Job Title: HR GHRSS HRIT Hyd 171336 Company: ADP Job Category: Machine Learning Roles & Responsibilities: Job Summary: Seeking an experienced AWS AI Data Engineer to design, build, and optimize scalable data and AI/ML solutions on AWS Cloud. The ideal candidate should possess strong expertise in modern data engineering, cloud\-native architecture, machine learning data pipelines, and Generative AI solutions. The role involves developing robust data platforms, enabling AI workloads, and collaborating with data scientists, ML engineers, and business stakeholders to deliver impactful analytics and AI\-driven solutions. Key Responsibilities: Design, develop data ingestion solutions from APIs, databases, and maintain scalable ETL/ELT pipelines on AWS. Design, develop, and deploy Generative AI applications using Amazon Bedrock, SageMaker, and foundation models. Build and implement Retrieval\-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge repositories. Enable AI/ML and Generative AI workloads through robust data pipelines. Integrate Large Language Models (LLMs) with enterprise systems, APIs, and business workflows. Design and optimize prompts, evaluate model performance, and improve response quality through prompt engineering techniques. Implement AI guardrails, content filtering, and responsible AI practices to ensure safe and compliant GenAI deployments. Monitor GenAI application performance, model usage, latency, and costs while ensuring scalability and reliability. Implement and ensure data quality, governance, security, scalability, and cost\-effective AWS data platforms. Collaborate with Data Scientists, ML Engineers, and business stakeholders. Develop conversational AI solutions, enterprise copilots, intelligent search, and knowledge\-management applications. Document technical solutions and support Agile delivery practices. \#\#LI\-DNI Required Skills Strong experience with AWS Services: S3, Glue, Lambda, Redshift, DynamoDB, IAM, Step Functions, API Gateway, EC2, ECS/EKS. Proficiency in Python, PySpark and SQL. Hands\-on experience with Amazon SageMaker and/or Amazon Bedrock, OpenSearch, Generative AI, RAG, Vector Databases, Prompt Engineering and LLM orchestration platforms. Experience implementing enterprise scale RAG architecture, embeddings, and vector databases (OpenSearch, pgvector, Pinecone, Chroma, etc.). Experience building and deploying scalable, secure, and production\-grade GenAI and Agentic AI applications on AWS. Strong understanding of Large Language Models (LLMs), Prompt Engineering, Retrieval\-Augmented Generation (RAG), AI Agents, Multi\-Agent Systems, and Conversational AI solutions. Experience building enterprise AI copilots, chatbots, document intelligence, or knowledge assistant solutions. Strong understanding of REST APIs, Microservices, CI/CD pipelines, Git, Docker, and cloud\-native development practices. Ability to work closely with business stakeholders and cross\-functional teams to identify use cases and deliver AI\-driven solutions. Excellent analytical, problem\-solving, and communication skills with a passion for innovation and emerging AI technologies. Preferred Skills: Experience with Data Lakes, ETL/ELT, Data Warehousing, and Data Modeling. Working experience with Terraform/CloudFormation, Git, CI/CD, and Docker. Exposure to LLMOps, model evaluation, prompt optimization, monitoring, governance, and Responsible AI practices. AWS Certifications (Developer Associate, Solutions Architect, Data Engineer, AI Practitioner) are a plus. Location: Hyderabad A little about ADP: We are a comprehensive global provider of cloud\-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration and a leader in business outsourcing services, analytics, and compliance expertise. We believe our people make all the difference in cultivating a down\-to\-earth culture that embraces our core values, welcomes ideas, encourages innovation, and values belonging. We've received recognition for our work by many esteemed organizations, learn more at ADP Awards and Recognition. Work Location: Telangana, India Availability: Full time
Job Title: Assoc Machine Learning Engineer Company: ServiceNow Job Category: Machine Learning Roles & Responsibilities: Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI\-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud\-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description What you get to do in this role: The Advanced Technology Group (ATG) at ServiceNow is a customer\-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end\-to\-end, industry\-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end\-to\-end AI\-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de\-risk AI technologies that unlock new work experiences in the future. * Build the best cloud\-based AI/ML solutions to power intelligent enterprise services * Collaborate daily with a team of like\-minded developers, product managers and quality engineers to produce quality software * Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high\-quality solutions to our users Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third\-party service. Work Location: Hyderabad, Telangana, India Availability: Full time
Job Title: Associate AI Solution Engineer Company: Ocugen India Pvt Ltd Job Category: Machine Learning Roles & Responsibilities: To design, develop, deploy, and support enterprise AI solutions using Large Language Models (LLMs), Retrieval\-Augmented Generation (RAG), intelligent chatbots, and AI agent frameworks. The role will focus on building secure, scalable, and business\-ready AI applications for internal users and business functions including Research \& Development, IT, Regulatory Affairs, Clinical Operations, Quality Assurance and corporate functions. The ideal candidate should have strong technical knowledge in Generative AI and should bring experience working in implementing intelligent systems that enable computers to understand, analyze, and reason with both visual and textual data in a manner similar to human cognition along with basic understanding of pharmaceutical and biotechnology processes, regulatory documentation, SOPs, controlled documents, and compliance\-driven environments. The Candidate should have basic knowledge of Software Development. 2\. DUTIES AND RESPONSIBILITIES AI Chatbot, RAG \& Agent Development * Develop research and product roadmaps aligning with scientific and business objectives. * Develop AI\-powered chatbots and virtual assistants for internal business users. * Build RAG\-based applications that retrieve answers from SharePoint, PDFs, Word documents, SOPs, policies, databases, and internal knowledge repositories. * Create AI agent workflows for knowledge retrieval, document review, authoring, and business process automation. * Use frameworks such as Lang Chain, Lang Graph, Llama Index, Semantic Kernel, or similar tools under technical guidance. * Apply prompt engineering, grounding techniques, response validation, and evaluation methods to improve answer quality and reduce hallucinations. * Support document ingestion pipelines for PDFs, Word files, Excel files, SOPs, regulatory content, and knowledge articles. * Work on chunking, metadata extraction, embeddings, vector indexing, semantic search, and citation\-based response generation. * Use vector databases/search tools such as Azure AI Search, Azure Cosmos DB Application Development \& Deployment * Develop backend APIs and AI services using Python, Fast API, Flask, or similar frameworks. * Develop document processing solutions using OCR, Natural Language Processing (NLP), and intelligent data extraction technique * Support deployment and maintenance of AI applications using Azure services, Docker, Git, and CI/CD pipelines. * Follow organizational security, privacy, access control, and data governance standards while developing AI solutions. * Support responsible AI practices including auditability, monitoring, explainability, and controlled use of enterprise data. * Prepare technical documentation, user guides, architecture notes, test cases, and validation\-support documents where required. DevOps: Docker basics, CI/CD basics, deployment and monitoring awareness * The candidate should have basic awareness of pharma and biotech work environments so that AI solutions can be aligned with business needs, document control expectations, and compliance requirements. * Basic understanding of drug discovery, drug development, clinical trials, regulatory affairs, quality assurance, and manufacturing processes. * Awareness of SOPs, protocols, clinical study reports, investigator brochures, CTD modules, policies, and controlled documents. * Basic knowledge of GxP concepts, data integrity, audit trails, version control, document lifecycle management, and approval of workflows. * Familiarity with regulatory references such as FDA, EMA, ICH guidelines, and 21 CFR Part 11 is preferred. * Understanding AI uses cases in pharma/biotech such as regulatory document search, medical writing assistance, clinical knowledge assistant, pharmacovigilance triage, quality document review, and R\&D knowledge management. This is a largely sedentary role. * This position is fully office‑based (on‑site) . * Job may require availability beyond standard working hours to support priority business needs, audits, or inspections. Work Location: Hyderabad, Telangana, India Availability: Full time
Job Title: AI/ML Engineer Company: EAGLE NET Group Job Category: Machine Learning Roles & Responsibilities: Job Description: AI/ML Engineer About the Role The ideal candidate will have practical experience building Retrieval\-Augmented Generation (RAG) pipelines, developing Model Context Protocol (MCP) servers and tools, implementing data engineering workflows, and deploying scalable AI/ML solutions in production environments. You will work on developing intelligent applications, integrating LLMs with enterprise APIs and data sources, and building reliable, scalable AI\-powered systems. Key Responsibilities * Design, develop, and maintain RAG pipelines, including document chunking, embeddings, vector search, and re\-ranking. * Build MCP (Model Context Protocol) servers and tools to connect internal APIs, services, and data sources with LLM\-powered agents. * Design, develop, and schedule DAG\-based workflows using Databricks Workflows and/or Apache Airflow. * Build and maintain scalable ETL and machine learning pipelines using PySpark, Delta Lake, and MLflow. * Develop production\-ready Python APIs and backend services using FastAPI or Django. * Write unit tests, integration tests, and maintain high\-quality, reusable, and maintainable code. * Implement LLM evaluation frameworks, guardrails, and monitoring for model performance, cost, and latency. * Collaborate with cross\-functional teams to integrate AI/ML solutions into existing business applications. * Troubleshoot, optimize, and continuously improve the performance, scalability, and reliability of AI/ML applications. 1\. Programming \& Backend Development 8\. Development \& Deployment Tools * Experience building AI agents and agentic workflows using LangGraph. * Familiarity with RAG evaluation frameworks such as RAGAS and LangSmith. * Knowledge of recommendation systems. * Experience implementing CI/CD pipelines using GitHub Actions. * Understanding of LLM observability, prompt optimization, and production monitoring. Work Location: Hybrid remote in Hyderabad, Telangana Work Location: Hyderābād, India Availability: Full time
Job Title: Senior AI/ML Engineer | Freelance / Part-Time !! Company: Platinus Technologies Job Category: Machine Learning Roles & Responsibilities: Job Description Roles \& Responsibilities * Develop and support AI/ML\-based applications. * Work on Machine Learning and Deep Learning models. * Develop Generative AI and LLM\-based solutions. * Work on RAG pipelines, prompt engineering, and model integration. * Support Python\-based AI/ML development projects. * Debug, optimize, and maintain AI/ML solutions. Work Location: Hyderabad(Begumpet), India Availability: Full time
Job Title: Machine Learning Engineer III Company: Brightstar Lottery Job Category: Machine Learning Roles & Responsibilities: Brightstar is an innovative, forward\-thinking global leader in lottery that builds on our renowned expertise in delivering secure technology and producing reliable, comprehensive solutions for our customers. As a premier pure play global lottery company, our best\-in\-class lottery operations, retail and digital solutions, and award\-winning lottery games enable our customers to achieve their goals, fulfill player needs and distribute meaningful benefits to communities. Brightstar has a well\-established local presence and is a trusted partner to governments and regulators around the world, creating value by adhering to the highest standards of service, integrity, and responsibility. Brightstar has approximately 6,000 employees. For more information, please visit www.brightstarlottery.com. Overall Step into the role of Machine Learning Engineer IV at Brightstar in Hyderabad, Telangana, India. Guide the progress of our AI and machine learning solutions, championing innovation and excellence. You may be evaluated on important skills for success in the role, including monitoring, scalability, change management, security, as well as business insight and discernment. Purpose Of The Role To build, develop, and improve software and solutions using various engineering methodologies, delivering outstanding business, platform, and technology capabilities for our customers and colleagues. Accountabilities * Development and delivery of high\-quality software solutions using industry\-aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. * Cross\-functional collaboration with product managers, marketing, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. * Partnering with team members, joining in code assessments, and advocating for a culture of coding excellence and sharing information. * Keeping up\-to\-date with industry technology trends and advancements, participating in the organization’s technology networks to cultivate a culture of technical excellence and advancement. * Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. * Implementation of effective unit testing practices to ensure accurate code composition, readability, and reliability. Other Responsibilities You May Need To Support * Engage in complex analysis of data from multiple sources of information, both internal and external, to solve problems creatively and effectively. * Identify ways to mitigate risk and develop new policies/procedures in support of the control and governance agenda. * Collaborate with other business\-aligned support areas to keep up to speed with business activity and strategy. * Communicate complex information, which could include sensitive or difficult\-to\-communicate content, effectively to various audiences. * Influence or convince collaborators to achieve desired outcomes. Success Profile * Leading Complexity * Leading People * Leading the Business * Leading Self All Brightstar employees have a role in information security. Annual training will be assigned and required as appropriate. Work Location: Hyderabad, Telangana, India Availability: Full time
Job Title: AI Engineer Company: ALTCloudAI Job Category: Machine Learning Roles & Responsibilities: ⚡ Work in an AI\-native engineering team — we use AI\-assisted development and MCP\-based tooling day to day, so you will be shipping software the way modern engineering teams increasingly do Work Location: Hyderabad, Telangana, India Availability: Full time
Job Title: AI/ML Engineer Company: NationsBenefits Job Category: Machine Learning Roles & Responsibilities: At NationsBenefits, we are leading the transformation of the insurance industry by developing innovative benefits management solutions. We focus on modernizing complex back\-office systems to create scalable, secure, and high\-performing platforms that streamline operations for our clients. As part of our strategic growth, we are focused on platform modernization — transitioning legacy systems to modern, cloud\-native architectures that support the scalability, reliability, and high performance of core backoffice functions in the insurance domain. The candidate should have strong practical exposure to model development, deployment, monitoring, and scalable AI Key Responsibilities: * Develop and deploy AI/ML and Generative AI solutions for enterprise use cases. * Build and maintain end\-to\-end ML pipelines from training to production deployment. * Implement monitoring, observability, and performance tracking for AI systems. * Work with APIs, vector databases, embeddings, and RAG\-based applications. * Collaborate with cross\-functional teams to optimize scalable AI deployments. Work Location: Hyderabad, Telangana, India Availability: Full time
Job Title: Python Junior architect or Tech Lead Company: kk Software Associates Job Category: Machine Learning Roles & Responsibilities: Role: Python Junior architect or Tech Lead Mandate Skills : Python Junior architect/Tech Lead, Fast API, Angular, end to end solution architect and designing, agile, Safe framework Work location : Hyderabad only(one needs to be flexible to work 4 days in client office) Job Description As a Architect, you will be responsible for designing, developing, enhancing, and maintaining scalable backend services and BFF (Backend\-for\-Frontend) layers. You will work closely with cross\-functional teams to deliver high\-quality, reliable, and maintainable software solutions that support critical business workflows. Key Roles \& Responsibilities: * Develop and maintain backend services using Python 3\.10 and FastAPI. * Design and implement RESTful APIs, ensuring scalability, performance, and security. * Build and support BFF layers that enable seamless frontend integration. * Collaborate with product managers, QA teams, and developers to deliver product enhancements. * Troubleshoot and resolve production issues across APIs, databases, logs, deployments, and frontend interactions. * Create and execute unit, integration, and API tests to ensure application quality. * Participate in code reviews and contribute to architecture and design discussions. * Support CI/CD processes, containerization, and deployment activities. * Assist in root\-cause analysis, issue triaging, and continuous product improvement. * Contribute to engineering best practices, process improvements, and knowledge sharing initiatives. * 12\+ years of professional software development experience. * Strong experience in Python development, preferably Python 3\.10\. * Hands\-on experience with FastAPI and Uvicorn. * Experience developing REST APIs and backend services. * Strong understanding of data validation, error handling, dependency injection, and asynchronous programming. * Experience building or maintaining BFF architectures. * Familiarity with microservices architecture and distributed systems. * Strong debugging and troubleshooting skills across application layers. * Experience designing and executing unit tests, integration tests, and API tests. * Knowledge of service\-to\-service communication patterns. * Ability to work independently with strong ownership and accountability. * Excellent verbal and written communication skills. * Python 3\.x * FastAPI * Uvicorn * REST API Development * Backend\-for\-Frontend (BFF) Architecture * Microservices * Backend Integration Testing * Unit Testing \& Integration Testing * Dependency Injection * Async Programming * API Design \& Development * Error Handling \& Validation * Git * Agile/Scrum Methodologies * Angular 17 * Kubernetes * Docker * CI/CD Pipelines * Authentication \& Session Management * Token\-Based Security * Release Management * Deployment Troubleshooting * SBOM Generation * Product Support \& Incident Management * Scientific or Laboratory Workflow Applications * Cloud\-Native Application Development Work Location: Hyderabad, India Availability: Full time
Job Title: Manager Company: Pepsico Job Category: Machine Learning Roles & Responsibilities: We are looking to hire AI Platforms Manager role at Hyderabad location. Please find the below Job description and please share updated resumes at lokesh.burka@pepsico.com TheAI Observability Engineer (Agentic Frameworks \& AI Agent Operations Center Developer)builds and operationalizesagentic AI solutionsusing modern orchestration frameworks and contributes to anAI Agent Operations Centerthat enables safe, reliable, and observable agent behavior at scale. This role focuses on developing agent workflows (planning, tool execution, memory, and RAG), integrating guardrails and evaluations, and delivering operational capabilities such as run management, telemetry, and incident triage for production agents. Responsibilities: 1. AI Agent Operations Center (70%) * Build operations center capabilities for agent runtime management: agent registry, versioning, deployment tracking, and run histories * Enable operational workflows such as incident triage, replay/debug runs, trace correlation, and root\-cause analysis across agent steps * Implement operational dashboards and views for agent health: success rate, latency, tool failure rate, cost per run, and loop detection * Instrument agent flows end\-to\-end using OpenTelemetry (or equivalent), enabling correlation across prompts, tool calls, retrieval, and responses * Implement semantic conventions and tagging standards (agent name/version, tool name, model provider, environment, tenant/app) * Partner with SRE/observability teams to ensure production\-grade monitoring, alerting, and operational readiness 5. Integration \& Deployment (10%) * Build and maintain CI/CD pipelines for agent services and operations center components, including automated testing and deployment * Automate onboarding for new agent use cases (templates, scaffolding, configuration checks) * Drive best practices for secure, scalable, and cost\-effective agent deployments 7. Continuous Learning (10%) * Stay updated with the latest advancements in AI and machine learning technologies and integrate these into existing or new AI agents. * Conduct thorough testing and validation to ensure the reliability and accuracy of AI agents and solutions. * Decision\-Making Autonomy Moderate Significant autonomy in the technical aspects of AI model development and implementation, working under the strategic direction provided by the Senior AI Solutions leads. * Supervision Required Moderate Operates with general guidance from the Senior AI Solutions leads, with regular updates for alignment and support. * Complexity of Role High The role requires managing complex AI/ML projects, working with large datasets, and ensuring successful integration with existing systems while maintaining scalability. * Cross\-Functional Interactions Yes – Regular interaction with Data Science, Engineering, IT, digital products and business stakeholders to ensure effective AI solution Observability. Work Location: India Availability: Full time
