1439 Keras Jobs - Page 14

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Preferred Education Master's Degree Required Technical And Professional Expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred Technical And Professional Experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type: Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry Pi, Blender, Computer Vision, OpenCV, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 35 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment

Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: Voice AI, Voice AI products, AI models, Large Language Models (LLMs), Python, Model deployment, Building AI Models, ASR models, Text-to-Speech (TTS) I-Stem is Looking for: You will: Develop, test, and refine end-to-end voice agent models (ASR, NLU, dialog management, TTS) Stress-test agents in noisy, real-world scenarios and iterate for improved robustness and low latency Research and prototype cutting-edge techniques (e.g. robust speech recognition, adaptive language understanding) Partner with backend and frontend engineers to seamlessly integrate AI components into live voice products Monitor agent performance in production, analyze failure cases, and drive continuous improvement You are: An AI/Software Engineer with hands-on experience in speech-centric ML (ASR, NLU or TTS) Skilled in building and tuning transformer-based speech models and handling real-time audio pipelines Obsessed with reliability: you design experiments to push agents to their limits and root-cause every error A clear thinker who deconstructs complex voice interactions from first principles Passionate about making voice technology inclusive and accessible for diverse users Comfortable moving fast in a small team, yet dogged about code quality, testing and reproducibility

We are looking for a passionate and experienced Data Science/Engineering Trainer to join our training team. This role is ideal for professionals who love sharing knowledge, mentoring aspiring data engineers, and contributing to the growth of future tech talent. Job Description Deliver in-person classroom/online training on Data Science , Data Engineering , and related tools and technologies. Design course content, hands-on labs, case studies, and capstone projects aligned with industry standards. Teach tools and concepts such as: Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Power BI/Tableau Big Data (Spark, Hadoop) and Data Pipelines Cloud Platforms : AWS (Glue, S3, Redshift), Azure (ADF, Synapse), or GCP (BigQuery, Cloud Composer) ETL tools , Data Warehousing , MLOps , and DevOps Conduct assessments, code/project reviews, and support students with guidance and doubt resolution. Mentor students on interview preparation, career path, and hands-on project development. Continuously update training materials based on technology trends and feedback. Required Skill: 3+ years of experience in Data Science or Cloud Data Engineering roles(training/development). Strong coding skills in Python and SQL. Hands-on knowledge of at least one cloud platform ( AWS , Azure , or GCP ). Solid understanding of ML lifecycle, data lake/warehouse concepts, and ETL/ELT. Excellent presentation and communication skills. Nice to have : Certifications in AWS, GCP, or Azure (Data Engineering/AI/ML). What we Offer : Competitive salary and performance-based incentives. Work with senior architects and domain experts. Opportunity to contribute to real projects and mentor students for live industry challenges. Collaborative and growth-focused work environment. Flexibility to work from home.

About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes Position Summary We are looking for a talented and motivated Software Engineer with 4-6 years of experience in MERN stack (MongoDB, Express.js, React.js, Node.js) to join our team. The successful candidate will contribute to the development and maintenance of applications, ensuring their performance and quality. Responsibilities Develop and maintain software applications using the MERN stack. Collaborate with cross-functional teams to define, design, and develop new features. Troubleshoot, debug, and optimize existing applications for performance and scalability. Participate in full software development lifecycle, including requirement gathering, design, development, testing and deployment Learn, acquire, and get certified on new technologies as demanded by project Any exposure and experience in AI, ML and Data Science will be of additional advantage. Required Skills proficiency in development, maintenance, and support of software applications with proven experience in Node.js React.js (having knowledge of Angular will be an additional advantage) RDMS (Oracle/SQL Server/Postgres) SQL NoSQL databases like Mongo Experience with front-end technologies such as HTML, CSS and JavaScript. Experience in Open-Source Technologies Preferable: Knowledge of database management tools like Liquibase / Hibernate Well-versed in Devops (e.g. Azure DevOps) and cloud PaaS. Familiarity with Docker and Git Good understanding of coding standards, ability to debug. Good Experience in Software development lifecycle and processes. Strong problem-solving skills. Excellent written and oral communication skills Ability to work effectively in a cross-functional team. Added advantage: Exposure to AI/ML frameworks in Keras, Pytorch, libraries scikit-learn Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles POSITION SPECIFICATIONS Bachelor’s degree in computer science, Information Technology, Electronics Communication. Other branches of engineering with proven skills through past experience / projects can also apply. ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

JOB DESCRIPTION Embark on a transformative journey with JPMorgan as we evolve into a technologically advanced, client-focused company. We're seeking top talent for our AI engineering team to integrate machine learning into our key products, working closely with our tech partners. This role, part of the Payments Trust & Safety Team, offers a unique opportunity to influence the financial services industry by developing impactful Machine Learning solutions. Join us in building next-gen technology that leverages JPMorgan's unique data and full-service advantage to create high-impact AI applications and platforms. As a Applied AI ML Lead within the Payments AI/ML team at JPMorgan, you will collaborate with all lines of business and functions to deliver software solutions. You will have the opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results. You will hire and lead a team of ML scientists as we set out to solve impactful business problems at JPMC. Job Responsibilities: Collaborate with all of JPMorgan’s lines of business and functions to delivery software solutions. Experiment, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact. Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result. Required qualifications, capabilities and skills: Formal training or certification on software engineering concepts and 5+ years applied experience MS or PhD and a degree in Computer Science, Statistics, Mathematics or Machine learning related field. Solid programming skills with Java, Python or other equivalent languages. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn. Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB. Strong analytical and critical thinking skills. Self-motivation, great communication skills and team player. Preferred qualifications, capabilities and skills : Cloud computing: Google Cloud, Amazon Web Service, Azure, Docker, Kubernetes. Experience in big data technologies: Hadoop, Hive, Spark, Kafka. Experience in distributed system design and development ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Senior HPC/AI Applications Engineer Experienced HPC/AI Applications Engineer with 5+ years in High-performance computing and AI application deployment. Expert at architecting, optimizing, and benchmarking CPU/GPU-intensive environments, ensuring maximum efficiency in scientific and ML workloads. Mastery over Open-source and Commercial HPC/AI Applications. Deep experience installing, benchmarking, and fine-tuning open-source applications, libraries, and compilers across CPU and GPU platforms. Proficient deploying and optimizing and benchmarking scientific codes (WRF, OpenFOAM, LAMMPS, GROMACS, Quantum Espresso, VASP, NAMD, BLAST, GATK, Ansys, Abaqus, MATLAB, LS‑DYNA, Nastran, CAE/CFX) etc. Compiler & Library Optimization - Advanced user of Intel OneAPI, AOCC, NVIDIA HPC SDK, GNU, LLVM, PGI compilers, and MPI libraries (OpenMPI, MPICH, Intel MPI). Deep profiling insights via Nsight, VTune, PAPI. Expert in AI frameworks: TensorFlow (CPU/GPU), PyTorch, Keras, Theano, Caffe, cuDNN. Strong knowledge of NVIDIANGC, NIM & NeMo. Proficient with workload & resource managers (PBS, LSF, SLURM, Kubernetes). Knowledge of application installation tools source code, cmake, spack, easy build, mamba etc. Benchmarking experience in accelerated HPC: HPL, HPCG, STREAM and MLPerf and scientific applications. Skilled in NVIDIA GPU tuning, CUDA and NIM workflows, kernel optimization, memory throughput tuning, and multi-GPU scaling strategies. Knowledge of frameworks such as Hugging Face, OpenAI, or other GenAI platforms. Knowledge in data preprocessing and model evaluation tool. Fluent in Bash, Python, and other scripting languages to automate installation, deployment, performance testing, and administrative tasks. Strong interpersonal skills; versed in customer interaction, technical documentation, and collaboration with cross-functional teams.

Position Summary The Software Engineer develops capabilities required to build software systems using various software and cloud technologies. He/She should have strong analytical, problem solving, Software programming, Software Database, ability to create visualization and interaction layer on Web/Windows with good integration with underlying technology framework and computer operating system such as Windows / Unix. Exposure to AI/ML and Data science is an added advantage. Responsibilities Develop/Build software application / systems based on the design document across Front-end (web/windows), Back-end (.net/java/python) and Database systems Utilize best practices around design, coding, automated unit, regression testing, and deployment of software to production Work effectively in the agile-at-scale framework Clearly communicate status, updates and plan to project leadership Learn, acquire and get certified on new technologies as demanded by project Any exposure and experience in AI, ML and Data science will be of additional advantage. At least one of Java/.Net/Python/NodeJS Good Knowledge of JavaScript At least one of ASP.Net/Angular/ReactJS RDBMS (Oracle/SQL Server/Postgre) and Good Knowledge of SQL Preferable: Knowledge of database management tools like Liquibase / Hibernate Good understanding of Devops (e.g. Azure DevOps) and cloud PaaS. Good understanding of coding standards, ability to debug. Good understanding of Software development lifecycle and processes. Cloud-based (AWS/Azure) deployment of models, performance monitoring and issues troubleshooting Excellent written and oral communication skills Ability to work effectively in a cross-functional team Familiarity with Docker and Git Exposure to AI/ML frameworks in Pythin, Keras, Pytorch, libraries scikit-learn Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Job description Core Responsibilities Project Leadership: Own the end-to-end lifecycle of AI/ML projects—from scoping and prototyping to deployment and monitoring. Team Management: Lead, mentor, and grow a team of ML engineers, data scientists, and researchers. Model Development: Design, train, and evaluate machine learning and deep learning models for predictive analytics, NLP, CV, recommendation systems, etc. MLOps: Oversee model deployment, versioning, monitoring, and continuous training in production environments. Cross-Functional Collaboration: Work closely with data engineers, software developers, product managers, and business stakeholders. Research & Innovation: Evaluate cutting-edge AI/ML research and integrate suitable technologies into company products and platforms. Compliance & Ethics: Ensure responsible AI practices, addressing fairness, bias, interpretability, and compliance requirements. Technical Skills Programming: Expert in Python (NumPy, pandas, scikit-learn), and familiar with C++, R, or Java if needed. Frameworks: TensorFlow, PyTorch, Keras, Hugging Face Transformers. Data Tools: SQL, Spark, Kafka, Airflow. Cloud & DevOps: AWS/GCP/Azure, Docker, Kubernetes, MLflow, SageMaker, Vertex AI. Techniques: Supervised/unsupervised learning, deep learning, NLP, computer vision, reinforcement learning. MLOps: CI/CD for ML, monitoring (Prometheus, Grafana), feature stores, model drift detection. Typical Background 5+ years experience in AI/ML development. 2+ years in a leadership or team lead role. Job Type: Full-time Benefits: Provident Fund Location Type: In-person Schedule: Day shift Monday to Friday Morning shift Work Location: In person Speak with the employer +91 8146237069 Application Deadline: 05/07/2025

Associate - Software Engineer Date: Jul 2, 2025 Location: Chennai, IN Requisition ID: 16480 Description: Position Summary : The Software Engineer develops capabilities required to build software systems using various software and cloud technologies. He/She should have strong analytical, problem solving, Software programming, Software Database, ability to create visualization and interaction layer on Web/Windows with good integration with underlying technology framework and computer operating system such as Windows / Unix. Exposure to AI/ML and Data science is an added advantage. Responsibilities : Develop/Build software application / systems based on the design document across Front-end (web/windows), Back-end (.net/java/python) and Database systems Utilize best practices around design, coding, automated unit, regression testing, and deployment of software to production Work effectively in the agile-at-scale framework Clearly communicate status, updates and plan to project leadership Learn, acquire and get certified on new technologies as demanded by project Any exposure and experience in AI, ML and Data science will be of additional advantage. At least one of Java/.Net/Python/NodeJS Good Knowledge of JavaScript At least one of ASP.Net/Angular/ReactJS RDBMS (Oracle/SQL Server/Postgre) and Good Knowledge of SQL Preferable: Knowledge of database management tools like Liquibase / Hibernate Good understanding of Devops (e.g. Azure DevOps) and cloud PaaS. Good understanding of coding standards, ability to debug. Good understanding of Software development lifecycle and processes. Cloud-based (AWS/Azure) deployment of models, performance monitoring and issues troubleshooting Excellent written and oral communication skills Ability to work effectively in a cross-functional team Familiarity with Docker and Git Exposure to AI/ML frameworks in Pythin, Keras, Pytorch, libraries scikit-learn Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles ️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities: Develop and implement AI and machine learning strategies for several healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively 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 degree or higher in computer science engineering with a focus on language processing 8+ years of experience in Software Engineering, Data Science, or Analytics with 4+ years of experience in AI/ML engineering or related fields Hands-on experience in AI and drive the development of innovative AI and machine learning solutions Experience in developing solutions in the NLP space and relevant projects Experience with cloud platforms and services, such as AWS, Azure, GCP, etc. Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc. Experience with Azure development environments Experience with using and deploying LLMs Knowledge of NLP literature, thrust areas, conference venues, and code repositories Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP Proficient in Python and one of PySpark. Familiarity with python tools for data processing Proficiency in libraries such as Hugging Face and OpenAI API Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Proven hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas Proven ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions 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.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities: Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively 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 degree or higher in computer science engineering with a focus on language processing 6+ years of experience in AI/ML roles Experience with Azure development environments Experience with using and deploying LLMs Experience in developing solutions in the NLP space and relevant projects Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP Proficient in Python and one of PySpark or Scala Familiarity with python tools for data processing Proficiency in libraries such as Hugging Face and OpenAI API Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering Knowledge of NLP literature, thrust areas, conference venues, and code repositories Hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) DevOps Skills: Experience building and maintaining CI/CD pipelines Experience with DevOps tools (GitHub, GitHub Actions, Azure devops, Kubernetes, etc) Experience with data-oriented workflow orchestration frameworks (Airflow, kafka, etc) Security and vulnerability management Familiarity with traditional software monitoring, scaling, and quality management (QMS) Preferred Qualifications: Experience deploying and maintaining ML models in production Experience with model observability tools for insights into the behavior, performance, and health of deployed ML models (tracking, alerting, compliance monitoring, etc) MLOps skills Familiarity with model versioning tools (MLFlow, etc) Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc) 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.

Job Title: Machine Learning - AI Engineer Location: Bangalore (WFO Mandatory) Company: Vidal Health TPA About Us: At Vidal Health TPA, we are at the forefront of transforming healthcare through technology. As a leading Third-Party Administrator (TPA), we provide comprehensive health services that streamline healthcare administration, focusing on delivering a seamless experience to our clients. Our commitment to innovation, efficiency, and a customer-first approach has helped us become a trusted partner for health insurers and policyholders. We are currently looking for a talented Machine Learning - AI Engineer with 1+ years of hands-on experience in machine learning, artificial intelligence, and data science, who is excited to work in a fast-paced, dynamic environment. This is an excellent opportunity to work with cutting-edge technology and play a key role in shaping the future of healthcare technology. Key Responsibilities: Design, implement, and optimize machine learning and AI models to support business goals. Work with large datasets to extract, clean, and analyze data using machine learning algorithms and advanced statistical methods. Develop and deploy predictive models to improve decision-making processes in healthcare administration. Collaborate with cross-functional teams (product managers, data scientists, engineers) to understand business requirements and deliver scalable AI solutions. Optimize and fine-tune existing AI/ML models to enhance performance, reliability, and scalability. Take ownership of end-to-end solutions, from data processing and model development to deployment and maintenance. Stay up to date with the latest trends and developments in machine learning, AI, and healthcare technology. Troubleshoot and debug AI/ML-related issues, ensuring high-quality, robust solutions. Requirements: 1+ years of hands-on experience in machine learning, AI, and data science. Strong knowledge of machine learning frameworks (TensorFlow, Keras, PyTorch, etc.) and libraries (Scikit-learn, Pandas, NumPy). Experience in programming languages such as Python, R, or similar. Proficiency in handling large datasets, data wrangling, and feature engineering. Knowledge of data modeling, model evaluation, and optimization techniques. Understanding of AI and machine learning in real-world applications (preferably in the healthcare or insurance domain). Strong analytical, problem-solving, and critical-thinking skills. Ability to thrive in a fast-paced environment and take ownership of projects from start to finish. Excellent communication skills and the ability to work effectively in a collaborative, cross-functional team. Preferred Qualifications: Experience in deploying machine learning models into production environments. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools like Docker. Knowledge of deep learning techniques and frameworks. Familiarity with healthcare data standards and protocols (HL7, FHIR) is a plus. What We Offer: A dynamic and challenging work environment where innovation is encouraged. Opportunities to grow and learn new skills in a rapidly evolving industry. Competitive salary and benefits package. A collaborative team that values creativity, diversity, and ownership. The chance to make a direct impact on the future of healthcare technology. If you're passionate about AI/ML and ready to take ownership of impactful projects, we would love to hear from you! Join us at Vidal Health TPA and help shape the future of healthcare with your expertise. Job Types: Full-time, Permanent Pay: ₹400,000.00 - ₹700,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Ability to commute/relocate: Whitefield, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Can come for Face-to-Face Interview? Education: Bachelor's (Required) Experience: Machine Learning - AI Engineer : 1 year (Required) Location: Whitefield, Bengaluru, Karnataka (Required) Work Location: In person Application Deadline: 16/07/2025 Expected Start Date: 03/07/2025

We are looking for a highly motivated and talented individual to join our team as an AI/ML Intern in Chennai. The ideal candidate will have a strong foundation in software development and a keen interest in artificial intelligence and machine learning. Roles and Responsibility Collaborate with cross-functional teams to design, develop, and deploy AI and ML models. Work on data analysis, modeling, and visualization to drive business insights. Develop and implement algorithms for natural language processing, computer vision, and predictive analytics. Participate in code reviews and contribute to improving the overall quality of the codebase. Stay updated with industry trends and advancements in AI and ML. Apply AI and ML techniques to solve complex problems and improve business processes. Job Requirements Strong understanding of software development principles, patterns, and practices. Proficiency in programming languages such as Python, Java, or C++. Experience with AI and ML frameworks like TensorFlow, PyTorch, or Keras. Familiarity with cloud platforms such as AWS or Google Cloud. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills.

What is Contentstack? Contentstack is on a mission to deliver the world's best digital experiences through a fusion of cutting-edge content management, customer data, personalization and AI technology. Iconic brands, such as AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi and Walmart, depend on the platform to rise above the noise in today's crowded digital markets and gain their competitive edge. Contentstack and its employees are dedicated to the customers and communities they serve. The company is recognized for its unmatched customer care and tradition of giving back globally through the Contentstack Cares program, including proud support of Pledge 1% and Girls Who Code. Learn more at www.contentstack.com. Who Are We? At Contentstack we are more than colleagues, we are a tribe. Our vision is to pursue equity among our communities, employees, partners, and customers. We are global-diverse yet close; distributed yet connected. We are dreamers and dreammakers who challenge the status quo. We do the right thing, even when no one is watching. We are curious trendspotters and brave trendsetters. Our mission is to make Contentstack indispensable for organizations to tell their stories and to connect with the people they care about through inspiring, modern experiences. We care deeply about our customers and the communities we serve. #OneTeamOneDream. Chalo, let's go! What Are We Looking For? We are seeking an experienced Machine Learning Engineer with 3-5 years of hands-on experience to join our team. The ideal candidate will design, develop, and deploy cutting-edge machine learning solutions, with a strong focus on modern GenAI techniques. You will work at the intersection of traditional ML engineering and emerging generative AI technologies, building scalable systems that leverage both conventional algorithms and state-of-the-art language models. Key Responsibilities ML System Development & Deployment Design and develop machine learning systems and self-running AI applications for predictive modeling and automation Build and optimize ML pipelines for data preprocessing, model training, and deployment using microservices architecture Implement and optimize machine learning algorithms using Python, with expertise in frameworks like TensorFlow, PyTorch, and scikit-learn Transform data science prototypes into production-ready solutions following SDLC best practices GenAI & Advanced Techniques Develop and implement Retrieval Augmented Generation (RAG) systems for grounding LLM outputs in external data Design and optimize prompt engineering strategies to enhance GenAI model performance Build multi-modal AI solutions that can process and generate content across text, images, and other data types- Implement advanced RAG techniques including context enrichment, and fusion retrieval Data Science & Analytics Perform statistical analysis and feature engineering to prepare datasets for model training Conduct data mining, cleaning, and preprocessing to ensure high-quality training data Analyze model performance metrics and implement strategies to improve accuracy and efficiency Software Engineering & DevOps Write robust, maintainable code following software engineering best practices Build RESTful APIs and microservices Technical Skills Programming & Frameworks Advanced proficiency in Python with experience in ML libraries (TensorFlow, PyTorch, Keras, scikit-learn) Strong understanding of software development lifecycle (SDLC) and Agile methodologies Experience with microservices architecture and RESTful API development Proficiency in NoSQL/SQL for data manipulation and retrieval Machine Learning & Data Science Deep understanding of ML algorithms including supervised/unsupervised learning, deep learning, and reinforcement learning Experience with data preprocessing, feature engineering, and model optimization techniques GenAI & Modern Techniques Hands-on experience with Large Language Models (LLMs) and transformer architectures Proficiency in prompt engineering techniques for optimizing GenAI outputs Experience implementing RAG systems using tools like LangChain or LlamaIndex Knowledge of multi-modal AI capabilities and cross-modal learning Cloud & Infrastructure Experience with cloud platforms (AWS, GCP, Azure) for ML model deployment Knowledge of containerization and orchestration technologies Preferred Qualifications Knowledge of advanced RAG techniques including query transformation and agentic architectures Contributions to open-source ML projects Soft Skills Excellent problem-solving and analytical thinking abilities Strong communication skills to explain complex ML concepts to non-technical stakeholders Ability to work collaboratively in cross-functional teams Self-motivated with a passion for continuous learning in the rapidly evolving AI landscape Education & Experience Bachelor's degree in Computer Science, Data Science, Mathematics, or related field Location - Chennai (Hybrid) Experience - 3 to 5 Years What Do We Offer? Interesting Work | We hire curious trendspotters and brave trendsetters. This is NOT your boring, routine, cushy, rest-and-vest corporate job. This is the "challenge yourself" role where you learn something new every day, never stop growing, and have fun while you're doing it. Tribe Vibe | We are more than colleagues, we are a tribe. We have a strict "no a**hole policy" and enforce it diligently. This means we spend time together - with spontaneous office happy hours, organized outings, and community volunteer opportunities. We are a diverse and distributed team, but we like to stay connected. Bragging Rights | We are dreamers and dream makers. Our efforts pay off and we work with the most prestigious brands, from big-name retailers to airlines, to professional sports teams. Your contribution will make an impact with many of the most recognizable names in almost every industry including AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi, Walmart, and many more! One Team One Dream | This is one of our values, and it shows. We don't believe in artificial hierarchies. If you're part of the tribe, you have an opportunity to contribute. Your voice will be heard and you will also receive regular updates about the business and its performance. Which, btw, is through the roof, so it's a great time to be joining… To review our Privacy Policy, please click here.

🎯 Role Overview We are looking for a passionate AI/ML & Data Science Trainer who can design and deliver real-world-focused content in Artificial Intelligence, Machine Learning, and Data Science. You’ll be responsible for creating a dynamic learning environment, delivering both conceptual clarity and practical skills. 📚 Key Responsibilities Deliver engaging training sessions on AI, Machine Learning & Data Science Prepare interactive lesson plans and hands-on coding activities Guide students through projects using tools like Python, Pandas, NumPy, Scikit-learn, etc. Evaluate student progress and provide mentorship Stay up-to-date with the latest industry trends, tools & practices Support in curriculum enhancement and industry alignment ✅ Requirements 1.5+ years of experience in AI/ML or Data Science (teaching or industry) Strong hands-on knowledge in Python, Data Analysis, Machine Learning algorithms, etc. Excellent communication and classroom handling skills Experience with Jupyter, TensorFlow, Keras, or related tools preferred Bachelor’s or Master’s in Computer Science / Data Science / related fields Bonus: Experience working on live industry projects or mentoring students 🌟 What You’ll Get Be part of Gujarat’s leading skill-based education brand Opportunity to shape future tech professionals Exposure to live training modules, seminars, and workshops Professional growth and learning opportunities 📧 Apply now: maninagar@rnwmultimedia.edu.in 📞 Call/WhatsApp: +91 9879293946 🌐 https://www.rnwmultimedia.edu.in/ahmedabad

About BeGig BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you’re not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise. Your Opportunity Join our network as an AI Developer and collaborate with forward-thinking startups to build intelligent systems, automate workflows, and integrate machine learning into real-world applications. You’ll work on everything from model development to deployment, with the freedom to structure your engagements as you choose. Plus, enjoy the flexibility to work remotely and take on projects that align with your passion and expertise. Role Overview As an AI Developer, you will: Build Intelligent Systems: Design and implement AI/ML models for various use cases including classification, recommendation, NLP, and computer vision. Develop & Deploy Models: Train, evaluate, and deploy models into production environments. Collaborate Across Teams: Work with product managers, engineers, and business stakeholders to integrate AI into end-user applications. What You’ll Do AI Model Development: Design, train, and fine-tune machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Work on use cases across NLP, computer vision, predictive analytics, and generative AI. End-to-End AI Pipeline: Preprocess data, build pipelines, and manage model lifecycle (training, evaluation, deployment). Deploy models via APIs or integrate them with backend systems or automation tools. Technical Requirements & Skills Experience: 5+ years in AI/ML development. Programming Languages: Proficient in Python (preferred), Java, or C++. Frameworks: Hands-on experience with TensorFlow, PyTorch, Keras, or Scikit-learn. Concepts: Strong understanding of algorithms, data structures, and core AI/ML concepts. Data: Experience with data wrangling, feature engineering, and working with large datasets. Bonus: Familiarity with LLM APIs (OpenAI, Claude, Gemini) or tools like LangChain, Hugging Face Transformers. What We’re Looking For A technically strong AI developer with a track record of building and deploying machine learning solutions. A creative problem-solver who enjoys working independently and collaboratively. A freelancer who thrives in fast-paced environments and can drive AI innovation from concept to implementation. Why Join Us? Immediate Impact: Work on cutting-edge AI projects that solve real business problems. Remote & Flexible: Choose when and how you work—hourly or project-based. Future Opportunities: BeGig will continue matching you with AI and ML roles that suit your expertise. Innovative Work: Partner with startups building the next wave of AI-driven products. Ready to take the next step? Apply now to become a key AI Developer for our client and a valued member of the BeGig network!

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities Develop and implement AI and machine learning strategies for several healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively 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 degree or higher in computer science engineering with a focus on language processing 8+ years of experience in Software Engineering, Data Science, or Analytics with 4+ years of experience in AI/ML engineering or related fields Hands-on experience in AI and drive the development of innovative AI and machine learning solutions Experience in developing solutions in the NLP space and relevant projects Experience with cloud platforms and services, such as AWS, Azure, GCP, etc. Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc. Experience with Azure development environments Experience with using and deploying LLMs Knowledge of NLP literature, thrust areas, conference venues, and code repositories Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP Proficient in Python and one of PySpark. Familiarity with python tools for data processing Proficiency in libraries such as Hugging Face and OpenAI API Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Proven hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas Proven ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions 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.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively 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 degree or higher in computer science engineering with a focus on language processing 6+ years of experience in AI/ML roles Experience with Azure development environments Experience with using and deploying LLMs Experience in developing solutions in the NLP space and relevant projects Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP Proficient in Python and one of PySpark or Scala Familiarity with python tools for data processing Proficiency in libraries such as Hugging Face and OpenAI API Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering Knowledge of NLP literature, thrust areas, conference venues, and code repositories Hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) DevOps Skills: Experience building and maintaining CI/CD pipelines Experience with DevOps tools (GitHub, GitHub Actions, Azure devops, Kubernetes, etc) Experience with data-oriented workflow orchestration frameworks (Airflow, kafka, etc) Security and vulnerability management Familiarity with traditional software monitoring, scaling, and quality management (QMS) Preferred Qualifications Experience deploying and maintaining ML models in production Experience with model observability tools for insights into the behavior, performance, and health of deployed ML models (tracking, alerting, compliance monitoring, etc) MLOps skills Familiarity with model versioning tools (MLFlow, etc) Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc) 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.

Location: Bangalore - Karnataka, India - Manyata Park Outer Ring Road Worker Type Reference: Regular - Permanent Pay Rate Type: Salary Career Level: T4(A) Job ID: R-44296-2025 Description & Requirements Introduction: A Career at HARMAN - Harman Tech Solutions (HTS) We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN HTS, you solve challenges by creating innovative solutions. Combine the physical and digital, making technology a more dynamic force to solve challenges and serve humanity’s needs. Empower the company to create new digital business models, enter new markets, and improve customer experiences About the Role We are seeking a skilled and experienced Data Scientist with expertise in Natural Language Processing (NLP), Python programming, Generative AI, Large Language Models, Machine Learning, Deep Learning, and associated frameworks. The ideal candidate will play a key role in leading the development and implementation of AI and GenAI solutions. What You Will Do Design, develop, and implement Natural Language Processing solutions leveraging Python and associated frameworks. Work on Generative AI models, specifically Retrieval Augmented Generation (RAG), Agentic workflows, LLM finetuning etc to create innovative and effective solutions, ensuring alignment with business goals. Utilize Large Language Models for text generation, summarization, and related applications. Development, and implementation of machine learning models and algorithms. Develop and deploy solutions on the Azure/AWS cloud platform, ensuring scalability, reliability, and efficiency. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Deploy machine learning models into production environments and monitor their performance. Document methodologies, processes, and results to ensure reproducibility and knowledge sharing. Mentor and guide ML engineers and data scientists, fostering a collaborative and growth-oriented team culture. Stay up to date with the latest advancements in machine learning, Generative AI and related technologies. What You Need Master’s or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8-12 years of hands-on experience in machine learning, data analysis, or software development. Strong fundamental knowledge of statistical modeling, machine learning, deep learning, Generative AI, natural language processing, computer vision etc. Proficient in programming languages such as Python and development with the opensource machine learning and Generative AI stack like pytorch, keras, scikit-learn, langchain, llamaIndex, chromaDB, qdrant, SQL, MongoDB etc. Experience with developing use-cases related to Conversational AI or Vision AI or AI enabled automation. Handson with software development best practices, including version control (Git), DevOps tools and Agile methodologies. Handson with MLOps/LLMOps tools and toolchain and their implementation for orchestration, automation, monitoring and retraining covering CI/CD/CT. Excellent problem-solving skills and ability to think critically and creatively. Strong communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Experience with big data tools and platforms, such as Hadoop, Spark, or Hive Experience with latest technologies in natural language processing or computer vision or Generative AI (RAG, Agentic workflows, multi-modal models etc) Good understanding of Responsible AI aspects like explainability , privacy preservation, bias detection etc. Published research papers or contributions to the AI/NLP community. What Makes You Eligible Be willing to travel up to 25%, domestic and international travel if required. Successfully complete a background investigation as a condition of employment What We Offer Access to employee discounts on world class HARMAN/Samsung products (JBL, Harman Kardon, AKG etc.) Professional development opportunities through HARMAN University’s business and leadership academies. Flexible work schedule with a culture encouraging work life integration and collaboration in a global environment. An inclusive and diverse work environment that fosters and encourages professional and personal development. Tuition reimbursement. “Be Brilliant” employee recognition and rewards program. You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! Important Notice: Recruitment Scams Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com' email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in '@harman.com' about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com. HARMAN is proud to be an Equal Opportunity employer. HARMAN strives to hire the best qualified candidates and is committed to building a workforce representative of the diverse marketplaces and communities of our global colleagues and customers. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.HARMAN attracts, hires, and develops employees based on merit, qualifications and job-related performance.(www.harman.com)

Role: Gen AI Engineer Location: Hyderabad Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

Role – Gen AI Engineer - Python Location - Hyderabad Mode of Interview - Virtual Interview Data - 5th June 2025 (Saturday) Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science (AI - CoE) This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses and utilize Artificial intelligence to manage, transfer or mitigate them. Incumbent is expected to be an expert of Generative AI (OpenAI API’s), Prompt Engineering, Data Science algorithms, Business Analytics and Data Manipulation. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Expertise in Python is a must. Experience with Insurance or Banking industry is a plus. This position is for an individual contributor in AI and Data Science, who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading AI-based tools. We will count on you to Understand and refine the Math and Statistics behind the complex AI models Build AI and machine learning algorithms based on the business ask Keep up pace with new trends in the AI world Mine and analyze data to drive optimization and implement business strategies Deploy API’s on the cloud platforms by understanding the technical ask Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development What you need to have: Develops solutions based on Large Language Models, Advanced transformers, Advanced deep learning/Neural networks models Expertise in image based advanced models, Object detection, Video/Image processing, multimodal RAG’s and other image and video models Develops and deploys API based business solutions on AWS platforms Coordinates with technology colleagues within and outside the team for support, manage, enhance and retrains deployed models Keeps pace with the fast-evolving world of AI, large language models and other type of AI solutions in the market and able to apply research level knowledge to benefit Marsh advisory businesses Designs, develops and contributes to Data architecture for complex enterprise level applications Deploys solutions on AWS cloud platforms Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds AI/ML models, and finalizes with results that unlock insight for clients/colleagues, deploy these solutions on web framework and enterprise wide platforms Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization Stays current with ongoing research in the field and brings new approaches to the team Coaches team members on the delivery of AI-based tools and analyses and presentation of findings Master’s Degree in Engineering, Computer Science, Data Science or related field 7+ years of experience in the field of Data Science, AI research or similar fields Expert Data Scientist, including expertise with AI and machine learning model building Ability to influence others within and outside of the job function regarding approach and procedures Superior detail orientation, excellent communication and interpersonal skills Expertise of modern programming languages such as Python, including NumPy, Keras, TensorFlow, SQL, and PyTorch etc Familiar with Hugging face and is library of models What makes you stand out? Building, training and deploying advanced models from the scratch to the production Business impact with AI models Understanding of insurance and risk management Knowledge and demonstrated experience of advance AI concepts like training language, voice, image or computer vision models Experience of building data visualization in Plotly/Dash/D3.js Hands on experience with stochastic or econometric modelling Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person. R_308144

Objectives of this role Design and develop machine learning algorithms and deep learning applications and systems for Inturai Solve complex problems with real time digital signal data processing (DSP), and optimize existing machine learning libraries and frameworks. Collaborate with product, data scientists, architects, engineers, and SME in integrating and deploying models in production systems. Identify differences in data distribution, operating environment that could potentially affect model performance in real-world applications. Test and Ensure algorithms generate predictable outcomes. Stay up to date with developments in the machine learning industry Responsibilities Study and transform DSP, data science prototypes and apply appropriate machine learning algorithms and tools to create ML models. Run machine learning tests and experiments, and document findings and results Train/retrain, and monitor machine learning systems and models as needed Construct optimized data pipelines to feed machine learning models Consult with managers, SMEs to determine and refine machine learning objectives Extend existing machine learning libraries and frameworks Skills and qualifications Computer programming skills together with understanding of Signal Processing (RF and WiFi Channel State Information). Good math with a deep understanding of probability, statistics, and ML algorithms. In-depth knowledge of machine learning frameworks based on like Keras/Tensorflow/SenseFi/PyTorch. Experience in working with RF/WiFi enabled SBC hardware. Familiarity with data structures, data modeling, and software architecture Impeccable analytical and problem-solving skills Excellent time management and organizational skills Desire to learn Preferred qualifications Bachelors degree (or equivalent) in Electronics, Computer Science, or related field. Proven experience as a machine learning engineer or similar role Experience with Tensor, Python, Java, and R based implementations Experience with Digital signal processing Experience in building and consuming APIs Excellent communication and collaboration skills General knowledge of building machine learning systems Innovative mind with a passion for continuous learning

Role: Gen AI Engineer Location: Hyderabad Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients