Job Title: Applied Scientist II, Amazon Music Company: Amazon Music Job Category: Machine Learning Roles & Responsibilities: This role is ideal for someone early in their career who enjoys working in collaborative, multidisciplinary teams and is excited by the opportunity to learn, innovate, and deliver measurable impact to customers. Key job responsibilities * Collaborate with scientists, engineers, and product managers to define and frame business problems as ML or optimization tasks. * Build, train, and evaluate models using large, complex datasets. * Implement scalable data pipelines and model\-serving systems. * Analyze experimental results, draw insights, and refine models to improve accuracy and robustness. * Communicate findings and recommendations to technical and non\-technical audiences. * Continuously learn and apply new algorithms and techniques to improve existing systems. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Associate Deployment Engineer - Galaxy Graduate Program Company: Celonis Job Category: Machine Learning Roles & Responsibilities: Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team Celonis makes processes work for people, companies, and the planet. As the Celonis Services organization, we are the strategic implementation consulting \& transformation arm of a unified Customer Organization aligned to four core mandates: We deliver production\-ready Celonis Platform implementations that drive measurable top, bottom, and green\-line impact. Moving beyond “point\-in\-time” analysis, we utilize a Discover\-and\-Build approach to solve the world's most complex operational challenges. We don't just implement AI for our customers; we live it. Our project delivery lifecycle is accelerated by state\-of\-the\-art AI augmentation , allowing our consultants to focus on high\-level, strategic problem\-solving. By serving as the eyes and ears in the field, we maintain a continuous innovation loop with our Product \& Engineering teams, ensuring our frontline learnings directly shape the future of the Celonis Platform. The Role As an Associate Deployment Engineer within the Galaxy Graduate Program , you will support the end\-to\-end Discover\-and\-Build journey for our global customers. The Galaxy program unites Celonauts across different locations into one dedicated onboarding program which develops recent graduates into well rounded, skilled Services professionals in 12 months. As part of a consulting team, collaborating with more experienced consultants, you will bridge the gap between complex data landscapes and strategic business value. This role is designed for high\-potential university graduates who possess a Business\-Critical Mindset and the ability to understand how technical solutions can impact customer operations and improve efficiency, resulting in platform adoption and long\-term ROI for our customers. * Support Strategic Implementations: Support the implementation of Celonis Platform as a business\-critical tool by connecting customer data to actionable strategic outcomes. * Execute Discover\-and\-Build: As part of a project team, participate in process mining discovery activities, data transformation (SQL/Python), and the creation of AI\-driven analyses to identify execution gaps. * AI\-Forward Solutioning: Leverage your technical background to build and deploy AI\-forward solutions, utilizing Machine Learning and LLM integrations for our most strategic customers. * Stakeholder Engagement: Actively participate in discovery and requirement workshops, practicing a consulting mindset to communicate technical findings to business stakeholders and continue building the solution with a strong customer centric mindset. * Operational Excellence: Contribute to project speed and efficiency by maintaining high\-quality documentation and ensuring Built\-in Quality Control in every line of code or analysis produced. * Cross team collaboration: Have the opportunity to collaborate with various teams within the Celonis organization, including but not limited to: + Business Analytics, Academy and Global Programs + Business Apps \& Product and Engineering + Solution Architecture \& Celonis Support What Celonis can offer you: * Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI\-driven business operations. * Ownership from Day 1: Every full\-time Celonaut is an owner, receiving Restricted Stock Units (RSUs) and merit\-based refresh grants. * Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. * Work\-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. * Continuous Growth: Elevate your skills through our 70\-20\-10 learning framework, mentorship programs, and access to a dedicated learning platform. * Holistic Well\-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated Wellness Weeks that prioritize work/life balance. * Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. * Global Inclusion \& Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. * Value\-Driven Impact: Join a mission\-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI\-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand — turning AI’s operational blind spots into operational clarity. Industry\-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Use of Artificial Intelligence Tools We rely on an artificial intelligence tool to match the information from your resume to the relevant Celonis job descriptions. This processing is limited to the information provided in your resume or in your candidate profile. The tool produces a match score per candidate for a role, suggests preliminary ranking, and provides recommendations. The tool is only used for support in parts of the job application process, including to facilitate the identification of the relevant Celonis Jobs for candidates and recruiters. All final decisions are made by hiring managers and the Celonis talent acquisition team. Hiring managers and HR specialists use this tool responsibly, are aware of the risk of potential bias, and are equipped to mitigate it. Work Location: Greater Bengaluru Area Availability: Full time
Job Title: T&T-EAID-Senior Consultant -ETL Testing-Bengaluru-Engineering - Quality Engineering 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. Key Responsibilities * Design and implement automated test frameworks for ETL / ELT pipelines. * Validate source\-to\-target data reconciliation, transformation logic, and business rules. * Develop automated test scripts for data completeness, accuracy, timeliness, and integrity checks. * Perform database, file, and API level testing across structured and semi\-structured data. * Create reusable automation components for row counts, checksum validation, null checks, and referential integrity. * Execute regression, integration, and system testing for data pipelines. * Analyze test failures, identify root causes, and work closely with data engineers to resolve issues. * Validate incremental loads, CDC logic, and historical data migrations. * Integrate automation tests with CI/CD pipelines. * Prepare test plans, test cases, defect reports, and execution summaries. Work Location: Karnataka, India Availability: Full time
Job Title: Applied Scientist II, Risk and Compliance Solutions (RCS) Company: Amazon Science Job Category: Machine Learning Roles & Responsibilities: You own problems from formulation to production: framing the science question with Compliance and 1LoD partners, designing experiments and backtests, building and validating models, and shipping them into the pipelines, reports, and tools that RCS teams use. The stack includes Amazon SageMaker, Amazon Bedrock, Amazon Redshift, and AWS Lambda, and your partners include data scientists, data engineers, business intelligence engineers, and software development engineers across RCS. Key job responsibilities * Formulate ambiguous compliance problems as ML and GenAI problems with Compliance and 1LoD partners, and choose methods that fit the data, the risk, and the audit standard * Develop risk models that learn from rare, delayed, and noisy labels to score which risks and control weaknesses convert to breaches, and calibrate them so a score carries a defensible meaning * Build GenAI systems that remove manual effort from requirement translation, control testing, and regulatory reporting, with human approval gates at every stage * Design the evaluation for every ML and GenAI system you ship: golden sets that compliance experts label, metrics suited to rare outcomes and generated text, and release criteria a system meets before Compliance relies on it * Deploy and monitor models in production with software development engineers, including drift detection, performance tracking against realized outcomes, and retraining criteria * Explain model decisions, quantify uncertainty, and document methodology so Compliance Officers, auditors, and examiners can trace how a system reached each output * Create reusable science components, such as feature sets, scoring services, and evaluation harnesses, so an approach that works in financial crime compliance extends to the next domain without a rebuild * Review peer models for statistical soundness, mentor data scientists and engineers on ML methods and experimental design, and publish or patent where the work and confidentiality allow About The Team Risk and Compliance Solutions (RCS) serves as a crucial safeguard for Amazon's buyers, brands, and selling partners while ensuring business teams meet their regulatory obligations. RCS operates as the second line of defense under the Three Lines of Defense (3LoD) model, providing specialized oversight, monitoring, and expertise while setting policies and procedures that guide Amazon's compliance framework. * Streamlined license acquisition that enables Amazon's financial services expansion * Management of existing business risks across the organization * Comprehensive governance, risk, and assurance services * Innovative solutions such as Compliance as a Service (CaaS) * A proactive, intelligence\-led framework for compliance operations Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Data and AI Engineer Company: Google Job Category: Machine Learning Roles & Responsibilities: As a Strategic Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and modernization projects, and with customers to design large\-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges. You will have an in\-depth understanding of data governance and security controls. You will 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 teams to build and constantly drive excellence in our products. 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 -------------------- * Interact with stakeholders to translate complex customer requirements into recommendations for appropriate solution architectures and advisory services. * Engage with technical leads, and partners to lead high velocity migration and modernisation to Google Cloud Platform (GCP). * Design, migrate/build and operationalise data storage and processing infrastructure using Cloud native products. * Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data. * Take various project requirements and organize them into clear goals and objectives, and create a work breakdown structure to manage internal and external 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: Telangana, India Availability: Full time
Job Title: Early Professional, Digital Solutions Company: WSP in India Job Category: Machine Learning Roles & Responsibilities: Job Description We are seeking a highly motivated and talented Junior AI Developer with 1\-2 years of expertise in Generative AI. The ideal candidate will possess hands\-on experience in building Generative AI solutions using Azure, demonstrable knowledge of Agent AI, and a comprehensive understanding of open\-source LLMs. Proficiency in Natural Language Processing (NLP), document extraction, and knowledge management techniques is essential. Additionally, experience with commercial LLM models such as GPT within the Azure AI Foundry is required. Responsibilities * Develop and implement Generative AI solutions using Azure platforms. * Collaborate with cross\-functional teams to design, develop, and deploy AI models. * Work on Agent AI projects, ensuring the integration and optimization of AI agents. * Utilize commercial LLMs such as GPT within Azure AI Foundry for various AI applications and projects. * Apply NLP techniques to process and analyze large datasets. * Implement document extraction techniques for data processing and management. * Leverage knowledge management techniques to enhance AI models and solutions. * Participate in code reviews, provide feedback, and ensure best practices in AI development. * Stay updated with the latest advancements in AI, Generative AI, NLP, and related technologies. About Us WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation \& Infrastructure, Property \& Buildings, Earth \& Environment, Power \& Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come. * Maximize collaboration. * Maintain product quality and cultural integrity. * Balance community, collaboration, opportunity, productivity, and efficiency. Apply today. NOTICE TO THIRD PARTY AGENCIES: WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service. Work Location: Noida, Uttar Pradesh, India Availability: Full time
Job Title: Machine Learning-AI and Data Science Engineer III Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Level: AI and Data Science Engineer III As an experienced AI and Data Science Engineer III at Deloitte Consulting, you will design, develop, and deploy enterprise\-scale software solutions, lead the creation of robust pipelines and manage code deployment across environments. You will collaborate with cross\-functional, global teams to translate functional requirements into effective deliverables, independently guiding and mentoring junior team members. Your role spans the full project lifecycle, including estimation, planning, execution, and tracking key metrics for analysis, ensuring high\-quality and timely delivery of solutions. Work you’ll do: Lead discussions with business and functional analysts to understand requirements and assess integration impacts on business architecture. Prepare technical architecture and design, clarify requirements, and resolve ambiguities. Develop solutions in line with established technical designs, integration standards, and quality processes. Create and enforce technical design and development guides, templates, and standards. Facilitate daily scrum meetings, manage deliverables, and prepare weekly status reports for leadership review. Conduct detailed deliverable reviews and provide technical guidance to team members. Collaborate with onsite clients, coordinators, analysts, and cross\-functional teams. Design templates or scripts to automate routine development or operational tasks. The team: AI \& Data offers a full spectrum of solutions for designing, developing, and operating cutting\-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively. * Design and modernize large\-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing * Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions * Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As\-a\-Service models to ensure continuous insights and enhancements. \#FY27ReferralCampaign \#2027\AI\&E\Dscreen \#AI\&DATAROLESAUGUST29 \#AID2026 Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state\-of\-the\-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Work Location: Pune Division, Maharashtra, India Availability: Full time
Job Title: Machine Learning Engineer | SDE - 1 Company: Fynd Job Category: Machine Learning Roles & Responsibilities: Today, Fynd builds intelligent software that runs business operations. Not tools that help people work faster, but systems that absorb entire functions: manufacturing, marketing, logistics, commerce, quality control. We sit inside our customers’ businesses, harvest deep domain context, and build AI systems that operate autonomously. We are expanding from retail into manufacturing, generative media, physical AI, and healthcare. Role Overview: As an ML Engineer SDE\-1, you will help build and improve deep learning solutions that power intelligent product experiences and business decisions. You will work closely with engineering teams to develop, train, and deploy scalable machine learning models, with a strong focus on PyTorch\-based development and production\-grade software engineering. What will you do at Fynd?* Develop, train, and evaluate machine learning and deep learning models using PyTorch * Collaborate with software engineers and data teams to translate business problems into ML solutions * Write clean, maintainable, and testable code for model training, inference, and experimentation * Assist in preparing, validating, and preprocessing data for model development * Support model deployment, monitoring, and iterative improvement in production environments * Analyze model performance metrics and troubleshoot issues to improve accuracy and reliability * Document experiments, model behavior, and technical findings for internal stakeholders * Stay current with emerging machine learning techniques and apply best practices to ongoing work What do we offer? Growth At Fynd, growth is limitless. We nurture a culture that encourages innovation, embraces challenges, and supports continuous learning. As we expand into new product lines and global markets, we’re seeking talented individuals eager to grow with us. We believe in empowering our people to take ownership, lead with confidence, and shape their careers.* Learning Wallet: Enrol in external courses or certifications to upskill—we’ll reimburse the costs to support your development. Work Location: Mumbai, India Availability: Full time
Job Title: Early Professional, Digital Solutions Company: WSP Job Category: Machine Learning Roles & Responsibilities: * Develop and implement Generative AI solutions using Azure platforms. * Collaborate with cross\-functional teams to design, develop, and deploy AI models. * Work on Agent AI projects, ensuring the integration and optimization of AI agents. * Utilize commercial LLMs such as GPT within Azure AI Foundry for various AI applications and projects. * Apply NLP techniques to process and analyze large datasets. * Implement document extraction techniques for data processing and management. * Leverage knowledge management techniques to enhance AI models and solutions. * Participate in code reviews, provide feedback, and ensure best practices in AI development. * Stay updated with the latest advancements in AI, Generative AI, NLP, and related technologies. WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation \& Infrastructure, Property \& Buildings, Earth \& Environment, Power \& Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come. * Maximize collaboration. * Maintain product quality and cultural integrity. Balance community, collaboration, opportunity, productivity, and efficiency. * WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service. Work Location: Noida, India Availability: Full time
Job Title: Senior Data Scientist Company: Cognite Job Category: Machine Learning Roles & Responsibilities: About The Role As a Senior Data Scientist at Cognite, you will work on challenging data problems with leaders in the industry. You will be a part of cross\-functional teams that include data engineers, solution architects, and project managers. Together, your focus will be on configuring, deploying, and operationalising digital solutions in sectors such as Oil \& Gas, Power \& Utilities, and Manufacturing. Additionally, you will engage with clients to understand their desired outcomes, lead discovery workshops, and provide insights on potential strategies and obstacles. The data science team is a part of the MENA delivery team in our global delivery organisation. We are a good mix of project managers, data scientists, data engineers and solution architects with domain expertise from oil and gas, power \& utilities and manufacturing. We are responsible for delivering successful projects that are flexible and scalable and foster adoption of our product. In sum, we derive valuable insights from previously hidden data, enabling workers and leaders to transform how heavy asset industries operate to become more efficient and sustainable. A typical day as a Cogniter will contain the following tasks \& responsibilities: * Develop and deploy scalable solutions for customer use cases from Oil and Gas, Manufacturing and Power \& Utilities industries using Cognite’s core capabilities * Participate in and contribute to intensive use case generation workshops with subject matter experts to understand the problem and how it maps to the data * Perform data cleansing, exploratory data analysis and data modelling. * Implement physical models / machine learning models in Python and deploy to our model hosting environment * Work on an agentic AI solution to solve customers' use cases. * Utilize and contribute to solution templates and best practices within the Data Science team * Collaborate with data engineers, project managers and solution architects on project deliveries to enable our customers to achieve the full potential of our industrial dataops platform * Support customers and partners in conducting data science tasks with Cognite products Work Location: Bengaluru, Karnataka, India Availability: Full time
