Job Title: Applied Artificial Intelligence Data Scientist Company: HP Job Category: Machine Learning Roles & Responsibilities: This role will partner with Quality Program Managers (QPMs), Quality Engineers, Data Analysts, Service teams, Product teams, and Technology organizations to design, build, evaluate, and scale AI-powered solutions that improve product quality, customer experience, operational efficiency, and business decision-making. The ideal candidate combines strong technical expertise in Large Language Models (LLMs), Generative AI, Machine Learning, Predictive Analytics, and Data Science with an understanding of quality, reliability, service, and operational processes. Success in this role requires the ability to identify high-value business problems, translate them into scalable AI solutions, and drive measurable business outcomes. This position supports the Quality organization's vision of building AI-enabled capabilities that transform quality management from reactive monitoring to predictive quality intelligence. Key Responsibilities AI Solution Development * Design, build, and deploy AI-powered solutions leveraging Large Language Models (LLMs), Generative AI, Machine Learning, Predictive Analytics, and AI Agents. * Develop scalable AI solutions that automate quality analysis, issue detection, root-cause investigation, reporting, forecasting, and decision support. * Build intelligent copilots and AI assistants that improve productivity for quality engineers, analysts, and program managers. * Develop Retrieval-Augmented Generation (RAG) solutions leveraging quality documentation, knowledge repositories, and operational data. * Develop predictive models for quality risk detection, intervention forecasting, anomaly detection, reliability analysis, and failure prediction. * Create AI-driven early warning systems by integrating quality, service, telemetry, customer, warranty, and operational signals. * Identify quality trends, emerging risks, and performance drivers through advanced analytics and machine learning. * Support the organization's journey from reactive issue management to predictive quality management. * Analyze large-scale structured, semi-structured, and unstructured datasets to generate actionable insights. * Develop data pipelines, feature engineering frameworks, and analytical workflows supporting AI initiatives. * Consolidate data across multiple enterprise sources to create integrated quality intelligence platforms. * Build statistical models, forecasting solutions, and advanced analytics frameworks to support business planning and operational excellence. * Identify opportunities to automate manual quality processes through AI and intelligent automation. * Lead AI pilot programs and proof-of-concepts from ideation through deployment. * Establish reusable AI frameworks, templates, and best practices across the Quality organization. * Drive adoption of AI technologies through training, enablement, and stakeholder engagement. Collaboration & Leadership * Partner with Quality, Engineering, Services, ISX, Data & Analytics, and Business teams to define AI use cases and implementation roadmaps. * Translate business requirements into technical solutions and clearly communicate findings to both technical and non-technical audiences. * Present recommendations, insights, and business impact to senior leadership. * Promote responsible AI practices, governance, and ethical AI adoption. * 2-3 years of experience developing enterprise AI solutions. * Experience with Azure AI Services, Azure OpenAI, AI Foundry, Azure Machine Learning, AWS, or GCP. * Experience with: + Generative AI + Large Language Models (LLMs) + Retrieval-Augmented Generation (RAG) + Prompt Engineering + AI Agents and Multi-Agent Systems + Knowledge Graphs * Experience with Power BI, Fabric, Databricks, or large-scale analytics platforms. * Familiarity with MLOps, model monitoring, model deployment, and AI governance. * Experience in Quality Management, Reliability Engineering, Manufacturing Analytics, Customer Support Analytics, Warranty Analytics, or Service Operations. * Experience with Microsoft Copilot Studio, Power Platform, and enterprise automation platforms. * Delivers AI solutions that create measurable improvements in quality outcomes, productivity, and operational efficiency. * Builds predictive quality intelligence capabilities that enable earlier detection of risks and emerging issues. * Develops scalable AI copilots, analytics solutions, and intelligent automation capabilities adopted across the Quality organization. * Successfully translates business challenges into deployed AI solutions that drive business impact. * Accelerates AI adoption and enables teams to use AI as part of their daily workflows. * Establishes reusable AI frameworks, standards, and best practices that can scale across portfolios and regions. * Demonstrates strong ownership, innovation, and execution while collaborating effectively across organizations. Shift - No shift premium (India) Work Location: KA, India Availability: Full time
Job Title: Lead Data Scientist - AI Company: LSEG Job Category: Machine Learning Roles & Responsibilities: As an individual contributor Lead Data Scientist, you will drive the development of high-impact, scalable AI solutions, moving beyond prototypes to production systems. We are looking for lead applied data scientist with the proven ability to manage project timelines and deliver high-quality models and code that aligns with business goals. What You'll Be Doing This role combines hands-on technical leadership with strategic oversight in a high-impact environment focused on innovation and continuous development. * Develop and deploy production-level AI models using Gen AI capabilities like OpenAI, Gemini, etc and data-driven solutions that align with strategic business objectives. * Tune and optimize AI models to improve their accuracy, efficiency and overall fitness for purpose in various applications. * Evaluate third-party AI solutions on both functional and non-functional aspects, assessing their suitability based on performance, scalability, and business needs. * Establish and apply model evaluation and coding standards to maintain production grade code. * Work closely with business and engineering partners to define project requirements and direction, and establish development roadmaps. * Develop and deploy AI-powered document intelligence solutions to extract, structure, validate, and generate insights from complex financial documents, including regulatory filings, financial statements, earnings transcripts, research reports, and other unstructured content. * Design and optimize scalable retrieval and knowledge discovery frameworks using OCR, NLP, semantic search, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs) to enable accurate information extraction and analysis. * Working knowledge of DevOps practices, including code versioning, CI/CD pipelines, automated testing, and monitoring, to streamline development workflows and improve deployment reliability. We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take a hybrid approach to the workplace; this role is considered ‘digital first’, which requires attending the office at least one day per week while some teams and colleagues choose to collaborate in the office more frequently. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. We're proud to have been recognised as a Great Place to Work® in India ‘25 Career Stage: Manager LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Analyst - Data Scientist Machine Learning Company: United Airlines Job Category: Machine Learning Roles & Responsibilities: United Airlines' Digital Fleet Management department partners with Technical Operations leaders across the company to transform data and analytics into operational solutions. The team develops analytical products and data-driven insights that improve fleet performance and maintenance operations. This role requires strong analytical capability, product-development thinking, strategic problem solving, and effective relationships with internal and external partners. Role Overview The Analyst - Data Scientist will support both data analytics use cases and analytical product development. The role is responsible for work across the full lifecycle, including problem definition, data extraction and analysis, model development, productization, deployment, monitoring, and continuous improvement of production-grade analytical products and dashboards that support operational decisions. Job Responsibilities: * Design, develop, and deploy analytical products that apply data analysis, statistical modeling, machine learning, and optimization to business and operational problems. * Partner with business and technical stakeholders to translate data analytics use-cases into clear requirements, scalable solutions, and measurable outcomes * Own work from concept through execution, including data preparation, prototyping, validation, productization, documentation, monitoring, and continuous improvement * Analyze complex, high-volume data to identify patterns, generate actionable insights, and clearly communicate recommendations to technical and non-technical audiences Work Location: HR, India Availability: Full time
Job Title: AI Platforms Engineer Company: PepsiCo Job Category: Machine Learning Roles & Responsibilities: The AI Observability Engineer (Agentic Frameworks & AI Agent Operations Center Developer) builds and operationalizes agentic AI solutions using modern orchestration frameworks and contributes to an AI Agent Operations Center that enables safe, reliable, and observable agent behavior at scale. This role focuses on developing agent workflows (planning, tool execution, memory, and RAG), integrating guardrails and evaluations, and delivering operational capabilities such as run management, telemetry, and incident triage for production agents. Responsibilities: * AI Agent Operations Center (70%) + Build “operations center” capabilities for agent runtime management: agent registry, versioning, deployment tracking, and run histories + Enable operational workflows such as incident triage, replay/debug runs, trace correlation, and root-cause analysis across agent steps + Implement operational dashboards and views for agent health: success rate, latency, tool failure rate, cost per run, and loop detection + Instrument agent flows end-to-end using OpenTelemetry (or equivalent), enabling correlation across prompts, tool calls, retrieval, and responses + Implement semantic conventions and tagging standards (agent name/version, tool name, model provider, environment, tenant/app) + Partner with SRE/observability teams to ensure production-grade monitoring, alerting, and operational readiness * Collaboration with Teams (10%) + Collaborate with transformation teams and business stakeholders to understand requirements and tailor AI agents to specific domains. + Work closely with AI platform teams to build scalable and cross-domain AI agents while ensuring end-to-end observability. * Integration & Deployment (10%) + Build and maintain CI/CD pipelines for agent services and operations center components, including automated testing and deployment + Automate onboarding for new agent use cases (templates, scaffolding, configuration checks) + Drive best practices for secure, scalable, and cost-effective agent deployments * Continuous Learning (10%) + Stay updated with the latest advancements in AI and machine learning technologies and integrate these into existing or new AI agents. + Conduct thorough testing and validation to ensure the reliability and accuracy of AI agents and solutions. * Decision-Making Autonomy Moderate – Significant autonomy in the technical aspects of AI model development and implementation, working under the strategic direction provided by the Senior AI Solutions leads. * Supervision Required Moderate – Operates with general guidance from the Senior AI Solutions leads, with regular updates for alignment and support. * Complexity of Role High – The role requires managing complex AI/ML projects, working with large datasets, and ensuring successful integration with existing systems while maintaining scalability. * Cross-Functional Interactions Yes – Regular interaction with Data Science, Engineering, IT, digital products and business stakeholders to ensure effective AI solution Observability. Work Location: TS, India Availability: Full time
Job Title: AI/ML Engineer - Walk-in Company: JobBricks Job Category: Machine Learning Roles & Responsibilities: Company Description JobBricks is a talent platform focused on connecting ambitious professionals with organizations seeking exceptional skills. The company brings job seekers, employers, and career opportunities together in one place, enabling professionals to discover relevant roles and businesses to build strong, high-performing teams. JobBricks offers career opportunities across industries, along with hiring trends, career insights, and practical guidance on resumes and interviews. By making recruitment more efficient and transparent, JobBricks helps employers reach qualified talent while supporting professionals in advancing their careers. The organization is driven by the belief that the right opportunity can shape a career and the right talent can transform a business. Role Description The AI/ML Engineer (Walk-in) role at JobBricks is a full-time, on-site position based in Ahmedabad. The individual in this role will design, develop, and deploy machine learning models and AI solutions to support data-driven products and services. Typical responsibilities include collecting and preprocessing data, selecting appropriate algorithms, training and validating models, and optimizing performance for production environments. The AI/ML Engineer will collaborate with product, engineering, and business teams to translate requirements into technical solutions, implement scalable architectures, and document models and workflows. The role also involves continuous monitoring of model performance, researching emerging AI/ML techniques, and contributing to improvements in the overall data and analytics ecosystem. Work Location: Ahmedabad, Gujarat, India Availability: Full time
Job Title: Developer, Application Company: Flex LTD Job Category: Machine Learning Roles & Responsibilities: Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add Developer in Chennai, India. * Utilize AI-enabled analytics capabilities, including intelligent insights, automated reporting, predictive analysis, and generative AI tools, to improve decision-making and business outcomes. * Develop a strong understanding of both business processes and technical solutions, demonstrating end-to-end analytical capabilities across functional and technology domains. Work Location: Chennai, India Availability: Full time
Job Title: Artificial Intelligence Intern (Remote) Company: MediNex Workforce Job Category: Machine Learning Roles & Responsibilities: Role Overview: We are hiring an Artificial Intelligence Intern for a 1 to 3-month full-time remote role. This position involves developing and evaluating AI/ML models, testing prompt workflows, experimenting with modern AI frameworks, and supporting intelligent automation across functional processes. Key Responsibilities: Work Location: India Availability: Full time
Job Title: T&T | Engineering | Manager | Informatica Master Data Management (MDM) | Bengaluru Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: T&T | Engineering | Manager | Informatica Master Data Management (MDM) | Bengaluru 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. * Strong hands-on experience with Informatica MDM Hub (Multidomain) Experience working on end-to-end MDM lifecycle (landing staging BO match merge* publish)Base Objects, Staging Tables, Landing Tables * Match & Merge (deterministic + probabilistic) * Trust & Validation rules * Experience with Hierarchy Manager (HM) and relationships * Hands-on experience with Informatica Data Director (IDD) configuration * Ability to design and implement data models for Customer/Product domains * Experience with batch jobs, load processes, and Hub Console configurations * Strong SQL skills for data validation, reconciliation, and debugging * Experience with SIF APIs / basic REST APIs for integration * Exposure to IDMC (CDI / Cloud MDM basics) * Ability to debug data load issues, match issues, and survivorship problems * Informatica IDMC / IICS * CDI, CAI, CDQ, MDM SaaS (Business 360, Customer 360) * ETL/ELT development, data pipelines, and data modelling * SQL, APIs, and scripting (Python/Shell) * Cloud platforms: AWS, Azure, or GCP * Data governance, metadata, and data lineage concepts * CI/CD, version control (Git), and DevOps practices * 8+ years in Data Engineering / Integration / MDM * 4–6+ years of hands-on IDMC experience * Proven experience in enterprise-scale data integration and cloud transformation projects * Strong analytical and problem-solving ability * Excellent Communication and stakeholder management * Leadership and mentoring capabilities Work Location: KA, India Availability: Full time
Job Title: Data Scientist Company: Hanumant Technology Pvt. Ltd. Job Category: Machine Learning Roles & Responsibilities: Job Description – Data Science This is a full-time job opportunity, not a training course. The role and responsibilities will depend on the candidate’s skills and experience. Work Location: In person Work Location: Lucknow, India Availability: Full time
Job Title: Manager, Engineering, Data Science and Machine Learning Company: Morningstar Job Category: Machine Learning Roles & Responsibilities: As an Engineering Manager, AI & ML (Data Collection), you will play a vital role in executing the company’s AI and machine learning initiatives with a strong focus on data collection technologies. This position will require deep technical expertise in unstructured data processing, data collection pipeline engineering, and a hands-on approach to managing and mentoring engineers. Your leadership will ensure that AI & ML data collection systems are developed and operationalized at the highest standards of performance, reliability, and security. You will be working closely with individual contributors, ensuring that projects align with broader business goals and AI/ML strategies. This role requires deep engagement in the design, development, and maintenance of AI & ML models, solutions, architecture, and services. You will need to provide strong technical direction, problem-solve complex technical challenges, and ensure that the team consistently delivers high-quality, scalable solutions. You will leverage your deep knowledge in areas such as advanced natural language processing (NLP), generative AI (GenAI) and large language models (LLMs), ML Operations (MLOps), data architecture, data pipelines, and cloud-managed services. Your leadership will ensure that our AI/ML systems align with global business strategies, maintaining seamless integration and high-performance standards. You will oversee the end-to-end lifecycle of AI/ML data systems—from research and development to deployment and operationalization. You will be responsible for mentoring team members, resolving technical challenges, and fostering a culture of innovation and collaboration while ensuring they have the right tools, frameworks, and guidance to succeed. This role offers a unique opportunity to drive impactful change in a fast-paced, dynamic environment, where your efforts will directly contribute to the success of our AI/ML initiatives globally. Your ability to collaborate with cross-departmental stakeholders, provide leadership across locations, set high standards for the team, and hire, train, and retain exceptional talent is foundational to your success. You will solicit feedback, engage others with empathy, inspire creative thinking, and help foster a culture of belonging, teamwork, and purpose. You will lead a multidisciplinary team of engineers and data scientists responsible for building AI & ML solutions and services as part of robust data collection pipelines handling large volumes of unstructured data. Your team will focus on building scalable and reliable systems to process and categorize data that is essential for downstream data collection processing. Outline of Duties and Responsibilities ========================================== * AI & ML Data Collection Leadership : Drive the execution of AI & ML initiatives related to data collection, ensuring that the team’s efforts are aligned with overall business goals and strategies. * Technical Oversight : Provide hands-on technical leadership in the engineering of ML models and services, focusing on unstructured data, NLP, and classifiers. Oversee and contribute to the implementation of scalable solutions that meet high standards of reliability and efficiency. * Team Leadership & Development : Lead, mentor, and develop a high-performing team of engineers and data scientists, fostering a culture of innovation and continuous improvement. Ensure effective communication and coordination within your team and across geographically dispersed teams. * NLP Technologies : Contribute to the development and application of NLP techniques, including classifiers, transformers, LLMs, and other methodologies, to efficiently process and categorize unstructured data. Ensure these models are integrated seamlessly into the broader AI/ML infrastructure. * Data Pipeline Engineering : Design, develop, and maintain advanced data collection pipelines, utilizing orchestration, messaging, database, and data platform technologies. Ensure pipelines are optimized for scalability, performance, and reliability. * Cross-functional Collaboration : Work closely with other AI/ML teams, data collection engineering teams, product management, and others to ensure data collection efforts support broader AI/ML goals and product objectives. * Innovation & Continuous Improvement : Continuously explore and implement new technologies and methodologies to enhance the efficiency and accuracy of data collection and processing systems. Stay at the forefront of advancements in NLP and data processing. * System Integrity & Security : Ensure that all data collection systems meet the highest standards of integrity, security, and compliance. Implement best practices for data governance and model transparency. * Talent Acquisition & Retention : Play an active role in recruiting, training, and retaining top engineering talent. Foster an environment where team members are encouraged to innovate, feel valued, and achieve their full potential. * Process Improvement : Apply Agile, Lean, and Fast-Flow principles to improve team efficiency and the delivery of high-quality data collection solutions. * Support Company Vision and Values : Model and promote behaviors that align with the company’s vision and values. Participate actively in company-wide initiatives and projects as required. Work Location: Mumbai, India Availability: Full time
