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You Lead the Way. We’ve Got Your Back. At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Business Overview: International Card Services (ICS) is the leading provider of Credit Cards, Business Financing, T&E Solutions, Supplier Payments, and Cross-Border Payments that help consumer, small, mid-size, and large corporations around the world manage nearly every facet of their business spending. International Card Services Centre of Excellence (ICS COE) within ICS has the mission to unlock growth and enable ICS to be the fastest growing segment within American Express. Analytics & Strategic Insights Marketing Analytics team sits within ICS COE and is the analytical engine that enables business growth across international markets. This is an outstanding opportunity in a high visibility role that will work very closely with marketing and sales teams within ICS COE and across international markets to provide meaningful analytics and actionable insights to help drive prospect acquisition frameworks to deliver acquisition growth and efficiency. Job Responsibilities: Expand shop offer personalization and anti-gaming strategy for international. Lead the key workstreams outlined below: Work with stakeholders within COE and EDDS to enable offer personalization and anti-gaming capabilities for lead 8 markets across both consumer & SBS Lead the decision science roadmap and work with the CFR decision science team to enable & enhance ML models for offer personalization and anti-gaming Work with the marketing teams in markets to design offer personalization campaigns or anti-gaming controls. Enable these strategies post alignment with market Work with finance team to include offer personalization as a separate category in acquisition marketing plan which will help drive its adoption and scale for ICS Strengthen Governance Controls for Personalization Capability Drive execution of the analytics roadmap – resolve issues, identify opportunities, and define success metrics and make things happen. Drive automation and ongoing refinement of analytical frameworks Qualifications: MBA or a master’s degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science or Economics) 0-3 years of relevant work experience in analytics supporting either risk, marketing, or digital product functions Strong technical and analytical skills with ability to apply quantitative methods and business skills to drive business results Demonstrated ability to work independently and across a matrix organization partnering with business partners, functional owners, capabilities, technology teams and external vendors Strong programming skills are preferred. Experience with Big Data programming is a plus We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibility: Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field Experience in Data analysis, Data reasoning, Data Science, or a similar role Programming skills in SQL, Snowflake, Python with experience in pandas, numpy Good understanding of logical reasoning, mathematical and statistical concepts Proven excellent problem-solving and analytical thinking skills Solid communication and collaboration skills to work effectively in a team environment Preferred Qualifications: Experience with the deep data analysis, understanding data and ability to generate insights, full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis Familiarity with the US Healthcare domain Familiarity with cloud technologies At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Introduction to team : Our Supply and Market Place division is sourcing the best possible inventory and content from our partners, generating the best prices and customer experience, and ensuring our supply is transacted fairly across our marketplace. This division builds innovative products, services, and tools to deliver high-quality experiences for partners and travellers both. The goal of Supply Coaching Foundation org is to delight partners by connecting them to the right travellers. We’ll do that by building an adaptive experience that provides data and ML driven opportunities to our partners to help them grow their business. As part of Scout team we computes, organizes and streams the recommended actions for EG's supply partners with the ultimate goal of maximizing the returns for their time investment on Expedia Marketplace. Plus we also tracks partner's reactions to these recommendations to continuously learn & evolve. Our team works very closely with Machine Learning Scientists in a fast-paced Agile environment to create and productionize algorithms that directly impacts the partners of Expedia In this role, you will: Work in a cross-functional geographically distributed team of Machine Learning engineers and ML Scientists to design and code large scale batch and real-time pipelines on the Cloud. Prototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision of the team Act as a point of contact for junior team members, offering advice and direction Actively participate in all phases of the end-to-end ML model lifecycle (includes feature engineering, model training, model scoring, model validation) for enterprise applications projects to tackle sophisticated business problems in production environments Collaborate with global team of data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems. Participate in code reviews to assess overall code quality and flexibility. Define, develop and maintain artifacts like technical design or partner documentation Maintain, monitor, support and improve our solutions and systems with a focus on service excellence Experience and qualifications: Degree in software engineering, computer science, informatics or a similar field Experience: 5+ years if Bachelors, 3+ year if you are Masters Comfortable programming in Python(Primary) and Scala(Secondary). Hands-on experience with OOAD, design patterns, SQL and NoSQL Must Have experience in big data technologies, in particular Spark , Hive, Hue and Databricks Experience in developing and deploying Batch and Real Time Inferencing applications. You have a good understanding of machine learning pipelines and ML Lifecycle. Familiarity of basics with both traditional ML and Gen-AI algorithms and tools Experience of using cloud services (e.g. AWS) Experience with workflow orchestration tools (e.g. Airflow) Passionate about learning, especially in the areas of micro-services, system architecture, Data Science and Machine Learning. Experience working with Agile/Scrum methodologies Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Company Description Optimum Data Analytics is a strategic technology partner delivering reliable turn key AI solutions. Our streamlined approach to development ensures high-quality results and client satisfaction. We bring experience and clarity to organizations, powering every human decision with analytics & AI Our team consists of statisticians, computer science engineers, data scientists, and product managers. With expertise, flexibility, and cultural alignment, we understand the business, analytics, and data management imperatives of your organization. Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter. We provide best-in-class services that increase profit for businesses and deliver improved value for customers, helping businesses grow, transform, and achieve their objectives. Job Details Position : ML Engineer Experience : 6-8 years Location : Pune/Indore office Work Mode : Onsite Notice Period : Immediate Joiner – 15 days Job Summary We are looking for highly motivated and experienced Machine Learning Engineers to join our advanced analytics and AI team. The ideal candidates will have strong proficiency in building, training, and deploying machine learning models at scale using modern ML tools and frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging Face Transformers is highly desirable. Key Responsibilities Design, develop, and deploy machine learning models for real-world applications. Implement and optimize end-to-end ML pipelines using PySpark and MLflow. Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries. Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch. Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT, Hugging Face Transformers, etc. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Monitor model performance and continuously improve model accuracy and reliability. Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills Strong programming experience in Python. Solid understanding of machine learning algorithms, model development, and evaluation techniques. Experience with PySpark for large-scale data processing. Proficient with MLflow for tracking experiments and model lifecycle management. Hands-on experience with Pandas, NumPy, and Scikit-learn. Familiarity or hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers). Understanding of MLOps principles and deployment best practices. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. Strong analytical and problem-solving abilities. Excellent communication and teamwork skills. Skills: panda,mlflow,large language models,python,mlops,pytorch,pandas,scikit-learn.,tensorflow,pyspark,scikit-learn,numpy,llms,mlfow,machine learning

🤖 Data Science Intern Remote | Real Projects, Real Skills, Real Impact 📍 Location: Remote / Virtual 💼 Type: Internship (Unpaid) 🎁 Perks: Certificate after Completion || Letter of Recommendation (6 Months) 🕒 Schedule: Flexible (5–7 hours/week) Are you passionate about data, AI, and problem-solving? Join Skillfied Mentor and step into the world of data science with real projects, hands-on mentoring, and practical tools. This virtual internship is designed for students and fresh graduates who want to build real experience working on machine learning models , data pipelines , and predictive analytics . 🔧 What You’ll Do: Clean and prepare data for analysis and modeling Build and train basic machine learning models using Python Work on tools like Pandas, NumPy, Scikit-Learn, Jupyter Present findings in visual formats using Matplotlib Collaborate with peers and mentors during project reviews 🎓 What You’ll Gain: ✅ Full Python Course included during internship ✅ Hands-on experience with real-world ML and DS projects ✅ Internship Certificate + LOR (6 Months) ✅ Projects that enhance your resume and portfolio ✅ Work with tools & libraries used in the industry ✅ Fully remote – manage your schedule (5–7 hrs/week) 🗓️ Application Deadline: 5th August 2025 👉 Apply now and launch your Data Science journey with Skillfied Mentor!

DESCRIPTION As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. It’s truly Day 1 for our team in AWS. This is your opportunity to be a member of a team that’s building a suite of AWS Apps and Services to tackle a huge new problem space. You’ll be an integral part of testing to test the app build by services services that leverage AWS technologies like SageMaker, Forecast, Athena, QuickSight, Glue, Bedrock, ML and more. As an QA member of the team, you’ll wear many hats. You’ll help design the overall test strategy, test plan, contribute to the product vision, and establish the technology processes and practices that will lay the groundwork for the organization as it grows. An ideal candidate is an experienced Software QA Engineer with a development and/or QA background who can direct the activities of a growing team. The successful candidate should be able to apply QA process, practice and principles to software development and release processes, should apply their experience with a variety of software QA tools to accomplish these processes, as well as to describe requirements for new scripts, tools and automation needed by their team. Responsibilities include defining test strategy and test plans, reviewing them with stakeholders, improving test coverage, reviewing and filling gaps in existing automation, representing the customer, understanding how the customers use the system and including the most relevant end-to-end user scenarios in test plans and automation. Responsibilities: Understanding how all elements of the system software ecosystem work together and developing QA approaches that fit the overall strategy Responsible for development of test strategies and creation of appropriate test harnesses Providing test infrastructure to enable engineering teams to test and own quality of the services. Being a stakeholder of the release to ensure defects are fixed per SLA and end customer experience are protected and improved Development and execution of test plans, monitoring and reporting on test execution and quality metrics Coordinating with offshore Quality Service team on test execution and sign-off A day in the life Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS 4+ years of quality assurance engineering experience Experience in automation testing Experience scripting or coding Experience in manual testing · Experience in at least, one modern programming language such as Python, Java or Perl PREFERRED QUALIFICATIONS Deep hands-on technical expertise Experience with at least one automated test framework like Selenium or Appium or Cypress Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality A deep understanding of automation testing by leading engineers who can write automation scripts/programs that will aid in automated testing Experience working in Supply chain domain Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Title: Product Manager – AI Projects Location: Chennai Experience: Minimum 3 years Employment Type: Full-Time About Us: At White Mastery Systems, we’re building next-generation solutions powered by artificial intelligence. Our mission is to integrate AI into real-world products that solve meaningful problems. We are looking for a Product Manager with experience in AI-driven initiatives who can bridge the gap between technology and business to deliver high-impact solutions. Role Overview: We are seeking a motivated and skilled Product Manager to lead the execution of AI-based projects. The ideal candidate will have strong experience managing AI/ML products, crafting effective prompts for LLMs, and working with a variety of AI tools. You will drive project success by coordinating between stakeholders, tech teams, and product users. Key Responsibilities: Own and drive the end-to-end lifecycle of AI products and projects Translate business needs into clear product requirements and AI capabilities Collaborate with technical teams to ensure successful development and implementation Develop and iterate prompts to optimize performance of generative AI tools (e.g., GPT, Claude) Stay updated on AI trends and identify tools or techniques that can improve project outcomes Define and track project goals, timelines, deliverables, and resource needs Communicate effectively with leadership and cross-functional teams Collect feedback and continuously improve product features and user experience Required Qualifications: Minimum 3 years of experience in product or project management roles At least 1 year of hands-on experience managing AI/ML or generative AI projects Familiarity with prompt engineering and working with LLMs (e.g., GPT, Claude, Gemini) Exposure to AI tools and platforms such as OpenAI, Hugging Face, Midjourney, etc. Strong problem-solving abilities and attention to detail Excellent verbal and written communication skills Experience working with Agile/Scrum teams Preferred Qualifications: Educational background in computer science, AI/ML, or related field Prior experience working in tech startups or innovation teams Understanding of APIs, data pipelines, and model integrations Demonstrated ability to ship AI products from concept to launch Job Types: Full-time, Permanent Pay: ₹400,000.00 - ₹600,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Application Question(s): When can you join us? Experience: Product management: 1 year (Required) Location: Chennai, Tamil Nadu (Preferred) Work Location: In person

Job Title: Academic Trainer / Faculty - AI, ML, Data Science & IoT or any other languages Location: Chennai, Tamil Nadu Exp-3-10 years Job Type: Full-Time Salary: As per company standards. Languages Required: Fluency in Tamil and English or any other language (both mandatory) Role Objective: Empower school teachers from diverse backgrounds to confidently teach AI, ML, Data Science, and IoT by simplifying complex concepts into relatable, engaging lessons. Key Responsibilities: Train and upskill teachers with no prior tech background. Break down complex topics using analogies, visuals, and hands-on methods. Demonstrate tools like Python, sensors, spreadsheets, and cloud apps. Boost teacher confidence via demos, role-plays, and simulations. Offer post-training support and adapt content to local curricula. Must-Have Skills: Strong clarity in explaining technical concepts. Excellent communication and empathy. Experience training non-technical educators. Qualifications: Bachelor’s/Master’s in STEM/Education. 3+ years in teaching/training/EdTech. Exposure to multiple boards (CBSE, ICSE, etc.) preferred. Bonus: Hands-on with AI tools (Teachable Machine, Scratch AI, Colab). Skills in Python, IoT (Arduino/Raspberry Pi), and storytelling in STEM. Job Type: Full-time Pay: From ₹50,935.24 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Work Location: In person

We are seeking a passionate and experienced Full Stack AI/ML Engineer with a strong background in machine learning and a drive for building intelligent systems. As a Full-Stack AI/ML Engineer on the Ford Pro Charging team, you will design, build, and ship intelligent services that power our global EV-charging platform. If you love turning data into real-world impact and thrive on end-to-end ownership—from research notebooks to production APIs—this is your playground. Required Skills & Qualifications: Experience: 2+ years of professional experience in Artificial Intelligence, Machine Learning, or Data Science roles, with a proven track record of delivering production-grade AI/ML solutions (or equivalent demonstrable expertise). Technical Expertise: Proficiency in Python and strong experience with core AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers). Solid grasp of various machine learning algorithms (supervised, unsupervised, reinforcement learning) and deep learning architectures. Demonstrated experience applying machine learning to complex datasets, including structured and unstructured data. Proficient in API design (REST, GraphQL), microservices, and database design (SQL/NoSQL); production experience on at least one major cloud (AWS, Azure, or GCP). Practical knowledge of Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Argo, or similar). Problem-Solving: Excellent analytical and problem-solving skills, with proven ability to break down complex problems into iterative experiments and devise effective, scalable AI/ML solutions Enthusiasm & Learning: A genuine passion for technology, coupled with a self-driven commitment to continuous learning and mastery of new techniques. We value individuals who proactively identify challenges, conceptualize solutions, and lead ideation and innovation, beyond mere task execution Communication: Strong communication skills to articulate complex technical concepts to both technical and non-technical stakeholders. Education: Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related quantitative field. Bonus Points: Domain expertise in EV charging, smart-grid, or energy-management systems. Experience with distributed data technologies (Spark, Flink, Kafka Streams). Contributions to open-source ML projects or peer-reviewed publications. Knowledge of ethical and responsible AI frameworks, including bias detection and model explainability. Design & Develop AI Solutions: Lead the design, development, training, and evaluation of machine learning models and AI solutions across various domains to enhance our products and services. Identify AI Opportunities: Proactively identify and explore opportunities to apply data-driven solutions to improve existing products, optimize internal processes, and create new value propositions. Model Implementation & Optimization: Implement, optimize, and deploy various machine learning algorithms and deep learning architectures to solve complex problems. Data Management & Engineering: Collaborate with data engineers to ensure robust data collection, preprocessing, feature engineering, and pipeline development for effective model training and performance. Backend Integration: Design and implement robust APIs and services to integrate AI/ML models and solutions seamlessly into our existing backend infrastructure, ensuring scalability, reliability, and maintainability. Performance Monitoring & Improvement: Continuously monitor, evaluate, and fine-tune the performance, accuracy, and efficiency of deployed AI/ML models and systems. Research & Innovation: Stay abreast of the latest advancements in AI, ML, and relevant technologies, and propose innovative solutions to push the boundaries of our product capabilities. Testing & Deployment: Participate in the rigorous testing, deployment, and ongoing maintenance of AI/ML solutions in production environments.

DESCRIPTION The OPTIMA team is seeking an Instructional Designer. OPTIMA is a global team and enables Amazon to deliver a superior shopping experience to customers worldwide. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cuttingedge technology alongside our operational excellence. We enable shopping feature teams deliver superior CX quality by providing them reliable and comprehensive insights and ground truth data to measure and train ML (Machine Learning) models and handle annotation and Root Cause Analysis (RCA) across 10 different languages. The Instructional Designer will have an imaginative and creative mindset regarding the development of innovative and value-add learning content for curriculum/initiatives that impact strategic capabilities within the OPTIMA organization. The candidate must be driven, talented, comfortable and experienced with all elements of graphic, visual design, branding, animation, and video creation. In addition to strong graphic and media design skills, the candidate must have strong strategic and systems thinking, organizational skills, experience managing small and large projects, and acute attention to detail. They must have excellent communication, presentation, and interpersonal skills and the ability to present and defend their design decisions to leadership. HTML and CSS knowledge is a preferred qualification in order to support the creation of web-style pages as part of the team branding and communication strategy. Key job responsibilities Design templates, graphic content, illustrations, infographics, animations, video and web-style pages within Amazon intranet tools and various other channels. Manage graphic and media designs and multiple complex development projects from conception to delivery. Work with and for various diversified requirements and audience may require multitasking capability. Strong intrinsic design ability, typographic skills, attention to detail, and web expertise with the ability to manage multiple projects and handle large volumes of creative work. Manage the work queue, handle end-to-end design processes, related tools and proactively engage managers and stakeholders when needed. Conduct analysis to identify key tasks/skills to target in the curriculum and perform post implementation evaluation on key performance and business metrics. Communicate and highlight the risks and trade-offs in a project. Leverage technology to improve learner access and provide just in time learning. Incorporate creative execution best practices to ensure high-volume designs are delivered in a timely manner. BASIC QUALIFICATIONS 2+ years of design experience Have an available online portfolio Experience working with a variety of design tools such as Photoshop, Illustrator, and InDesign High proficiency in using authoring tools (Articulate) and Design/illustration tools, Video and Audio editing, Web design, UX Design or Multimedia. PREFERRED QUALIFICATIONS Knowledge of user-centered design methodologies, usability principles, web-based information architecture and design High proficiency in using authoring tools and Design/illustration tools, Video and Audio editing and other related platforms. End to End management of Learning & content management systems. Ability to understand Web Design basics and tools for any integrations and content hosting requirements. 4+ years’ experience as an instructional designer or any related position, such as Learning Experience Design, Communications, Education, UX Design or Multimedia training solutions. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION About Amazon.com: Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world. Overview of the role The Business Research Analyst will be responsible for Data and Machine learning part of continuous improvement projects across the Discoverability space. This will require collaboration with local and global teams. The Research Analyst should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. The Research Analyst will perform Big data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. The Research Analyst is also expected to continuously improve the ML/LLM solutions in terms of precision & recall, efficiency and scalability. The Research Analyst should be able to write clear and detailed functional specifications based on business requirements. Key job responsibilities As a Research Analyst, you'll collaborate with experts to develop advance machine learning or large language model (ML/LLM) solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML/LLM models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML/LLM models. Key job responsibilities Collaborate and propose best in class ML/LLM solutions for business requirements Dive deep to drive product pilots, demonstrate innovation and customer obsession to steer the product roadmap Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques Coordinate design efforts between Sciences and Software teams to deliver optimized solutions Communicate technical concepts to stakeholders at all levels Ability to thrive in an ambiguous, uncertain and fast moving ML/LLMuse case developments Familiar with ML/LLM models and able to work independently. BASIC QUALIFICATIONS Bachelor's degree in math/statistics/engineering or other equivalent quantitative discipline 2+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Strong analytical thinking Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. PREFERRED QUALIFICATIONS Master's degree with specialization in ML, NLP or Computer Vision preferred 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION The OPTIMA team is seeking a Manager I, Training. OPTIMA is a global team and enables Amazon to deliver a superior shopping experience to customers worldwide. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. We enable shopping feature teams deliver superior CX quality by providing them with reliable and comprehensive insights and ground truth data to measure and train ML (Machine Learning) models and handle annotation and Root Cause Analysis (RCA) across 10 different languages. The Training Manager, will be responsible for planning, coordinating, executing and delivering training programs for OPTIMA business. The ideal candidate will provide regular supervision to the training team, conduct thorough analysis of training outcomes, and deliver constructive performance feedback to drive continuous improvement. They must demonstrate strong capabilities in optimizing training efficiency through systematic approaches, including the development of standardized training materials, implementation of best practices, and utilization of performance analytics. The role demands thought clarity and cross-functional partnership. The candidate will influence stakeholders, have strong analytical skills, a track record of using data and tools to drive business impact and be comfortable working in an ambiguous environment. Key job responsibilities Manage training team across 5 sites. Manage work prioritization and delivery based on business needs. Schedule large-scale training initiatives, tracking training completion, and reporting out on training progress. Maximize productivity and Training efficiency through standardization, strong process documentation, supervision, analysis and performance feedback on a periodic basis. Ensure and drive best practices standardization across all sites. Foster the development and growth of employees (on-boarding, mentoring, teaching, etc.). Ensure training results are trackable, sustainable, achieving goal and strategy. BASIC QUALIFICATIONS A Bachelors Degree with relevant experience of 4+ years with 2+ years of people management. Excellent communication (written & oral), strong organizational skills and detail oriented. Strong analytical, problem-solving, and critical-thinking skills Comfortable working in a fast paced, highly collaborative, dynamic work environment Willingness to support several projects at one time, and to accept re-prioritization as necessary Detail-oriented, team-focused, and a quick problem-solver. Advanced proficiency in MS Office PREFERRED QUALIFICATIONS Business Analytics experience Exceptional writing skills and significant experience in people management Familiarity with online learning technology Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Organization and Background Established in 1996, Esri India Technologies Pvt. Ltd. (Esri India), the market leader in geographic information system (GIS) software, location intelligence, and mapping solutions in India, helps customers unlock the maximum potential of their data to improve operational and business decisions. It has delivered pioneering enterprise GIS technology, powered by ArcGIS, to more than 6,500 organizations in government, private sector, academia, and non-profit sectors. The company has also introduced ‘Indo ArcGIS’, a unique GIS solution & data offering suited for government organizations. Esri India collaborates with a rich ecosystem of partner organizations to deliver GIS and location intelligence-based solutions. Headquartered in Noida (Delhi NCR), the company has 1 million users in the country and has got Great Place to Work Certified® in 2021, 2022, and 2023. Website: www.esri.in Role overview Experience - 3-5 Years. Education Master's degree in RS, GIS, Geoinformatics, or a related field. Location- Bangalore. We are seeking a highly skilled GIS Data Specialist to join our team. The successful candidate will be responsible for collecting, analyzing, and interpreting geospatial data to support informed decision-making. Having AI/ML knowledge is an added advantage. Roles & Responsibilities • Data Collection and Management: Search, collect, process, and manage large datasets, including GIS data, satellite imagery, and other spatial data sources. • Require knowledge of image analysis techniques like band combinations, pixel depth, and image strip artifacts removal. • Validate and ensure the accuracy, quality, and completeness of spatial data • ETL operations: ETL operations between GIS applications/database using Esri Desktop or Server. Internally develop or collaborate with third-party vendors to deploy solutions based on business requirements. • GIS Analysis and Mapping: Conduct spatial analysis, map creation, and geospatial model development to aid various projects and initiatives. • Data Quality Assurance: Ensure data accuracy, completeness, and consistency through quality checks and resolution of data discrepancies using ArcGIS Data Reviewer. • Collaboration and Communication: Collaborate closely with stakeholders, including project managers, analysts, and external partners, to comprehend data requirements. • Create training materials and Conduct trainings to customers as required. • Support trade shows and Esri conferences as required. • Stay Up to Date with Industry Trends: Engage in continuous professional development to uphold expertise in GIS technology, data analysis, and AI. Desired skillset • Experience with Image analysis: Familiarity with Image processing techniques. • Preferred to be knowledgeable with various ESRI products - ArcGIS Enterprise, Image Analyst Extension, Data Reviewer Extension. • Effective time management and organizational skills. • Ability to identify, research, and resolve issues proactively and provide recommendations to business partners, peers, and various levels of management Non-negotiable skills • Working knowledge on imagery-based data creation on Esri platform. • Master's degree in RS, GIS, Geoinformatics, or a related field. • Should be ready for travelling & work at the client site if required. • Self-motivated with exceptional planning, critical thinking, analytical and communication skills.

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Position Overview Boeing India Private Limited is seeking an Associate Illustrated Parts Catalog Author to join the Postproduction team within the support data engineering division, based in Chennai, India. Your aspirations extend beyond our planet. You possess innovation and creativity, constantly pushing boundaries. You excel in collaborative environments while also demonstrating the capability to handle tasks independently. The position offers an opportunity to analyze complex engineering documents and revise part applicability modifications in Illustrated Parts Catalogue. Position Responsibilities : Conduct regular data analysis tasks and prepare IPC/IPD data. Conducts in-depth analysis of engineering drawings, service bulletins, and modifications to interpret data for inclusion in the IPC Analyzes BOM (Bill of Materials) and engineering drawings to create installation and assembly breakdowns of parts using authoring tools. Update the Illustrated Parts Catalog to incorporate parts interchangeability and changes from pre/post configuration service bulletins. Follows IPC procedures, publication standards and government/customer specifications for authoring. Conducts analysis of Next Higher Assemblies and build indenture relationships to support impact analysis Communicates ISO processes to company, customer, ISO auditors and representatives. Create mark-ups to serve as inputs for illustrations. Performs quality assurance checks across multiple areas. Recognizes non-conformities in product and makes recommendations for corrections and preventive actions. Compares product to incoming source data for the purpose of verifying technical accuracy. Supports customer inquiries by researching issues and drafting responses. Carries out basic formatting and cataloging of sub-assemblies and components in accordance with established procedures and specifications. Communicates effectively with global partners and coordinates with team members within the group. Recognize opportunities for process improvement. Provides mentorship and guidance to other team members. Basic Qualifications (Required Skills/Experience): Bachelor’s degree or Aircraft Maintenance Engineering (AME) or equivalent is required as a basic qualification. 5+ years of experience in Aerospace technical publications or related work experience in other similar domains Over 5 years of experience in developing, updating, and evaluating IPC/IPD in accordance with ATA100/iSpec2200/S1000D standards Experience in utilizing engineering drawings, service bulletins, specifications, and other engineering resources to research, analyze, and interpret information for inclusion in publications. Preferred Qualifications (Desired Skills/Experience): Bachelor’s degree in engineering or Aircraft Maintenance Engineering (AME) Typical Education & Experience: Education and experience generally obtained through advanced studies (such as a bachelor’s degree in engineering or its equivalent) combined with over 5 years of relevant work experience or Master’s degree with 4+ years of experience. Relocation: This position offers relocation Applications for this position will be accepted until Aug. 07, 2025 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

Job requisition ID :: 85384 Date: Jul 31, 2025 Location: Chennai Designation: Assistant Manager Entity: Deloitte Touche Tohmatsu India LLP Your potential, unleashed. India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The team Innovation, transformation and leadership occur in many ways. At Deloitte, our ability to help solve clients’ most complex issues is distinct. We deliver strategy and implementation, from a business and technology view, to help you lead in the markets where you compete. Your work profile. Overview of role and associated job description Economic Sanctions and Screening team responsible for developing, enhancing, and validating sanctions screening frameworks and models. This role plays a pivotal part in fortifying the firm's financial crime risk posture by ensuring our screening capabilities align with global regulatory expectations and industry best practices. Responsibilities Design and Development: Develop, test, and optimize sanctions screening frameworks including name and payment screening methodologies. Model Enhancement: Evaluate existing sanctions models (fuzzy matching algorithms, rules logic, thresholds) and propose enhancements based on regulatory guidance and operational feedback. Framework Review: Conduct periodic and event-driven reviews of sanctions screening models to ensure continued relevance and compliance with OFAC, EU, UN, and other regulatory standards. Scenario Calibration and Tuning: Support tuning and threshold analysis for match scoring, leveraging historical alert data and false positive metrics. Data Analytics and Insights: Analyze screening outcomes to identify gaps, trends, and patterns that inform risk mitigation strategies and enhance effectiveness. Documentation and Governance: Prepare and maintain comprehensive model documentation, validation reports, and technical specifications in line with model risk governance frameworks. Stakeholder Engagement: Collaborate with compliance officers, technology teams, and business stakeholders to gather requirements, explain model logic, and support audits and regulatory reviews. Desired qualifications Required Experience and Skills: Domain Expertise: 1-3 years of hands-on experience in sanctions screening framework development, tuning, and validation. Familiarity with leading screening platforms (e.g., FircoSoft, Bridger, Actimize, Oracle Watchlist Screening, etc.) and list management practices. In-depth understanding of global sanctions regimes (OFAC, EU, UN, HMT) and related regulatory expectations. Experience in integrating sanctions screening models with broader AML/CFT frameworks. Exposure to AI/ML techniques for entity resolution or fuzzy matching optimization. Prior involvement in regulatory examinations or independent validations of screening tools. Technical Proficiency: Strong programming and scripting skills (Python, R, SQL, SAS). Experience in data modeling, scoring logic calibration, and large-scale dataset analysis. Analytical Thinking: Ability to conduct root cause analysis on alert quality issues. Strong quantitative and qualitative problem-solving capabilities. Communication: Strong written and verbal communication skills, including the ability to explain technical models to non-technical stakeholders. Ability to craft data-backed narratives and present recommendations with clarity. Education Bachelor's Degree / Master's Degree Location and way of working Base location: Chennai This profile involves occasional travelling to client location. Hybrid is our default way of working. Each domain has customized the hybrid approach to their unique needs. Your role as an Assistant Manager We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society. In addition to living our purpose, Assistant Manager across our organization must strive to be: Inspiring - Leading with integrity to build inclusion and motivation Committed to creating purpose - Creating a sense of vision and purpose Agile - Achieving high-quality results through collaboration and Team unity Skilled at building diverse capability - Developing diverse capabilities for the future Persuasive / Influencing - Persuading and influencing stakeholders Collaborating - Partnering to build new solutions Delivering value - Showing commercial acumen Committed to expanding business - Leveraging new business opportunities Analytical Acumen - Leveraging data to recommend impactful approach and solutions through the power of analysis and visualization Effective communication – Must be well abled to have well-structured and well-articulated conversations to achieve win-win possibilities Engagement Management / Delivery Excellence - Effectively managing engagement(s) to ensure timely and proactive execution as well as course correction for the success of engagement(s) Managing change - Responding to changing environment with resilience Managing Quality & Risk - Delivering high quality results and mitigating risks with utmost integrity and precision Strategic Thinking & Problem Solving - Applying strategic mindset to solve business issues and complex problems Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte Empathetic leadership and inclusivity - creating a safe and thriving environment where everyone's valued for who they are, use empathy to understand others to adapt our behaviours and attitudes to become more inclusive. How you’ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report. Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone’s welcome… entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.

Job Title: Junior R&D Engineer Location: Chennai (On-site) Job Type: Full-Time Experience: 0–2 years Department: Research & Development About the Role: We are seeking a curious and technically skilled R&D Engineer to join our growing team in Chennai. This role involves hands-on experimentation, data analysis, and cross-functional collaboration to build and improve health-tech devices and intelligent systems. The ideal candidate should have a strong foundation in Python, with exposure to machine learning, biomedical signal processing, or embedded systems. Key Responsibilities: Support the research and development of new health monitoring products and systems. Work with Python for data analysis, algorithm development, and rapid prototyping. Collaborate on signal acquisition, processing, and interpretation of biomedical signals (EEG, ECG, etc.). Participate in testing, validation, and documentation of R&D outputs. Coordinate with hardware, software, and testing teams for integration and deployment. Analyze test data and troubleshoot system-level issues. Stay updated on industry trends in medical technology, ML/AI applications, and sensor integration. Required Skills: Strong knowledge of Python (mandatory). Basic understanding of signal processing, machine learning, or data visualization. Good understanding of biomedical concepts (preferred, not mandatory). Good written and verbal communication skills. Quick learner with a proactive, research-oriented mindset. Good to Have: Exposure to C# or .NET platforms. Experience working on academic or industry projects related to biomedical systems. Education & Qualification: B.E/B.Tech or M.E/M.Tech in Biomedical Engineering, Electronics, Computer Science, or a related field. 0–2 years of experience or strong academic/research project background. What We Offer: Opportunity to work on real-world, impactful health-tech products. Learning-focused and collaborative environment. Involvement in R&D from concept to deployment. Freedom to explore and contribute to multiple stages of innovation.

DESCRIPTION Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. BASIC QUALIFICATIONS Bachelor’s degree in a relevant field or equivalent professional experience 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy PREFERRED QUALIFICATIONS Experience with creating complex data for LLM training and evaluation 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION This team enables automation at Amazon Robotics Fulfillment centers. This team serves Amazon Internal Fulfillment Technologies & Robotics teams by enabling automation, which includes real-time & offline (image/video) data auditing services. One of the key contributions of this team is supporting the fulfillment centers in maintaining inventory accuracy. An Associate in this role is required to watch the video of the stowing action at a fulfillment center, understand it thoroughly and make best use of human judgement in combination with the tools and resources to indicate the activity captured in the video. They are expected to verify or mark the location of product through a tool while maintaining highest level of accuracy. This process helps in maintaining the fulfillment center's stow quality. This is an operational role. Under general supervision, the Associate performs precise and thorough video/image audits with high degree of accuracy and speed, thus aiding defect reduction. Key job responsibilities The Associate has to watch several hundred videos in a shift and provide responses by following goals on accuracy (quality), speed (productivity) and right / acceptable practices. Associates are required to take breaks at the pre-defined slots and ensure 6.8 to 7 hours’ time per day is spent to answer the videos. Associates who are hired to work from home should maintain (1) dedicated workspace i.e., table, chair & sufficient lighting (2) workspace / work related data shouldn’t be accessed by anyone other than employee The candidate is expected to demonstrate: Willingness to work in Non-tech role for contract duration of 6 months Ability to audit image/video/text based Jobs Ability to identify details from blurry, less sharp videos and provide correct response. Requires high level of attention & focus on screen Willingness to work on incremental targets/goals on quality & productivity Fast Pace of implementation & consistent performance Ability to work in rotational shifts (including night shifts), remote teams and exceptionally good team player Readiness to come to office for few days (when required, applicable for associates working from home) Willing to switch ON laptop camera while on virtual meetings. A day in the life Associates work in 24x7 environment with rotational shifts. Associates would be working in a 9 hour shift, including pre-scheduled breaks. The shift timings would be subject to change every 3-4 months or as per business requirement. In case associate is working in night shift, night shift allowance will be provided as per applicable Amazon’s work policy. Weekly Offs: Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion. About the team Data Auditing Operations team provides human support to Amazon Fulfillment facilities with goal of enabling hands-free active stowing through visual audits on videos/images. Videos with brief duration (typically between 15 and 20seconds) are sent to Operations Team for humans to audit them with information on products being stored at fulfilment centers. For business use, these videos must be thoroughly reviewed and audited using best human judgement. The effectiveness of automated process will be increased by using videos that Associates have audited. This process helps maintaining stow quality at fulfillment center and Associate will be further evaluated for performance improvements/coaching. BASIC QUALIFICATIONS Bachelor's degree PREFERRED QUALIFICATIONS Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Junior Machine Learning Engineer Role Key Responsibilities: Machine Learning Development Support: Assist in designing, developing and deploying ML models and algorithms under the guidance of senior engineers, to tackle client challenges across banking, legal and related sectors. Cloud & MLOps Support: Help implement ML solutions on AWS (with emphasis on Amazon SageMaker). Contribute to building and maintaining CI/CD pipelines using infrastructure-as-code tools such as CloudFormation and Terraform to automate model training and deployment. Algorithm Implementation & Testing: Write clean, efficient Python code to implement ML algorithms and data pipelines. Conduct experiments, evaluate model performance (e.g. accuracy, precision, recall) and document results. Collaboration & Communication: Work closely with data scientists, ML engineers and DevOps teams to integrate models into production. Participate in sprint meetings and client calls, conveying technical updates in clear, concise terms. Quality, Documentation & Compliance: Maintain thorough documentation of data preprocessing steps, model parameters and deployment workflows. Follow data security best practices and ensure compliance with confidentiality requirements for financial and legal data. Required Qualifications & Experience: Education: Bachelor’s degree in Computer Science, Engineering, Data Science or a closely related discipline. Experience: 0–2 years of practical exposure to machine learning or software development—this may include internships, academic projects or early professional roles. Programming & ML Skills: Proficiency in Python (including pandas, NumPy, scikit-learn). Basic understanding of ML concepts and model evaluation techniques. Cloud & DevOps Familiarity: Hands-on coursework or project experience with AWS (preferably SageMaker). Awareness of CI/CD principles and infrastructure-as-code tools (CloudFormation, Terraform). Hybrid Work Skills: Comfortable operating in a hybrid environment—able to collaborate effectively onsite in Chennai and maintain productivity when working remotely. Soft Skills: Strong analytical thinking, problem-solving aptitude and clear written/verbal communication. Demonstrated ability to learn quickly and work in a client-focused setting.

Vice President, Production Services Application Support I At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about. We’re seeking a future team member for the role of Vice President, Production Services Application Support I to join our AI- Hub team. This role is located in CHENNAI, TN - Hybrid In this role, you’ll make an impact in the following ways: Resolve and triage any issues related to critical applications, servers, networks, and overall health of the application. Maintain the operational stability and integrity BNY’s AI Hub platform which is leveraged by other LOB’s Build and maintain standard procedures to troubleshoot and resolve events. Work with Ai Hub engineers to reduce mean time to resolution and enhance delivery of the service. They must maintain communication with the vendors and the team to ensure they remain updated on any issues in their domains. Regularly interact with the Internal customers and support teams. Treat the stakeholders with diplomacy and politeness. They must handle both the non-technical and technical requirements for the users. To be successful in this role, we’re seeking the following: Bachelor’s degree in information technology or computer science and/or equivalent work experience in similar fields. 10+ years of experience in technology support areas. Including Java, Phyton, Network, Windows, Unix performing hands-on IT Infrastructure & Application troubleshooting. Proficiency in SQL and Splunk queries to understand logs and build dashboards. Understanding of AI & ML, Agents, Models and core technology on how AI systems learn and make decisions Understanding of Microsoft Azure and GCP ( Google Cloud Platform) Background and experience working in an enterprise environment with ITIL Service Management disciplines, inclusive of Request, Incident, Problem and Change processes. Self-motivated, with key strengths in initiative, dependability, and teamwork. At BNY, our culture speaks for itself. Here’s a few of our awards: America’s Most Innovative Companies, Fortune, 2024 World’s Most Admired Companies, Fortune 2024 Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024 Best Places to Work for Disability Inclusion, Disability: IN – 100% score, 2023-2024 “Most Just Companies”, Just Capital and CNBC, 2024 Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024 Bloomberg’s Gender Equality Index (GEI), 2023 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Vice President, Data Scientist I At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about. We’re seeking a future team member for the role of Vice President, Data Scientist I to join our BNY team. This role is in Chennai, TN –HYBRID. In this role, you’ll make an impact in the following ways: Mining or extracting useful data from valuable data sources. Using machine learning tools to select features, create and optimize classifiers. Preprocessing structured and unstructured data. Enhancing data collection procedures to include relevant information for analytic systems Processing, cleansing, and verifying the data quality for analysis. Working with colleagues in other departments to improve business outcomes. Creating and applying custom data models and algorithms to data sets. Keeping up with and contributing to the latest AI research, applying new findings to ongoing projects. Ensuring ethical AI development practices, focusing on fairness, transparency, and privacy. Leading the design, development, and implementation of LLMs and ML models for NLP applications. Working with cross-functional teams to define requirements, conduct experiments, and evaluate models for performance and scalability. Staying on top of the latest developments in LLMs, ML, and NLP technologies and applying them to enhance our products and services. Mentoring junior engineers and providing technical guidance on LLMs, ML, and NLP best practices. To be successful in this role, we’re seeking the following: Bachelor's degree in Computer Science, Engineering, or related field etc. Knowledge of financial domain and investment banking is a plus. Knows data well and has working knowledge of various Big Data technologies and their use in AI/ML. Has expertise in statistics and probability, and the various evaluation metrics related to different algorithms. Has built machine learning models including data preparation techniques, feature engineering techniques, and related ML algorithms to solve real world problems. Proficient in Python and common machine learning and AI frameworks and packages, such as TensorFlow, PyTorch, Keras, Scikit-learn, etc. Experience in Data Science development lifecycle, project implementation methodologies such as agile etc. and stays current with the AI research areas and current trends. Expertise in handling large and complex datasets, with a keen ability to uncover insights that drive strategic decisions. Advanced proficiency in data visualization and the creation of dashboards and protypes that communicate insights clearly. Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Role & Responsibilities 4+ years of experience applying AI to practical uses Develop and train computer vision models for tasks like: Object detection and tracking (YOLO, Faster R-CNN, etc.) Image classification, segmentation, OCR (e.g., PaddleOCR, Tesseract) Face recognition/blurring, anomaly detection, etc. Optimize models for performance on edge devices (e.g., NVIDIA Jetson, OpenVINO, TensorRT). Process and annotate image/video datasets; apply data augmentation techniques. Proficiency in Large Language Models. Strong understanding of statistical analysis and machine learning algorithms. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Understanding of image processing concepts (thresholding, contour detection, transformations, etc.) Experience in model optimization, quantization, or deploying to edge (Jetson Nano/Xavier, Coral, etc.) Strong programming skills in Python (or C++), with expertise in: Implement and optimize machine learning pipelines and workflows for seamless integration into production systems. Hands-on experience with at least one real-time CV application (e.g., surveillance, retail analytics, industrial inspection, AR/VR). OpenCV, NumPy, PyTorch/TensorFlow Computer vision models like YOLOv5/v8, Mask R-CNN, DeepSORT Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Lead the implementation of large language models in AI applications. Research and apply cutting-edge AI techniques to enhance system performance. Contribute to the development and deployment of AI solutions across various domains Requirements Design, develop, and deploy ML models for: OCR-based text extraction from scanned documents (PDFs, images) Table and line-item detection in invoices, receipts, and forms Named entity recognition (NER) and information classification Evaluate and integrate third-party OCR tools (e.g., Tesseract, Google Vision API, AWS Textract, Azure OCR,PaddleOCR, EasyOCR) Develop pre-processing and post-processing pipelines for noisy image/text data Familiarity with video analytics platforms (e.g., DeepStream, Streamlit-based dashboards). Experience with MLOps tools (MLflow, ONNX, Triton Inference Server). Background in academic CV research or published papers. Knowledge of GPU acceleration, CUDA, or hardware integration (cameras, sensors).

Company Description AppTestify is a leading provider of On-Demand Testing and Digital Engineering Services, delivering scalable solutions for businesses of all sizes. As a renowned software engineering and QA services provider, AppTestify enables faster deployment of superior software. With over 100 Engineers, the company has served more than 120 clients globally. Their expertise includes DevOps, automation testing, API testing, functional testing, mobile testing, Salesforce application testing, and comprehensive digital engineering solutions. Job Title: Machine Learning Engineer Experience: 5 to 8 Years Location: Pune Job Description: We are looking for highly motivated and experienced Machine Learning Engineers to join our advanced analytics and AI team. The ideal candidates will have strong proficiency in building, training, and deploying machine learning models at scale using modern ML tools and frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging Face Transformers is highly desirable. Key Responsibilities: Design, develop, and deploy machine learning models for real-world applications. Implement and optimize end-to-end ML pipelines using PySpark and MLflow . Work with structured and unstructured data using Pandas , NumPy , and other data processing libraries. Train and fine-tune models using scikit-learn , TensorFlow , or PyTorch . Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT , Hugging Face Transformers , etc. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Monitor model performance and continuously improve model accuracy and reliability. Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills: Strong programming experience in Python . Solid understanding of machine learning algorithms , model development, and evaluation techniques. Experience with PySpark for large-scale data processing. Proficient with MLflow for tracking experiments and model lifecycle management. Hands-on experience with Pandas , NumPy , and Scikit-learn . Familiarity or hands-on experience with LLMs (e.g., OpenAI , Hugging Face Transformers ). Understanding of MLOps principles and deployment best practices. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. Strong analytical and problem-solving abilities. Excellent communication and teamwork skills. Apply directly - https://hrms.apptestify.com/apply/688c7ed095f9ce582a3a224a

Years of Experience: 3-8 Years Location: Noida Work from Office Job Description The role involves managing and organizing large-scale video datasets, building automation tools, and ensuring accurate performance evaluations of models. The ideal candidate should be proactive, hands-on, and capable of handling a small team. Key Responsibilities Data Cataloging & Management Maintain structured catalogs of video data with consistent labeling and metadata. Organize datasets for efficient access, versioning, and reuse across model development cycles. Tool Development & Automation Build or assist in developing internal tools to automate data handling, quality checks, and reporting. Streamline data pipelines to support rapid model development and testing. Accuracy Computation & Reporting Implement evaluation pipelines to compute model metrics such as accuracy, precision, recall, etc. Generate regular performance reports to support model tuning and validation efforts. Team Collaboration & Coordination Lead a small team (up to 3 members) in daily data-related activities, ensuring quality and timely delivery. Coordinate with ML engineers, QA teams, and product stakeholders for end-to-end data lifecycle management. Qualifications & Required Skills B.Tech Experience in data analysis, preferably in video/image-based domains. Desirable knowledge of data handling tools like Python (pandas, NumPy), SQL, and Excel. Familiarity with video annotation workflows, dataset versioning, and evaluation techniques. Experience in building or using automation tools for data processing. Ability to manage tasks and mentor junior team members effectively. Good communication and documentation skills.

Company Description The Smart Cube, a WNS company, is a trusted partner for high performing intelligence that answers critical business questions. And we work with our clients to figure out how to implement the answers, faster. Job Description Job DescriptionDesign, develop, and deploy ML/DL models (including Generative AI) using Python. Apply NLP techniques for text analysis and model building. Conduct data preprocessing, feature engineering, and model evaluation. Collaborate with teams to understand needs and deliver AI solutions. Stay updated with the latest advancements in relevant AI fields. Deploy and monitor ML models in production environments.Good Knowledge of AWS/Azure cloud is goodRequired Skills and Qualifications:Proficiency in Python and relevant ML/DL libraries (e.g., scikit-learn, TensorFlow, Kera’s, PyTorch). Strong understanding and practical application of Machine Learning and Deep Learning algorithms. Experience with Natural Language Processing (NLP) techniques and libraries. Familiarity with Generative AI models and their applications. Experience in data preprocessing, feature engineering, and model evaluation. Ability to deploy and monitor machine learning models. Excellent analytical and problem-solving skills. Strong communication skills to present data insights to stakeholders.Ability to work independently and as part of a team. Qualifications Graduate/Post Graduate