Job Title: Senior Data Engineer Company: Equifax Job Category: Machine Learning Roles & Responsibilities: Manage Preferences Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. Synopsis of the role Equifax is seeking a Senior Data Engineer to join our world\-class Entity Resolution/Keying \& Linking team within India Data \& Analytics. The ideal candidate is an analytical engineer who bridges the gap between software development and data science—possessing the programming skills to scrape, merge, and manage diverse data streams, alongside the statistical mindset to extract meaningful insights. You will combine technical execution with creative problem\-solving to build reliable data prototypes and uncover patterns within complex data. If you have a solid foundation in mathematics or statistics and a passion for data mining and machine learning, we want to hear from you. * Pipeline Engineering: Build and manage reliable data pipelines to aggregate, ingest, and process data from diverse source systems. * Data Integration \& Quality: Integrate, cleanse, and structure large datasets for analytical consumption and client solutions, implementing automated checks to troubleshoot data anomalies. * Model Support: Apply an understanding of data characteristics to develop tracking processes that support data quality and entity resolution models. * Cloud \& Infrastructure: Leverage and implement Google Cloud Platform (GCP) technologies, keeping up with cloud advancements to propose optimization improvements. * Data Governance: Implement data management, security, and maintenance best practices directly into pipeline workflows. * Global Teamwork: Collaborate actively with regional and global Equifax teams to share insights, standardize workflows, and adopt best practices. At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best. Work Location: Karnataka, India Availability: Full time
Job Title: Software Engineer, GenAI Engineering (AI/ML) Company: Pegasystems Job Category: Machine Learning Roles & Responsibilities: Pega is changing the way the world builds software. Our goal is to be the no. 1 CRM SaaS company in the world. In this role, you will design, build and deploy the GenAI services and AI agents behind Pega Infinity and the Pega AI Assistant. That includes agent tools and MCP integrations, retrieval\-augmented generation (RAG) and knowledge services, AI guardrails and governance, and agent observability. You'll lead features end to end, from problem framing to production, on cloud\-native services that run securely at enterprise scale on AWS, GCP and customer\-hosted environments. At Pega, we actively explore and embrace emerging AI capabilities with curiosity, responsibility, and a drive for meaningful innovation. You will work in an environment where AI enabled tools are used to enhance learning, improve engineering efficiency, and support better decision making across the cloud platform. We expect engineers to apply critical thinking to all AI generated outputs—validating accuracy, quality, and relevance before applying them in production environments. We view AI maturity as a spectrum, progressing from foundational adoption toward more strategic, advocacy driven integration, and you will play an active role in that journey. * Develop AI\-based applications and algorithms. * Design, test, and build software components for AI applications. * Collaborate with data scientists on algorithm development. * Create prototypes and proofs\-of\-concept for new ideas. * Create state\-of\-the\-art harness that powers Pega Agents * Lead model development, implementation and deployment end\-to\-end including. ML operations. You will be driving problem formulation, modeling approach, implementation, testing, deployment and monitoring. * Partner with product managers to drive productization of ideas into shippable solutions * Communicate effectively with technical and non\-technical audiences Who You Are: ---------------- * Gartner Analyst acclaimed technology leadership across our categories of products. * Continuous learning and development opportunities * An innovative, inclusive, agile, flexible, and fun work environment. * Competitive global benefits program inclusive of pay \+ bonus incentive, employee equity in the company. Pega embraces the responsible use of artificial intelligence (AI) to improve efficiency, consistency, and fairness across our business. We encourage thoughtful and ethical adoption of AI technologies that support people—not replace them. We may use AI‑enabled tools in our recruitment process. These tools are designed to assist us by providing insights and operational support. Work Location: Karnataka, India Availability: Full time
Job Title: Senior Staff AI Engineer Company: JazzX AI Job Category: Machine Learning Roles & Responsibilities: About the Role You will lead the design, development, and optimization of cutting\-edge RL solutions, from experimentation and simulation through production deployment. This includes building scalable training architectures, architecting multi\-agent and hierarchical RL frameworks, and ensuring that the RL systems are resilient, efficient, explainable and safe. As a senior technical leader, you will partner with cross\-functional teams—including product, core platform engineering, and research—to define architectural best practices, establish governance standards, and enable seamless integration of RL into our broader AGI platform. You will also drive innovation by exploring novel RL techniques, mentoring engineers and researchers, and ensuring the RL infrastructure can scale to support high\-throughput training and real\-world scenarios and enterprise use cases end to end. Key Responsibilities * Architecture \& Design: Define and drive the end\-to\-end architecture for reinforcement learning–based systems, including training pipelines, simulation environments, reward shaping, and model serving. * Research \& Development: Apply cutting\-edge RL techniques (policy optimization, model\-based RL, hierarchical RL, multi\-agent RL, etc) to solve complex enterprise problems. * Scalability \& Infrastructure: Design distributed training systems, leverage cloud\-native infrastructure, and optimize for performance, reproducibility, and cost\-efficiency. * Leadership \& Mentorship: Provide technical leadership to AI engineers and researchers; mentor junior team members; review designs and code with a focus on scalability, robustness, and clarity. * Collaboration: Partner with product, data, and platform teams to align RL solutions with strategic business goals and integrate them into production systems. * Evaluation \& Monitoring: Define frameworks for benchmarking, continuous evaluation, and feedback\-driven improvements in deployed RL models. * Compliance \& Safety: Ensure RL systems align with ethical AI practices, safety constraints, and regulatory standards for enterprises. If you're motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact. Work Location: Karnataka, India Availability: Full time
Job Title: Systems/Software Engr Company: Hewlett Packard Enterprise | HPE Job Category: Machine Learning Roles & Responsibilities: This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.Who We Are: Hewlett Packard Enterprise is the global edge\-to\-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: * Design and maintain intelligent monitoring and incident response workflows across cloud and on\-premises systems.* * Build and optimize data pipelines that collect, normalize, and enrich logs, metrics, and events for operational analytics.* * Develop and deploy predictive models to detect anomalies, forecast outages, and reduce mean time to resolution.* * Automate remediation runbooks and integrate alerting with service management platforms to improve reliability.* * Partner with DevOps, Site Reliability, and security teams to improve platform performance, availability, and operational governance.* * Python for automation, data processing, and operational tooling* * Observability platforms (for example, Splunk, Datadog, Prometheus, Grafana)* * Cloud platform operations (for example, Azure, AWS, or Google Cloud)* * Machine learning model lifecycle and deployment practices* * IT service management and workflow orchestration tools (for example, ServiceNow, PagerDuty, Rundeck)* Personal \& Professional Development We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Work Location: 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: AI/ML Developer Company: Infosys Job Category: Machine Learning Roles & Responsibilities: Design and deploy end\-to\-end ML and Generative AI pipelines on AWS using Amazon SageMaker and Amazon Bedrock. Build intelligent LLM\-powered agents and Agentic AI workflows using LangGraph and/or LangChain. Architect production\-ready RAG solutions, covering document ingestion, chunking, embeddings, metadata, vector indexing, retrieval and response generation. Develop and productionize ML models for use cases such as forecasting, recommendations, prediction and customer analytics. Integrate foundation models and LLM APIs including Amazon Bedrock and OpenAI into scalable enterprise applications. Engineer robust prompting, context\-management and tool\-calling/orchestration workflows for LLM applications. Implement LLM evaluation, grounding, hallucination mitigation and responsible\-AI guardrails. Build semantic and hybrid retrieval solutions with vector/search technologies such as FAISS, Pinecone and OpenSearch. Apply MLOps/LLMOps principles for model and application deployment, versioning, evaluation, monitoring and lifecycle management. Develop scalable Python\-based APIs and services to expose AI/ML capabilities to downstream applications. Collaborate with data engineers, architects, product teams and cloud/platform engineers to move AI solutions from prototype to production. The emphasis on RAG construction, evaluation, production agents, vector indexing and LangGraph/LangChain closely reflects recent Infosys internal AI engineering requiremen Work Location: Bengaluru East, Karnataka, India Availability: Full time
Job Title: Backend Software Engineer - AI/ML (m/f/d) Company: Crewmeister Job Category: Machine Learning Roles & Responsibilities: With over 20,000 customers, Crewmeister is one of the fastest\-growing workforce management software providers in Germany. Our success is driven by great products, strong teamwork, and people who are passionate about building exceptional software. As part of the ATOSS Group, we combine the agility and ownership of a scale\-up with the stability and resources of a leading software company. AI is transforming how software is built, and we're investing in engineers who can help shape that future. We believe the next generation of software development will combine strong engineering fundamentals with AI\-powered workflows, tools, and product capabilities. If you're excited about building scalable backend systems while pushing the boundaries of AI\-enabled product development, we'd love to hear from you. This role is designed for experienced software engineers whose foundation is in backend development, distributed systems, and cloud\-native applications. We are looking for engineers who have already gained hands\-on experience with AI\-powered applications, LLMs, AI agents, or retrieval\-based systems in a professional setting. However, this is not a machine learning research or AI specialist role. Your primary focus will be designing, building, and operating reliable, scalable, and observable services that enable AI\-powered functionality at enterprise scale. We operate in a hybrid work model with a minimum of 50% office attendance. To support onboarding, collaboration, and team integration, new team members are expected to work from our Bangalore office in Whitefield (ITPL) on a daily basis during their first six months. Following the onboarding period, the role transitions to our standard hybrid working model. Key Responsibilities ------------------------ * Design, build, and operate backend services and APIs that power AI\-driven and traditional product capabilities within the ATOSS platform. * Develop high\-quality production software using Java, and secondarily Python, with a strong focus on reliability, maintainability, and performance. * Own services end\-to\-end, from architecture and implementation through deployment, monitoring, and ongoing operations. * Integrate LLMs, AI agents, and retrieval\-based solutions into production applications. * Build and improve evaluation, monitoring, and observability capabilities for AI\-powered features. * Contribute to CI/CD pipelines, deployment automation, and engineering best practices. * Help ensure AI\-powered systems are scalable, secure, and production\-ready. * Troubleshoot complex production issues and drive continuous improvements in system reliability and performance. * Work closely with AI Engineers, Product Owners, and Cloud Operations teams to bring new capabilities into production. As part of Crewmeister's AI team in Bangalore, you'll work on the Cognitive Backend platform that powers AI\-driven capabilities across our products. The team sits at the intersection of AI Engineering and core platform development, ensuring AI\-powered features are delivered on reliable, observable, and scalable enterprise infrastructure. * Strong experience building backend applications with Java. * Strong experience designing, building, and operating APIs, services, and distributed systems in production environments. * Proficient Python skills for automation, integrations, and AI\-related development. * Hands\-on experience with cloud platforms such as Azure, AWS, or GCP, as well as modern CI/CD practices and containerized applications using Docker. * Strong understanding of monitoring, logging, and observability, with a focus on building reliable and maintainable systems. * Practical experience building, integrating, deploying, or operating AI\-powered applications, LLM\-based solutions, retrieval systems, agentic frameworks, or similar technologies in a professional environment. * Join one of Europe's fastest\-growing SaaS companies. * Help shape the future of AI\-enabled software development. * Work on meaningful products used by thousands of businesses. * Be part of a collaborative engineering culture focused on learning, ownership, and continuous improvement. Work Location: Karnataka, India Availability: Full time
Job Title: Principal Engineer -Data Engineering Company: Wells Fargo Job Category: Machine Learning Roles & Responsibilities: About this role: Wells Fargo is seeking a highly motivated Principal Engineer to design, architect, and lead Data Engineering initiatives within the HR Information Technology organization. This role requires a hands‑on technologist who can anchor critical initiatives to drive operational excellence and enhance employee and customer experience. The Principal Engineer will provide technical leadership across the design, development, and operationalization of Data and Generative AI solutions, while shaping the enterprise HR data strategy. This role will oversee the architecture and delivery of scalable, secure, and resilient data engineering solutions across the HR data ecosystem, enabling advanced analytics, AI‑driven insights, and next‑generation HR capabilities. The Principal Engineer will also act as a trusted advisor to senior leadership, influencing architecture decisions, solution design, and implementation strategies to ensure alignment with business objectives, enterprise standards, and long‑term technology strategy. In this role, you will: * Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups * Lead the strategy and resolution of highly complex and unique challenges requiring in\-depth evaluation across multiple areas or the enterprise, delivering solutions that are long\-term, large\-scale and require vision, creativity, innovation, advanced analytical and inductive thinking * Translate advanced technology experience, an in\-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions * Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions * Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization * Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership * 7\+ years of progressive engineering experience with sustained hands‑on expertise in architecture, system design, and end‑to‑end solution development. * 7\+ years of Data Engineering experience, with strong expertise in driving migration from legacy data platforms to cloud‑native, lakehouse‑based architectures * 3\+ Years of Hands\-on experience in transformation of legacy data framework to modern stack in private or public cloud. * Architect and implement modern data platforms using Azure Fabric (OneLake, Data Factory, Synapse, Real‑Time Analytics, Power BI integration). * Design and build data pipelines and platforms on GCP using services such as : BigQuery, Dataflow/Apache Beam, Pub/Sub, Dataproc/Spark, Cloud Storage, Cloud Composer/Airflow, Dataplex, Data Catalog * Deep expertise in SQL, Python, and distributed data processing frameworks (Spark, Beam) * Strong hands‑on background of developing large scale enterprise applications. * Experience with data modeling, ETL/ELT patterns, and Lakehouse architecture. * Hands on experience in building modernized applications using Microservice architecture. * Cloud\-native engineering experience — serverless, managed Spark, event\-driven architectures. * Familiarity with containerization (Docker, K8s) and workflow operators. * Knowledge of data governance platforms (Collibra, Alation, Purview). * Experience implementing lineage, observability, drift detection. * Drive innovation by introducing emerging AI technologies, frameworks, and best practices to improve decision‑making, automation, and predictive insights. * Strong background in AI, Machine Learning, GenAI, including retrieval systems, embeddings, chunking strategies, and agentic AI workflows. * Enterprise Technical Stewardship + Act as a Principal Engineer and strategic advisor to senior leadership, shaping technology decisions that impact multiple lines of business and the broader enterprise. + Define and evolve enterprise‑scale architectures for Data modernization ensuring alignment with security, risk, and regulatory requirements. * Hands‑On Leadership + Remain deeply hands‑on—designing, reviewing, and occasionally coding critical components to set a high engineering bar. + Lead by example in applying engineering rigor, automation, testing, performance optimization, and secure coding practices. * Influence \& Thought Leadership + Serve as a visible technical spokesperson internally and externally, presenting ideas, architectures, and innovation narratives with clarity and conviction. + Mentor senior engineers and architects, raising the overall technical maturity of the organization. + Foster a culture of engineering excellence, curiosity, and continuous learning. * Outside‑In Innovation + Continuously scan the external ecosystem to bring new ideas, technologies, and patterns into the enterprise in a pragmatic, value‑driven manner. + Challenge legacy thinking and advocate for simplification, modernization, and platform thinking. + Balance innovation with operational stability, risk management, and long‑term sustainability. * Data Engineering + Responsible for designing, developing, optimizing, and maintaining metadata‑driven, scalable, high‑performance data engineering frameworks that power critical data ecosystem in the HR space. + Define and execute the enterprise data engineering roadmap aligned to business priorities. + Mentor data engineering teams delivering scalable, secure, and high quality data solutions. + Partner with architecture, product, analytics, and risk teams to drive data driven decision making. + Track industry trends, evaluate relevant tools/platforms, and adapt the best practices, * AI / GenAI Enablement + Drive the strategy, adoption, and governance of AI and GenAI capabilities across HR initiatives. + Partner with product, data, risk, and security teams to ensure responsible, explainable, and scalable AI solutions. + Identify high‑value use cases and guide teams from proof‑of‑concept to production at scale. * Outcome‑Driven Execution + Measure success through business impact, not just technical delivery—improved time‑to‑market, developer productivity, system resilience, and customer outcomes. + Partner closely with stakeholders to ensure technology investments deliver durable, enterprise‑wide value. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance\-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements. Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Work Location: Karnataka, India Availability: Full time
Job Title: SymphonyAI - Senior Data Scientist Company: SymphonyAI Job Category: Machine Learning Roles & Responsibilities: About The Role As a Data Scientist at Symphony Industrial AI, you will be ideating and creating solutions for some of the most complex industrial problems utilizing our cutting\-edge AI/ML platform. By developing and blending some of the best\-in\-class AI/ML methods for multivariate time series data, images, semi\- and unstructured data including text, with core asset maintenance and process control systems, you will build new groundbreaking solutions that will fundamentally alter predictive maintenance and operational optimization. Key Responsibilities * Interact and collaborate with engineers, data scientists, domain experts, and product managers to identify and discover insights from customers to continually develop our products. * Directly interact with customers \& domain experts across industries to understand and help solve their business problems. * Become a master advocate and leader of Symphony Industrial AI's products. * Serve as a technical and subject matter expert for sales meetings and events. * Carry out exploratory analysis of industrial data. * Build and deploy predictive AI, generative AI and agentic AI solutions for industrial use cases. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Sr. AI Development Engineer Company: BMW TechWorks India Job Category: Machine Learning Roles & Responsibilities: Role Sr. AI Development Engineer * 8\-3 years of experience in Artificial Intelligence, Machine Learning, Data Science, or Software Engineering, with a strong focus on Generative AI solution development and deployment. * Proven experience designing, building, and deploying production\-grade Agentic AI applications and multi\-agent systems at enterprise scale. * Demonstrated success delivering end\-to\-end AI solutions, from ideation and architecture through deployment, monitoring, and continuous improvement. * Experience leading AI initiatives, collaborating with cross\-functional stakeholders, and mentoring engineering teams. * Strong experience implementing MLOps best practices, including model versioning, monitoring, observability, governance, and lifecycle management. * Experience managing and optimizing AI systems in production environments, ensuring scalability, reliability, security, and performance. * Familiarity with AI application monitoring, evaluation frameworks, and cost optimization strategies for cloud\-based AI workloads. Leadership \& Collaboration * Proven ability to lead technical design discussions and drive AI solution architecture decisions. * Experience mentoring junior engineers and fostering engineering excellence within teams. * Strong stakeholder management, communication, and presentation skills. * Ability to operate effectively in a fast\-paced, agile, and globally distributed engineering environment. * Business fluent in English (written and spoken). 2\+ years leading engineering teams or features. * Python \+ FastAPI expertise. * Experience with TensorFlow, PyTorch, LangChain, LangGraph, DSPy. * Experience in Langgraph, langchain, n8n etc. * RAG architecture implementation experience. * Cloud (AWS/Azure), Docker, and Kubernetes exposure. * Experience with n8n, MCP, and agent architectures. Work Location: Karnataka, India Availability: Full time
