeholder communication and produce clear project documentation. Qualifications: Bachelor's or Master’s degree in Life Sciences, Computer Science, Public Health, or a related field. 10–15 years of experience in IT project management in the pharmaceutical or healthcare research sector. Proven experience managing projects involving HEOR, RWE, or HTA frameworks. Familiarity with real-world data platforms such as Flatiron Health, IQVIA, Optum, or similar. Strong understanding of clinical data standards, regulatory environments (e.g., HIPAA, GDPR), and health informatics. Project Management certification (e.g., PMP, PRINCE2) preferred. Excellent communication, stakeholder management, and analytical skills. Preferred Skills: Experience working with epidemiologists, biostatisticians, or public health researchers. Knowledge of data integration or visualization platforms (e.g., Tableau, Power BI). Understanding of AI/ML applications in health research (optional but advantageous). EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Description Required Experience: Qualifications: o Bachelor’s degree in Computer Science, Information Technology or a related field. Role Summary We are looking for a skilled Frontend Flutter Developer to join our core product team. You will be responsible for designing and developing intuitive, high-performance user interfaces, camera modules, social feeds, chats, real-time filters, and other engaging features in CamMe. Key Responsibilities 1)Design, develop, and maintain core frontend modules using Flutter and Dart. 2)Build intuitive, responsive, and visually appealing UIs. 3)Implement camera modules, social feeds, messaging, real-time filters, and editing tools. 4)Collaborate closely with backend developers, UI/UX designers, and the AI/ML team. 5)Ensure app performance, scalability, and smooth user experience across various devices. 6)Debug, test, and optimize features for production. 7)Stay updated with Flutter best practices and new technologies. Key Skills & Requirements ✅ 2+ years of hands-on experience with Flutter & Dart. ✅ Strong understanding of mobile app architecture, state management (Provider, BLoC, Riverpod, etc.), and REST API integration. ✅ Experience with camera plugins, real-time image/video processing, or custom filter implementation is a plus. ✅ Good sense of UI/UX design — attention to detail and user-centered design principles. ✅ Experience in working with cross-functional teams in an agile/startup environment. ✅ Ability to write clean, maintainable, and well-documented code. ✅ Strong problem-solving skills and ability to work independently.

Position Type Full time Type Of Hire Experienced (relevant combo of work and education) Travel Percentage 1 - 5% About FIS FIS is a global leader in financial technology, advancing the way the world pays, banks, and invests. We are committed to building inclusive, diverse teams that drive innovation and success for our colleagues, clients, and communities. About The Role We are seeking a technically skilled Sales Operations Specialist to support the Sales Technology team within our global Sales Operations organization. This role focuses on optimizing the use of sales tools, managing user access and governance, and driving automation and AI-based solutions to enhance sales productivity and operational efficiency. What You Will Be Doing AI & Automation Enablement Collaborate with sales and operations teams to identify and develop AI use cases that improve sales workflows Leverage AI tools to enhance reporting and streamline sales processes Support the implementation and adoption of AI-driven features across sales platforms Sales Technology Support Manage license allocation, user provisioning, and role governance across sales platforms and tools Provide first-line support and training for sales tools and systems Maintain data integrity and ensure compliance with access policies and usage standards Process Optimization Monitor tool usage and performance to identify gaps and recommend improvements Assist in the rollout of new technologies and enhancements to existing systems Document processes, create user guides, and support onboarding of new users Cross-Functional Collaboration Work closely with Sales Operations, Sales Enablement, IT, and Data teams to align on system requirements and priorities Act as a liaison between sales users and technical teams to ensure smooth communication and issue resolution What You Will Need Bachelor’s degree in Information Systems, Business, Engineering, or related field 3–6 years of experience in sales operations, sales technology, or business systems support Familiarity with AI tools and automation platforms Strong technical aptitude with experience managing user access, licenses, and tool configurations Excellent problem-solving and communication skills Ability to manage multiple priorities and work cross-functionally Preferred Experience with AI/ML tools or scripting for automation (e.g., Python, Power Automate) Knowledge of sales processes and CRM data structures Experience supporting global teams across time zones Experience with tools such as Salesforce, MS Dynamics, Outreach, ZoomInfo, or Seismic Familiarity with financial services or payments technology What We Offer You At FIS, we are as committed to growing our employees’ careers as our own business. We offer~ Opportunities to innovate in fintech Inclusive and diverse team atmosphere Professional and personal development Resources to contribute to your community Competitive salary and benefits Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice . Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice . Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass