1480 Mlflow Jobs - Page 38

SynapseIndia is a software development company with over 24 years of experience, featuring development offices in India and the USA. We serve clients worldwide, delivering innovative solutions tailored to their needs. Our Noida SEZ office is conveniently located just a 10-minute walk from the nearest metro station. Why work with us? Partnerships with Industry Leaders: We are a Google and Microsoft partner, staffed by certified professionals. Global Presence: As a multinational corporation, we have clients and employees across the globe. Structured Environment: We follow CMMI Level-5 compliant processes to ensure quality and efficiency. Timely Salaries: We have consistently paid salaries on time since our inception. Job Stability: Despite market fluctuations, we have not had to lay off employees. Work-Life Balance: Enjoy weekends off on the 2nd and last Saturday of every month, with no night shifts. Our employees are 100% satisfied, thanks to a culture of trust and growth opportunities. Eco-Friendly Workplace: We promote health and well-being with special anti-radiation and energy removal features in our offices. We prioritize the job security of all our employees. We celebrate all festivals with enthusiasm and joy. Yearly Appraisals: Exceptional performers can receive over 100% increments during appraisals. We recognize and reward top performers on a monthly basis for their outstanding contributions. We provide Accidental and Medical Insurance to our employees. Who are we looking for? Designation : Project Manager (Customer Advocacy) Experience Range : 5+ years What is the work? Coordinate project planning, tracking, and reporting for AI-focused initiatives across research, engineering, and product teams. Manage timelines, deliverables, and dependencies across multiple projects to ensure on-time delivery. Facilitate communication between data scientists, ML engineers, software developers, product managers, and external stakeholders. Organize and lead project meetings, including daily stand-ups, sprint planning, retrospectives, and stakeholder reviews. Monitor risks, issues, and changes, ensuring timely mitigation and resolution. Maintain documentation, project plans, and dashboards (e.g., Confluence, Jira, Notion, Trello). Assist in coordinating model training, data pipeline rollouts, infrastructure setup, and AI experiments. Support regulatory or ethical compliance checks relevant to AI deployments (e.g., model bias assessments, audit trails). Collaborate on budget tracking, vendor management, and resource allocation for AI-related tools and cloud usage. What skills and experience are we looking for? Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field. 5 + years of experience in project coordination, with at least 1–2 years in AI, data science, or machine learning environments. Familiarity with AI/ML concepts, model lifecycle stages, and data-driven product development. Proficiency with project management tools (e.g., Jira, Asana, MS Project, Notion). Excellent communication, documentation, and interpersonal skills. Strong time management and ability to juggle multiple priorities in a fast-paced environment. Experience with agile or hybrid SDLC in AI/ML contexts. Knowledge of MLOps tools and platforms (e.g., MLflow, Kubeflow, AWS Sagemaker, Databricks). Basic understanding of Python, data workflows, or model deployment pipelines. Exposure to responsible AI frameworks or data governance practices.

About the job Role Description This is a full-time on-site role for a Tech Lead (AI and Data) located in Bhopal. The Tech Lead will be responsible for managing and overseeing the technical execution of AI and data projects. Daily tasks involve troubleshooting, providing technical support, supervising IT-related activities, and ensuring the team is trained and well-supported. The Tech Lead will also collaborate with Kadel Labs to ensure successful product development and implementation. Tech Skills Here are six key technical skills an AI Tech Lead should possess: Machine Learning & Deep Learning – Strong grasp of algorithms (supervised, unsupervised, reinforcement) – Experience building and tuning neural networks (CNNs, RNNs, transformers) Data Engineering & Pipeline Architecture – Designing ETL/ELT workflows, data lakes, and feature stores – Proficiency with tools like Apache Spark, Kafka, Airflow, or Databricks Model Deployment & MLOps – Containerization (Docker) and orchestration (Kubernetes) for scalable inference – CI/CD for ML (e.g. MLflow, TFX, Kubeflow) and automated monitoring of model drift Cloud Platforms & Services – Hands-on with AWS (SageMaker, Lambda), Azure (ML Studio, Functions), or GCP (AI Platform) – Infrastructure-as-Code (Terraform, ARM templates) for reproducible environments Software Engineering Best Practices – Strong coding skills in Python (TensorFlow, PyTorch, scikit-learn) and familiarity with Java/Scala or Go – API design (REST/GraphQL), version control (Git), unit testing, and code reviews Data Security & Privacy in AI – Knowledge of PII handling, differential privacy, and secure data storage/encryption – Understanding of compliance standards (GDPR, HIPAA) and bias mitigation techniques Other Qualifications Troubleshooting and Technical Support skills Experience in Information Technology and Customer Service Ability to provide Training and guidance to team members Strong leadership and project management skills Excellent communication and collaboration abilities Experience in AI and data technologies is a plus Bachelor's or Master's degree in Computer Science, Information Technology, or a related field Job Types: Full-time, Permanent Pay: ₹875,652.61 - ₹1,016,396.45 per year Benefits: Health insurance Schedule: Day shift Monday to Friday Work Location: In person

AI/ML Architect Experience 10+ years in total, 8+ years in AI/ML development 3+ years in AI/ML architecture Education Bachelors/Masters in CS, AI/ML, Engineering, or similar Title: AI/ML Architect Location: Onsite Bangalore Experience: 10+ years Position Summary: We are seeking an experienced AI/ML Architect to lead the design and deployment of scalable AI solutions. This role requires a strong blend of technical depth, systems thinking, and leadership in machine learning , computer vision , and real-time analytics . You will drive the architecture for edge, on-prem, and cloud-based AI systems, integrating 3rd party data sources, sensor and vision data to enable predictive, prescriptive, and autonomous operations across industrial environments. Key Responsibilities: Architecture & Strategy Define the end-to-end architecture for AI/ML systems including time series forecasting , computer vision , and real-time classification . Design scalable ML pipelines (training, validation, deployment, retraining) using MLOps best practices. Architect hybrid deployment models supporting both cloud and edge inference for low-latency processing. Model Integration Guide the integration of ML models into the IIoT platform for real-time insights, alerting, and decision support. Support model fusion strategies combining disparate data sources, sensor streams with visual data (e.g., object detection + telemetry + 3rd party data ingestion). MLOps & Engineering Define and implement ML lifecycle tooling, including version control, CI/CD, experiment tracking, and drift detection. Ensure compliance, security, and auditability of deployed ML models. Collaboration & Leadership Collaborate with Data Scientists, ML Engineers, DevOps, Platform, and Product teams to align AI efforts with business goals. Mentor engineering and data teams in AI system design, optimization, and deployment strategies. Stay ahead of AI research and industrial best practices; evaluate and recommend emerging technologies (e.g., LLMs, vision transformers, foundation models). Must-Have Qualifications: Bachelors or Master’s degree in Computer Science, AI/ML, Engineering, or a related technical field. 8+ years of experience in AI/ML development, with 3+ years in architecting AI solutions at scale. Deep understanding of ML frameworks (TensorFlow, PyTorch), time series modeling, and computer vision. Proven experience with object detection, facial recognition, intrusion detection , and anomaly detection in video or sensor environments. Experience in MLOps (MLflow, TFX, Kubeflow, SageMaker, etc.) and model deployment on Kubernetes/Docker . Proficiency in edge AI (Jetson, Coral TPU, OpenVINO) and cloud platforms (AWS, Azure, GCP). Nice-to-Have Skills: Knowledge of stream processing (Kafka, Spark Streaming, Flink). Familiarity with OT systems and IIoT protocols (MQTT, OPC-UA). Understanding of regulatory and safety compliance in AI/vision for industrial settings. Experience with charts, dashboards, and integrating AI with front-end systems (e.g., alerts, maps, command center UIs). Role Impact: As AI/ML Architect, you will shape the intelligence layer of our IIoT platform — enabling smarter, safer, and more efficient industrial operations through AI. You will bridge research and real-world impact , ensuring our AI stack is scalable, explainable, and production-grade from day one.

We are seeking a dynamic and experienced Senior Systems Engineering Manager with a strong focus on MLOps to lead our engineering teams. The ideal candidate will possess a deep understanding of system engineering principles, a solid grasp of MLOps-related technical stacks, and excellent leadership skills. You will play a key role in driving strategic initiatives, building and organizing engineering units, and collaborating closely with stakeholders to deliver cutting-edge solutions. Responsibilities Lead and mentor engineering teams focused on designing, developing, and maintaining scalable MLOps infrastructure Build and organize organizational structures, including units and sub-units, to maximize team efficiency Collaborate with account teams and customers, delivering impactful presentations and ensuring stakeholder alignment Drive the recruitment, selection, and development of top engineering talent, fostering a culture of growth and innovation Oversee the implementation of CI/CD pipelines, Infrastructure as Code (IaC), and containerization solutions to enhance development workflows Ensure seamless integration and deployment processes using public cloud platforms, enabling scalable and reliable solutions Inspire, motivate, and guide teams to achieve their best potential Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 15+ years of proven experience in systems engineering, with a focus on MLOps or related fields Demonstrated leadership experience, including team building, talent management, and strategic planning Strong understanding of Infrastructure as Code (IaC) principles Expertise in CI/CD pipelines and tools Proficiency in Containerization technologies (e.g., Docker, Kubernetes) Hands-on experience with at least one public cloud platform (e.g., AWS, GCP, Azure) Basic knowledge of Machine Learning (ML) and Data Science (DS) concepts Ability to work effectively with diverse teams, coordinate tasks, and nurture talent Experience in building and scaling organizational units and sub-units Excellent communication and presentation skills, with the ability to engage customers and internal stakeholders Nice to have Experience with Databricks, Sagemaker, or MLFlow Show more Show less

SLSQ426R249 We are looking for a Sr Manager of sales, Commercial & Mid-Market to join our sales organization. You will oversee and motivate a team of Account Executives, and you will be measured by your team’s overall quota attainment, new business acquisition, and expansion into existing customer accounts. This is a team of motivated sellers, so we are looking for someone who is comfortable leading teams and loves developing Account Executives into rising stars. You will report directly to the India Director, Mid-Market & Commercial. The Impact You Will Have Promote Revenue success: Build and exceed your team's quarterly/ annual sales targets Build and Implement Strategic Plans: Develop and execute evolving revenue plans and growth tactics Create Trust–Based Relationships: Develop long-term customer, partner, and cross-functional relationships Distill Customer Needs and Value: Help your team to understand the commercial goals of your customer and how they relate to your value proposition Manage the Voice of Databricks: Lead your team to communicate the value proposition through proposals and presentations What We Look For 3+ years high-growth SaaS leader with experience leading a hybrid inside/field sales team 3+ years of experience translating a highly technical product into quantified business value for the C Suite Experience selling against open source or freemium Demonstrated track record delivering towards personal and team goals while to up level your process Develop and empower employees to achieve personal goals with a team-first mindset Coach and develop sales fundamentals to Account Executives, including and not limited to prospecting, forecasting, and negotiation tactic Excellent written and verbal communication skills and experience presenting to the C Suite About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Show more Show less

We are looking for a Sourcer to help us grow our office in Bangalore. You will be the driving force behind finding and engaging with some of the finest talent in the industry as we scale our team from the ground up. This is an exciting time to be part of the Rocketship and the Databricks expansion in India. Sourcers at Databricks are subject matter experts when it comes to talent attraction and are given full autonomy to bring new ideas and creative approaches to life. You will work with hiring managers as a strategic partner, advising on sourcing strategies, passive engagement strategies, competitive intelligence, DEI, and talent insights. You will have an opportunity to work on multiple positions across Sales, Martketing, Solutions Architects (Pre-Sales), Data Engineering, and more! If you're passionate about recruiting and sourcing, enjoy using alternative techniques to find diverse talent pools, and relish the creative freedom to try new things, then apply below! The Impact You Will Have Drive talent acquisition efforts by extensively sourcing and engaging with highly skilled professionals in Bangalore. Contribute to the growth and success of Databricks in India by building a strong pipeline of top-tier candidates. Collaborate with the APJ recruiting team and hiring managers to understand the hiring needs and develop effective sourcing strategies. Ensure a positive candidate experience throughout the sourcing and evaluation process, acting as a brand ambassador for Databricks. Play a key role in building a diverse and inclusive workforce, promoting equal opportunity and representation in technical roles. What We Look For Proven experience as a Sourcer or similar role in the technology industry. Strong understanding of technical / non-tech roles, and the ability to effectively assess candidates' technical skills across all experience levels (Entry to Senior) Extremely hands-on with sourcing, leveraging different tools & platforms to source & recruit strong Tech & Non-Tech talent Expertise in hiring GTM professionals across domains like SaaS, Big Data, ML, AI etc is a plus Excellent communication and interpersonal skills, with the ability to engage candidates, build relationships, and effectively represent Databricks' values and culture. Familiarity with applicant tracking systems (ATS) and other recruitment software for efficient candidate management and tracking. Someone who thinks beyond the usual tools and creates innovative solutions to finding, engaging & hiring the very best people. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Show more Show less

Join MSBC as an AI/ML Engineer – Deliver Real-World Intelligent Systems At MSBC, we design and implement practical AI solutions that solve real business problems across industries. As an AI/ML Engineer, you will play a key role in building and deploying machine learning models and data-driven systems that are used in production. This role is ideal for engineers with solid hands-on experience delivering end-to-end AI/ML projects. Key Tools and Frameworks • Programming Languages – Python (FastAPI, Flask, Django) • Machine Learning Libraries – scikit-learn, XGBoost, TensorFlow or PyTorch • Data Pipelines – Pandas, Spark, Airflow • Model Deployment – FastAPI, Flask, Docker, MLflow • Cloud Platforms – AWS, GCP, Azure (any one) • Version Control – Git Key Responsibilities • Design and develop machine learning models to address business requirements. • Build and manage data pipelines for training and inference workflows. • Train, evaluate, and optimise models for accuracy and performance. • Deploy models in production environments using containerised solutions. • Work with structured and unstructured data from various sources. • Ensure robust monitoring, retraining, and versioning of models. • Contribute to architecture and design discussions for AI/ML systems. • Document processes, results, and deployment procedures clearly. • Collaborate with software engineers, data engineers, and business teams. Required Skills and Qualifications • 4+ years of hands-on experience delivering ML solutions in production environments. • Strong programming skills in Python and deep understanding of ML fundamentals. • Experience with supervised and unsupervised learning, regression, classification, and clustering techniques. • Practical experience in model deployment and lifecycle management. • Good understanding of data preprocessing, feature engineering, and model evaluation. • Experience with APIs, containers, and cloud deployment. • Familiarity with CI/CD practices and version control. • Ability to work independently and deliver results in fast-paced projects. • Excellent English communication skills for working with distributed teams. • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. MSBC Group has been a trusted technology partner for over 20 years, delivering the latest systems and software solutions for financial services, manufacturing, logistics, construction, and startup ecosystems. Our expertise includes Accessible AI, Custom Software Solutions, Staff Augmentation, Managed Services, and Business Process Outsourcing. We are at the forefront of developing advanced AI-enabled services and supporting transformative projects. Operating globally, we drive innovation, making us a trusted AI and automation partner. Show more Show less

Description And Requirements CareerArc Code CA-PS Hybrid "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The DSOM product line includes BMC’s industry-leading Digital Services and Operation Management products. We have many interesting SaaS products, in the fields of: Predictive IT service management, Automatic discovery of inventories, intelligent operations management, and more! We continuously grow by adding and implementing the most cutting-edge technologies and investing in Innovation! Our team is a global and versatile group of professionals, and we LOVE to hear our employees’ innovative ideas. So, if Innovation is close to your heart – this is the place for you! BMC is looking for an experienced Data Science Engineer with hands-on experience with Classical ML, Deep Learning Networks and Large Language Models, knowledge to join us and design, develop, and implement microservice based edge applications, using the latest technologies. In this role, you will be responsible for End-to-end design and execution of BMC Data Science tasks, while acting as a focal point and expert for our data science activities. You will research and interpret business needs, develop predictive models, and deploy completed solutions. You will provide expertise and recommendations for plans, programs, advance analysis, strategies, and policies. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Ideate, design, implement and maintain enterprise business software platform for edge and cloud, with a focus on Machine Learning and Generative AI Capabilities, using mainly Python Work with a globally distributed development team to perform requirements analysis, write design documents, design, develop and test software development projects. Understand real world deployment and usage scenarios from customers and product managers and translate them to AI/ML features that drive value of the product. Work closely with product managers and architects to understand requirements, present options, and design solutions. Work closely with customers and partners to analyze time-series data and suggest the right approaches to drive adoption. Analyze and clearly communicate both verbally and in written form the status of projects or issues along with risks and options to the stakeholders. To ensure you’re set up for success, you will bring the following skillset & experience: You have 8+ years of hands-on experience in data science or machine learning roles. You have experience working with sensor data, time-series analysis, predictive maintenance, anomaly detection, or similar IoT-specific domains. You have strong understanding of the entire ML lifecycle: data collection, preprocessing, model training, deployment, monitoring, and continuous improvement. You have proven experience designing and deploying AI/ML models in real-world IoT or edge computing environments. You have strong knowledge of machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost). Whilst these are nice to have, our team can help you develop in the following skills: Experience with digital twins, real-time analytics, or streaming data systems. Contribution to open-source ML/AI/IoT projects or relevant publications. Experience with Agile development methodology and best practice in unit testin Experience with Kubernetes (kubectl, helm) will be an advantage. Experience with cloud platforms (AWS, Azure, GCP) and tools for ML deployment (SageMaker, Vertex AI, MLflow, etc.). BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 8,047,800 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply. Min salary 6,035,850 Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. Mid point salary 8,047,800 Max salary 10,059,750 Show more Show less

At Swarovski, where innovation meets inspiration, our people desire to explore, experience and create. We are looking for an MLOps Engineer, also called AI DevOps in the internal Organisation where you will get a chance to work in a rewarding role within a diverse team that is pushing boundaries. Be part of a truly iconic global brand, learn and grow with us. We’re bold and inventive, revealing astonishing things like no one else can. A world of wonder awaits you. About The Job Engineer ML models to production in GCP owning the model maintenance, monitoring and support activities Enhance existing quantitative and generative AI solutions or developing new by translating business questions and requirements into actionable insights. Align with state-of-the art AI development and deployment standards. Deliver efficient solutions and identify possible opportunities of AI adoption. Leverage the standards, the Data Lake and the existing cloud infrastructure as well as the current technology landscape to design the solutions adopted by the AI Center of Excellence. Test the solutions and run pilot activities (e.g.: A/B testing), in close coordination with the business partners, needed to validate business outcomes. About You We are looking for a unique and amazing talent, who brings along the following: University degree/ Education, preferably in Mathematics, Statistics, Computer Science, or similar. Minimum 2 years of professional experience in a similar role within an international setting. Excellent analytical and problem-solving skills Excellent English proficiency, presentation, and communication skills Proven experience on AI solutions development and deployment in GCP, preferably Vertex AI. Proven experience in Python, CICD, Pipeline Frameworks (Kubeflow, Mlflow, TFX), database languages (e.g., SQL) and relevant Docker/Containerization basics. Good experience on Google Cloud, especially on VertexAI, Cloud Build, Monitoring and Logging. (certifications are a plus) About Swarovski Masters of Light Since 1895 Swarovski creates beautiful crystals-based products of impeccable quality and craftsmanship that bring joy and celebrate individuality. Founded in 1895 in Austria, the company designs, manufactures and sells the world's finest crystals, gemstones, Swarovski Created Diamonds and zirconia, jewelry, and accessories, as well as objects and home accessories. Swarovski Crystal Business has a global reach with approximately 2,400 stores and 6,700 points of sales in over 150 countries and employs more than 18,000 people. Together with its sister companies Swarovski Optik (optical devices) and Tyrolit (abrasives), Swarovski Crystal Business forms the Swarovski Group. A responsible relationship with people and the planet is part of Swarovski’s heritage. Today this legacy is rooted in sustainability measures across the value chain, with an emphasis on circular innovation, championing diversity, inclusion and self-expression, and in the philanthropic work of the Swarovski Foundation, which supports charitable organizations bringing positive environmental and social impact. Show more Show less

🚀 AI/ML Solution Engineer Internship (On-site, Ahmedabad) Start Your Real Tech Career — Build. Deploy. Scale. Location: Ahmedabad (Office-based Only) Internship Duration: 8 Months Training + 1.5 Year Post-Training Bond About the Opportunity: Are you a recent graduate eager to move beyond online courses and actually build and deploy real AI models ? Whatmaction is offering a career-launching opportunity as an AI/ML Solution Engineer Intern — not just an internship, but a full-fledged deep tech journey . If you’re serious about working with production-grade AI, this is where your transformation begins. What You’ll Experience: 🧠 8 Months of Intense Training Like a bootcamp for your brain — hands-on learning, project-based tasks, and direct mentoring from senior engineers. ⚙️ Real-World AI/ML Projects Build and deploy production-level AI systems , including resume parsing tools, chatbots, and smart automation systems. 📦 Model Development: From Scratch & Prebuilt You’ll train models using open-source datasets, fine-tune pre-trained models, and learn how to build custom models from scratch — the real way. 🚀 Production Deployment You’ll also gain hands-on experience in model deployment , REST API integration, and making models accessible in real-time applications. Key Skills & Tech Stack: Languages: Python (strong foundation required) Bash/Shell scripting (basic) AI/ML Libraries: Scikit-learn SpaCy TensorFlow / PyTorch Keras Transformers (Hugging Face) XGBoost / LightGBM OpenCV (for CV tasks) Pandas / NumPy Matplotlib / Seaborn Tools & Platforms: Jupyter Notebooks / Google Colab Git & GitHub Postman Docker (for packaging ML apps) MLflow (for model tracking and versioning) Streamlit / FastAPI / Flask (for ML APIs) Firebase / AWS / Render (for model hosting) PostgreSQL / MongoDB (data handling) Core Concepts: Supervised / Unsupervised Learning Data Preprocessing & Feature Engineering Natural Language Processing (NLP) Model Evaluation & Hyperparameter Tuning Working with Pre-trained Embeddings ML Model Deployment (API-first mindset) Bonus Skills (Good to Have): Working with OpenAI / Hugging Face APIs Building AI Chatbots Basic Backend API skills (FastAPI preferred) Version control with Git Using LangChain / RAG techniques (optional) Who Should Apply: Fresh graduates (2023–2025) from B.Tech / MCA / BCA / M.Sc IT or equivalent. Passionate about AI, ML, and solving real-world problems . Willing to commit to 8 months of full-time training and 1.5-year project bond . Looking to build an actual career , not just do tasks. 📩 How to Apply: Send your updated resume to hr@whatmaction.com with the subject “AI/ML Internship Application – [Your Name]” 🔒 Note: This is an on-site only opportunity. Remote applications will not be considered. This is your launchpad. Build, deploy, and ship AI products that matter — with us at Whatmaction. Show more Show less

Job Description PayPay is looking for an experienced Cloud-Based AI and ML Engineer. This role involves leveraging cloud-based AI/ML Services to build infrastructure as well as developing, deploying, and maintaining ML models, collaborating with cross-functional teams, and ensuring scalable and efficient AI solutions particularly on Amazon Web Services (AWS). Main Responsibilities 1. Cloud Infrastructure Management : - Architect and maintain cloud infrastructure for AI/ML projects using AWS tools. - Implement best practices for security, cost management, and high-availability. - Monitor and manage cloud resources to ensure seamless operation of ML services. 2. Model Development and Deployment : - Design, develop, and deploy machine learning models using AWS services such as SageMaker. - Collaborate with data scientists and data engineers to create scalable ML workflows. - Optimize models for performance and scalability on AWS infrastructure. - Implement CI/CD pipelines to streamline and accelerate the model development and deployment process. - Set up a cloud-based development environment for data engineers and data scientists to facilitate model development and exploratory data analysis - Implement monitoring, logging, and observability to streamline operations and ensure efficient management of models deployed in production. 3. Data Management : - Work with structured and unstructured data to train robust ML models. - Use AWS data storage and processing services like S3, RDS, Redshift, or DynamoDB. - Ensure data integrity and compliance with set Security regulations and standards. 4. Collaboration and Communication : - Collaborate with cross-functional teams including DevOps, Data Engineering, and Product Management teams. - Communicate technical concepts effectively to non-technical stakeholders. 5. Continuous Improvement and Innovation : - Stay updated with the latest advancements in AI/ML technologies and AWS services. - Provide through Automations means for developers to easily develop and deploy their AI/ML models on AWS. Tech Stack - AWS: - VPC, EC2, ECS, EKS, Lambda, MWAA, RDS, ElastiCache, DynamoDB, Opensearch, S3, CloudWatch, Cognito, SQS, KMS, Secret Manager, KMS, MSK,Amazon Kinesis, CodeCommit, CodeBuild, CodeDeploy, CodePipeline, AWS Lake Formation, AWS Glue, SageMaker and other AI Services. - Terraform, Github Actions, Prometheus, Grafana, Atlantis - OSS (Administration experience on these tools) - Jupyter, MLFlow, Argo Workflows, Airflow Required Skills and Experiences - More than 5+ years of technical experience in cloud-based infrastructure with a focus on AI and ML platforms - Extensive technical hands-on experience with computing, storage, and analytical services on AWS. - Demonstrated skill in programming and scripting languages, including Python, Shell Scripting, Go, and Rust. - Experience with infrastructure as code (IAC) tools in AWS, such as Terraform, CloudFormation, and CDK. - Proficient in Linux internals and system administration. - Experience in production level infrastructure change management and releases for business-critical systems. - Experience in Cloud infrastructure and platform systems availability, performance and cost management. - Strong understanding of cloud security best practices and payment industry compliance standards. - Experience with cloud services monitoring, detection, and response, as well as performance tuning and cost control. - Familiarity with cloud infrastructure service patching and upgrades. - Excellent oral, written, and interpersonal communication skills. Preferred Qualifications - Bachelor’s degree and above in a technology related field - Experience with other cloud service providers (e.g GCP, Azure) - Experience with Kubernetes - Experience with Event-Driven Architecture (Kafka preferred) - Experience using and contributing to Open Source tools - Experience in managing IT compliance and security risk - Published papers / blogs / articles - Relevant and verifiable certifications Remarks ＊Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate. PayPay 5 senses Please refer PayPay 5 senses to learn what we value at work. Working Conditions Employment Status Full Time Office Location Gurugram (Wework) ※The development center requires you to work in the Gurugram office to establish the strong core team. Show more Show less

We are looking for an enthusiastic Machine Learning Engineer to join our growing team. The hire will be responsible for working in collaboration with other data scientists and engineers across the organization to develop production-quality models for a variety of problems across Razorpay. Some possible problems include : making recommendations to merchants from Razorpay’s suite of products, cost optimisation of transactions for merchants, automatic address disambiguation / correction to enable tracking customer purchases using advanced natural language processing techniques, computer vision techniques for auto-verifications, running large-scale bandit experiments to optimize Razorpay’s merchant facing web pages at scale, and many more. In addition to this, we expect the MLE to be adept at productionising ML models using state-of-the-art systems. As part of the DS team @ Razorpay, you’ll work with some of the smartest engineers/architects/data scientists/product leaders in the industry and have the opportunity to solve complex and critical problems for Razorpay. As a Senior MLE, you will also have the opportunity to partner with and be mentored by senior engineers across the organization and lay the foundation for a world-class DS team here at Razorpay. You come and work with the right attitude, fun and growth guaranteed! Required qualifications 5+ years of experience doing ML in a production environment and productionising ML models at scale Bachelors (required) or Masters in a quantitative field such as Computer science, operations research, statistics, mathematics, physics Familiarity with basic machine learning techniques : regression, classification, clustering, model metrics and performance (AUC, ROC, precision, recall and their various flavors) Basic knowledge of advanced machine learning techniques : regression, clustering, recommender systems, ranking systems and neural networks Expertise in coding in python and good knowledge of at least one language from C, C++, Java and at least one scripting language (perl, shell commands) Experience with big data tools like Spark and experience working with Databricks / DataRobots Experience with AWS’ suite of tools for production-quality ML work, or alternatively familiarity with Microsoft Azure / GCP Experience deploying complex ML algorithms to production in collaboration with engineers using Flask, MLFlow, Seldon, etc. Good to have: Excellent communication skills and ability to keep stakeholders informed of progress / blockers Show more Show less

🔍 AI Engineer — phablo.ai (Remote) Location: Remote Type: Full-time Company: Phablo.ai Team: Founding Engineering Team Experience: 1–4 years (exceptional freshers welcome) 🌟 About Us At Phablo.ai , we’re transforming how compliance works for life sciences. No more clunky tools or manual processes — we’re building an AI-powered platform that helps teams stay compliant faster, smarter, and with confidence. Co-Founded by domain and tech experts from Germany & India, headquartered in SIngapore , our mission is global: to reimagine compliance workflows for the world’s most regulated industries. 🚀 Perks & Culture 🧠 Founding Opportunity – Join as part of our early core engineering team and shape the product and tech stack from the ground up. 🌍 Remote-First, Global Team – Collaborate with co-founders and teammates across continents . Our key markets are the EU and US. 💰 Compensation – Competitive startup salary with strong growth upside. As the company grows, so will your salary and other perks. Equity opportunities available for long-term, high-impact contributors at later stages. 📚 Limitless Learning – Work on cutting-edge LLM, RAG, and document AI systems with real-world impact. ⚙️ Culture of Innovation – We move fast, experiment often, and value initiative, autonomy, and team spirit. 🎯 Responsibilities Architect and implement components of our AI compliance engine using techniques like RAG, hybrid search, summarization, and entity extraction. Fine-tune and optimize foundation models (e.g., LLaMA, Mistral, GPT) for tasks such as regulation parsing, document comparison, and compliance Q&A. Build document ingestion, chunking, and embedding pipelines using LangChain , Haystack , or LlamaIndex . Integrate with vector databases (e.g., FAISS, Qdrant, Weaviate, Pinecone) to enable scalable semantic retrieval. Develop and deploy FastAPI/Flask-based APIs for real-time or batch AI inference services. Apply prompt engineering, memory techniques, and few-shot learning to improve response quality, accuracy, and explainability. Work closely with domain experts and product teams to build AI systems aligned with real regulatory workflows . Continuously monitor and evaluate AI model performance across metrics like latency, accuracy, hallucination rate, and compliance risk. 🛠️ Required Skills Strong Python skills and experience with ML frameworks like PyTorch , TensorFlow , or JAX . Deep understanding of LLMs and NLP workflows including: NER, summarization, semantic similarity, RAG, and hybrid search Embedding generation and vector search optimization Familiar with tools like: LangChain , Haystack , LlamaIndex Vector DBs : FAISS, Weaviate, Qdrant, Pinecone FastAPI , Flask , or similar frameworks for serving models Hands-on with MLOps tooling like MLflow, Weights & Biases, HuggingFace Hub, or cloud platforms (AWS, GCP, Vertex AI). Awareness of AI safety , data privacy , and security best practices in regulated industries. Excellent problem-solving, communication, and collaboration skills. Bonus: Experience in life sciences , healthcare , legal tech , or regulatory AI is highly desirable. 🎓 Qualifications 1–4 years of experience engineering AI systems in production settings. OR, if you’re a fresher : A strong academic background in AI/ML/NLP/Data Science from a reputed institution. Demonstrated ability through research publications , open-source contributions , or top performance in AI competitions. 💬 Let’s Build the Future of Compliance If you're excited about building AI systems that solve real-world problems in healthcare, pharma, and life sciences — let’s talk! Apply now or reach out directly to ts@phablo.ai Show more Show less

About the Role We’re looking for top-tier AI/ML Engineers with 6+ years of experience to join our fast-paced and innovative team. If you thrive at the intersection of GenAI, Machine Learning, MLOps, and application development, we want to hear from you. You’ll have the opportunity to work on high-impact GenAI applications and build scalable systems that solve real business problems. Key Responsibilities Design, develop, and deploy GenAI applications using techniques like RAG (Retrieval Augmented Generation), prompt engineering, model evaluation, and LLM integration. Architect and build production-grade Python applications using frameworks such as FastAPI or Flask . Implement gRPC services , event-driven systems ( Kafka, PubSub ), and CI/CD pipelines for scalable deployment. Collaborate with cross-functional teams to frame business problems as ML use-cases — regression, classification, ranking, forecasting, and anomaly detection. Own end-to-end ML pipeline development : data preprocessing, feature engineering, model training/inference, deployment, and monitoring. Work with tools such as Airflow , Dagster , SageMaker , and MLflow to operationalize and orchestrate pipelines. Ensure model evaluation , A/B testing , and hyperparameter tuning is done rigorously for production systems. Must-Have Skills Hands-on experience with GenAI/LLM-based applications – RAG, Evals, vector stores, embeddings. Strong backend engineering using Python , FastAPI/Flask , gRPC, and event-driven architectures. Experience with CI/CD , infrastructure, containerization, and cloud deployment (AWS, GCP, or Azure). Proficient in ML best practices : feature selection, hyperparameter tuning, A/B testing, model explainability. Proven experience in batch data pipelines and training/inference orchestration . Familiarity with tools like Airflow/Dagster , SageMaker , and data pipeline architecture . Show more Show less

Lead Agentic AI Developer Gurgaon, India; Hyderabad, India; Bangalore, India Information Technology 316524 Job Description About The Role: Grade Level (for internal use): 12 Lead Agentic AI Developer Location: Gurgaon, Hyderabad and Bangalore Job Description: A Lead Agentic AI Developer will drive the design, development, and deployment of autonomous AI systems that enable intelligent, self-directed decision-making. Their day-to-day operations focus on advancing AI capabilities, leading teams, and ensuring ethical, scalable implementations. Responsibilities AI System Design and Development : Architect and build autonomous AI systems that integrate with enterprise workflows, cloud platforms, and LLM frameworks. Develop APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Team Leadership and Mentorship : Lead cross-functional teams of AI engineers, data scientists, and developers. Mentor junior staff in agentic AI principles, reinforcement learning, and ethical AI governance. Customization and Advancement : Optimize autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Fine-tune LLMs, multi-agent frameworks, and feedback loops to align with business goals. Ethical AI Governance : Monitor AI behavior, audit decision-making processes, and implement safeguards to ensure transparency, fairness, and compliance with regulatory standards. Innovation and Research : Spearhead R&D initiatives to advance agentic AI capabilities. Experiment with emerging frameworks (e.g.,Autogen, AutoGPT, LangChain), neuro-symbolic architectures, and self-improving AI systems. Documentation and Thought Leadership : Publish technical white papers, case studies, and best practices for autonomous AI. Share insights at conferences and contribute to open-source AI communities. System Validation : Oversee rigorous testing of AI agents, including stress testing, adversarial scenario simulations, and bias mitigation. Validate alignment with ethical and performance benchmarks. Stakeholder Leadership : Collaborate with executives, product teams, and compliance officers to align AI initiatives with strategic objectives. Advocate for AI-driven innovation across the organization. What We’re Looking For : REQUIRED SKILLS/QUALIFICATIONS Technical Expertise : 8+ years as a Senior AI Engineer , ML Architect , or AI Solutions Lead , with 5+ years focused on autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Expertise in Python (mandatory) and familiarity with Node.js . Hands-on experience with autonomous AI tools : LangChain, Autogen, CrewAI, or custom agentic frameworks. Proficiency in cloud platforms : AWS SageMaker (most preferred), Azure ML, or Google Cloud Vertex AI. Experience with MLOps pipelines (e.g., Kubeflow, MLflow) and scalable deployment of AI agents. Leadership : Proven track record of leading AI/ML teams, managing complex projects, and mentoring technical staff. Ethical AI : Familiarity with AI governance frameworks (e.g., EU AI Act, NIST AI RMF) and bias mitigation techniques. Communication : Exceptional ability to translate technical AI concepts for non-technical stakeholders. Nice to have : Contributions to AI research (published papers, patents) or open-source AI projects (e.g., TensorFlow Agents, AutoGen). Experience with DevOps/MLOps tools: Kubeflow, MLflow, Docker, or Terraform. Expertise in NLP, computer vision, or graph-based AI systems. Familiarity with quantum computing or neuromorphic architectures for AI. 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. - 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 - 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316524 Posted On: 2025-06-11 Location: Gurgaon, Haryana, India

Agentic AI Architect Gurgaon, India; Hyderabad, India; Bangalore, India Information Technology 316525 Job Description About The Role: Grade Level (for internal use): 13 Location: Gurgaon, Hyderabad and Bangalore Job Description: We are seeking a highly skilled and visionary Agentic AI Architect to lead the strategic design, development, and scalable implementation of autonomous AI systems within our organization. This role demands an individual with deep expertise in cutting-edge AI architectures, a strong commitment to ethical AI practices, and a proven ability to drive innovation. The ideal candidate will architect intelligent, self-directed decision-making systems that integrate seamlessly with enterprise workflows and propel our operational efficiency forward. Key Responsibilities As an Agentic AI Architect, you will: AI Architecture and System Design: Architect and design robust, scalable, and autonomous AI systems that seamlessly integrate with enterprise workflows, cloud platforms, and advanced LLM frameworks. Define blueprints for APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Strategic AI Leadership: Provide technical leadership and strategic direction for AI initiatives focused on agentic systems. Guide cross-functional teams of AI engineers, data scientists, and developers in the adoption and implementation of advanced AI architectures. Framework and Platform Expertise: Evaluate, recommend, and implement leading AI tools and frameworks, with a strong focus on autonomous AI solutions (e.g., multi-agent frameworks, self-optimizing systems, LLM-driven decision engines). Drive the selection and utilization of cloud platforms (AWS SageMaker preferred, Azure ML, Google Cloud Vertex AI) for scalable AI deployments. Customization and Optimization: Design strategies for optimizing autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Define methodologies for fine-tuning LLMs, multi-agent frameworks, and feedback loops to align with overarching business goals and architectural principles. Innovation and Research Integration: Spearhead the integration of R&D initiatives into production architectures, advancing agentic AI capabilities. Evaluate and prototype emerging frameworks (e.g., Autogen, AutoGPT, LangChain), neuro-symbolic architectures, and self-improving AI systems for architectural viability. Documentation and Architectural Blueprinting: Develop comprehensive technical white papers, architectural diagrams, and best practices for autonomous AI system design and deployment. Serve as a thought leader, sharing architectural insights at conferences and contributing to open-source AI communities. System Validation and Resilience: Design and oversee rigorous architectural testing of AI agents, including stress testing, adversarial scenario simulations, and bias mitigation strategies, ensuring alignment with compliance, ethical and performance benchmarks for robust production systems. Stakeholder Collaboration & Advocacy: Collaborate with executives, product teams, and compliance officers to align AI architectural initiatives with strategic objectives. Advocate for AI-driven innovation and architectural best practices across the organization. Qualifications: Technical Expertise: 12+ years of progressive experience in AI/ML, with a strong track record as an AI Architect , ML Architect, or AI Solutions Lead. 7+ years specifically focused on designing and architecting autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Expertise in Python (mandatory) and familiarity with Node.js for architectural integrations. Extensive hands-on experience with autonomous AI tools and frameworks : LangChain, Autogen, CrewAI, or architecting custom agentic frameworks. Proficiency in cloud platforms for AI architecture : AWS SageMaker (most preferred), Azure ML, or Google Cloud Vertex AI, with a deep understanding of their AI service offerings. Demonstrable experience with MLOps pipelines (e.g., Kubeflow, MLflow) and designing scalable deployment strategies for AI agents in production environments. Leadership & Strategic Acumen: Proven track record of leading the architectural direction of AI/ML teams, managing complex AI projects, and mentoring senior technical staff. Strong understanding and practical application of AI governance frameworks (e.g., EU AI Act, NIST AI RMF) and advanced bias mitigation techniques within AI architectures. Exceptional ability to translate complex technical AI concepts into clear, concise architectural plans and strategies for non-technical stakeholders and executive leadership. Ability to envision and articulate a long-term strategy for AI within the business, aligning AI initiatives with business objectives and market trends. Foster collaboration across various practices, including product management, engineering, and marketing, to ensure cohesive implementation of AI strategies that meet business goals. 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. - 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 - 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316525 Posted On: 2025-06-11 Location: Gurgaon, Haryana, India

About the Role: Grade Level (for internal use): 13 Location: Gurgaon, Hyderabad and Bangalore Job Description: We are seeking a highly skilled and visionary Agentic AI Architect to lead the strategic design, development, and scalable implementation of autonomous AI systems within our organization. This role demands an individual with deep expertise in cutting-edge AI architectures, a strong commitment to ethical AI practices, and a proven ability to drive innovation. The ideal candidate will architect intelligent, self-directed decision-making systems that integrate seamlessly with enterprise workflows and propel our operational efficiency forward. Key Responsibilities As an Agentic AI Architect, you will: AI Architecture and System Design: Architect and design robust, scalable, and autonomous AI systems that seamlessly integrate with enterprise workflows, cloud platforms, and advanced LLM frameworks. Define blueprints for APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Strategic AI Leadership: Provide technical leadership and strategic direction for AI initiatives focused on agentic systems. Guide cross-functional teams of AI engineers, data scientists, and developers in the adoption and implementation of advanced AI architectures. Framework and Platform Expertise: Evaluate, recommend, and implement leading AI tools and frameworks, with a strong focus on autonomous AI solutions (e.g., multi-agent frameworks, self-optimizing systems, LLM-driven decision engines). Drive the selection and utilization of cloud platforms (AWS SageMaker preferred, Azure ML, Google Cloud Vertex AI) for scalable AI deployments. Customization and Optimization: Design strategies for optimizing autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Define methodologies for fine-tuning LLMs, multi-agent frameworks, and feedback loops to align with overarching business goals and architectural principles. Innovation and Research Integration: Spearhead the integration of R&D initiatives into production architectures, advancing agentic AI capabilities. Evaluate and prototype emerging frameworks (e.g., Autogen, AutoGPT, LangChain), neuro-symbolic architectures, and self-improving AI systems for architectural viability. Documentation and Architectural Blueprinting: Develop comprehensive technical white papers, architectural diagrams, and best practices for autonomous AI system design and deployment. Serve as a thought leader, sharing architectural insights at conferences and contributing to open-source AI communities. System Validation and Resilience: Design and oversee rigorous architectural testing of AI agents, including stress testing, adversarial scenario simulations, and bias mitigation strategies, ensuring alignment with compliance, ethical and performance benchmarks for robust production systems. Stakeholder Collaboration & Advocacy: Collaborate with executives, product teams, and compliance officers to align AI architectural initiatives with strategic objectives. Advocate for AI-driven innovation and architectural best practices across the organization. Qualifications: Technical Expertise: 12+ years of progressive experience in AI/ML, with a strong track record as an AI Architect , ML Architect, or AI Solutions Lead. 7+ years specifically focused on designing and architecting autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Expertise in Python (mandatory) and familiarity with Node.js for architectural integrations. Extensive hands-on experience with autonomous AI tools and frameworks : LangChain, Autogen, CrewAI, or architecting custom agentic frameworks. Proficiency in cloud platforms for AI architecture : AWS SageMaker (most preferred), Azure ML, or Google Cloud Vertex AI, with a deep understanding of their AI service offerings. Demonstrable experience with MLOps pipelines (e.g., Kubeflow, MLflow) and designing scalable deployment strategies for AI agents in production environments. Leadership & Strategic Acumen: Proven track record of leading the architectural direction of AI/ML teams, managing complex AI projects, and mentoring senior technical staff. Strong understanding and practical application of AI governance frameworks (e.g., EU AI Act, NIST AI RMF) and advanced bias mitigation techniques within AI architectures. Exceptional ability to translate complex technical AI concepts into clear, concise architectural plans and strategies for non-technical stakeholders and executive leadership. Ability to envision and articulate a long-term strategy for AI within the business, aligning AI initiatives with business objectives and market trends. Foster collaboration across various practices, including product management, engineering, and marketing, to ensure cohesive implementation of AI strategies that meet business goals. 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. ----------------------------------------------------------- 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 ----------------------------------------------------------- 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316525 Posted On: 2025-06-11 Location: Gurgaon, Haryana, India

About the Role: Grade Level (for internal use): 12 Lead Agentic AI Developer Location: Gurgaon, Hyderabad and Bangalore Job Description: A Lead Agentic AI Developer will drive the design, development, and deployment of autonomous AI systems that enable intelligent, self-directed decision-making. Their day-to-day operations focus on advancing AI capabilities, leading teams, and ensuring ethical, scalable implementations. Responsibilities AI System Design and Development : Architect and build autonomous AI systems that integrate with enterprise workflows, cloud platforms, and LLM frameworks. Develop APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Team Leadership and Mentorship : Lead cross-functional teams of AI engineers, data scientists, and developers. Mentor junior staff in agentic AI principles, reinforcement learning, and ethical AI governance. Customization and Advancement : Optimize autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Fine-tune LLMs, multi-agent frameworks, and feedback loops to align with business goals. Ethical AI Governance : Monitor AI behavior, audit decision-making processes, and implement safeguards to ensure transparency, fairness, and compliance with regulatory standards. Innovation and Research : Spearhead R&D initiatives to advance agentic AI capabilities. Experiment with emerging frameworks (e.g.,Autogen, AutoGPT, LangChain), neuro-symbolic architectures, and self-improving AI systems. Documentation and Thought Leadership : Publish technical white papers, case studies, and best practices for autonomous AI. Share insights at conferences and contribute to open-source AI communities. System Validation : Oversee rigorous testing of AI agents, including stress testing, adversarial scenario simulations, and bias mitigation. Validate alignment with ethical and performance benchmarks. Stakeholder Leadership : Collaborate with executives, product teams, and compliance officers to align AI initiatives with strategic objectives. Advocate for AI-driven innovation across the organization. What We’re Looking For : REQUIRED SKILLS/QUALIFICATIONS Technical Expertise : 8+ years as a Senior AI Engineer , ML Architect , or AI Solutions Lead , with 5+ years focused on autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Expertise in Python (mandatory) and familiarity with Node.js . Hands-on experience with autonomous AI tools : LangChain, Autogen, CrewAI, or custom agentic frameworks. Proficiency in cloud platforms : AWS SageMaker (most preferred), Azure ML, or Google Cloud Vertex AI. Experience with MLOps pipelines (e.g., Kubeflow, MLflow) and scalable deployment of AI agents. Leadership : Proven track record of leading AI/ML teams, managing complex projects, and mentoring technical staff. Ethical AI : Familiarity with AI governance frameworks (e.g., EU AI Act, NIST AI RMF) and bias mitigation techniques. Communication : Exceptional ability to translate technical AI concepts for non-technical stakeholders. Nice to have : Contributions to AI research (published papers, patents) or open-source AI projects (e.g., TensorFlow Agents, AutoGen). Experience with DevOps/MLOps tools: Kubeflow, MLflow, Docker, or Terraform. Expertise in NLP, computer vision, or graph-based AI systems. Familiarity with quantum computing or neuromorphic architectures for AI. 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. ----------------------------------------------------------- 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 ----------------------------------------------------------- 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316524 Posted On: 2025-06-11 Location: Gurgaon, Haryana, India

Ahmedabad,Gujarat Full Time Job Overview: We are looking for a skilled and experienced Data Engineer to join our team. The ideal candidate will have a strong background in Azure Data Factory, Databricks, Pyspark, Python , Azure SQL and other Azure cloud services, and will be responsible for building and managing scalable data pipelines, data lakes, and data warehouses . Experience with Azure Synapse Analytics, Microsoft Fabric or PowerBI will be considered a strong advantage. Key Responsibilities: Design, develop, and manage robust and scalable ETL/ELT pipelines using Azure Data Factory and Databricks Work with PySpark and Python to transform and process large datasets Build and maintain data lakes and data warehouses on Azure Cloud Collaborate with data architects, analysts, and stakeholders to gather and translate requirements into technical solutions Ensure data quality, consistency, and integrity across systems Optimize performance and cost of data pipelines and cloud infrastructure Implement best practices for security, governance, and monitoring of data pipelines Maintain and document data workflows and architecture Required Skills & Qualifications: 3–5 years of experience in Data Engineering Strong hands-on experience with: Azure Data Factory (ADF) Azure Databricks Azure SQL PySpark and Python Azure Storage (Blob, Data Lake Gen2) Hands-on experience with data warehouse/Lakehouse/data lake architecture Familiarity with Delta Lake, MLflow, and Unity Catalog is a plus Good understanding of SQL and performance tuning Knowledge of CI/CD in Azure for data pipelines Excellent problem-solving skills and ability to work independently Preferred Skills: Experience with Azure Synapse Analytics Familiarity with Microsoft Fabric Working knowledge of Power BI for data visualization and dashboarding Exposure to DevOps and infrastructure as code (IaC) in Azure Understanding of data governance and security best practices Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional)

About The Role We are seeking a highly skilled and hands-on Senior Data Scientist with 7+ years of experience to lead the design and implementation of robust machine learning pipelines and drive data-driven decision making across the organization. This role requires a strategic thinker who can bridge the gap between complex data science concepts and practical business solutions, while ensuring model integrity, explainability, and compliance in production environments. As a Senior Data Scientist, you will have end-to-end ownership of the model life cycle, from data ingestion and feature engineering to model deployment, monitoring, and governance. Youll work closely with AI engineers, product teams, and stakeholders to deliver high-impact solutions that drive business value. Key Responsibilities Machine Learning & Predictive Modeling : Design and build sophisticated predictive models using Scikit-learn, XG Boost, LightGBM, and CatBoost for various use cases. Develop advanced forecasting models using Prophet, ARIMA, and neural forecasting techniques for time series analysis. Implement anomaly detection systems and risk scoring models for fraud detection and security applications Create recommendation systems and personalization algorithms using collaborative filtering and deep learning approaches AI Integration & Pipeline Development Collaborate with AI engineers to integrate traditional ML components into LangChain and LLM-driven intelligent systems Design hybrid architectures that combine classical ML with generative AI for enhanced business solutions Develop evaluation frameworks for comparing traditional ML and LLM based approaches Implement retrieval systems that enhance LLM performance with domain specific knowledge Model Lifecycle Management Automate comprehensive model lifecycle processes including training, validation, deployment, and rollback procedures Implement continuous training pipelines using MLFlow, Kubeflow, and Weights & Biases Design and maintain model monitoring systems for drift detection, performance degradation, and data quality issues Establish model governance frameworks ensuring reproducibility and auditability Data Validation & Quality Assurance Lead the development of pre-model and post-model validation frameworks using DeepChecks, Great Expectations, and custom validation rules Implement fairness and bias detection systems using Fairlearn and custom algorithmic auditing tools Design comprehensive data quality monitoring and alerting systems Conduct statistical testing and hypothesis validation for model performance claims Compliance & Security Ensure PII protection and DPDP compliance through secure data preprocessing and anonymization techniques Implement synthetic data generation pipelines using Gretel.ai and other privacy-preserving technologies Design policy-driven access controls and data governance frameworks using Apache Griffin and DataHub Conduct privacy impact assessments and implement differential privacy techniques where applicable Model Explainability & Auditing Develop comprehensive model explainability frameworks using SHAP, LIME, and custom interpretation tools Conduct reasoning-based walkthroughs and accuracy audits for deployed models Perform bias analysis and fairness assessments across different demographic groups Design and implement A/B testing frameworks for model performance evaluation Data Engineering & Pipeline Architecture Design and implement scalable ETL/ELT pipelines using Apache Spark, Flink, and modern data processing frameworks Leverage Redis for intelligent caching strategies and real-time feature serving Implement streaming data processing using Apache Kafka, RabbitMQ, and event-driven architectures Optimize data pipeline performance and ensure data consistency across distributed systems (ref:hirist.tech) Show more Show less

Role Overview We are looking for an experienced MLOps Engineer to join our growing AI/ML team. You will be responsible for automating, monitoring, and managing machine learning workflows and infrastructure in production environments. This role is key to ensuring our AI solutions are scalable, reliable, and continuously improving. Key Responsibilities Design, build, and manage end-to-end ML pipelines, including model training, validation, deployment, and monitoring. Collaborate with data scientists, software engineers, and DevOps teams to integrate ML models into production systems. Develop and manage scalable infrastructure using AWS, particularly AWS Sagemaker. Automate ML workflows using CI/CD best practices and tools. Ensure model reproducibility, governance, and performance tracking. Monitor deployed models for data drift, model decay, and performance metrics. Implement robust versioning and model registry systems. Apply security, performance, and compliance best practices across ML systems. Contribute to documentation, knowledge sharing, and continuous improvement of our MLOps capabilities. Required Skills & Qualifications 4+ years of experience in Software Engineering or MLOps, preferably in a production environment. Proven experience with AWS services, especially AWS Sagemaker for model development and deployment. Working knowledge of AWS DataZone (preferred). Strong programming skills in Python, with exposure to R, Scala, or Apache Spark. Experience with ML model lifecycle management, version control, containerization (Docker), and orchestration tools (e.g., Kubernetes). Familiarity with MLflow, Airflow, or similar pipeline/orchestration tools. Experience integrating ML systems into CI/CD workflows using tools like Jenkins, GitHub Actions, or AWS CodePipeline. Solid understanding of DevOps and cloud-native infrastructure practices. Excellent problem-solving skills and the ability to work collaboratively across teams. (ref:hirist.tech) Show more Show less

We are looking for a highly skilled Generative AI Developer : Responsibilities We are looking for a highly skilled Generative AI Developer with expertise in Large Language Models (LLMs) to join our AI/ML innovation team. The ideal candidate will be responsible for building, fine-tuning, deploying, and optimizing generative AI models to solve complex real-world problems. You will collaborate with data scientists, machine learning engineers, product managers, and software developers to drive forward next-generation AI-powered Responsibilities : Design and develop AI-powered applications using large language models (LLMs) such as GPT, LLaMA, Mistral, Claude, or similar. Fine-tune pre-trained LLMs for specific tasks (e.g., text summarization, Q&A systems, chatbots, semantic search). Build and integrate LLM-based APIs into products and systems. Optimize inference performance, latency, and throughput of LLMs for deployment at scale. Conduct prompt engineering and design strategies for prompt optimization and output consistency. Develop evaluation frameworks to benchmark model quality, response accuracy, safety, and bias. Manage training data pipelines and ensure data privacy, compliance, and quality standards. Experiment with open-source LLM frameworks and contribute to internal libraries and tools. Collaborate with MLOps teams to automate deployment, CI/CD pipelines, and monitoring of LLM solutions. Stay up to date with state-of-the-art advancements in generative AI, NLP, and foundation Skills Required : LLMs & Transformers: Deep understanding of transformer-based architectures (e.g., GPT, BERT, T5, LLaMA, Falcon). Model Training/Fine-Tuning: Hands-on experience with training/fine-tuning large models using libraries such as Hugging Face Transformers, DeepSpeed, LoRA, PEFT. Prompt Engineering: Expertise in designing, testing, and refining prompts for specific tasks and outcomes. Python: Strong proficiency in Python with experience in ML and NLP libraries. Frameworks: Experience with PyTorch, TensorFlow, Hugging Face, LangChain, or similar frameworks. MLOps: Familiarity with tools like MLflow, Kubeflow, Airflow, or SageMaker for model lifecycle management. Data Handling: Experience with data pipelines, preprocessing, and working with structured and unstructured Desirable Skills : Deployment: Knowledge of deploying LLMs on cloud platforms like AWS, GCP, Azure, or edge devices. Vector Databases: Experience with FAISS, Pinecone, Weaviate, or ChromaDB for semantic search applications. LLM APIs: Experience integrating with APIs like OpenAI, Cohere, Anthropic, Mistral, etc. Containerization: Docker, Kubernetes, and cloud-native services for scalable model deployment. Security & Ethics: Understanding of LLM security, hallucination handling, and responsible AI : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. 2-4 years of experience in ML/NLP roles with at least 12 years specifically focused on generative AI and LLMs. Prior experience working in a research or product-driven AI team is a plus. Strong communication skills to explain technical concepts and findings Skills : Analytical thinker with a passion for solving complex problems. Team player who thrives in cross-functional settings. Self-driven, curious, and always eager to learn the latest advancements in AI. Ability to work independently and deliver high-quality solutions under tight deadlines. (ref:hirist.tech) Show more Show less

Position Overview We are seeking a ML Engineer with a strong background in Machine Learning, Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will possess 1+ years of hands-on experience in developing and deploying advanced data-driven solutions. You will play a key role in our AI-CoE team, contributing to cutting-edge projects that drive innovation and business value. A special focus area for this role would be to build AI enabled products that would result in the creation of monetizable product differentiators for Tata Communications products and services. Detailed Job Description & Key Responsibilities Design, develop, and deploy machine learning systems, including Generative AI models and LLMs. Research and implement state-of-the-art ML algorithms and tools. Conduct data preprocessing, feature engineering, and statistical analysis. Train, fine-tune, and optimize machine learning models for performance and accuracy. Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts. Extend existing ML frameworks and libraries to meet project requirements. Stay updated with the latest advancements in machine learning and AI. Skills Working knowledge of machine learning and deep learning skills. Strong knowledge of programming knowledge - Python, SQL and commonly used frameworks & tools - PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. - must have Experience in handling databases (SQL and NoSQL) Exposure to MLFlow, KubeFlow, Git CI/CD Experience with containerization tools like Docker, and orchestration tools like Kubernetes Excellent problem-solving skills and a proactive attitude. Strong communication and teamwork abilities. Ability to manage multiple projects and meet deadlines Interview will involve coding test (ref:hirist.tech) Show more Show less

Who We Are Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value and that we do. Zinnia Has Over $180 Billion In Assets Under Administration, Serves 100+ Carrier Clients, 2500 Distributors And Partners, And Over 2 Million You Are We are looking for a passionate and skilled Python, AI/ML Lead Engineer with 7+ years of experience to join our team. As a Python/AI Lead, you will oversee the development and implementation of machine learning models, AI-driven solutions, and data-driven products. You will guide a team of engineers and collaborate with cross-functional teams to ensure the timely and high-quality delivery of projects. If you thrive in a fast-paced environment and love solving complex problems using data and intelligent algorithms, wed love to hear from you. What Youll Do Lead the design, development, and deployment of Gen AI and machine learning solutions using Python. Provide technical guidance and mentorship to team members, ensuring code quality, best practices, and performance optimization. Collaborate with product managers, data scientists, and other stakeholders to define project requirements and objectives. Take ownership of the full software development lifecycle (SDLC), from design to deployment, maintenance, and optimization. Perform code reviews, write technical documentation, and maintain high standards of software quality. Stay up to date with the latest trends and advancements in AI, machine learning, and Python development. Identify and mitigate technical risks in projects while ensuring timely delivery. Foster a collaborative environment and promote knowledge sharing across the engineering team. What Youll Need 7+ years of professional experience in Python development, with at least 2 years in a technical leadership role. Strong hands-on experience with AI/ML frameworks, Gen AI LLMs and libraries such as TensorFlow, Scikit-learn,or Keras. Python : Strong hands-on experience. Machine Learning : Practical knowledge of supervised, unsupervised, and deep learning techniques. Generative AI : Experience working with LLMs or similar GenAI technologies. API Development : RESTful APIs and integration of ML models into production services. Databases : Experience with SQL and NoSQL databases (e., PostgreSQL, MongoDB, etc. Good To Have Skills Cloud Platforms : Familiarity with AWS, Azure, or Google Cloud Platform (GCP). TypeScript/JavaScript : Frontend or full-stack exposure for ML product interfaces. Experience with MLOps tools and practices (e., MLflow, Kubeflow, etc. Exposure to containerization (Docker) and orchestration IN IT FOR YOU ? At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. (ref:hirist.tech) Show more Show less

Who We Are Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value - and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. Who You Are. We are looking for a passionate and skilled Python, AI/ML Engineer with 5-7 years of experience to join our team. You will work on cutting-edge projects involving Generative AI, machine learning, and scalable systems, helping to build intelligent solutions that deliver real business value. If you thrive in a fast-paced environment and love solving complex problems using data and intelligent algorithms, we'd love to hear from you. What You'll Do Design, develop, and deploy machine learning models and Generative AI solutions. Work on end-to-end ML pipelines, from data ingestion and preprocessing to model deployment and monitoring. Collaborate with cross-functional teams to understand requirements and deliver AI-driven features. Build robust, scalable, and well-documented Python-based APIs for ML services. Optimize database interactions and ensure efficient data storage and retrieval for AI applications. Stay updated with latest trends in AI/ML and integrate innovative approaches into projects. What You'll Need Python :Strong hands-on experience. Machine Learning : Practical knowledge of supervised, unsupervised, and deep learning techniques. Generative AI : Experience working with LLMs or similar GenAI technologies. API Development : RESTful APIs and integration of ML models into production services. Databases : Experience with SQL and NoSQL databases (e., PostgreSQL, MongoDB, etc. Good To Have Skills Cloud Platforms : Familiarity with AWS, Azure, or Google Cloud Platform (GCP). TypeScript/JavaScript : Frontend or full-stack exposure for ML product interfaces. Experience with MLOps tools and practices (e., MLflow, Kubeflow, etc. Exposure to containerization (Docker) and orchestration (Kubernetes). (ref:hirist.tech) Show more Show less