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Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Design and implement complex AI/ML models and algorithms Collaborate with data scientists to preprocess, analyze, and interpret large datasets Develop and maintain scalable and robust machine learning frameworks Integrate AI/ML solutions into products and develop new innovative features Perform model testing, validation, and optimization Deploy machine learning models into production environments Stay up-to-date with the latest advancements in AI/ML technologies and practices Mentor junior team members and provide technical guidance Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field 5+ years of experience in software engineering with a focus on AI/ML Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar Experience with data preprocessing and analysis Solid programming skills in Python, Java, or C++ Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure) Hands-on technical skill Proven excellent problem-solving skills and the ability to think algorithmically Proven solid communication and teamwork abilities Skills Machine Learning Deep Learning TensorFlow PyTorch Python Java C++ Data Analysis Algorithm Design AWS Google Cloud Model Deployment Big Data Technologies Version Control (Git) At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

About The Role Grade Level (for internal use): 08 The Role: Implementation Engineer The Team The Portfolio Analytics (PA) Application Support team is responsible for onboarding and supporting clients on the Capital IQ platform. Historically focused on manual ingestion workflows and reactive troubleshooting, the team is now evolving to take on a more technical, proactive, and scalable approach. This role will be key in driving that transformation – building automation, scripting ingestion processes, and supporting API-based integrations. The Impact This is not just another support role. You will be part of the team’s next chapter – helping shift from manual operations to automated, scalable solutions . Your technical contributions will improve the client onboarding experience, reduce turnaround time, enhance data accuracy, and free up the team to focus on more strategic tasks. You’ll work across client use cases, internal tooling, and automation pipelines – directly shaping the future of support within Portfolio Analytics. Responsibilities Support client onboarding by implementing batch ingestion jobs and API integrations Develop and maintain Python scripts for data preprocessing and validation workflows Help automate recurring ingestion tasks, moving away from manual interventions Troubleshoot ingestion or integration issues by working across data, scripts, and scheduling systems Build internal tools and reusable components to support ingestion and workflow scalability Collaborate with Product and Engineering on testing and deploying new ingestion features Maintain technical documentation to standardize and scale implementation support Partner with client-facing teams to deeply understand use cases and deliver technical solutions What We’re Looking For 0–2 years of experience in a technical role (support, implementation, automation, or scripting) Proficiency or strong familiarity with Python and basic scripting logic Understanding of REST APIs and data formats such as JSON, CSV, Excel Exposure to SQL or file-based data manipulation tools (e.g., pandas, shell scripts) Interest in solving operational problems through automation and process improvement Ability to learn financial data structures such as portfolios, benchmarks, and securities Strong analytical and troubleshooting skills, with excellent attention to detail Bachelor’s degree in Computer Science, Engineering, or a related discipline Why This Role Matters Now As we scale Portfolio Analytics across a growing client base, ingestion and automation will be at the core of our success. This role is an opportunity to join that journey early – helping redefine how support is delivered and building the technical foundation for what comes next. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH203 - Entry Professional (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 312027 Posted On: 2025-07-01 Location: Gurgaon, India

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in AI and machine learning. - Continuously evaluate and implement new technologies to improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of various machine learning algorithms and their applications. - Experience with cloud-based AI services and deployment strategies. - Familiarity with programming languages such as Python or R for data analysis and model development. - Knowledge of data preprocessing techniques to ensure high-quality input for machine learning models. Additional Information: - The candidate should have minimum 7.5 years of experience in Machine Learning. - This position is based at our Bengaluru office. - A 15 years full time education is required. 15 years full time education

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Principal / Senior Systems Performance Engineer Micron Data Center and Client Workload Engineering in Hyderabad, India, is seeking a senior/principal engineer to join our dynamic team. The successful candidate will primarily contribute to the ML development, ML DevOps, HBM program in the data center by analyzing how AI/ML workloads perform on the latest MU-HBM, Micron main memory, expansion memory and near memory (HBM/LP) solutions, conduct competitive analysis, showcase the benefits that workloads see with MU-HBM’s capacity / bandwidth / thermals, contribute to marketing collateral, and extract AI/ML workload traces to help optimize future HBM designs. Job Responsibilities: The Job Responsibilities include but are not limited to the following: Design, implement, and maintain scalable & reliable ML infrastructure and pipelines. Collaborate with data scientists and ML engineers to deploy machine learning models into production environments. Automate and optimize ML workflows, including data preprocessing, model training, evaluation, and deployment. Monitor and manage the performance, reliability, and scalability of ML systems. Troubleshoot and resolve issues related to ML infrastructure and deployments. Implement and manage distributed training and inference solutions to enhance model performance and scalability. Utilize DeepSpeed, TensorRT, vLLM for optimizing and accelerating AI inference and training processes. Understand key care abouts when it comes to ML models such as: transformer architectures, precision, quantization, distillation, attention span & KV cache, MoE, etc. Build workload memory access traces from AI models. Study system balance ratios for DRAM to HBM in terms of capacity and bandwidth to understand and model TCO. Study data movement between CPU, GPU and the associated memory subsystems (DDR, HBM) in heterogeneous system architectures via connectivity such as PCIe/NVLINK/Infinity Fabric to understand the bottlenecks in data movement for different workloads. Develop an automated testing framework through scripting. Customer engagements and conference presentations to showcase findings and develop whitepapers. Requirements: Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience in data preparation: cleaning, splitting, and transforming data for training, validation, and testing. Proficiency in model training and development: creating and training machine learning models. Expertise in model evaluation: testing models to assess their performance. Skills in model deployment: launching server, live inference, batched inference Experience with AI inference and distributed training techniques. Strong foundation in GPU and CPU processor architecture Familiarity with and knowledge of server system memory (DRAM) Strong experience with benchmarking and performance analysis Strong software development skills using leading scripting, programming languages and technologies (Python, CUDA, C, C++) Familiarity with PCIe and NVLINK connectivity Preferred Qualifications: Experience in quickly building AI workflows: building pipelines and model workflows to design, deploy, and manage consistent model delivery. Ability to easily deploy models anywhere: using managed endpoints to deploy models and workflows across accessible CPU and GPU machines. Understanding of MLOps: the overarching concept covering the core tools, processes, and best practices for end-to-end machine learning system development and operations in production. Knowledge of GenAIOps: extending MLOps to develop and operationalize generative AI solutions, including the management of and interaction with a foundation model. Familiarity with LLMOps: focused specifically on developing and productionizing LLM-based solutions. Experience with RAGOps: focusing on the delivery and operation of RAGs, considered the ultimate reference architecture for generative AI and LLMs. Data management: collect, ingest, store, process, and label data for training and evaluation. Configure role-based access control; dataset search, browsing, and exploration; data provenance tracking, data logging, dataset versioning, metadata indexing, data quality validation, dataset cards, and dashboards for data visualization. Workflow and pipeline management: work with cloud resources or a local workstation; connect data preparation, model training, model evaluation, model optimization, and model deployment steps into an end-to-end automated and scalable workflow combining data and compute. Model management: train, evaluate, and optimize models for production; store and version models along with their model cards in a centralized model registry; assess model risks, and ensure compliance with standards. Experiment management and observability: track and compare different machine learning model experiments, including changes in training data, models, and hyperparameters. Automatically search the space of possible model architectures and hyperparameters for a given model architecture; analyze model performance during inference, monitor model inputs and outputs for concept drift. Synthetic data management: extend data management with a new native generative AI capability. Generate synthetic training data through domain randomization to increase transfer learning capabilities. Declaratively define and generate edge cases to evaluate, validate, and certify model accuracy and robustness. Embedding management: represent data samples of any modality as dense multi-dimensional embedding vectors; generate, store, and version embeddings in a vector database. Visualize embeddings for improvised exploration. Find relevant contextual information through vector similarity search for RAGs. Education: Bachelor’s or higher (with 12+ years of experience) in Computer Science or related field. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Gurgaon, India R&D 48747 Regular No Full Time (F) <10% India Job Description Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. We are seeking a passionate and skilled AI Engineer with 0-2 years of exerience to join our R&D team, focusing on the design, development, and deployment of intelligent chatbot systems and robust data engineering pipelines. This role bridges conversational AI and data infrastructure, enabling scalable, intelligent digital assistants that enhance user experience and operational efficiency. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities Key Responsibilities Chatbot Design & Development Design, develop, and deploy AI-powered chatbots using NLP and LLM frameworks (e.g., Open Source, Rasa, Dialogflow, OpenAI, Azure Bot Framework). Collaborate with UX and product teams to define conversational flows and user intents. Continuously improve chatbot performance through user feedback, analytics, and retraining cycles. Ensure chatbot compliance with data privacy and governance standards. Data Engineering Build and maintain scalable data pipelines to support chatbot training and analytics. Integrate structured and unstructured data from multiple sources (e.g., APIs, databases, logs). Implement data preprocessing, transformation, and storage strategies optimized for AI/ML workloads. Collaborate with data scientists to ensure data readiness for model training and evaluation. Qualifications Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI/ML, or related field. 0-2 years of experience in AI/ML engineering or data engineering roles. Proficiency in Python and familiarity with Java or Scala. Strong software development and collaboration skills. Experience with NLP libraries (e.g., spaCy, Hugging Face Transformers) and chatbot platforms. Hands-on experience with data pipeline tools (e.g., Apache Airflow, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Strong understanding of data modeling, ETL processes, and data governance. Preferred Skills Exposure to MLOps practices and tools (e.g., MLflow, Kubeflow). Experience with LLM fine-tuning and prompt engineering. Knowledge of RESTful APIs and microservices architecture. Familiarity with analytics dashboards and chatbot performance metrics. Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. We are seeking a passionate and skilled AI Engineer with 0-2 years of exerience to join our R&D team, focusing on the design, development, and deployment of intelligent chatbot systems and robust data engineering pipelines. This role bridges conversational AI and data infrastructure, enabling scalable, intelligent digital assistants that enhance user experience and operational efficiency. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities Key Responsibilities Chatbot Design & Development Design, develop, and deploy AI-powered chatbots using NLP and LLM frameworks (e.g., Open Source, Rasa, Dialogflow, OpenAI, Azure Bot Framework). Collaborate with UX and product teams to define conversational flows and user intents. Continuously improve chatbot performance through user feedback, analytics, and retraining cycles. Ensure chatbot compliance with data privacy and governance standards. Data Engineering Build and maintain scalable data pipelines to support chatbot training and analytics. Integrate structured and unstructured data from multiple sources (e.g., APIs, databases, logs). Implement data preprocessing, transformation, and storage strategies optimized for AI/ML workloads. Collaborate with data scientists to ensure data readiness for model training and evaluation. Qualifications Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI/ML, or related field. 0-2 years of experience in AI/ML engineering or data engineering roles. Proficiency in Python and familiarity with Java or Scala. Strong software development and collaboration skills. Experience with NLP libraries (e.g., spaCy, Hugging Face Transformers) and chatbot platforms. Hands-on experience with data pipeline tools (e.g., Apache Airflow, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Strong understanding of data modeling, ETL processes, and data governance. Preferred Skills Exposure to MLOps practices and tools (e.g., MLflow, Kubeflow). Experience with LLM fine-tuning and prompt engineering. Knowledge of RESTful APIs and microservices architecture. Familiarity with analytics dashboards and chatbot performance metrics. Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Job Title: Lead AI/ML Engineer / Data Scientist (GIS & Image Processing) Location: Pune Experience: 4+ Years Employment Type: Full-Time Highly motivated and experienced Lead AI/ML Engineer or Data Scientist with deep expertise in GIS and/or Image Processing to architect and drive our AI initiatives. You will lead a team of engineers and data scientists, define technical direction, and deliver scalable, production-grade solutions for image and geospatial intelligence applications. Key Responsibilities: Lead the design, development, and deployment of AI/ML models for image and geospatial data processing. Architect end-to-end pipelines, from data ingestion and preprocessing to model deployment and monitoring. Work hands-on with geospatial datasets (satellite imagery, drone data, maps) and apply advanced image processing and computer vision techniques. Guide and mentor a team of junior and mid-level engineers/data scientists. Collaborate with product managers, domain experts, and stakeholders to align technical solutions with business goals. Review and improve model performance, scalability, and robustness through continuous evaluation and tuning. Ensure best practices in coding, model management, MLOps, and documentation. Stay up to date with the latest trends in AI, GIS, and image analytics, and bring innovative ideas into the team. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Geoinformatics or related fields. PhD is a plus. 6+ years of experience in AI/ML or Data Science roles with a strong focus on image processing or GIS. Proficient in Python, ML/DL frameworks (TensorFlow, PyTorch), and image processing libraries (OpenCV, scikit-image, PIL). Hands-on experience with geospatial tools and libraries (QGIS, GDAL, Geopandas, ArcGIS, rasterio). Proven track record in leading AI/ML projects and delivering production-grade systems. Experience with cloud infrastructure (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes). Strong understanding of geospatial data formats, coordinate systems, and remote sensing concepts. Preferred Skills : Experience with deep learning models for segmentation (e.g., UNet, Mask R-CNN) or object detection (YOLO, Faster R-CNN). Knowledge of satellite/drone data sources and preprocessing workflows. Familiarity with MLOps practices and tools like MLflow, Airflow, or Kubeflow. Exposure to data privacy, ethical AI, and regulatory compliance in geospatial applications. Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,400,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Experience: AI/ML: 6 years (Preferred) Work Location: In person

JOB SUMMARY We are looking for a passionate and skilled PYTHON DEVELOPER with experience in AI/ML to join our growing engineering team. The candidate is required to look on building intelligent solutions, developing data pipelines and deploying machine learning models that power real-world applications. KEY RESPONSIBILITIES ◾Design, develop, and optimize Python-based backend systems and ML workflows. ◾Build and train machine learning models using libraries like Scikit-learn, TensorFlow, or PyTorch. ◾Work on data ingestion, cleaning, preprocessing, and model evaluation. ◾Implement RESTful APIs to serve AI/ML model outputs. ◾Collaborate with data scientists, frontend developers, and DevOps for model deployment. ◾Write clean, efficient, and scalable code with proper documentation. ◾Continuously improve system performance and accuracy via retraining, tuning, and feedback loops. REQUIRED SKILLS & QUALIFICATIONS ◾Bachelor’s or master’s in computer science, Engineering, or related field. ◾1-2 years of hands-on experience in Python development.Solid understanding of machine learning algorithms and data structures. ◾Experience with ML libraries like: ◾Knowledge of model deployment (Flask/Fast API, Docker preferred). ◾Experience working with version control (Git) and cloud services (AWS/GCP/Azure) is a plus. ◾Strong problem-solving and communication skills. ADDITIONAL PREFERRED SKILLS ✔ Experience with ML Ops or AutoML pipelines. ✔ Familiarity with NLP, computer vision, or time-series forecasting. ✔ Knowledge of SQL/NoSQL databases and data warehousing tools. ✔ Exposure to data visualization tools (e.g., Matplotlib, Seaborn, Plotly). Job Type: Full-time Pay: ₹25,000.00 - ₹35,000.00 per month Benefits: Flexible schedule Schedule: Day shift Fixed shift Monday to Friday Application Question(s): Immediate Joiner Work Location: In person

🏢 About Us We build cutting-edge, next-generation AI products designed to simplify and enhance everyday experiences. Our mission is to apply the latest in computer vision and deep learning to create seamless, intelligent tools that deliver real-world impact at scale. 🧠 Role Description We’re developing a powerful document scanning app and are looking for a talented Senior Computer Vision/OpenCV Engineer to help us build AI-driven document enhancement filters, similar to CamScanner’s Magic Pro Filter etc. This is an exciting opportunity for someone passionate about transforming traditional visual processing into lightweight, production-ready AI systems - especially for mobile platforms like Android/iOS. 🎯 Responsibilities As part of this role, you will: Remove document shadows Enhance brightness & contrast Preserve original colors where needed Output clean, high-quality black & white scans Build and optimize a TFLite model with inference time under 1.5 seconds Write efficient pre- and post-processing logic using OpenCV and lightweight ML Build more Ai models around document scanning enhancement usecases Deliver well-documented, clean code ready for mobile deployment Work closely with our Android team to support seamless integration ✅ Requirements 3+ years experience in Computer Vision, Image Processing, and OpenCV Solid background in building and deploying TensorFlow Lite (TFLite) models for Android Strong understanding of model optimization and mobile inference speed Ability to deliver visually sharp, fast, and robust filters Experience replicating or improving filters from apps like CamScanner is a strong plus 🌟 Nice to Have Android app integration experience (Java/Kotlin + native CV/ML) Experience with hybrid CV + CNN filter design Knowledge of GANs or advanced enhancement models Familiarity with OCR-related preprocessing pipelines 🔍 What We’re Looking For We’re aiming to develop the visual quality and real-time performance of CamScanner Magic Pro Filter - delivering clean, vibrant, and professional document scans. 🚀 Why Join Us? Be part of a fast-moving AI product team Solve real-world visual problems used by 300K+ users Work on cutting-edge vision pipelines and deploy at scale Flexible, remote-first collaboration 📩 Interested? If this sounds like a great fit, we’d love to connect! Please share your portfolio, GitHub, or any relevant past work you’ve done in this space.

This role is for one of Weekday's clients Min Experience: 0 years Location: Bengaluru JobType: full-time Requirements About the Role: We are seeking a motivated and passionate Machine Learning Engineer to join our growing AI/ML team. This is an excellent opportunity for recent graduates or early-career professionals to work on real-world applications of Machine Learning (ML) , Artificial Intelligence (AI) , and Natural Language Processing (NLP) technologies. You'll be part of a team that builds intelligent systems to solve complex problems and deliver value to our customers across domains. If you're a self-starter who's eager to apply theoretical knowledge into practice, experiment with state-of-the-art tools like TensorFlow , and work collaboratively on challenging problems in NLP and AI, this role is for you. Key Responsibilities: Assist in the development, training, and evaluation of machine learning models using Python and libraries such as TensorFlow and Scikit-learn. Support data collection, preprocessing, and transformation tasks to build robust ML pipelines. Collaborate with data scientists, software engineers, and product teams to understand problem requirements and deliver ML-based solutions. Work on natural language processing tasks such as text classification, sentiment analysis, named entity recognition, and language modeling. Implement ML models into production environments and monitor model performance. Conduct research and stay updated with the latest developments in AI/ML and NLP. Optimize and tune models for accuracy, speed, and scalability. Prepare documentation, reports, and presentations to communicate results and findings to stakeholders. Required Skills: Basic understanding of machine learning concepts such as supervised/unsupervised learning, classification, regression, and clustering. Familiarity with Python programming and common ML libraries like TensorFlow, Keras, Scikit-learn, and Pandas. Exposure to natural language processing (NLP) tasks and basic algorithms. Understanding of data preprocessing, feature engineering, and model evaluation techniques. Enthusiasm to learn and work with deep learning models and frameworks. Strong analytical thinking and problem-solving skills. Good communication skills and the ability to work in a collaborative environment. Nice to Have: Internship or project experience in ML, AI, or NLP. Knowledge of neural networks, RNNs, CNNs, or transformer models like BERT or GPT. Experience working with large datasets or on cloud platforms such as AWS, GCP, or Azure. Understanding of version control (Git) and deployment tools (Docker, MLflow, etc.). Participation in ML competitions (e.g., Kaggle) or open-source contributions. Educational Qualification: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field.

Area(s) of responsibility Coding and Development: Write clean, using autogen and crew.ai frameworks efficient, and maintainable code for GenAI applications using Python and open-source frameworks. Fine-Tuning Models: Fine-tune LLMs and SLMs using techniques like PEFT, LoRA, and QLoRA for specific use cases. Open-Source Frameworks: Work with frameworks like Hugging Face, LangChain, LlamaIndex, and others to build GenAI solutions. Cloud Tools Integration: Use cloud platforms (Azure, GCP, AWS) to deploy and manage GenAI models and applications. Prototyping: Quickly prototype and demonstrate GenAI applications to showcase capabilities and gather feedback. Data Preprocessing: Build and maintain data preprocessing pipelines for training and fine-tuning models. API Integration: Integrate REST, SOAP, and other APIs for data ingestion, processing, and output delivery. Model Evaluation: Evaluate model performance using metrics and benchmarks, and iterate to improve results.

Area(s) of responsibility About Us Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities. Location: Any BSL Location Job Description Bachelor/master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field with 15+ years of experience 2+ years of experience in developing and implementing Generative AI models, with a strong understanding of techniques such as GPT, T5 and BERT Experience with LLMs OpenAI GPT and others Experience in latest GenAI application development frameworks Project management and governance experience preferred. Candidates with Technical and management skills given stronger preference. Life sciences experience preferred. Experience with handling customers at SLT and VP level. Proficiency in Python and have 8+ years of experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras Experience in developing Fast API and documentations Experience working with SQL, NoSQL, Elastic, Files etc. Strong knowledge of data structures, algorithms, and software engineering principles Familiarity with cloud-based platforms and services, such as AWS (must), GCP, or Azure 8+ years of experience with advanced natural language processing ( NLP ) techniques and tools, such as SpaCy, NLTK, or Hugging Face Familiarity with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly Significant experience architecting cutting-edge MLOps systems in enterprise environments Knowledge of software development methodologies, such as Agile or Scrum Excellent problem-solving skills , with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills , with the ability to effectively convey complex technical concepts to a diverse audience Proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Able to execute thought leadership. Responsibilities Design, develop, and implement Generative AI models and algorithms, using techniques such as GPT, T5, BERT Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals Conduct research to stay up-to-date with the latest advancements in Generative AI , machine learning, and deep learning techniques, and identify opportunities to integrate them into customer products and services Optimize Generative AI models for improved performance, scalability, and efficiency Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation Contribute to the establishment of best practices and standards for Generative AI development within the organization

Company Description TrueFan uses proprietary AI technology to connect fans and celebrities and is now focused on revolutionizing customer-business interactions with AI-powered personalized video solutions. Our platform enables brands to create unique, engaging video experiences that drive customer loyalty and deeper connections. Job Description DevOps with MLOps Engineer Company Overview We are a cutting-edge AI company focused on developing advanced lip-syncing technology using deep neural networks. Our solutions enable seamless synchronisation of speech with facial movements in videos, creating hyper-realistic content for various industries such as entertainment, marketing, and more. Position: MLOps Engineer We are looking for a talented and motivated MLOps Engineer to join our team. The ideal candidate will play a crucial role in managing and scaling our machine learning models and infrastructure, enabling seamless deployment and automation of our lip-sync video generation systems. Key Responsibilities Model Training/Deployment Pipelines and Monitoring: Design, implement, and maintain scalable and automated pipelines for deploying deep neural network models. Monitor and manage Production models, ensuring high availability, low latency, and smooth performance. Automate workflows for data preprocessing (face alignment, feature extraction, audio analysis), model retraining, and video generation. Implement Logging, Tracking, and Monitoring Systems to ensure data integrity and visibility into the model lifecycle. Infrastructure Management: Build and manage cloud-based infrastructure (AWS, GCP, or Azure) for efficient model training, deployment, and data storage. Collaborate with DevOps to manage containerization (Docker, Kubernetes) and ensure robust CI/CD pipelines using github and jenkins for model delivery. Monitor resource for GPU/ CPU-intensive tasks like video processing, model inference, and training using Prometheus , Grafana, alert manager, ELK stack. Collaboration: Work closely with ML engineers to integrate models into production pipelines. Provide tools and frameworks for rapid experimentation and model versioning. Required Skills Basic Python Strong experience with cloud platforms (AWS, GCP, Azure) and cloud-based machine learning services. Expert knowledge of containerization technologies (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation) Have understanding of Deployment of both synchronous and asynchronous API using Flask, Django, Celery, Redis, RabbitMQ , Kafka Deployed and Scaled AI/ML in Production. Familiarity with deep learning frameworks (TensorFlow, PyTorch). Familiarity with video processing tools like FFMPEG and Dlib for handling dynamic frame data. Basic understanding of ML models Preferred Qualifications Experience in image and video-based deep learning tasks. Familiarity with media streaming and video processing pipelines for real-time generation. Experience with real-time inference and deploying models in latency-sensitive environments. Strong problem-solving skills with a focus on optimising machine learning model infrastructure for scalability and performance.

About Jivi Jivi is transforming primary healthcare with an AI-powered clinical agentic platform designed for 8 billion people. Our flagship product, a super health app, combines an AI doctor and longevity coach. It provides a full-stack solution covering sickness, prevention, and wellness. In just six months, 500,000 users from 170+ countries have already used Jivi. The company was founded by Ankur Jain (BharatPe, WalmartLabs, Stanford), GV Sanjay Reddy (Reddy Ventures, Aragen), and Andrew Ng 's AI Fund (Coursera, DeepLearning). Together, they bring deep expertise in AI, medicine, and scaling billion-dollar ventures. Jivi is powered by groundbreaking research in Large Language Models (LLMs). Our MedX model is ranked #1 globally, surpassing OpenAI and Google Gemini in diagnostic accuracy. Additionally, our AudioX model boasts the lowest word error rate for Indic languages. Jivi’s health knowledge base, one of the largest in the world, plays a key role in training these models. In the spirit of fostering innovation, we’ve open-sourced these models on Hugging Face for the AI community. Jivi has been recognized for its innovation with awards such as the NASSCOM’s Digital Adoption Pioneer Award and the IndiaAI Mission Award. We are proud to be a global leader in AI healthcare. Job Overview As the Director of Data Science and AI, you will spearhead the development of advanced AI solutions, manage a multidisciplinary team of AI engineers and data scientists, and oversee the implementation of machine learning and large language model (LLM) initiatives. You will play a strategic role in shaping our AI roadmap, ensuring the delivery of high-impact models that improve outcomes and operational efficiency of the product. Key Responsibilities AI/ML Product Development: Oversee the design, development, and deployment of machine learning, deep learning, and large language models (LLMs), including multimodal AI systems. Team Management: Build, mentor, and lead a high-performing team of data scientists, AI researchers, and ML engineers. Foster a culture of innovation and technical excellence. R&D and Innovation: Drive applied research in areas like medical imaging, predictive analytics, and clinical decision support. Guide exploration of novel algorithms and AI approaches. Data Strategy & Governance: Ensure best practices in data preprocessing, cleaning, and analysis. Collaborate with data engineering for robust pipelines and scalable infrastructure. Model Evaluation & Ethics: Champion rigorous model validation, monitoring, and explainability. Ensure ethical AI practices, especially in sensitive healthcare applications. Thought Leadership: Stay abreast of AI/ML advancements and represent the company in conferences, publications, and key industry forums. Technical Skills Programming Skills: Proficiency in Python, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Familiarity with TensorRT and NVIDIA Triton Server is a plus. Model Expertise: Deep experience with Convolutional Neural Networks (CNNs), diffusion models, transformers, as well as segmentation, object detection, and classification models, including CLIP or similar models. Multimodal Proficiency: Strong knowledge and experience with large language models (LLMs) and multimodal AI approaches. Algorithmic Understanding: Comprehensive understanding of a wide array of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning techniques. Experience & Qualifications 8+ years of experience in data science, AI/ML, or applied research, with 3+ years in a leadership or managerial role. Proven track record of deploying AI models into production, preferably in healthcare, medical imaging, or life sciences. Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or a related field. PhD preferred. Why Work with Jivi? Make a Global Impact : Shape AI-driven healthcare solutions that transform billions of lives and revolutionize global wellness. Accelerate Your Career : Enjoy competitive salaries, growth opportunities, and the chance to take on leadership roles as Jivi scales. Lead in a High-Growth Environment : Own key initiatives, influence company strategy, and drive impactful health projects in a dynamic, fast-paced setting. Collaborate with the Best : Work alongside top professionals in AI and healthcare, learn from experts, and contribute to breakthrough innovations. Jivi’s Products: Jivi is available as a mobile app or as an AI assistant on WhatsApp. You can access Jivi: iOS app Android app WhatsApp Jivi in Media: Economic Times - https://tinyurl.com/m3kep5at Reuters - https://tinyurl.com/mpcs6dpx Inc42 - https://tinyurl.com/emsdas55 Many more - https://www.jivi.ai/news

Area(s) of responsibility Coding and Development: Write clean, using autogen and crew.ai frameworks efficient, and maintainable code for GenAI applications using Python and open-source frameworks. Fine-Tuning Models: Fine-tune LLMs and SLMs using techniques like PEFT, LoRA, and QLoRA for specific use cases. Open-Source Frameworks: Work with frameworks like Hugging Face, LangChain, LlamaIndex, and others to build GenAI solutions. Cloud Tools Integration: Use cloud platforms (Azure, GCP, AWS) to deploy and manage GenAI models and applications. Prototyping: Quickly prototype and demonstrate GenAI applications to showcase capabilities and gather feedback. Data Preprocessing: Build and maintain data preprocessing pipelines for training and fine-tuning models. API Integration: Integrate REST, SOAP, and other APIs for data ingestion, processing, and output delivery. Model Evaluation: Evaluate model performance using metrics and benchmarks, and iterate to improve results.

Area(s) of responsibility GenAI Sr. Developer-App Development Required Skills Python Programming: Strong proficiency in CORE Python OOP for developing GenAI applications. Fine-Tuning Techniques: Hands-on experience with fine-tuning methods like PEFT, LoRA, and QLoRA. Open-Source Frameworks: Expertise in Hugging Face, LangChain, LlamaIndex, and other open-source libraries. Cloud Platforms: Familiarity with Azure, GCP, and AWS for deploying and managing GenAI models. Data Preprocessing: Skills in building and maintaining data preprocessing pipelines. API Integration: Experience with REST, SOAP, and other protocols for API integration. Model Evaluation: Knowledge of metrics and benchmarks for evaluating model performance. Document Intelligence: Proficiency in OCR and document intelligence using open-source and cloud tools. Front-End Tools: Basic knowledge of front-end tools like Streamlit, React, or JavaScript for UI integration. Version Control: Proficiency in Git and version control best practices. Technical Documentation: Ability to create clear and concise technical documentation. Problem-Solving: Strong analytical and problem-solving skills to debug and optimize code. Collaboration: Excellent teamwork and communication skills to work effectively in cross-functional teams. Rapid Prototyping: Ability to quickly prototype and demonstrate GenAI applications. Continuous Learning: A growth mindset with a passion for learning and staying updated with the latest GenAI trends and technologies.

Job Title: AI/ML Intern Location: Pratap Nagar, Jaipur (On-site) Duration: 3 to 6 Months Internship About the Role: We are seeking a driven and enthusiastic AI/ML Intern to join our on-site team in Pratap Nagar, Jaipur. This internship offers a great opportunity to work on practical machine learning and AI-based projects under expert guidance. Key Responsibilities: Assist in developing, training, and evaluating ML models Work with datasets for preprocessing, cleaning, and feature engineering Support in research and implementation of AI algorithms Collaborate with developers and project leads on real-time AI/ML use cases Required Skills: Strong understanding of Python and libraries like NumPy, Pandas, Scikit-learn Familiarity with basic Machine Learning algorithms Knowledge of TensorFlow, Keras, or PyTorch is a plus Eagerness to learn and solve real-world problems Stipend Structure: 3-Month Internship: ₹10,000 (Total for 3 months) 6-Month Internship: ₹24,000 (Total for 6 months) Note: This is a full-time, on-site internship opportunity based in Pratap Nagar, Jaipur. Remote work is not allowed.

Senior Machine Learning Engineer (AI-Powered Software Platform for Hidden Physical-Threat Detection & Real-Time Intelligence) About the Company: Aerobotics7 (A7) is a mission-driven deep-tech startup focused on developing a UAV-based next-gen sensing and advanced AI platform to detect, identify, and mitigate hidden threats like landmines, UXOs, and IEDs in real-time. We are embarking on a rapid development phase, creating innovative solutions leveraging cutting-edge technologies. Our dynamic team is committed to building impactful products through continuous learning, and close cross-collaboration. Position Overview: We are seeking a Senior Machine Learning Engineer with a strong research orientation to join our team. This role will focus on developing and refining proprietary machine learning models for drone-based landmine detection and mitigation. The ideal candidate will design, develop, and optimize advanced ML workflows with an emphasis on rigorous research, novel model development, and experimental validation in deep learning, multi-modal/sensor fusion and computer vision applications. Key Responsibilities: Lead the end-to-end AI model development process, including research, experimentation, design, and implementation. Architect, train, and deploy deep learning models on cloud (GCP) and edge devices, ensuring real-time performance. Develop and optimize multi-modal ML/DL models integrating multiple sensor inputs. Implement and fine-tune CNNs, Vision Transformers (ViTs), and other deep-learning architectures. Design and improve sensor fusion techniques for enhanced perception and decision-making. Optimize AI inference for low-latency and high-efficiency deployment on production. Cross-collaborate with software and hardware teams to integrate AI solutions into mission-critical applications. Develop scalable pipelines for model training, validation, and continuous improvement. Ensure robustness, interpretability, and security of AI models in deployment. Required Skills: • Strong expertise in deep learning frameworks (TensorFlow, PyTorch). • Experience with CNNs, ViTs, and other DL architectures. • Hands-on experience in multi-modal ML and sensor fusion techniques. • Proficiency in cloud-based AI model deployment (GCP experience preferred). • Experience with edge AI optimization (NVIDIA Jetson, TensorRT, OpenVINO). • Strong knowledge of data preprocessing, augmentation, and synthetic data generation. • Proficiency in model quantization, pruning, and optimization for real-time applications. • Familiarity with computer vision, object detection, and real-time inference techniques. • Ability to work with limited datasets, including generating synthetic data (VAEs or s similar), data annotation and augmentation strategies. • Strong coding skills in Python and C++ with experience in high-performance computing. Preferred Qualifications: • Experience: 2-4+ Years. • Experience with MLOps, including CI/CD pipelines, model versioning, and monitoring. • Knowledge of reinforcement learning techniques. • Experience in working in fast-paced startup environments. • Prior experience working on AI-driven autonomous systems, robotics, or UAVs. • Understanding of embedded systems and hardware acceleration for AI workloads. Benefits: NOTE: THIS ROLE IS UNDER AEROBOTICS7 INVENTIONS PVT. LTD., AN INDIAN ENTITY. IT IS A REMOTE INDIA-BASED ROLE WITH COMPENSATION ALIGNED TO INDIAN MARKET STANDARDS. WHILE OUR PARENT COMPANY IS US-BASED, THIS POSITION IS FOR CANDIDATES RESIDING AND WORKING IN INDIA. Competitive startup-level salary and comprehensive benefits package. Future opportunity for equity options in the company. Opportunity to work on impactful, cutting-edge technology in a collaborative startup environment. Professional growth with extensive learning and career development opportunities. Direct contribution to tangible, real-world impact. How to Apply: Interested candidates are encouraged to submit their resume along with an (optional) cover letter highlighting their relevant experience and passion for working in a dynamic startup environment. For any questions or further information, feel free to reach out to us directly by emailing us at careers@aerobotics7.com.

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. We are seeking a passionate and skilled AI Engineer with 0-2 years of exerience to join our R&D team, focusing on the design, development, and deployment of intelligent chatbot systems and robust data engineering pipelines. This role bridges conversational AI and data infrastructure, enabling scalable, intelligent digital assistants that enhance user experience and operational efficiency. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities Key Responsibilities Chatbot Design & Development Design, develop, and deploy AI-powered chatbots using NLP and LLM frameworks (e.g., Open Source, Rasa, Dialogflow, OpenAI, Azure Bot Framework). Collaborate with UX and product teams to define conversational flows and user intents. Continuously improve chatbot performance through user feedback, analytics, and retraining cycles. Ensure chatbot compliance with data privacy and governance standards. Data Engineering Build and maintain scalable data pipelines to support chatbot training and analytics. Integrate structured and unstructured data from multiple sources (e.g., APIs, databases, logs). Implement data preprocessing, transformation, and storage strategies optimized for AI/ML workloads. Collaborate with data scientists to ensure data readiness for model training and evaluation. Qualifications Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI/ML, or related field. 0-2 years of experience in AI/ML engineering or data engineering roles. Proficiency in Python and familiarity with Java or Scala. Strong software development and collaboration skills. Experience with NLP libraries (e.g., spaCy, Hugging Face Transformers) and chatbot platforms. Hands-on experience with data pipeline tools (e.g., Apache Airflow, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Strong understanding of data modeling, ETL processes, and data governance. Preferred Skills Exposure to MLOps practices and tools (e.g., MLflow, Kubeflow). Experience with LLM fine-tuning and prompt engineering. Knowledge of RESTful APIs and microservices architecture. Familiarity with analytics dashboards and chatbot performance metrics. Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Title: AI Engineer Location: Hyderabad & Chennai Availability to Join: Immediate to 15 days Responsibilities: o Design, develop, and implement AI/ML models and algorithms. o Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions. o Write clean, efficient, and well-documented code. o Collaborate with data engineers to ensure data quality and availability for model training and evaluation. o Work closely with senior team members to understand project requirements and contribute to technical solutions. o Troubleshoot and debug AI/ML models and applications. o Stay up-to-date with the latest advancements in AI/ML. o Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models. o Develop and deploy AI solutions on Google Cloud Platform (GCP). o Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy. o Utilize Vertex AI for model training, deployment, and management. o Integrate and leverage Google Gemini for specific AI functionalities. Qualifications: o Bachelor's degree in Computer Science, Artificial Intelligence, or a related field. o 3+ years of experience in developing and implementing AI/ML models. o Strong programming skills in Python. o Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. o Good understanding of machine learning concepts and techniques. o Ability to work independently and as part of a team. o Strong problem-solving skills. o Good communication skills. o Experience with Google Cloud Platform (GCP) is preferred. o Familiarity with Vertex AI is a plus.

Role Overview : with a focus on AI, you will be responsible for developing scalable AI solutions, optimizing algorithms, and collaborating with cross-functional teams to enhance our product offerings. You will leverage your expertise in Python and machine learning frameworks to build and deploy AI models that drive business outcomes. Key Responsibilities: Skills required: Flask, Fast API , LAMBDA, AI-ML, LLM, Lambda, CNN, YOLO, OpenCV. Design, develop, and implement AI models and algorithms using Python. Collaborate with data scientists and other engineers to integrate AI capabilities into our products. Optimize and maintain existing AI systems to improve performance and accuracy. Conduct data preprocessing and feature engineering to prepare datasets for model training. Stay current with the latest advancements in AI technologies and methodologies. Write clean, maintainable, and efficient code while following best practices in software development. Participate in code reviews and contribute to team knowledge sharing. About US -: Webmobril is One of the top-notch IT companies based in Delhi, NCR; India and also established in the US. Offering exclusive and affordable Web, Mobile, and Game app development, Cyber Security Assessment, Digital Marketing services globally. Recently we started Staffing Services and Travel & Tourism services . We are a team of experienced, dedicated enthusiastic, innovative, and creative professionals to serve a range of business goals with our advanced tools and technologies. For more detail you can go through our company website: https://www.webmobril.com/ Kindly confirm the availability. In case any queries and concerns feel free to write back to us.

Job Title: Machine Learning Engineer Location: 100% Remote Job Type: Full-Time About the Role: We are seeking a highly skilled and motivated Machine Learning Engineer to design, develop, and deploy cutting-edge ML models and data-driven solutions. You will work closely with data scientists, software engineers, and product teams to bring AI-powered products to life and scale them effectively. Key Responsibilities: Design, build, and optimize machine learning models for classification, regression, recommendation, and NLP tasks. Collaborate with data scientists to transform prototypes into scalable, production-ready models. Deploy, monitor, and maintain ML pipelines in production environments. Perform data preprocessing, feature engineering, and selection from structured and unstructured data. Implement model performance evaluation metrics and improve accuracy through iterative tuning. Work with cloud platforms (AWS, Azure, GCP) and MLOps tools to manage model lifecycle. Maintain clear documentation and collaborate cross-functionally across teams. Stay updated with the latest ML/AI research and technologies to continuously enhance our solutions. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 2–5 years of experience in ML model development and deployment. Proficient in Python and libraries such as scikit-learn, TensorFlow, PyTorch, pandas, NumPy, etc. Strong understanding of machine learning algorithms, statistical modeling, and data analysis. Experience with building and maintaining ML pipelines using tools like MLflow, Kubeflow, or Airflow. Familiarity with containerization (Docker), version control (Git), and CI/CD for ML models. Experience with cloud services such as AWS SageMaker, GCP Vertex AI, or Azure ML.

Job Description - AI Data Scientist Location: Remote Department: Data & AI Engineering Employment Type: Full-time Experience Level: Mid-level About the Role: We are seeking an experienced AI Data Engineer to design, build, and deploy data pipelines and ML infrastructure to power scalable AI/ML solutions. This role involves working at the intersection of data engineering, MLOps, and model deployment—supporting the end-to-end lifecycle from data ingestion to model production. Key Responsibilities: Data Engineering & Development Design, develop, and train AI models to solve complex business problems and enable intelligent automation. Design, develop, and maintain scalable data pipelines and workflows for AI/ML applications. Ingest, clean, and transform large volumes of structured and unstructured data from diverse sources (APIs, streaming, databases, flat files). Build and manage data lakes, data warehouses, and feature stores. Prepare training datasets and implement data preprocessing logic. Perform data quality checks, validation, lineage tracking, and schema versioning. Model Deployment & MLOps Package and deploy AI/ML models to production using CI/CD workflows. Implement model inference pipelines (batch or real-time) using containerized environments (Docker, Kubernetes). Use MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI) for model tracking, versioning, and deployment. Monitor deployed models for performance, drift, and reliability. Integrate deployed models into applications and APIs (e.g., REST endpoints). Platform & Cloud Engineering Manage cloud-based infrastructure (AWS, GCP, or Azure) for data storage, compute, and ML services. Automate infrastructure provisioning using tools like Terraform or CloudFormation. Optimize pipeline performance and resource utilization for cost-effectiveness. Requirements: Must-Have Skills Bachelor's/Master’s in Computer Science, Engineering, or related field. 2+ years of experience in data engineering, ML engineering, or backend infrastructure. Proficient in Python, SQL, and data processing frameworks (e.g., Spark, Pandas). Experience with cloud platforms (AWS/GCP/Azure) and services like S3, BigQuery, Lambda, or Databricks. Hands-on experience with CI/CD, Docker, and container orchestration (Kubernetes, ECS, EKS). Preferred Skills Experience deploying ML models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Familiarity with API development (Flask/FastAPI) for serving models. Experience with Airflow, Prefect, or Dagster for orchestrating pipelines. Understanding of DevOps and MLOps best practices. Soft Skills: Strong communication and collaboration with cross-functional teams. Proactive problem-solving attitude and ownership mindset. Ability to document and communicate technical concepts clearly.

Job Description: Overview: An expert in their field, applying broad business knowledge and strategic insight surrounding emerging trends and technologies to solve complex problems and drive organizational results. Leads critical, high-impact projects and designs/implements innovative business strategies. Works with minimal oversight, frequently consulting senior leadership and influencing executive decisions. Serves as a mentor and assists others with challenging issues. Performs very complex data science work, creates new ways of analyzing data, builds very complex business models, and makes recommendations that impact an entire business unit or very large complex sector. Key Roles and Responsibilities: Typical tasks may include, but are not limited to, the following: Data Extraction and Preparation: Collect data from various structured and unstructured sources (datalakes, databases, data warehouses, on cloud, internal, external) and ensure its quality for analysis through cleaning and preprocessing. Designs, builds, and analyzes large (e.g. 100’s of Terabytes or higher as technology advances) and complex data sets while thinking strategically about data use and data design. Tools can include snowflake and databricks. Coding Solutions, Algorithms and Feature Engineering: Create relevant features and conduct exploratory data analysis. Codes solutions following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining, business process and/or system implementations, high level proof of concept and trials, visualization, deployment to production, post deployment ML ops monitoring/diagnosis/resolutions. Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well as expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and/or AutoML tools). Model Development, Deployment and Optimization: Build, evaluate, and optimize machine learning models through hyperparameter tuning. Implement models into production, continuously monitor their performance, and ensure they remain explainable and reliable to minimize model decay. Ability to develop custom Machine Learning (ML). Highly proficient in the full AI workflow such as (1) data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining and (2) Uses concepts like mlflow to log metrics. Well-versed in Interactive Development Environments (IDEs) such as Databricks Workspaces or Visual Studio Code. Proficiency in algorithm categories such as Supervised Learning, Unsupervised Learning, Optimization Algorithms, Deep Learning, AI-Computer Vision, Natural Language Processing, Deep Reinforcement Learning, Search Algorithms, and AI- Knowledge Graphs. Visualization and Collaboration: Create visualizations and reports for stakeholders while working closely with cross-functional teams to align efforts with business objectives. Can utilize advanced coding methods to produce visualizations (e.g. ggplot, D3.js, etc.). Generative AI: Develop and implement generative AI models, focusing on creating new content or augmenting existing data. Generative Models-Understanding of GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers. Fine-Tuning-Techniques for adapting pre-trained models to specific tasks using smaller, task-specific datasets. Agentics-Understanding of agentic architecture, concepts and optimization of solutions. Prompt Engineering-Crafting effective prompts to guide generative models in producing desired outputs. Retrieval-Augmented Generation (RAG)-Combining generative models with retrieval systems to enhance performance and relevance. Text Generation-Proficiency in using models like GPT-3/4 for generating human-like text. Image Generation-Familiarity with tools like DALL-E and Stable Diffusion for creating images from text descriptions. Key Skills: Python, R, Scala, Generative AL, Credit, Modele development, Fraud, tiral analysis, Machine Learning (ML), Snowflake, databricks, Spark, SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, AutoML Weekly Hours: 40 Time Type: Regular Location: Bangalore, Karnataka, India It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Hyderabad, Telangana, India Job Type Full Time About the Role About the Role We are seeking a highly skilled and visionary Senior Embedded Systems Architect to lead the design and implementation of next-generation AI-powered embedded platforms. This role demands deep technical proficiency across embedded systems, AI model deployment, hardware–software co-design, and media-centric inference pipelines. You will architect full-stack embedded AI solutions using custom AI accelerators such as Google Coral (Edge TPU), Hailo, BlackHole (Torrent), and Kendryte, delivering real-time performance in vision, audio, and multi-sensor edge deployments. The ideal candidate brings a combination of system-level thinking, hands-on prototyping, and experience in optimizing AI workloads for edge inference. This is a high-impact role where you will influence product architecture, ML tooling, hardware integration, and platform scalability for a range of IoT and intelligent device applications. Requirements Key Responsibilities ️ System Architecture & Design Define and architect complete embedded systems for AI workloads — from sensor acquisition to real-time inference and actuation . Design multi-stage pipelines for vision/audio inference: e.g., ISP preprocessing CNN inference postprocessing. Evaluate and benchmark hardware platforms with AI accelerators (TPU/NPU/DSP) for latency, power, and throughput. Edge AI & Accelerator Integration Work with Coral, Hailo, Kendryte, Movidius, and Torrent accelerators using their native SDKs (EdgeTPU Compiler, HailoRT, etc.). Translate ML models (TensorFlow, PyTorch, ONNX) for inference on edge devices using cross-compilation , quantization , and toolchain optimization . Lead efforts in compiler flows such as TVM, XLA, Glow, and custom runtime engines. ️ Media & Sensor Processing Pipelines Architect pipelines involving camera input , ISP tuning , video codecs , audio preprocessors , or sensor fusion stacks . Integrate media frameworks such as V4L2 , GStreamer , and OpenCV into real-time embedded systems. Optimize for frame latency, buffering, memory reuse, and bandwidth constraints in edge deployments. ️ Embedded Firmware & Platform Leadership Lead board bring-up, firmware development (RTOS/Linux), peripheral interface integration, and low-power system design. Work with engineers across embedded, AI/ML, and cloud to build robust, secure, and production-ready systems. Review schematics and assist with hardware–software trade-offs, especially around compute, thermal, and memory design. Required Qualifications ‍ Education: BE/B.Tech/M.Tech in Electronics, Electrical, Computer Engineering, Embedded Systems, or related fields. Experience: Minimum 5+ years of experience in embedded systems design. Minimum 3 years of hands-on experience with AI accelerators and ML model deployment at the edge. Technical Skills Required Embedded System Design Strong C/C++, embedded Linux, and RTOS-based development experience. Experience with SoCs and MCUs such as STM32, ESP32, NXP, RK3566/3588, TI Sitara, etc. Cross-architecture familiarity: ARM Cortex-A/M, RISC-V, DSP cores. ML & Accelerator Toolchains Proficiency with ML compilers and deployment toolchains: ONNX, TFLite, HailoRT, EdgeTPU compiler, TVM, XLA . Experience with quantization , model pruning , compiler graphs , and hardware-aware profiling . Media & Peripherals Integration experience with camera modules , audio codecs , IMUs , and other digital/analog sensors . Experience with V4L2 , GStreamer , OpenCV , MIPI CSI , and ISP tuning is highly desirable. System Optimization Deep understanding of compute budgeting , thermal constraints , memory management , DMA , and low-latency pipelines . Familiarity with debugging tools: JTAG , SWD , logic analyzers , oscilloscopes , perf counters , and profiling tools. Preferred (Bonus) Skills Experience with Secure Boot , TPM , Encrypted Model Execution , or Post-Quantum Cryptography (PQC) . Familiarity with safety standards like IEC 61508 , ISO 26262 , UL 60730 . Contributions to open-source ML frameworks or embedded model inference libraries. Why Join Us? At EURTH TECHTRONICS PVT LTD , you won't just be optimizing firmware — you will architect full-stack intelligent systems that push the boundary of what's possible in embedded AI. Work on production-grade, AI-powered devices for industrial, consumer, defense, and medical applications . Collaborate with a high-performance R&D team that builds edge-first, low-power, secure, and scalable systems . Drive core architecture and set the technology direction for a fast-growing, innovation-focused organization. How to Apply Send your updated resume + GitHub/portfolio links to: jobs@eurthtech.com About the Company About EURTH TECHTRONICS PVT LTD EURTH TECHTRONICS PVT LTD is a cutting-edge Electronics Product Design and Engineering firm specializing in embedded systems, IoT solutions, and high-performance hardware development. We provide end-to-end product development services—from PCB design, firmware development, and system architecture to manufacturing and scalable deployment. With deep expertise in embedded software, signal processing, AI-driven edge computing, RF communication, and ultra-low-power design, we build next-generation industrial automation, consumer electronics, and smart infrastructure solutions. Our Core Capabilities Embedded Systems & Firmware Engineering – Architecting robust, real-time embedded solutions with RTOS, Linux, and MCU/SoC-based firmware. IoT & Wireless Technologies – Developing LoRa, BLE, Wi-Fi, UWB, and 5G-based connected solutions for industrial and smart city applications. Hardware & PCB Design – High-performance PCB layout, signal integrity optimization, and design for manufacturing (DFM/DFA). Product Prototyping & Manufacturing – Accelerating concept-to-market with rapid prototyping, design validation, and scalable production. AI & Edge Computing – Implementing real-time AI/ML on embedded devices for predictive analytics, automation, and security. Security & Cryptography – Integrating post-quantum cryptography, secure boot, and encrypted firmware updates. Our Industry Impact ✅ IoT & Smart Devices – Powering the next wave of connected solutions for industrial automation, logistics, and smart infrastructure. ✅ Medical & Wearable Tech – Designing low-power biomedical devices with precision sensor fusion and embedded intelligence. ✅ Automotive & Industrial Automation – Developing AI-enhanced control systems, predictive maintenance tools, and real-time monitoring solutions. ✅ Scalable Enterprise & B2B Solutions – Delivering custom embedded hardware and software tailored to OEMs, manufacturers, and system integrators. Our Vision We are committed to advancing technology and innovation in embedded product design. With a focus on scalability, security, and efficiency, we empower businesses with intelligent, connected, and future-ready solutions. We currently cater to B2B markets, offering customized embedded development services, with a roadmap to expand into direct-to-consumer (B2C) solutions.