2043 Inference Jobs - Page 12

Do you want to help shape the future of Copilot in Windows and AI investments through your analyses and insights? Are you passionate about delivering the next generation of user-facing AI scenarios to the hundreds of millions of people who use Windows every single day? Does the thought of partnering closely with product teams to influence the product in each stage of the lifecycle through data and insights excite you very much? Do you seek novel ways to gain insights from data and love to tell stories with those insights? Do you love driving growth in customer and business metrics by generating data driven hypotheses and running experiments? If so, we would like to talk to you! As a Data Scientist II , you will be delivering the next generation of user-facing scenarios to the hundreds of millions of people who use Windows every single day. You will partner closely with product teams to influence the product in each stage of the lifecycle through data and insights. Drive growth in customer and business metrics by generating data driven hypotheses, designing and running experiments. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Working closely with a variety of teams including senior leadership, product management, software engineers, design, User Research to understand the key business questions for customer-facing scenarios. Identify instrumentation needs, define and set up metrics and OKRs, deeply analyze the data to identify insights and experiment ideas that move our business metrics. Design and execute on Growth Experiments, analyze results to identify key insights. Help evaluate the return of investments on new ideas, to assess if investments are meeting customer and business promises, and hypotheses and insights to drive growth. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical) OR equivalent experience. 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience. Preferred Qualifications Experience with Exploratory Data Analyses, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting. Experience with Experiment Design and analysis. Demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills and relentless drive for progress. #W+DJobs Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

About Us At Artisan, we're creating AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of point solutions. We're starting with outbound sales and our AI BDR, Ava. Our platform contains every tool needed for outbound sales - B2B data, AI email sequences, deliverability optimization tools and so much more. We're growing very rapidly and recently raised a $25M Series A round from top investors. We are looking for superstars to join us on our rocketship growth as we relentlessly work towards building a multi-billion dollar company. About The Role We're not just shipping AI products—we're building ones that learn and improve autonomously . We’re looking for a Growth ML & Experimentation Engineer to build Ava’s adaptive growth brain: systems that run millions of microtests and optimize outbound performance across companies, personas, and industries. Think of this role as creating the “growth hacker” mind inside our AI BDR—combining A/B testing, reinforcement learning, and control systems at scale. You’ll be building an AI that adapts itself to every persona, every market, and every trend—without needing to be told. This isn’t growth hacking for a website. It’s evolution for an AI employee. What You'll Do Design and implement automated experimentation systems (A/Z testing, multivariate optimization, Bayesian exploration, etc). Build dynamic systems that continuously learn from open/response rates, meetings booked, and downstream metrics. Create reinforcement loops and scoring models to help Ava adjust tone, targeting, and strategies in real-time. Work closely with product to embed experimentation directly into the AI-user experience. Develop tools to visualize and interpret campaign intelligence for internal teams and end users. What You Bring 3–6+ years of experience in applied ML, ideally focused on growth, optimization, or adaptive systems. Experience with online experimentation frameworks (A/B testing infra, bandits, causal inference, etc). Strong Python and data engineering skills; comfortable working across pipelines, APIs, and backend systems. Experience working with outbound or marketing funnel data is a major plus. Passion for building intelligent systems that get better every day, without human micromanagement. Why Join Us Build the future of work by pioneering a new AI-native product category. Collaborate with a mission-driven, ambitious, and high-caliber team. Competitive salary, generous equity, and full benefits. Regular company off-sites and team events. Fast-moving culture where you'll ship meaningful work every week.

Job Title: Senior CV Engineer Location: Gurugram Experience: 6–10 Years CTC: Up to ₹ 60LPA Industry: AI Product Overview: We are hiring for our esteemed client, a Series-A funded deep-tech company building a first-of-its-kind app-based operating system for Computer Vision. The team specializes in real-time video/image inference, distributed processing, and high-throughput data handling using advanced technologies and frameworks. Key Responsibilities: Lead design and implementation of complex CV pipelines (object detection, instance segmentation, industrial anomaly detection). Own major modules from concept to deployment ensuring low latency and high reliability. Transition algorithms from Python/PyTorch to optimized C++ edge GPU implementations using TensorRT, ONNX, and GStreamer. Collaborate with cross-functional teams to refine technical strategies and roadmaps. Drive long-term data and model strategies (synthetic data generation, validation frameworks). Mentor engineers and maintain high engineering standards. Required Skills & Qualifications: 6–10 years of experience in architecting and deploying CV systems. Expertise in multi-object tracking, object detection, semi/unsupervised learning. Proficiency in Python, PyTorch/TensorFlow, Modern C++, CUDA. Experience with real-time, low-latency model deployment on edge devices. Strong systems-level design thinking across ML lifecycles. Familiarity with MLOps (CI/CD for models, versioning, experiment tracking). Bachelor’s/Master’s degree in CS, EE, or related fields with strong ML and algorithmic foundations. (Preferred) Experience with NVIDIA DeepStream, GStreamer, LLMs/VLMs, open-source contributions.

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Systems Engineering General Summary We are seeking a passionate and skilled AI/ML Engineer to join our cutting-edge Extended Reality (XR) Software team. In this role, you will work on next-generation XR products that blend the physical and digital worlds, leveraging artificial intelligence and machine learning to create immersive, intelligent, and responsive experiences. You will collaborate with cross-functional teams of researchers, engineers, and designers to build real-time AI/ML software optimized for XR platforms. A strong background in C++ or embedded firmware development is essential, as you will be working close to hardware and performance-critical systems. Key Responsibilities Design, develop, and optimize AI/ML models for XR applications such as computer vision, sensor fusion, gesture recognition, and spatial understanding. Implement real-time inference pipelines on embedded or edge devices. Collaborate with firmware and hardware teams to integrate ML models into XR systems. Analyze system performance and optimize for latency, power, and memory. Stay up to date with the latest research and trends in AI/ML and XR technologies. Contribute to the full lifecycle of product development—from prototyping to production. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. 1–10 years of industry experience in AI/ML engineering or embedded systems. Proficiency in C++ and/or embedded firmware development. Solid understanding of machine learning fundamentals and experience with frameworks like TensorFlow, PyTorch, or ONNX. Experience with deploying ML models on edge devices Familiarity with XR technologies (AR/VR/MR), sensor data processing, or 3D spatial computing. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3078482

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software. We are seeking AI Backend Engineers to play a pivotal role in building our Agentic Workflow Service and Retrieval-Augmented Generation (RAG) Service. In this hybrid role, you'll leverage your expertise in both backend development and machine learning to create robust, scalable AI-powered systems using AWS Kubernetes, Amazon Bedrock models, AWS Strands Framework, and LangChain / LangGraph. Understanding of and expertise in: Design and implement core backend services and APIs for agentic framework and RAG systems LLM-based applications using Amazon Bedrock models RAG systems with advanced retrieval mechanisms and vector database integration Implement agentic workflows using technologies such as AWS Strands Framework, LangChain / LangGraph Design and develop microservices that efficiently integrate AI capabilities Create scalable data processing pipelines for training data and document ingestion Optimize model performance, inference latency, and overall system efficiency Implement evaluation metrics and monitoring for AI components Write clean, maintainable, and well-tested code with comprehensive documentation Collaborate with multiple multi-functional team members including DevOps, product, and frontend engineers Stay ahead of with the latest advancements in LLMs and AI agent architectures Minimum Experience Requirements 6+ years of total software engineering experience Backend Development Experience With Strong Python Programming Skills Experience in ML/AI engineering, particularly with LLMs and generative AI applications Experience with microservices architecture, API design, and asynchronous programming Demonstrated experience building RAG systems and working with vector databases LangChain/LangGraph or similar LLM orchestration frameworks Solid understanding of AWS services, particularly Bedrock, Lambda, and container services Experience with containerization technologies and Kubernetes Understanding of ML model deployment, serving, and monitoring in production environments Knowledge of prompt engineering and LLM fine-tuning techniques Excellent Problem-solving Abilities And System Design Skills Strong communication skills and ability to explain complex technical concepts Experience in Kubernetes, AWS Serverless Experience in working with Databases (SQL, NoSQL) and data structures Ability to learn new technologies quickly Preferred Qualifications: Must have AWS certifications - Associate Architect / Developer / Data Engineer / AI Track Must have familiarity with streaming architectures and real-time data processing Must have experience with ML experiment tracking and model versioning Must have understanding of ML/AI ethics and responsible AI development Experience with AWS Strands Framework Knowledge of semantic search and embedding models Contributions to open-source ML/AI projects We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare. Siemens Software. ‘Transform the everyday' , #SWSaaS

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet Job Title: Specialty Development Consultant Location: Chennai Work Type: Hybrid Position Description: Train, Build and Deploy ML, DL Models Software development using Python, work with Tech Anchors, Product Managers and the Team internally and across other Teams Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end Software development using TDD approach Experience using GCP products & services Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Skills Required: Python, cloud, GCP Experience Required: 3+ years of experience in Python software development 3+ years experience in Cloud technologies & services, preferably GCP 3+ years of experience of practicing statistical methods and their accurate application e.g. ANOVA, principal component analysis, correspondence analysis, k-means clustering, factor analysis, multi-variate analysis, Neural Networks, causal inference, Gaussian regression, etc. 3+ years experience with Python, SQL, BQ. Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Vertex AI, Airflow, TensorFlow, etc., Experience in Train, Build and Deploy ML, DL Models Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end. Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Building and deploying Models (Scikit learn, DataRobots, TensorFlow PyTorch, etc.) Developing and deploying On-Prem & Cloud environments Kubernetes, Tekton, OpenShift, Terraform, Vertex AI Experience Preferred: 2 to 5 yrs Education Required: Bachelor's Degree TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Fynd is India’s largest omnichannel platform and a multi-platform tech company specializing in retail technology and products in AI, ML, big data, image editing, and the learning space. It provides a unified platform for businesses to seamlessly manage online and offline sales, store operations, inventory, and customer engagement. Serving over 2,300 brands, Fynd is at the forefront of retail technology, transforming customer experiences and business processes across various industries. About The Role We are hiring a Product Growth Manager to lead initiatives at the intersection of retail, AI, and product execution. This role requires someone who can conceptualize and build AI-native features, scale them effectively, and drive adoption through experimentation, data insights, and structured execution. You will work closely with engineering, machine learning, product, and business teams to deliver AI-powered capabilities that solve real-world retail challenges. The ideal candidate has strong technical foundations, sharp product instincts, and a proven ability to operate with speed and ownership in high-growth environments. What will you do at Fynd? Build and launch AI-native product features in collaboration with ML and engineering teams. Drive product-led growth initiatives focused on activation, retention, and adoption. Translate AI/ML capabilities into scalable and intuitive product experiences. Work hands-on with model deployments, inference systems, and API integrations. Own end-to-end product execution—from problem discovery to roadmap delivery and post-launch iteration. Contribute to platform strategies that scale AI features from MVPs to production-grade adoption. Understand and influence product flows specific to retail, catalog systems, and commerce automation. Some Specific Requirements AI and Technical Foundations Strong grasp of LLMs, embeddings, vector databases, RAG, and fine-tuning methods like LoRA and QLoRA. Hands-on experience with OpenAI, Hugging Face, LangChain, LlamaIndex, and production-grade AI tooling. Familiar with AI workflows using FastAPI, Docker, MLflow, and model serving via Ray or TorchServe. Comfortable working with GitHub, Git, and tools for managing models, code, and experiments. Good understanding of microservices, API design (REST/GraphQL), and scalable backend systems. Experienced in CI/CD setup for training and deploying ML models to production. Data and Analytics Proficient in SQL, BigQuery, and Looker Studio for data exploration and dashboards. Able to design KPIs, success metrics, and user journey insights for product analytics. Knowledge of tools like dbt, Airflow, and event-based platforms like PostHog or Mixpanel. Experience with A/B testing, funnel analysis, and behavioral cohort tracking. Retail and Product Execution Solid understanding of retail workflows, product catalogs, and commerce ecosystems. Experience building and scaling digital products with real-world user adoption. Strong product judgment and ability to balance business, user, and technical priorities. Stakeholder Management and Execution Leadership Ability to lead and influence cross-functional teams to drive high-quality execution. Strong communication skills to present AI-driven concepts to both technical and non-technical audiences. Experience with Agile methodologies and tools such as Jira, Confluence, and Asana for planning and tracking. Preferred Experience 2 to 5 years in product, growth, or AI-focused roles. Experience in building and scaling AI-powered or technology-driven platforms. Exposure to retail, e-commerce, or SaaS environments. Track record of delivering outcomes in fast-paced, cross-functional teams. Why Join Us Be part of a team shaping the future of AI-native platforms in digital commerce. Work closely with leading AI engineers, product teams, and business stakeholders. Own and execute high-impact initiatives with autonomy and accountability. Operate in a culture that values speed, clarity, and innovation. If you're someone who thrives on execution, loves solving complex problems, and wants to build the future of AI-native platforms, we’d love to have you on board Growth Growth knows no bounds, as we foster an environment that encourages creativity, embraces challenges, and cultivates a culture of continuous expansion. We are looking at new product lines, international markets and brilliant people to grow even further. We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially. Flex University We help you upskill by organising in-house courses on important subjects Learning Wallet: You can also do an external course to upskill and grow, we reimburse it for you. Culture Community and Team building activities Host weekly, quarterly and annual events/parties. Wellness Mediclaim policy for you + parents + spouse + kids Experienced therapist for better mental health, improve productivity & work-life balance We work from the office 5 days a week to promote collaboration and teamwork. Join us to make an impact in an engaging, in-person environment

Experience Required: 3-5 years of hands-on experience in full-stack development, system design, and supporting AI/ML data-driven solutions in a production environment. Key Responsibilities Implementing Technical Designs: Collaborate with architects and senior stakeholders to understand high-level designs and break them down into detailed engineering tasks. Implement system modules and ensure alignment with architectural direction. Cross-Functional Collaboration: Work closely with software developers, data scientists, and UI/UX teams to translate system requirements into working code. Clearly communicate technical concepts and implementation plans to internal teams. Stakeholder Support: Participate in discussions with product and client teams to gather requirements. Provide regular updates on development progress and raise flags early to manage expectations. System Development & Integration: Develop, integrate, and maintain components of AI/ML platforms and data-driven applications. Contribute to scalable, secure, and efficient system components based on guidance from architectural leads. Issue Resolution: Identify and debug system-level issues, including deployment and performance challenges. Proactively collaborate with DevOps and QA to ensure resolution. Quality Assurance & Security Compliance: Ensure that implementations meet coding standards, performance benchmarks, and security requirements. Perform unit and integration testing to uphold quality standards. Agile Execution: Break features into technical tasks, estimate efforts, and deliver components in sprints. Participate in sprint planning, reviews, and retrospectives with a focus on delivering value. Tool & Framework Proficiency: Use modern tools and frameworks in your daily workflow, including AI/ML libraries, backend APIs, front-end frameworks, databases, and cloud services, contributing to robust, maintainable, and scalable systems. Continuous Learning & Contribution: Keep up with evolving tech stacks and suggest optimizations or refactoring opportunities. Bring learnings from the industry into internal knowledge-sharing sessions. Proficiency in using AI-copilots for Coding: Adaptation to emerging tools and knowledge of prompt engineering to effectively use AI for day-to-day coding needs. Technical Skills Hands-on experience with Python-based AI/ML development using libraries such as TensorFlow, PyTorch, scikit-learn, or Keras. Hands-on exposure to self-hosted or managed LLMs, supporting integration and fine-tuning workflows as per system needs while following architectural blueprints. Practical implementation of NLP/CV modules using tools like SpaCy, NLTK, Hugging Face Transformers, and OpenCV, contributing to feature extraction, preprocessing, and inference pipelines. Strong backend experience using Django, Flask, or Node.js, and API development (REST or GraphQL). Front-end development experience with React, Angular, or Vue.js, with a working understanding of responsive design and state management. Development and optimization of data storage solutions, using SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra), with hands-on experience configuring indexes, optimizing queries, and using caching tools like Redis and Memcached. Working knowledge of microservices and serverless patterns, participating in building modular services, integrating event-driven systems, and following best practices shared by architectural leads. Application of design patterns (e.g., Factory, Singleton, Observer) during implementation to ensure code reusability, scalability, and alignment with architectural standards. Exposure to big data tools like Apache Spark, and Kafka for processing datasets. Familiarity with ETL workflows and cloud data warehouse, using tools such as Airflow, dbt, BigQuery, or Snowflake. Understanding of CI/CD, containerization (Docker), IaC (Terraform), and cloud platforms (AWS, GCP, or Azure). Implementation of cloud security guidelines, including setting up IAM roles, configuring TLS/SSL, and working within secure VPC setups, with support from cloud architects. Exposure to MLOps practices, model versioning, and deployment pipelines using MLflow, FastAPI, or AWS SageMaker. Configuration and management of cloud services such as AWS EC2, RDS, S3, Load Balancers, and WAF, supporting scalable infrastructure deployment and reliability engineering efforts. Personal Attributes Proactive Execution and Communication: Able to take architectural direction and implement it independently with minimal rework with regular communication with stakeholders Collaboration: Comfortable working across disciplines with designers, data engineers, and QA teams. Responsibility: Owns code quality and reliability, especially in production systems. Problem Solver: Demonstrated ability to debug complex systems and contribute to solutioning. Key: Python, Django, Django ORM, HTML, CSS, Bootstrap, JavaScript, jQuery, Multi-threading, Multi-processing, Database Design, Database Administration, Cloud Infrastructure, Data Science, self-hosted LLMs Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in cloud or machine learning are a plus. Package: 6-11 LPA Job Types: Full-time, Permanent Pay: ₹600,000.00 - ₹1,100,000.00 per year Work Location: In person

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Assistant Vice President– Generative AI – Systems Architect Role Overview: We are looking for an experienced Systems Architect with extensive experience in designing and scaling Generative AI systems to production. This role requires an individual with deep expertise in system architecture, software engineering, data platforms, and AI infrastructure, who can bridge the gap between data science, engineering and business. You will be responsible for end-to-end architecture of Gen.AI systems including model lifecycle management, inference, orchestration, pipelines Key Responsibilities: Architect and design end-to-end systems for production-grade Generative AI applications (e.g., LLM-based chatbots, copilots, content generation tools). Define and oversee system architecture covering data ingestion, model training/fine-tuning, inferencing, and deployment pipelines. Establish architectural tenets like modularity, scalability, reliability, observability, and maintainability. Collaborate with data scientists, ML engineers, platform engineers, and product managers to align architecture with business and AI goals. Choose and integrate foundation models (open source or proprietary) using APIs, model hubs, or fine-tuned versions. Evaluate and design solutions based on architecture patterns such as Retrieval-Augmented Generation (RAG), Agentic AI, Multi-modal AI, and Federated Learning. Design secure and compliant architecture for enterprise settings, including data governance, auditability, and access control. Lead system design reviews and define non-functional requirements (NFRs), including latency, availability, throughput, and cost. Work closely with MLOps teams to define the CI /CD processes for model and system updates. Contribute to the creation of reference architectures, design templates, and reusable components. Stay abreast of the latest advancements in GenAI , system design patterns, and AI platform tooling. Qualifications we seek in you! Minimum Qualifications Proven experience designing and implementing distributed systems, cloud-native architectures, and microservices. Deep understanding of Generative AI architectures, including LLMs, diffusion models, prompt engineering, and model fine-tuning. Strong experience with at least one cloud platform (AWS, GCP, or Azure) and services like SageMaker, Vertex AI, or Azure ML. Experience with Agentic AI systems or orchestrating multiple LLM agents. Experience with multimodal systems (e.g., combining image, text, video, and speech models). Knowledge of semantic search, vector databases, and retrieval techniques in RAG. Familiarity with Zero Trust architecture and advanced enterprise security practices. Experience in building developer platforms/toolkits for AI consumption. Contributions to open-source AI system frameworks or thought leadership in GenAI architecture. Hands-on experience with tools and frameworks like LangChain , Hugging Face, Ray, Kubeflow, MLflow , or Weaviate /FAISS. Knowledge of data pipelines, ETL/ELT, and data lakes/warehouses (e.g., Snowflake, BigQuery , Delta Lake). Solid grasp of DevOps and MLOps principles, including containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, and model monitoring. Familiarity with system design tradeoffs in latency vs cost vs scale for GenAI workloads. Preferred Qualifications: Bachelor’s or Master’s degree in computer science, Engineering, or related field. Experience in software/system architecture, with experience in GenAI /AI/ML. Proven experience designing and implementing distributed systems, cloud-native architectures, and microservices. Strong interpersonal and communication skills; ability to collaborate and present to technical and executive stakeholders. Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, Google Cloud Professional Data Engineer). Familiarity with data governance and security best practices. Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Assistant Vice President Primary Location India-Hyderabad Schedule Full-time Education Level Master's / Equivalent Job Posting Jul 22, 2025, 12:35:15 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

Data Scientist II Hyderabad, Telangana, India Date posted Jul 21, 2025 Job number 1848132 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Do you want to help shape the future of Copilot in Windows and AI investments through your analyses and insights? Are you passionate about delivering the next generation of user-facing AI scenarios to the hundreds of millions of people who use Windows every single day? Does the thought of partnering closely with product teams to influence the product in each stage of the lifecycle through data and insights excite you very much? Do you seek novel ways to gain insights from data and love to tell stories with those insights? Do you love driving growth in customer and business metrics by generating data driven hypotheses and running experiments? If so, we would like to talk to you! As a Data Scientist II , you will be delivering the next generation of user-facing scenarios to the hundreds of millions of people who use Windows every single day. You will partner closely with product teams to influence the product in each stage of the lifecycle through data and insights. Drive growth in customer and business metrics by generating data driven hypotheses, designing and running experiments. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical) OR equivalent experience. 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience. Preferred Qualifications: Experience with Exploratory Data Analyses, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting. Experience with Experiment Design and analysis. Demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills and relentless drive for progress. #W+DJobs Responsibilities Working closely with a variety of teams including senior leadership, product management, software engineers, design, User Research to understand the key business questions for customer-facing scenarios. Identify instrumentation needs, define and set up metrics and OKRs, deeply analyze the data to identify insights and experiment ideas that move our business metrics. Design and execute on Growth Experiments, analyze results to identify key insights. Help evaluate the return of investments on new ideas, to assess if investments are meeting customer and business promises, and hypotheses and insights to drive growth. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Lead Associate – EUC Platform We are seeking candidates with good hands-on experience in macOS support, Agentic systems, and application packaging. A foundational understanding of integrating Generative AI capabilities—such as working with OpenAI APIs and prompt engineering—is highly desirable. The role also requires experience with cloud deployments and a solid working knowledge of device management tools like SCCM or equivalent Responsibilities Design, develop, and implement solutions leveraging Generative AI technologies, including integration of OpenAI APIs into enterprise workflows or applications. Create, test, and optimize prompts for various use cases to ensure accurate and contextually relevant AI responses. Collaborate with cross-functional teams to identify opportunities for AI-driven automation, personalization, or decision support. Monitor API usage, performance, and cost to ensure scalable and efficient implementation of AI features. Stay updated on advancements in large language models (LLMs), prompt engineering techniques, and AI safety best practices. Build reusable prompt libraries and maintain documentation for internal teams and stakeholders. Troubleshoot AI integration issues and provide guidance on fine-tuning responses for business-specific requirements. Thin Clients, MACs, Chrome Books support added advantage. Excellent in customer calls/Meeting/escalation handling & delivery for 24/7 IT operations, able to work on pressure. Good communication Skills Inspect and troubleshoot HTTP request headers, payloads, and responses from OpenAI APIs, addressing issues such as authentication failures, rate limits, timeouts, and malformed inputs. Analyze prompt structures to diagnose inconsistent or irrelevant AI responses, and refine instructions to reduce issues like hallucinations, leakage, or unexpected completions. Investigate and resolve slow API response times or high inference latency caused by model selection or integration bottlenecks; optimize prompt design and leverage batching where applicable. Address issues related to token limit exceedance by implementing prompt truncation or response summarization strategies. Troubleshoot errors caused by exceeded API rate limits or usage quotas, and apply appropriate handling mechanisms. Resolve access issues related to network environments, including firewall restrictions, VPN conflicts, or proxy configurations. Monitor and adapt to changes in OpenAI API versions or deprecated endpoints to ensure integration stability. Investigate potential data privacy risks, unsecured connections, or policy non-compliance in AI integrations. Configure error logging and monitoring systems to capture failed interactions, analyze edge cases, and continuously improve prompt and API performance. Qualifications Minimum Qualifications Bachelor’s degree or certification from an accredited institution in technology good experience or equivalent training Preferred qualifications Technical certification (MS Azure fundamentals) will be added benefit Excellent communication skills and strong customer service skills Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Lead Associate Primary Location India-Gurugram Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jul 22, 2025, 4:04:38 AM Unposting Date Ongoing Master Skills List Consulting Job Category Full Time

Job Description Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Google cloud build, cloud run, Vertex AI, Airflow, TensorFlow, etc., Experience in Train, Build and Deploy ML, DL Models Experience in HuggingFace, Chainlit, React Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end. Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Building and deploying Models (Scikit learn, DataRobots, TensorFlow PyTorch, etc.) Developing and deploying On-Prem & Cloud environments Kubernetes, Tekton, OpenShift, Terraform, Vertex AI Experience in LLM models like PaLM, GPT4, Mistral (open-source models), Work through the complete lifecycle of Gen AI model development, from training and testing to deployment and performance monitoring. Developing and maintaining AI pipelines with multimodalities like text, image, audio etc. Have implemented in real-world Chat bots or conversational agents at scale handling different data sources. Experience in developing Image generation/translation tools using any of the latent diffusion models like stable diffusion, Instruct pix2pix. Expertise in handling large scale structured and unstructured data. Efficiently handled large-scale generative AI datasets and outputs. Familiarity in the use of Docker tools, pipenv/conda/poetry env Comfort level in following Python project management best practices (use of cxzsetup.py, logging, pytests, relative module imports,sphinx docs,etc.,) Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,) High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI, Good working knowledge on other open source packages to benchmark and derive summary Experience in using GPU/CPU of cloud and on-prem infrastructures Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs. Use of Dockers (experience in experimental docker features, docker-compose, etc.,) Familiarity with orchestration tools such as airflow, Kubeflow Experience in CI/CD, infrastructure as code tools like terraform etc. Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc., Ability to develop APIs with compliance, ethical, secure and safe AI tools. Good UI skills to visualize and build better applications using Gradio, Dash, Streamlit, React, Django, etc., Deeper understanding of javascript, css, angular, html, etc., is a plus. Responsibilities Design NLP/LLM/GenAI applications/products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML products that could be consumed at scale. Qualifications Education : Bachelor’s or Master’s Degree in Computer Science, Engineering, Maths or Science Performed any modern NLP/LLM courses/open competitions is also welcomed.

About MostEdge MostEdge empowers retailers with smart, trusted, and sustainable solutions to run their stores more efficiently. Through our Inventory Management Service, powered by the StockUPC app , we provide accurate, real-time insights that help stores track inventory, prevent shrink, and make smarter buying decisions. Our mission is to deliver trusted, profitable experiences—empowering retailers, partners and employees to accelerate commerce in a sustainable manner. Job Summary: We are seeking a highly skilled and motivated AI/ML Engineer with a specialization in Computer Vision & Un-Supervised Learning to join our growing team. You will be responsible for building, optimizing, and deploying advanced video analytics solutions for smart surveillance applications , including real-time detection, facial recognition, and activity analysis. This role combines the core competencies of AI/ML modelling with the practical skills required to deploy and scale models in real-world production environments , both in the cloud and on edge devices . Key Responsibilities: AI/ML Development & Computer Vision Design, train, and evaluate models for: Face detection and recognition Object/person detection and tracking Intrusion and anomaly detection Human activity or pose recognition/estimation Work with models such as YOLOv8, DeepSORT, RetinaNet, Faster-RCNN, and InsightFace. Perform data preprocessing, augmentation, and annotation using tools like LabelImg, CVAT, or custom pipelines. Surveillance System Integration Integrate computer vision models with live CCTV/RTSP streams for real-time analytics. Develop components for motion detection , zone-based event alerts , person re-identification , and multi-camera coordination . Optimize solutions for low-latency inference on edge devices (Jetson Nano, Xavier, Intel Movidius, Coral TPU). Model Optimization & Deployment Convert and optimize trained models using ONNX , TensorRT , or OpenVINO for real-time inference. Build and deploy APIs using FastAPI , Flask , or TorchServe . Package applications using Docker and orchestrate deployments with Kubernetes . Automate model deployment workflows using CI/CD pipelines (GitHub Actions, Jenkins). Monitor model performance in production using Prometheus , Grafana , and log management tools. Manage model versioning, rollback strategies, and experiment tracking using MLflow or DVC . As an AI/ML Engineer, you should be well-versed of AI agent development and finetuning experience Collaboration & Documentation Work closely with backend developers, hardware engineers, and DevOps teams. Maintain clear documentation of ML pipelines, training results, and deployment practices. Stay current with emerging research and innovations in AI vision and MLOps. Required Qualifications: Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or a related field. 3–6 years of experience in AI/ML, with a strong portfolio in computer vision, Machine Learning . Hands-on experience with: Deep learning frameworks: PyTorch, TensorFlow Image/video processing: OpenCV, NumPy Detection and tracking frameworks: YOLOv8, DeepSORT, RetinaNet Solid understanding of deep learning architectures (CNNs, Transformers, Siamese Networks). Proven experience with real-time model deployment on cloud or edge environments. Strong Python programming skills and familiarity with Git, REST APIs, and DevOps tools. Preferred Qualifications: Experience with multi-camera synchronization and NVR/DVR systems. Familiarity with ONVIF protocols and camera SDKs. Experience deploying AI models on Jetson Nano/Xavier , Intel NCS2 , or Coral Edge TPU . Background in face recognition systems (e.g., InsightFace, FaceNet, Dlib). Understanding of security protocols and compliance in surveillance systems. Tools & Technologies: Languages & AI - Python, PyTorch, TensorFlow, OpenCV, NumPy, Scikit-learn Model Serving - FastAPI, Flask, TorchServe, TensorFlow Serving, REST/gRPC APIs Model Optimization - ONNX, TensorRT, OpenVINO, Pruning, Quantization Deployment - Docker, Kubernetes, Gunicorn, MLflow, DVC CI/CD & DevOps - GitHub Actions, Jenkins, GitLab CI Cloud & Edge - AWS SageMaker, Azure ML, GCP AI Platform, Jetson, Movidius, Coral TPU Monitoring - Prometheus, Grafana, ELK Stack, Sentry Annotation Tools - LabelImg, CVAT, Supervisely Benefits: Competitive compensation and performance-linked incentives. Work on cutting-edge surveillance and AI projects. Friendly and innovative work culture. Job Types: Full-time, Permanent Pay: From ₹400,000.00 per year Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Evening shift Monday to Friday Morning shift Night shift Rotational shift US shift Weekend availability Supplemental Pay: Performance bonus Quarterly bonus Work Location: In person Application Deadline: 25/07/2025 Expected Start Date: 01/08/2025

Company Description LogiQlink Technologies specializes in technology consulting and engineering, with expertise in developing IoT products, crafting digital experiences, and creating digital marketing strategies. Headquartered in Indore, one of Central India’s largest technology hubs, we provide comprehensive engineering services and industry knowledge to assist clients in building new products and implementing digital transformations. Our dedicated team of skilled engineers, architects, designers, project managers, business analysts, digital marketers, and data scientists work collaboratively with clients globally. Experience : 4–8 years Responsibilities : Set up edge-side services for video analytics (driver monitoring, face recognition, ADAS). Integrate Jetson Orin/Nano or similar boards with camera, mic, speaker, and sensors. Optimize pipelines for multi-camera inference, power efficiency, and low latency. Enable OBD/CAN communication and diagnostics protocols. Deploy and monitor system updates (OTA, Docker, Mender, etc.). Requirements : Strong Python/C++ with edge AI toolkits (DeepStream, TensorRT, OpenCV, PyTorch). Experience with Jetson platform, CAN tools, and sensors (IMU, GPS, light, baro). Familiar with protocols like MQTT, gRPC, and secure edge-cloud sync.

AI/ML Engineer – Core Algorithm and Model Expert 1. Role Objective: The engineer will be responsible for designing, developing, and optimizing advanced AI/ML models for computer vision, generative AI, Audio processing, predictive analysis and NLP applications. Must possess deep expertise in algorithm development and model deployment as production-ready products for naval applications. Also responsible for ensuring models are modular, reusable, and deployable in resource constrained environments. 2. Key Responsibilities: 2.1. Design and train models using Naval-specific data and deliver them in the form of end products 2.2. Fine-tune open-source LLMs (e.g. LLaMA, Qwen, Mistral, Whisper, Wav2Vec, Conformer models) for Navy-specific tasks. 2.3. Preprocess, label, and augment datasets. 2.4. Implement quantization, pruning, and compression for deployment-ready AI applications. 2.5. The engineer will be responsible for the development, training, fine-tuning, and optimization of Large Language Models (LLMs) and translation models for mission-critical AI applications of the Indian Navy. The candidate must possess a strong foundation in transformer-based architectures (e.g., BERT, GPT, LLaMA, mT5, NLLB) and hands-on experience with pretraining and fine-tuning methodologies such as Supervised Fine-Tuning (SFT), Instruction Tuning, Reinforcement Learning from Human Feedback (RLHF), and Parameter-Efficient Fine-Tuning (LoRA, QLoRA, Adapters). 2.6. Proficiency in building multilingual and domain-specific translation systems using techniques like backtranslation, domain adaptation, and knowledge distillation is essential. 2.7. The engineer should demonstrate practical expertise with libraries such as Hugging Face Transformers, PEFT, Fairseq, and OpenNMT. Knowledge of model compression, quantization, and deployment on GPU-enabled servers is highly desirable. Familiarity with MLOps, version control using Git, and cross-team integration practices is expected to ensure seamless interoperability with other AI modules. 2.8. Collaborate with Backend Engineer for integration via standard formats (ONNX, TorchScript). 2.9. Generate reusable inference modules that can be plugged into microservices or edge devices. 2.10. Maintain reproducible pipelines (e.g., with MLFlow, DVC, Weights & Biases). 3. Educational Qualifications Essential Requirements: 3.1. B Tech / M.Tech in Computer Science, AI/ML, Data Science, Statistics or related field with exceptional academic record. 3.2. Minimum 75% marks or 8.0 CGPA in relevant engineering disciplines. Desired Specialized Certifications: 3.3. Professional ML certifications from Google, AWS, Microsoft, or NVIDIA 3.4. Deep Learning Specialization. 3.5. Computer Vision or NLP specialization certificates. 3.6. TensorFlow/ PyTorch Professional Certification. 4. Core Skills & Tools: 4.1. Languages: Python (must), C++/Rust. 4.2. Frameworks: PyTorch, TensorFlow, Hugging Face Transformers. 4.3. ML Concepts: Transfer learning, RAG, XAI (SHAP/LIME), reinforcement learning LLM finetuning, SFT, RLHF, LoRA, QLorA and PEFT. 4.4. Optimized Inference: ONNX Runtime, TensorRT, TorchScript. 4.5. Data Tooling: Pandas, NumPy, Scikit-learn, OpenCV. 4.6. Security Awareness: Data sanitization, adversarial robustness, model watermarking. 5. Core AI/ML Competencies: 5.1. Deep Learning Architectures: CNNs, RNNs, LSTMs, GRUs, Transformers, GANs, VAEs, Diffusion Models 5.2. Computer Vision: Object detection (YOLO, R-CNN), semantic segmentation, image classification, optical character recognition, facial recognition, anomaly detection. 5.3. Natural Language Processing: BERT, GPT models, sentiment analysis, named entity recognition, machine translation, text summarization, chatbot development. 5.4. Generative AI: Large Language Models (LLMs), prompt engineering, fine-tuning, Quantization, RAG systems, multimodal AI, stable diffusion models. 5.5. Advanced Algorithms: Reinforcement learning, federated learning, transfer learning, few-shot learning, meta-learning 6. Programming & Frameworks: 6.1. Languages: Python (expert level), R, Julia, C++ for performance optimization. 6.2. ML Frameworks: TensorFlow, PyTorch, JAX, Hugging Face Transformers, OpenCV, NLTK, spaCy. 6.3. Scientific Computing: NumPy, SciPy, Pandas, Matplotlib, Seaborn, Plotly 6.4. Distributed Training: Horovod, DeepSpeed, FairScale, PyTorch Lightning 7. Model Development & Optimization: 7.1. Hyperparameter tuning using Optuna, Ray Tune, or Weights & Biases etc. 7.2. Model compression techniques (quantization, pruning, distillation). 7.3. ONNX model conversion and optimization. 8. Generative AI & NLP Applications: 8.1. Intelligence report analysis and summarization. 8.2. Multilingual radio communication translation. 8.3. Voice command systems for naval equipment. 8.4. Automated documentation and report generation. 8.5. Synthetic data generation for training simulations. 8.6. Scenario generation for naval training exercises. 8.7. Maritime intelligence synthesis and briefing generation. 9. Experience Requirements 9.1. Hands-on experience with at least 2 major AI domains. 9.2. Experience deploying models in production environments. 9.3. Contribution to open-source AI projects. 9.4. Led development of multiple end-to-end AI products. 9.5. Experience scaling AI solutions for large user bases. 9.6. Track record of optimizing models for real-time applications. 9.7. Experience mentoring technical teams 10. Product Development Skills 10.1. End-to-end ML pipeline development (data ingestion to model serving). 10.2. User feedback integration for model improvement. 10.3. Cross-platform model deployment (cloud, edge, mobile) 10.4. API design for ML model integration 11. Cross-Compatibility Requirements: 11.1. Define model interfaces (input/output schema) for frontend/backend use. 11.2. Build CLI and REST-compatible inference tools. 11.3. Maintain shared code libraries (Git) that backend/frontend teams can directly call. 11.4. Joint debugging and model-in-the-loop testing with UI and backend teams

Responsibilities Join the Innovative BytePlus Team As part of BytePlus, you'll help enterprise customers build what's next for their business. Leveraging Bytedance's cutting-edge technologies, we are devoted to developing innovative products and solutions to shape the future. We help our clients to focus on what truly matters. Centering on innovation and excellence, we create gamechanging solutions that help businesses to unleash their potential. You can help us to achieve our mission. Responsibilities: Partner with regional Sales Teams to qualify leads, identify client's pain points and create technical solutions that eventually deliver business results to clients Externally, call upon technical expertise and business acumen to lead the enterprise client engagement (C-level to working level) lifecycle end-to-end, from pre-sales solutioning to delivering project implementation. Activities include demos, presentations, RFI/RFP, architecture design workshops & POC delivery. Internally, act as trusted advisor collaborating with multiple product teams and articulate clear feature requests to shape product roadmap in both short- and long-term. Provide Thought Leadership, Industry Knowledge, and deep understanding across multiple cloud and ML products. Maintain post-sales solution support and drive upsell/cross-sell together with Account Executives. Qualifications Minimum Qualifications: Engineering Bachelor degree and above; At least 5 years of related work experience, preferably in the role of solution architect or pre-sales solution engineering; Product-wise, preferably have deep understanding in AI solutions on Public Cloud, including but not limited to: LLM applications in industry verticals like social, entertainment, DNBs, FinTech, etc Agentic AI design paradigms - Re-Act, Plan and Execute, Multi-Agent, etc AI Infra, such as GPU selections and model inference acceleration frameworks (vLLM, sglang, etc) Traditional ML applications (ML Recommend, computer vision, NLP) Preferred Qualifications: Industry-wise, preferably have worked with large enterprise clients in verticals like Retail, Media, Entertainment, Gaming, etc Basic to advanced developer skills can be a plus: Front-end dev with web (JS & JS frameworks) and native apps (iOS & Android) Back-end micro service architecture knowledge and server-side API integration Hands-on experience building Deep Learning models Excellent communication skills in English, both written and verbal Comfortable with fast-paced and ambiguous "startup" environment Can-Do attitude, Self-starter, Ability to work independently and highly motivated with contagious enthusiasm; Team player and able to foster positive team morale, to set goals and drive for successful fulfilment; Gives attention to Details as much as to the "Bigger Picture"; Can synthetize. Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Competetive Salary PF and Gratuity About Our Client Our client is an international professional services brand of firms, operating as partnerships under the brand. It is the second-largest professional services network in the world Job Description Position: ML Engineer Job type: Techno-Functional Preferred education qualifications: Bachelor/ Master's degree in computer science, Data Science, Machine Learning OR related technical degree Job location: India Geography: SAPMENA Required experience: 6-8 Years Preferred profile/ skills: 5+ years in developing and deploying enterprise-scale ML solutions [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration), [Mandatory] Proficiency in Data Science/ML algorithms such as regression, classification, clustering, decision trees, random forest, gradient boosting, recommendation, dimensionality reduction [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost) [Mandatory] Prior experience on MLOps with Kubeflow or TFX [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics. [Mandatory] Advanced programming skills with Python and SQL [Mandatory] Prior experience on building scalable ML pipelines & deploying ML models on Google Cloud [Mandatory] Proven expertise in ML pipeline optimization and monitoring the model's performance over time [Mandatory] Proficiency in version control systems such as GitHub Experience with feature engineering optimization and ML model fine tuning is preferred Google Cloud Machine Learning certifications will be a big plus Experience in Beauty or Retail/FMCG industry is preferred Experience in training with large volume of data (>100 GB) Experience in delivering AI-ML projects using Agile methodologies is preferred Proven ability to effectively communicate technical concepts and results to technical & business audiences in a comprehensive manner Proven ability to work proactively and independently to address product requirements and design optimal solutions Fluency in English, strong communication and organizational capabilities; and ability to work in a matrix/ multidisciplinary team Job objectives: Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with product managers, data scientists & analysts to identify innovative & optimal machine learning solutions that leverage data to meet business goals. Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework. Scale the proven ML use-cases across the SAPMENA region. Be responsible for optimal ML costs. Job description: Deep understanding of business/functional needs, problem statements and objectives/success criteria Collaborate with internal and external stakeholders including business, data scientists, project and partners teams in translating business and functional needs into ML problem statements and specific deliverables Develop best-fit end-to-end ML solutions including but not limited to algorithms, models, pipelines, training, inference, testing, performance tuning, deployments Review MVP implementations, provide recommendations and ensure ML best practices and guidelines are followed Act as 'Owner' of end-to-end machine learning systems and their scaling Translate machine learning algorithms into production-level code with distributed training, custom containers and optimal model serving Industrialize end-to-end MLOps life cycle management activities including model registry, pipelines, experiments, feature store, CI-CD-CT-CE with Kubeflow/TFX Accountable for creating, monitoring drifts leveraging continuous evaluation tools and optimizing performance and overall costs Evaluate, establish guidelines, and lead transformation with emerging technologies and practices for Data Science, ML, MLOps, Data Ops The Successful Applicant Position: ML Engineer Job type: Techno-Functional Preferred education qualifications: Bachelor/ Master's degree in computer science, Data Science, Machine Learning OR related technical degree Job location: India Geography: SAPMENA Required experience: 6-8 Years Preferred profile/ skills: 5+ years in developing and deploying enterprise-scale ML solutions [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration), [Mandatory] Proficiency in Data Science/ML algorithms such as regression, classification, clustering, decision trees, random forest, gradient boosting, recommendation, dimensionality reduction [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost) [Mandatory] Prior experience on MLOps with Kubeflow or TFX [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics. [Mandatory] Advanced programming skills with Python and SQL [Mandatory] Prior experience on building scalable ML pipelines & deploying ML models on Google Cloud [Mandatory] Proven expertise in ML pipeline optimization and monitoring the model's performance over time [Mandatory] Proficiency in version control systems such as GitHub Experience with feature engineering optimization and ML model fine tuning is preferred Google Cloud Machine Learning certifications will be a big plus Experience in Beauty or Retail/FMCG industry is preferred Experience in training with large volume of data (>100 GB) Experience in delivering AI-ML projects using Agile methodologies is preferred Proven ability to effectively communicate technical concepts and results to technical & business audiences in a comprehensive manner Proven ability to work proactively and independently to address product requirements and design optimal solutions Fluency in English, strong communication and organizational capabilities; and ability to work in a matrix/ multidisciplinary team Job objectives: Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with product managers, data scientists & analysts to identify innovative & optimal machine learning solutions that leverage data to meet business goals. Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework. Scale the proven ML use-cases across the SAPMENA region. Be responsible for optimal ML costs. Job description: Deep understanding of business/functional needs, problem statements and objectives/success criteria Collaborate with internal and external stakeholders including business, data scientists, project and partners teams in translating business and functional needs into ML problem statements and specific deliverables Develop best-fit end-to-end ML solutions including but not limited to algorithms, models, pipelines, training, inference, testing, performance tuning, deployments Review MVP implementations, provide recommendations and ensure ML best practices and guidelines are followed Act as 'Owner' of end-to-end machine learning systems and their scaling Translate machine learning algorithms into production-level code with distributed training, custom containers and optimal model serving Industrialize end-to-end MLOps life cycle management activities including model registry, pipelines, experiments, feature store, CI-CD-CT-CE with Kubeflow/TFX Accountable for creating, monitoring drifts leveraging continuous evaluation tools and optimizing performance and overall costs Evaluate, establish guidelines, and lead transformation with emerging technologies and practices for Data Science, ML, MLOps, Data Ops What's on Offer Competitive compensation commensurate with role and skill set Medical Insurance Coverage worth of 10 Lacs Social Benifits including PF & Gratuity A fast-paced, growth-oriented environment with the associated (challenges and) rewards Opportunity to grow and develop your own skills and create your future Contact: Anwesha Banerjee Quote job ref: JN-072025-6793565

Scope of the Role: The Principal Data Scientist will lead the architecture, development, and deployment of cutting-edge AI solutions, driving innovation in machine learning, deep learning, and generative AI. The role demands cutting edge expertise in advanced Gen AI development, Agentic AI development, optimization, and integration with enterprise-scale applications while fostering an experimental and forward-thinking environment. This senior level hands-on role offers an immediate opportunity to lead next-gen AI innovation, drive strategic AI initiatives, and shape the future of AI adoption at scale in large enterprise and industry applications. Reports To: Chief AI Officer Reportees: Individual Contributor Role Minimum Qualification: Bachelor’s or Master’s/PhD in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or a related field. Advanced certifications in AI/ML frameworks, GenAI, Agentic AI, cloud AI platforms, or AI ethics preferred. Experience: A minimum of 15+ years of experience in AI/ML, with a proven track record in deploying AI-driven solutions – and deep expertise and specialty in Generative AI (use of proprietary and open source LLMs/ SLMs/ VLMs/ LCMs, experience in RAG, fine tuning and developing derived domain-specific models, multi agent frameworks and agentic architecture, LLMOps) Expertise in implementing the Data Solutions using Python programming, pandas, numpy, sklearn, pytorch, tensorflow, Data Visualizations, Machine Learning Algorithms, Deep Learning architectures, LLMs, SLM, VLM, LCM, generative AI, agents, prompt engineering, NLP, Transformer Architectures, GPTs, Computer Vision, and ML Ops for both unstructured and structured data, synthetic data generation Experience in building generic and customized Conversational AI Assistants Experience working in innovation-driven, research-intensive, or AI R&D-focused organizations. Experience in building AI solutions for Construction or Manufacturing, Oil & Gas industries would be good to have. Objective / Purpose: The Principal Data Scientist will drive breakthrough AI innovation for pan-L&T businesses, by developing the scalable, responsible, and production-ready Gen AI and Agentic AI models using RAG with multi LLMs and derived domain specific models where applicable. This role involves cutting-edge research, model deployment, AI infrastructure optimization, and AI strategy formulation to enhance business capabilities and user experiences. Key Responsibilities: AI Model Development & Deployment: Design, train, and deploy ML/DL models for predictive analytics, NLP, computer vision, generative AI and AI Agents. Applied AI Research & Innovation: Explore emerging AI technologies such as LLMs, RAG (Retrieval-Augmented Generation), fine tuning techniques, multi-modal AI, agentic architectures, reinforcement learning, and self-supervised learning with application-orientation. Model Optimization & Scalability: Optimize AI models for inference efficiency, explainability, and responsible AI compliance. AI Product Integration: Work collaboratively with business teams, data engineers, ML Ops teams, and software developers to integrate AI models into applications, APIs, and cloud platforms. AI Governance & Ethics: Ensure compliance with AI fairness, bias mitigation, and regulatory frameworks (GDPR, CCPA, AI Act). Cross-functional Collaboration: Partner with business teams, UX researchers, and domain experts to align AI solutions with real-world applications. AI Infrastructure & Automation: Develop automated pipelines, Agentic model monitoring, and CI/CD for AI Solutions . Technical Expertise: Machine Learning & Deep Learning: TensorFlow, PyTorch, Scikit-learn, Regression, Classification, clustering, Ensembling techniques – bagging, boosting, recommender systems, Probability distributions and data visualizations Generative AI & LLMs: OpenAI GPT, Google Gemini, Llama, Hugging Face Transformers, RAG, CAG, KAG, knowledge on Other LLMs, SLM, VLM, LCM, Langchain NLP & Speech AI: BERT, T5, Whisper Computer Vision: YOLO, OpenCV, CLIP, Convolutional Neural Networks(CNN). ML Ops & AI Infrastructure: ML flow, Kubeflow, Azure ML. Data Platforms : Databricks, Pinecone, FAISS, Elasticsearch, Semantic Search, Milvus, Weaviate Cloud AI Services: Azure Open AI & Cognitive Services. Explainability & Responsible AI: SHAP, LIME, FairML. Prompt Engineering Publish internal/external research papers, contribute to AI patents, and present at industry conferences and workshops. Evaluate Open-Source AI/ML frameworks and commercial AI products to enhance the organization’s AI capabilities. Behavioural Attributes: Business Acumen – Ability to align AI solutions with business goals. Market Foresight – Identifying AI trends and emerging technologies. Change Management – Driving AI adoption in dynamic environments. Customer Centricity – Designing AI solutions with user impact in mind. Collaborative Leadership – Working cross-functionally with diverse teams. Ability to Drive Innovation & Continuous Improvement – Research-driven AI development. Key Value Drivers: Advancing AI-driven business transformation – securely, optimally and at scale Reducing time-to-value for AI-powered innovations. Enabling AI governance, compliance, and ethical AI adoption. Future Career Path : The future career path will be establishing oneself as a world class SME having deep domain experience and thought leadership around application of next gen AI technologies in the construction, energy and manufacturing domains. Career would progress from technology specialization into leadership roles, in various challenging positions such as Head – AI Strategy and Chief AI Officer, in driving the enterprise AI strategies, governance, and innovation for various ICs/BUs across the pan L&T Businesses.

Join Udemy. Help define the future of learning. Udemy is an AI-powered reskilling platform built to help people and teams grow. It’s personalized, practical, and focused on real-world impact. Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they’re picking up something new or leveling up to stay ahead. Over 80 million learners and 17,000 businesses already learn with Udemy. If you’re excited by change, energized by learning, and ready to have a real impact, you’ll feel right at home. Learn More About Us On Our Company Page. Hybrid work Udemy is headquartered in San Francisco with global offices in Australia, India, Ireland, Türkiye, and other US locations. Our robust hybrid work model spans San Francisco, Denver, Ankara, Dublin, and Melbourne. This hybrid position requires two days per week in the office at the nearest hub. Learn more about us on our company page. About The Role In the Data organization at Udemy, we’re passionate about transforming the future of education using data. We’re looking for fun, collaborative, self-motivated data scientists with an insatiable sense of curiosity and a knack for asking the right questions. About You Our ideal candidate is an analytically creative thinker who is unafraid of ambiguity, has a track record of tackling difficult technical challenges, and has a pragmatic and relentless focus on driving meaningful business impact. We believe in building diverse, collaborative teams in which each person brings unique skills, knowledge, and experience to the table. If this opportunity sounds exciting to you, then read on! At Udemy, data scientists generally belong to one of three career tracks: Insights: Focused on analytics, data visualization, A/B testing, and stakeholder partnership. Inference: Focused on causal or statistical inference for interpretation of data. Algorithms: Focused on machine learning and building production data products. For this posting, we are looking for a Staff Data Scientist in the Insights track to partner with our Globalization pod. The Globalization pod is a collection of teams focused on customizing Udemy’s education products for non-U.S. markets around the globe. In this role, you will work with product managers, designers and engineers to drive data-informed decisions about how we prioritize, drive, and measure our international business goals. Success in this role will require a combination of strong communication and collaboration skills, sharp product sense, a customer-centric mindset, and solid technical data science skills. What You’ll Be Doing Working with the Globalization PMs and Marketing teams to quantify, understand, and prioritize Udemy’s global business and product goals. Drive data-informed decision making within the Globalization pod by equipping PMs and engineers with self-service analytics tools, and conducting ad hoc analyses and causal studies for the team. Build metrics & dashboards for the Globalization product and marketing teams to understand user behaviors, key customer journeys, and help identify challenges and opportunities for the team based on patterns in user data. Build metrics to measure course enrollments, course engagement, and user retention in specific markets, and use those metrics to help brainstorm potential product experiments to drive improvements in them. Help the team establish high-quality eventing to allow the tracking of detailed user behaviors along customer journeys through Udemy’s products. Work with the team to develop a rich program of experimentation and A/B testing to improve learner experiences in all of Udemy’s products within key international markets. Help PMs and engineers understand differences in local learner consumption patterns and user behaviors in various global markets. Serve as the data science subject matter expert for the team, and help drive the product analytics roadmap within the Globalization pod. Serve as technical lead on all work related to user journeys, growth, and conversion. Influence product prioritization and key business decisions through data-driven insights. Define metrics and build operational dashboards to track business and product health. Design and analyze randomized controlled experiments (A/B tests). Develop robust data pipelines and continuously improve the quality and accessibility of data. Build Udemy’s technical brand through talks, blog posts, and publications. Take responsibility for leading major team initiatives, and independently driving a product-focused roadmap for your data science work. What you'll have Demonstrated track record leading major data science or analytics team projects in prior roles. 5+ years of relevant hands-on experience in product or business analytics roles. Ability to communicate effectively with both technical and non-technical stakeholders in writing and verbally. Strong business intuition and judgment, and experience applying prioritization frameworks to your work (e.g., RICE, Eisenhower matrix). Exceptional data storytelling and data visualization ability. Experience with Mode and/or Tableau is a plus. Broad knowledge of applied statistics, experimental design, and analysis of A/B tests. Expert SQL ability and proficiency with 1+ programming languages (e.g., Python). Experience building automated big data pipelines using tools like Spark, Airflow, and dbt. Master’s degree or above in data science, computer science, statistics, or other quantitative field (such as economics, political science, or engineering). Ability and willingness to work autonomously, relentlessly prioritize, and collaborate with team members in U.S. time zones as well as locally in India. Why work here? You’ll grow here. Learning is part of the job. You’ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. Many people are diving into AI lately, but what you focus on is up to you. AI is real here. We use it in the way we learn and the way we work. You’ll have the space and tools to experiment, apply, and get better at using AI in practical ways. You’ll own your work. We trust people to lead, make decisions, and follow through. You don’t need to wait for permission or layers of approval to have an impact. You’ll Build With Others. We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction. You’ll see your impact. What you build helps people grow their skills, change their careers, or find a path forward. You’ve got the experience, why not use it to help others gain theirs? Bring your curiosity. We’ll bring the platform and the support. Let’s LEARN together. Our Benefits Start with U Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our US Benefits, Ireland Benefits & Turkiye Benefits pages to get an understanding of some of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring process. Benefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies. At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you! Information regarding data privacy is available within the Udemy Careers Privacy Notice.

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. Senior Technical Program Manager - AI Our Corporate Functions include teams that power Expedia Group behind the scenes—from Finance and Legal to People, Platform, and Technology. The Traveler and Partner Service Platform (TPSP) organization builds the systems that enable travelers and partners to get timely, effective support across Expedia Group. We power customer service, sales support, agent tools, and contact center platforms—driving intelligent, scalable solutions through automation, AI, and system integrations. We’re looking for a Senior Technical Program Manager to lead high-impact, AI-focused programs that enhance service and sales experiences across traveler and partner journeys. You’ll drive initiatives that bring LLMs, real-time inference, and automation into platforms like Salesforce Service Cloud and AWS Connect—partnering across Machine Learning, Engineering, Product, and Data teams. This is a high-visibility role with long-term impact across Expedia Group domains, enabling AI adoption at scale and improving how we support and engage our global customers and partners. In This Role, You Will Drive the end-to-end delivery of AI-powered initiatives—from initial concept through production deployment and enterprise-wide scaling Lead programs delivering AI voice, chat, and agent-assist solutions using a mix of third-party tools, internal tech stacks, and bring-your-own (BYO) ML models Partner with ML Engineering teams to define requirements for LLM integration, real-time inference, and knowledge base optimization Work with Data Science teams to define model performance benchmarks, build experimentation frameworks (A/B testing), and support continuous improvement Coordinate AI integrations with Salesforce Service Cloud (OneDesk), including case management, knowledge management, omni-channel routing (Salesforce + AWS Connect), and tools like Einstein for Service, Agentforce, and Amazon Q/Bedrock Collaborate with internal engineering teams responsible for travel systems (booking, reservations, payments, loyalty) and service data platforms to enable seamless integration Balance technical innovation with legacy system constraints, managing integration complexity and technical debt while enabling modernization Engage with internal platform and vendor partners to ensure architecture alignment and solution scalability Develop and maintain detailed program plans, managing milestones, dependencies, risks, and resources across parallel workstreams Partner with Workstream Program Management and jointly provide executive and operational stakeholders with transparent communication on program progress, trade-offs, and risk mitigation Drive operational readiness and organizational change management to support AI adoption and successful deployments, adhering to and evolving established tenets, standards, and best practices Ensure disciplined TPM practice by managing AI program pipelines against highest business priorities, maximizing engineering capacity, resolving defects within SLA, supporting KTLO and infrastructure initiatives, and fostering deep partnerships with engineering managers and developers Continuously improve program management processes, delivery frameworks, and cross-functional collaboration models Experience And Qualifications 10+ years of experience in Information Technology, with at least 5 years in technical program management roles driving cross-functional initiatives Proven track record managing large-scale AI/ML programs in production environments, especially in customer-facing or enterprise systems Experience delivering LLM-based solutions, conversational AI, or intelligent automation projects Deep understanding of the AI model lifecycle: training, validation, deployment, monitoring, and continuous iteration Experience with AI platform architecture decisions, scalable API design, and real-time inference systems Strong background in machine learning concepts, natural language processing (NLP), and generative AI technologies Understanding of data pipeline architectures, streaming data, ETL pipelines, data lakes, and cloud platforms (SQL proficiency a plus) Track record of delivering AI solutions that integrate with complex enterprise systems such as CRM, telephony, or knowledge management platforms Experience with enterprise-level incident management, operational readiness, and risk mitigation strategies Excellent communication and stakeholder management skills, with the ability to translate technical complexity into executive-level narratives Strong organizational, documentation, and planning skills; ability to manage multiple concurrent priorities with clarity 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.

Title : Senior Data Scientist Location : Gurgaon (Hybrid mode 2 days working from office and 3 days working from home every week) Company Profile NPS Prism is a market-leading, cloud-based CX benchmarking and operational improvement platform owned by Bain & Company. NPS Prism provides its customers with actionable insights and analysis that guide the creation of game-changing customer experiences. Based on rock-solid sampling, research, and analytic methodology, it lets customers see how they compare to their competitors on overall NPS, and on every step of the customer journey. With NPS Prism you can see where youre strong, where you lag, and how customers feel about doing business with you and your competitors, in their own words. The result : Prioritize the customer interactions that matter most. NPS Prism customers use our customer experience benchmarks and insights to propel their growth and outpace the competition. Launched in 2019, NPS Prism has rapidly grown to a team of over 200, serving dozens of clients around the world. NPS Prism is 100% owned by Bain & Company, one of the top management consulting firms in the world and a company consistently recognized as one of the worlds best places to work. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. Position Summary NPS Prism has experienced tremendous growth as a standalone software and data business over the past few years and is making the leap from being a consulting-led business to a technology-led business. Given that shift, we are looking to build our team with world-class team members to help drive business growth to its full potential in this next phase. This is a great opportunity to help build the largest startup owned by Bain & Company and take NPS Prism into the future. Key Responsibilities Act as a mentor, guiding and coaching junior Data Scientists in technical and storytelling aspects. Lead the development, deployment, and adoption of open source LLM models to do text classification, building sentiment models. Lead the development, deployment, and adoption of causal inference models to measure marketing campaigns, optimizing investments across short and longterm business objectives. Collaborate with Data Engineering, Product and Technology teams on further build out of analytics architecture. Take ownership of end-to-end projects, operating where there's a high degree of ambiguity, and delivering results within ambitious timelines Translate insights into relevant business recommendations, anticipating the needs of business stakeholders. Research prior work to inform and develop models and algorithms and quantify appropriate metrics & targets Education Required Qualifications, Experience & Skills : Bachelor's degree in computer science or Equivalent experience Experience 6 to 10 years Data Science experience covering ML, DL and GenAI 2+ years of experience building end-to-end data science applications using dash, Flask, Streamlit and Django etc. (Preferred) Skills Experience with building end-to-end data science applications Experience with NLP and LLM fine tuning Experience with cultural transformation to CI/CD and MLOps Experience with Azure MLOps or other SDLC tools Experience with Agile methodologies Experience building applications using fast APIs. Experience in a start-up, fast-growth, rapid-change environment Must be self-motivated, dedicated to quality and must always strive to do the right thing Preferred Qualifications Experience with HTML, CSS, JavaScript, version control using Git. Experience with Containers and Kubernetes Experience with TensorFlow, Pytorch etc. (ref:hirist.tech)

As an AI intern at Atomo Innovation PVT Ltd, you will have the exciting opportunity to work with cutting-edge technologies and contribute to innovative projects that are shaping the future. We are looking for a passionate individual who is well-versed in Python, Data Structures, Data Science, Machine Learning, NLP, Neural Networks, AI, and Deep Learning. Selected Intern's Day-to-day Responsibilities Include Assist in the development and implementation of AI algorithms and models. Conduct research and analysis to improve existing AI systems. Collaborate with the team to brainstorm and problem-solve for AI solutions. Work on data preprocessing and cleaning for AI projects. Support the implementation of NLP techniques for text analysis. Participate in training and testing of neural networks for various tasks. Stay updated with the latest trends and advancements in AI technology. If you are a motivated individual with a passion for AI and a desire to gain valuable hands-on experience in the field, then this internship opportunity at Atomo Innovation PVT Ltd is perfect for you. Join us in pushing the boundaries of AI innovation and making a meaningful impact on the world. About Company: Atomo Innovation Pvt. Ltd., an Indian deep-tech company developing low-power, modular edge computing devices integrated with onboard Neural Processing Unit (NPU) and multi-protocol support including BLE, Zigbee, Wi-Fi, RF, IR, Thread, and Matter. Our innovation combines efficient hardware with a lightweight operating system, AtomicOS, optimized for secure, real-time decision-making and edge-level AI inference.

As an AI intern at Atomo Innovation PVT Ltd, you will have the exciting opportunity to work with cutting-edge technologies and contribute to innovative projects that are shaping the future. We are looking for a passionate individual who is well-versed in Python, Data Structures, Data Science, Machine Learning, NLP, Neural Networks, AI, and Deep Learning. Selected Intern's Day-to-day Responsibilities Include Assist in the development and implementation of AI algorithms and models. Conduct research and analysis to improve existing AI systems. Collaborate with the team to brainstorm and problem-solve for AI solutions. Work on data preprocessing and cleaning for AI projects. Support the implementation of NLP techniques for text analysis. Participate in training and testing of neural networks for various tasks. Stay updated with the latest trends and advancements in AI technology. If you are a motivated individual with a passion for AI and a desire to gain valuable hands-on experience in the field, then this internship opportunity at Atomo Innovation PVT Ltd is perfect for you. Join us in pushing the boundaries of AI innovation and making a meaningful impact on the world. About Company: Atomo Innovation Pvt. Ltd., an Indian deep-tech company developing low-power, modular edge computing devices integrated with onboard Neural Processing Unit (NPU) and multi-protocol support including BLE, Zigbee, Wi-Fi, RF, IR, Thread, and Matter. Our innovation combines efficient hardware with a lightweight operating system, AtomicOS, optimized for secure, real-time decision-making and edge-level AI inference.

As an AI intern at Atomo Innovation PVT Ltd, you will have the exciting opportunity to work with cutting-edge technologies and contribute to innovative projects that are shaping the future. We are looking for a passionate individual who is well-versed in Python, Data Structures, Data Science, Machine Learning, NLP, Neural Networks, AI, and Deep Learning. Selected Intern's Day-to-day Responsibilities Include Assist in the development and implementation of AI algorithms and models. Conduct research and analysis to improve existing AI systems. Collaborate with the team to brainstorm and problem-solve for AI solutions. Work on data preprocessing and cleaning for AI projects. Support the implementation of NLP techniques for text analysis. Participate in training and testing of neural networks for various tasks. Stay updated with the latest trends and advancements in AI technology. If you are a motivated individual with a passion for AI and a desire to gain valuable hands-on experience in the field, then this internship opportunity at Atomo Innovation PVT Ltd is perfect for you. Join us in pushing the boundaries of AI innovation and making a meaningful impact on the world. About Company: Atomo Innovation Pvt. Ltd., an Indian deep-tech company developing low-power, modular edge computing devices integrated with onboard Neural Processing Unit (NPU) and multi-protocol support including BLE, Zigbee, Wi-Fi, RF, IR, Thread, and Matter. Our innovation combines efficient hardware with a lightweight operating system, AtomicOS, optimized for secure, real-time decision-making and edge-level AI inference.

As an AI intern at Atomo Innovation PVT Ltd, you will have the exciting opportunity to work with cutting-edge technologies and contribute to innovative projects that are shaping the future. We are looking for a passionate individual who is well-versed in Python, Data Structures, Data Science, Machine Learning, NLP, Neural Networks, AI, and Deep Learning. Selected Intern's Day-to-day Responsibilities Include Assist in the development and implementation of AI algorithms and models. Conduct research and analysis to improve existing AI systems. Collaborate with the team to brainstorm and problem-solve for AI solutions. Work on data preprocessing and cleaning for AI projects. Support the implementation of NLP techniques for text analysis. Participate in training and testing of neural networks for various tasks. Stay updated with the latest trends and advancements in AI technology. If you are a motivated individual with a passion for AI and a desire to gain valuable hands-on experience in the field, then this internship opportunity at Atomo Innovation PVT Ltd is perfect for you. Join us in pushing the boundaries of AI innovation and making a meaningful impact on the world. About Company: Atomo Innovation Pvt. Ltd., an Indian deep-tech company developing low-power, modular edge computing devices integrated with onboard Neural Processing Unit (NPU) and multi-protocol support including BLE, Zigbee, Wi-Fi, RF, IR, Thread, and Matter. Our innovation combines efficient hardware with a lightweight operating system, AtomicOS, optimized for secure, real-time decision-making and edge-level AI inference.