Job Title: Machine Learning Engineer (Robotics/ Physical AI) Company: PeopleGene Job Category: Machine Learning Roles & Responsibilities: About the role: * Build training data to operate on physical robotic platforms. * Own the full machine learning lifecycle—from data collection and custom architecture design to edge deployment, simulation\-to\-real (sim\-to\-real) transfer, and continuous hardware optimization. * Design, train, and evaluate deep learning, computer vision, and multimodal models (e.g., Vision\-Language\-Action or VLA systems) for robotic perception, reasoning, and manipulation. * Apply synthetic data, domain randomization, imitation learning, and reinforcement learning within simulation environments before transferring policies to physical robots. * Optimize, quantize, and compile ML models to run with low latency on edge compute hardware, sensors, and embedded robotic platforms. * Build and maintain scalable data ingestion, labeling, automated testing, and MLOps/monitoring pipelines for real\-world operational data. * Work side\-by\-side with mechanical, electrical, controls, and software engineers to integrate AI models into safe, reliable physical machines. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: AI/ML Engineer Company: Solventum Job Category: Machine Learning Roles & Responsibilities: At Solventum, we improve lives by helping healthcare professionals do their best work. Join a team using innovation and insight to make a real impact on the future of healthcare. All roles listed are with Solventum, and we’re committed to protecting your personal information—learn more in our Privacy Policy: https://www.solventum.com/en\-us/home/legal/website\-privacy\-statement/applicant\-privacy/ Job Description AI/ ML Engineer (Solventum) 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game\-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You’ll Make in this Role As An AI/ML Engineer, You Will Have The Opportunity To Tap Into Your Curiosity And Collaborate With Some Of The Most Innovative And Diverse People Around The World. Here, You Will Make An Impact By * Design, develop, and implement AI/ML solutions to solve business problems, contributing to projects from proof of concept and pilot through production deployment. * Build and apply both traditional machine learning models and modern AI techniques, including large language models (LLMs), generative AI, retrieval\-augmented generation (RAG), and agentic AI systems. * Collaborate with senior engineers, product managers, data scientists, and business stakeholders to refine project scope, technical approach, success metrics, and deployment requirements. * Contribute to building scalable and maintainable AI systems with a focus on accuracy, robustness, fairness, and explainability, adhering to responsible AI principles. * Apply model evaluation frameworks to assess performance, generalization, bias, and resilience to edge cases or adversarial inputs. * Support the transition of AI prototypes into production\-ready systems by partnering with platform and engineering teams on deployment, monitoring, and lifecycle management. * Contribute to documentation, governance, and compliance processes to meet enterprise and regulatory standards, especially in healthcare and other regulated environments. Work location: * Hybrid Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Lead Data Scientist Company: Philips Job Category: Machine Learning Roles & Responsibilities: Lead Data Scientist Job Description Job title: Lead Data Scientist Your Role The Lead Data Scientist architects, builds, and runs production\-grade Machine Learning and Generative AI systems—owning the full lifecycle from model development to scalable cloud deployment and ongoing performance monitoring . In addition, the role partners with commercial stakeholders translate market/customer data into decision\-ready insights and AI\-enabled analytics solutions that drive measurable outcomes Operating with a builder and translator mindset , the individual rapidly develops MVP analytics solutions , leverages AI to accelerate insight generation , and ensures strong product engineering fundamentals, data quality , and governance . The role plays a critical part in establishing a single source of truth for performance management across markets and channels while elevating analytics maturity from descriptive reporting to predictive and insight\-led decision making . Key Responsibilities * ML \& Deep Learning Model Development * Design, train, and optimize ML models for prediction, classification, ranking, time\-series forecasting, anomaly detection, NLP, and recommendation use cases. * Build robust experimentation workflows (train/validation strategy, ablations, error analysis) and improve model quality through iterative tuning. * Ensure reproducibility and maintainability through clean code practices, versioning, and automated testing. * GenAI Engineering (LLMs, RAG / MCP / fine\-tuning, Agents) * Build enterprise\-grade LLM applications using RAG (retrieval\-augmented generation), MCP, and fine\-tuning approaches: chunking strategies, embedding generation, hybrid retrieval, reranking, prompt templates, and citation/attribution patterns. * Develop LLM applications with tool use/function calling patterns and agentic workflows where appropriate. * Implement systematic evaluation: curated eval sets, prompt regression tests, hallucination checks, retrieval quality metrics, and automated quality gates. * ML \& LLM Operations: Productionization, Deployment \& Monitoring * Deploy and operate real\-time and batch inference solutions on Azure using managed endpoints and/or containerized serving. * Build CI/CD for ML systems: automated packaging, container builds, model validation tests, staged rollouts, and rollback strategies. * Establish lifecycle management: model registry/versioning, lineage, promotion workflows, and release governance. * Implement observability: latency, throughput, cost, drift signals, data quality checks, alerts, and performance degradation monitoring. * Pipeline Orchestration \& Automation (Train → Deploy) * Build standardized ML pipelines for training, evaluation, and deployment using orchestration tools (cloud\-native pipelines and/or platform tools). * Automate dataset/version management, feature generation, scheduled retraining triggers, and approval workflows. * Define repeatable patterns for scalable experimentation and reliable production delivery. * Analytics Products, Dashboards \& Data Governance * Own key analytics outputs as products (dashboards, reusable datasets, internal tools), continuously improving them based on usage patterns and performance gaps. * Build and automate dashboards and analytical components using scalable SQL logic, Python transformations, and reusable modules. * Act as owner for critical commercial/syndicated datasets (e.g., GfK, Circana, Nielsen or equivalent): definitions, assumptions, and limitations, ensuring transparent logic and trust in outputs. * Partner with data engineering/IT to ensure data quality, harmonization, and governance through strong validation and reconciliation practices. * Stakeholder Partnership \& Decision Support (Lightweight, High Impact) * Serve as trusted analytics thought partner to senior stakeholders (e.g., BU leadership, Sales, Marketing, Finance), shaping problem statements and aligning on success metrics. * Translate complex analytics into clear recommendations with a decision\-oriented storyline (“so\-what / now\-what”), tailored for leadership forums and reviews. * Support performance reviews, planning cycles, and high\-priority ad\-hoc requests with speed, rigor, and confidence; proactively challenge assumptions with fact\-based insights. * Responsible AI, Security, and Risk Controls (GenAI\-ready) * Implement guardrails: prompt injection defenses, sensitive data protections, output validation, and secure tool execution patterns. * Apply responsible AI practices: transparent evaluation criteria, auditability, and risk controls aligned to enterprise needs. * Technical Leadership (Lead\-level Expectations) * Set engineering standards for DS/ML codebases: design docs, code review practices, testing discipline, and production readiness checklists. * Mentor data scientists/ML engineers on modeling, GenAI engineering, and MLOps best practices. * Lead architectural decisions across modeling approaches, retrieval stack, serving patterns, and evaluation strategy. Core Skills \& Competencies Must\-have (Technical) * Strong Python (production\-quality coding) and solid CS fundamentals; strong SQL for data access and validation. * Depth in ML: Traditional ML exposure and at least one deep learning framework (PyTorch/TensorFlow), with strong understanding of metrics and failure modes. * GenAI implementation: RAG / MCP / fine\-tuning, embeddings/vector search, prompt orchestration, evaluation harnesses, and LLM application patterns. * Production deployment experience on AWS or Azure (model/LLM app deployment, API serving, scaling, monitoring). * MLOps tooling: experiment tracking, model registry, CI/CD, and pipeline orchestration (e.g., MLflow or equivalent patterns). Good\-to\-have (Business \+ Influence) * Strong business acumen and ability to connect disparate data points into compelling narratives that influence senior stakeholders. * Builder/MVP mindset—rapid prototyping and iterating based on stakeholder feedback while maintaining data quality and governance Note: This role values applied problem\-solving and business impact over purely academic specialization. You're The Right Fit If * Proven track record of owning end\-to\-end analytics domains, not just contributing to isolated analyses or consuming pre\-built reports. * 7–12\+ years in hands\-on Data Science / ML Engineering with multiple production deployments owned end\-to\-end. * Demonstrated ability to take solutions from experimentation → production (reproducible pipelines, deployment to managed endpoints/container platforms, monitoring \+ iterative improvement). * Strong GenAI delivery record: shipped RAG/MCP/fine\-tuned LLM applications with measurable quality controls, safety measures, and operational readiness. * Experience operating in complex, matrixed environments and partnering with senior stakeholders to drive insight\-led decision making * Hands\-on exposure to AI\-enabled analytics, including the use of GenAI tools (e.g., ChatGPT, Claude, or similar) to accelerate insight generation, analysis, or productivity. * Strong experience partnering with senior business stakeholders (BU leaders, Sales, Marketing, Finance), influencing decisions through insight\-led storytelling. Onsite roles require full\-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations. this role is an office role. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: T&T | Engineering | ADMM | Consultant | Azure Databricks | Bengaluru Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Deloitte’s Technology \& Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact\-driven decision\-making and generate an insight\-driven advantage. Our practice addresses the continuum of opportunities in business intelligence \& visualization, data management, performance management and next\-generation analytics and technologies, including big data, cloud, cognitive and machine learning. We are seeking highly skilled Azure Databricks Data Engineers to join our data modernization team. You will play a pivotal role in designing, developing, and maintaining robust data solutions on the Databricks platform. Your experience in data engineering, along with a deep understanding of technology and tools, will be instrumental in building solutions to drive data\-driven decision\-making across a variety of customers. * Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric). * Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g., Azure Data Lake Storage Gen 2 \& Azure Blob storage). * Experience in utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL). * Good Hands\-on in PowerApps, Power Automate, Power BI. * Knowledge of REST\-API, OAuth. * Collaborate with data architects and other stakeholders to understand data requirements and deliver high\-quality data solutions. * Optimize data pipelines in the Azure environment for performance, scalability, and reliability. * Collect, clean, and validate data from multiple sources to ensure accuracy and reliability. * Ensure data quality and integrity through data validation techniques and frameworks. * Monitor and troubleshoot data pipeline issues to ensure timely resolution. * Stay current with industry trends and emerging technologies to ensure our data solutions remain cutting\-edge. * Manage the CI/CD process for deploying and maintaining data solutions. * Good to have knowledge of any programming language like C\#, Java, JavaScript, Python etc. * Apply data cleansing, transformation, validation, and quality checks. * Ensure data accuracy, consistency, replication, and governance across platforms. * Strong knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage and Azure Data Lake Gen 2\. * Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL). * Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing). * Experience with Data Analysis tools. * Experience efficiently querying API endpoints as a data source. * Understanding of the Azure environment and related services such as subscriptions, resource groups, etc. * Understanding of Git workflows in software development. * Using Azure DevOps pipeline and repositories to deploy and maintain solutions. * Understanding of Ansible and how to use it in Azure DevOps pipelines. * 3\-5 years of proven experience as a Data Engineer or similar role dealing with data and ETL processes. * Experience working in regulated environments and with internal systems quality policies and procedures. * Experience in development and deployment of cloud infrastructure. * Strong SQL and Python skills for data transformation and analysis. * Design and implement data models, schemas, and performance\-optimized queries. * Ensure data quality, governance, and security in all solutions. * Deploy data solutions using Azure DevOps CI/CD pipelines. Work Location: Bengaluru, India Availability: Full time

Job Title: Data Scientist 2 Company: Epsilon Job Category: Machine Learning Roles & Responsibilities: Overview About Business Unit: The Automotive Practice at Epsilon is a rapidly growing team, driving growth for major players in the automotive industry \- from Original Equipment Manufacturers (OEMs) to dealerships across North America. Part of a 1,600\-member multinational team, the practice provides the automotive world’s largest service reminder platform, alongside agency services and digital media solutions. A leader in the automotive space, the team supports over 50% of auto dealerships in North America and maintains relationships with over 280 million customers. Home to innovation and ground breaking technology, our Auto team leads the game in developing outstanding software and solutions for hyper\-personalized digital marketing. Role Overview The Automotive Data Science team within Epsilon partners both internal and external clients and data providers, leverage predictive analytics and advanced modeling techniques to drive strategic thought and effective decision making. The core work charter includes supporting Retail and After Sales Service businesses for all the OEMs by developing solutions across the Customer Journey to drive Acquisition, Engagement, Retention using Advanced Analytics, Machine Learning, Deep Learning Capabilities and Data Platforms. The Data Scientist, II would support stakeholders by deploying projects from inception to insights and enable business strategy and impact for the clients. Contributes towards automation, process improvement and efficiency. Demonstrates innovative thinking, passion, and cross team collaboration. Establish strong working relationship with partners. Responsibilities * Apply AI, machine learning, and deep learning techniques including regression, classification, clustering, tree\-based algorithms, support vector machines, neural networks, recommender systems, and marketing attribution models to solve complex business problems. * Design and implement end\-to\-end MLOps pipelines covering data ingestion, training, validation, deployment, and monitoring. * Support the deployment, monitoring, and maintenance of machine learning models in production, tracking model performance, data quality, scalability, and model drift to ensure reliable and sustained business value. * Enhance existing analytical methodologies by identifying new data sources, engineering relevant features, experimenting with alternative algorithms, fine\-tuning hyperparameters, and improving model performance and business outcomes. * Define analytical and technical requirements for developing scalable data science capabilities, machine learning platforms, data pipelines, and reusable analytical solutions. * Translate complex analytical findings and model outputs into actionable business recommendations, presenting insights effectively to partners * Automate data science and machine learning workflows to improve operational efficiency, reproducibility, and scalability while collaborating with cross\-functional teams to deliver production\-ready solutions. Additional Information Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels. Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400\+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real\-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry\-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world. * People centricity: We focus on employee well\-being in an environment where colleagues truly care about each other. * Collaboration: We work together, support one another, and collectively achieve goals. * Growth: There are endless opportunities for growth through learning, development and career advancement. * Innovation: We drive progress through cutting\-edge solutions and forward\-thinking approaches. * Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Senior AI Engineer Company: Enormous Enterprise LLC Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities * Develop, train, evaluate, fine\-tune, and deploy Machine Learning and Deep Learning models. * Apply classification, regression, clustering, feature engineering, model selection, hyperparameter tuning, and model evaluation techniques. * Build AI applications using Python, Scikit\-learn, PyTorch, and/or TensorFlow. * Work with LLM architectures, embeddings, prompt engineering, context management, and LLM evaluation. * Develop RAG pipelines involving document processing, chunking, embeddings, retrieval, reranking, and vector databases. * Design and implement Agentic AI systems, including stateful workflows, multi\-step reasoning, tool calling, planning, routing, and orchestration. * Use LangGraph for agentic workflows and integrate AI agents with APIs, enterprise systems, databases, and external tools. * Apply the Model Context Protocol (MCP) in AI\-agent and tool\-integration workflows. * Build scalable AI services using REST APIs, FastAPI, microservices, and sound software engineering practices. * Support production deployment, monitoring, model versioning, and basic MLOps/LLMOps. * Work with Snowflake for data engineering, analytics, and AI workloads. * Follow responsible AI practices relating to privacy, security, compliance, bias, explainability, and model risk. Preferred Skills * LangGraph and multi\-agent orchestration. * Production\-grade GenAI application development. * Cloud platforms, particularly AWS. * Model deployment, monitoring, and LLMOps. * AI governance, responsible AI, privacy, security, and compliance. Work Location: Bengaluru, Karnataka, India Availability: Full time

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: 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: 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: 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