Job Title: Senior AI/ML Engineer Company: Delta Technology Hub Job Category: Machine Learning Roles & Responsibilities: How You'll Help Us Keep Climbing (Overview \& Key Responsibilities) Role Summary We are seeking a highly skilled Sr AI ML Engineer to design, build, and scale enterprise\-grade AI applications on AWS. This role is responsible for developing AI\-powered products using Amazon Bedrock, AgentCore, foundation models, Retrieval\-Augmented Generation (RAG), agentic AI, and serverless AWS technologies. The role will lead the full AI engineering lifecycle, from use\-case discovery and solution architecture through development, evaluation, deployment, monitoring, and ongoing optimisation. The ideal candidate combines strong software engineering skills with expertise in generative AI, agent orchestration, enterprise integration, security, governance, and cloud\-native architecture. Key Responsibilities AI Application Development * Design, build, and deploy production\-ready AI applications using Amazon Bedrock and supported foundation models. * Develop AI\-powered copilots, knowledge assistants, document intelligence solutions, and intelligent workflow automation. * Implement prompt engineering, structured outputs, tool calling, context management, and model integration patterns. * Build reusable AI services, frameworks, and accelerators that support multiple enterprise use cases. * Develop secure APIs and backend services using Python, FastAPI, AWS Lambda, and API Gateway. * Design and develop intelligent agents using Amazon Bedrock AgentCore and related AWS capabilities. * Build multi\-agent solutions using coordinator\-worker, planner\-executor, and human\-in\-the\-loop patterns. * Implement agent runtime, memory, identity, gateway, observability, browser, and code interpreter capabilities where appropriate. * Enable agents to reason, plan, invoke tools, access approved data sources, and execute controlled business workflows. * Integrate agents with enterprise applications, APIs, databases, and tools using Model Context Protocol (MCP) and other approved integration patterns. * Design and implement RAG architectures using Bedrock Knowledge Bases, embeddings, vector search, and semantic retrieval. * Build enterprise knowledge assistants that use structured and unstructured data such as policies, reports, contracts, and operational datasets. * Optimise document ingestion, chunking, metadata, retrieval, reranking, grounding, and context assembly. * Improve response quality through retrieval evaluation, citation support, relevance testing, and hallucination reduction techniques. * Connect AI applications securely to Amazon S3, Redshift, OpenSearch, DynamoDB, and approved enterprise data sources. * Architect scalable, resilient, and cost\-efficient AI solutions using AWS serverless and managed services. * Build orchestration workflows using AWS Lambda, Step Functions, EventBridge, API Gateway, and container services where required. * Implement AI observability, request tracing, usage metrics, logging, alerting, and operational dashboards using CloudWatch and AgentCore capabilities. * Establish CI/CD pipelines, Infrastructure as Code, automated testing, prompt versioning, and environment promotion practices. * Optimise model selection, inference configuration, latency, throughput, token usage, and overall platform cost. * Implement Amazon Bedrock Guardrails and approved runtime controls for prompts and model responses. * Address risks such as prompt injection, data leakage, hallucinations, unsafe outputs, excessive agency, and unauthorised tool usage. * Apply IAM least privilege, encryption, secrets management, network security, audit logging, and data protection standards. * Build evaluation frameworks to measure accuracy, groundedness, relevance, safety, latency, reliability, and cost. * Ensure AI solutions comply with enterprise architecture, security, privacy, risk, and responsible AI requirements. Technical Leadership \& Collaboration * Define AWS AI engineering standards, reference architectures, reusable patterns, and development best practices. * Lead solution design, architecture reviews, code reviews, testing reviews, and production readiness assessments. * Mentor AI engineers and software engineers in Bedrock, AgentCore, RAG, agentic AI, and cloud\-native development. * Partner with product owners, data engineers, security teams, architects, and business stakeholders to identify and prioritise high\-value AI opportunities. * Translate business needs into scalable AI products with clear success measures and measurable business outcomes. What Will Give You a Competitive Edge (Preferred Qualifications) * Experience with Amazon Bedrock AgentCore, Bedrock Agents, Knowledge Bases, and Guardrails. * Experience with agent frameworks such as Strands Agents, LangGraph, CrewAI, or LangChain. * Experience implementing MCP\-based tool and system integrations. * Experience with vector databases, embeddings, reranking, document processing, and multimodal AI. * Experience with AI evaluation, red teaming, model monitoring, prompt management, and responsible AI controls. * Experience deploying AI solutions in regulated or security\-sensitive enterprise environments. * Experience building AI solutions for Finance, analytics, document automation, or decision\-support use cases. * Relevant AWS AI, Machine Learning, Developer, or Solutions Architect certification. Powered by our employees worldwide, Delta has led the airline industry in operational excellence for a decade while maintaining our reputation for award\-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. About The Delta Technology Hub (DTH), Bangalore The DTH is one of Delta Air Lines' investments in world\-class business capabilities and technology aimed at transforming how Delta Air Lines operates and provides world\-class travel experiences to its customers through innovation and cutting\-edge methodologies. By continuously reimagining processes and driving technology\-led transformation, the Delta Technology Hub plays a pivotal role in Scripting The Future Of Aviation. The organization is certified by the Great Place to Work Institute (India). The Delta Technology Hub was a finalist for the iVolunteer Awards 2024/2025 in the "Leader in Employee Volunteering" category. This nomination highlights our remarkable volunteering initiatives and the outstanding practices we implement to encourage and support our employee volunteering program. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: AI & Full Stack Engineer Company: Fancall Private Limited Job Category: Machine Learning Roles & Responsibilities: Role Overview The candidate will be responsible for developing and integrating AI\-powered solutions while contributing to the development of our mobile applications and backend infrastructure. Key Responsibilities * AI \& Machine Learning Development * Develop and integrate AI\-powered features into the Fancall platform. * Work with LLMs, OpenAI APIs, Gemini APIs and other AI models. * Build AI\-based recommendation and personalization systems. * Explore chatbot development, intelligent automation and AI agents. * Work on prompt engineering, RAG pipelines and vector databases. * Optimize AI workflows for performance and scalability. * Backend Development * Develop and maintain backend APIs and services. * Work with Python, Node.js or similar backend technologies. * Handle database architecture, integrations and API optimization. * Build scalable services for mobile applications. * Work with AWS, cloud infrastructure and third\-party integrations. * iOS \& Android Development * Understand and contribute to mobile application development. * Work on integrating AI\-powered features into iOS and Android applications. * Handle API integrations, debugging and performance optimization. * Collaborate with mobile developers to improve application functionality. * Understand mobile application architecture and deployment workflows. * Product Development * Work closely with the product and engineering team. * Identify opportunities to implement AI across the Fancall ecosystem. * Develop prototypes, test new technologies and deploy production\-ready solutions. * Troubleshoot technical issues and improve existing product functionality. * Opportunity to work on a live consumer technology product. * Hands\-on exposure to AI\-driven product development. * Ownership of features from development to production. * Opportunity to work with a cross\-functional engineering team. * Exposure to real\-world scalability and product engineering challenges. Interested candidates can share their resume along with GitHub profiles or links to projects they have developed. Work Location: Ahmedabad, Gujarat, India Availability: Full time
Job Title: AI/ML Developer Company: Seawind Solution Job Category: Machine Learning Roles & Responsibilities: Our Web Designing and Development services include Custom Web Design, HTML Web Design, Bespoke Web Design, Static Web Development, Dynamic Web Development, Flash Website Development, E\-commerce Web Development, Web Portal Development, Business Website Development, Corporate Website Development, etc. Our Web Hosting Solutions include Shared Linux Web Hosting, Shared Windows Web Hosting, Shared Java Web Hosting, Windows Reseller Hosting, Linux Reseller Hosting, Managed and Self Managed Virtual Private Server, Managed and Self Managed Dedicated Server, and going parallel with the technology, Cloud Server and Flash Media Server, etc. All of our hosting packages include Extreme 24×7 Telephonic and Mail Support with 100 % Satisfied Services. Job Description : #### Responsibilities \& Duties Assist in developing and experimenting with artificial intelligence and machine learning solutions. * Assist in developing and testing machine learning models. * Work with datasets and perform data preprocessing. * Research AI/ML techniques and tools. * Assist in model evaluation and optimization. * Work with Python and AI/ML libraries. * Explore and integrate AI APIs and solutions. Work Location: Gujarat, India Availability: Full time
Job Title: Senior Site Reliability Engineer Company: Okta Job Category: Machine Learning Roles & Responsibilities: Okta authenticates, authorizes, and provision millions of users a day. Internally, TDI Infrastructure Engineering runs the platforms that our own engineering and business teams build on — hosted on AWS, increasingly Kubernetes\-native, and expanding fast to support AI\-driven internal workflows. We're looking for a Senior SRE to help us evolve Site Reliability Engineering from a traditional operations model into a true Platform as a Service (PaaS) organization. As a Senior Site Reliability Engineer on our Bengaluru/India team, you will build and operate the Kubernetes\-based platform that hosts internal workflows across the business, with a growing focus on hosting AI\-driven workflows reliably in production. You'll report to the Manager, Site Reliability Engineering, and work closely with the rest of the India SRE team, as well as global SRE peers. * Building, operating, and improving our Kubernetes platform — cluster management, networking, security posture, and day\-2 operations * Developing self\-service capabilities, golden paths, and automation that let internal teams onboard and operate workflows with less platform expertise required * Supporting the platform's readiness to host AI\-driven internal workflows reliably at scale * Troubleshooting and resolving production issues, including participating in a follow\-the\-sun on\-call rotation shared with SRE peers in the US and India, and driving postmortems for incidents you own * Contributing to and upholding reliability practices — SLIs/SLOs, error budgets, and operational runbooks * Improving CI/CD pipelines and infrastructure\-as\-code practices, including change and release management * Building and maintaining observability and monitoring coverage for the systems you own * Mentoring junior engineers and contributing to design and code reviews * Collaborating with the India team to align local implementation with the broader global platform strategy This role is based in Bengaluru, India. Okta operates a flexible hybrid work model; specific in\-office expectations will be discussed during the hiring process. This role requires regular collaboration with SRE peers and engineers globally, so some flexibility in working hours should be expected. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy.* * Supporting Your Well\-Being * Driving Social Impact * Developing Talent and Fostering Connection \+ Community Work Location: Karnataka, India Availability: Full time
Job Title: AI Engineer Company: MarLabs Job Category: Machine Learning Roles & Responsibilities: * Design and develop AI/ML PoCs, prototypes, and demonstrations using structured and tabular data for forecasting, risk scoring, churn prediction, optimization, and related business use cases. * Build, train, tune, and evaluate machine learning models using supervised, unsupervised, and semi\-supervised techniques, including XGBoost, CatBoost, LightGBM, clustering, PCA, anomaly detection, and time\-series modeling. * Develop AI/ML workflows using cloud platforms such as AWS SageMaker, Azure Machine Learning, or Databricks ML, supporting scalable model experimentation, training, and deployment. * Collaborate with data engineering teams to design data ingestion, preprocessing, feature engineering, and transformation pipelines using Python, Spark, and cloud\-native technologies. * Partner with sales engineering and business stakeholders during pre\-sales discussions, demonstrations, and technical workshops, translating business challenges into practical AI/ML solutions and effectively communicating model insights and business value. * Apply MLOps and AI engineering best practices across model evaluation, explainability, versioning, deployment, performance monitoring, drift detection, and optimization while developing reusable AI assets for transition to delivery teams. Work Location: Karnataka, India Availability: Full time
Job Title: Cloud Engineer, Data and AI Company: Google Job Category: Machine Learning Roles & Responsibilities: As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products. In this role, you are the Google Engineer working with Google's largest and most ambitious Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise\-grade solutions that leverage Google’s cutting\-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities -------------------- * Provide expert advisory on architectural frameworks and operational best practices for comprehensive Agentic platforms, encompassing deployment, monitoring, evaluation, governance, and security protocols. * Lead comprehensive artificial intelligence initiatives through strategic thought leadership, while identifying agentic workflows and designing robust architectural solutions for advanced agentic implementations. * Deliver effective big data and machine learning solutions and solve complex technical customer challenges. * Identify new product features and feature gaps, provide guidance on existing product challenges, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform. * Provide expert guidance on architectural data strategies to ensure optimized utilization across different AI models. Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Work Location: Karnataka, India Availability: Full time
Job Title: Senior Data Scientist – Search Company: SproutsAI Job Category: Machine Learning Roles & Responsibilities: About The Role We are looking for a talented Data Scientist to join customer's team and drive impactful machine learning solutions. You will work on complex, high\-impact problems by turning ambiguous business challenges into clear quantitative frameworks and production\-ready ML models. This role offers the opportunity to build, evaluate, and optimize models that directly influence product and business decisions. Key Responsibilities * Develop and evaluate machine learning models using techniques such as regression, classification, tree\-based methods (e.g., Random Forest, XGBoost, LightGBM), and clustering on large\-scale datasets * Apply both supervised and unsupervised learning approaches to solve real\-world problem * Perform end\-to\-end model development: feature engineering, feature selection, model tuning, hyperparameter optimization, and rigorous model evaluation. * Translate vague business requirements into well\-defined data science problems and deliver actionable ML solutions. * Collaborate with cross\-functional teams (Product, Engineering, Business) to identify opportunities and measure impact. * Monitor model performance and continuously improve existing solutions This is an urgent role, early joiners will be preferred* Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Data Science Consultant 1 - Machine Learning/ Data Science Company: Blue Yonder Job Category: Machine Learning Roles & Responsibilities: * Join one of the world’s leading AI\-driven supply chain solutions companies, recognized by Glassdoor as one of the “Best Places to Work.” * We are looking for a skilled individual with a strong foundation in statistical and analytical methods, who can also collaborate effectively with teams during deployment and operational phases. Expertise in implementing industry best practices is a plus. * As a Data Science Consultant, you will be a key player in onboarding clients onto Blue Yonder’s Luminate Planning suite of solutions and providing ongoing support through our Applied Data Science offering. * Our team currently consists of approximately 30 associates in India, part of a larger global team spanning the US and Germany, and is poised for rapid growth. Strong communication and leadership abilities are essential, as you will mentor junior team members. Work Location: Coimbatore, India Availability: Full time
Job Title: Advanced Data Science Associate Company: ZS Job Category: Machine Learning Roles & Responsibilities: ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side by side with a powerful collective of thinkers and experts shaping life\-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client\-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life\-changing impact to ZS. Insights \& Analytics ZS's Insights \& Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem\-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. How you’ll grow: * Cross\-functional skills development \& custom learning pathways * Milestone training programs aligned to career progression opportunities * Internal mobility paths that empower growth via s\-curves, individual contribution and role expansions How you’ll grow: * Cross\-functional skills development \& custom learning pathways * Milestone training programs aligned to career progression opportunities * Internal mobility paths that empower growth via s\-curves, individual contribution and role expansions Perks \& Benefits: At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in India, visit ZS India office locations \| Where we work \| ZS. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Analyst-Data Science Company: American Express Job Category: Machine Learning Roles & Responsibilities: Job Description The AIM (Analytics, Investment \& Marketing Enablement) team – a part of GCS Marketing – is the analytical engine that enables the Global Commercial Services portfolio of American Express. Accelerating growth momentum, increasing profitability, and strengthening our value proposition are key objectives for this organization. This Analyst – Data Science role, based out of India, will join the Prospect Cross\-functional team within AIM and execute analytical workstreams supporting prospect targeting and acquisition initiatives. Leveraging a broad analytical toolkit—including advanced machine learning, predictive modeling, optimization, and Generative AI—the role supports the end\-to\-end development of scalable analytical solutions that enhance targeting precision, engagement effectiveness, and marketing ROI. This role provides an opportunity to build next\-generation AI\-powered capabilities across prospect enrichment, intelligent targeting, lead prioritization, and decision support by combining advanced analytics with modern Generative AI techniques. Working closely with data scientists, product managers, engineers, and business stakeholders, the Analyst will develop scalable analytical solutions that accelerate data\-driven decision making while maintaining the highest standards of Responsible AI and model governance. Shift Time: 1:30 pm \- 9:30 pm (should be flexible to US timing's ) Responsibilities * Execute analytical and data science solutions to solve business problems using statistical techniques, machine learning, and modern Generative AI approaches. * Develop, test, and maintain analytical models and AI\-enabled data products—including predictive models, prospect scoring, prioritization, matching, enrichment, and intelligent decision\-support capabilities—to improve targeting and acquisition effectiveness. * Design, build, and evaluate Generative AI workflows, including Retrieval\-Augmented Generation (RAG), embedding\-based retrieval, semantic search, prompt engineering, structured outputs, and LLM\-powered applications, selecting appropriate approaches based on business requirements, solution quality, scalability, latency, cost, and governance considerations. * Design and execute experiments to evaluate prompting strategies, retrieval configurations, model selection, and workflow architectures, continuously optimizing solution quality, response accuracy, operational efficiency, and business impact. * Perform data extraction, preparation, feature engineering, and data quality validation using large\-scale datasets to support AI/ML model development and analytical initiatives. * Apply statistical and machine learning techniques to improve model performance through experimentation, feature refinement, validation, and continuous model optimization using established best practices. * Collaborate with product, engineering, and business stakeholders to support the implementation, deployment, monitoring, and continuous improvement of analytical and Generative AI solutions within business workflows. * Evaluate AI and GenAI solution performance using quantitative and qualitative evaluation techniques, including model performance metrics, retrieval quality, response accuracy, prompt robustness, business outcome measures, and production monitoring. * Communicate analytical findings, model outputs, and business insights clearly through presentations and technical documentation for both technical and non\-technical stakeholders. * Ensure compliance with Responsible AI principles, model governance, data integrity, explainability, bias assessment, prompt safety, monitoring, audit readiness, and enterprise risk management standards throughout the analytical development lifecycle. About Us At American Express, our culture is built on a 175\-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world\-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well\-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. * Competitive base salaries * Bonus incentives * Support for financial\-well\-being and retirement * Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) * Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need * Generous paid parental leave policies (depending on your location) * Free access to global on\-site wellness centers staffed with nurses and doctors (depending on location) * Free and confidential counseling support through our Healthy Minds program * Career development and training opportunities Work Location: Gurugram, Haryana, India Availability: Full time
