659 Opencv Jobs - Page 22

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

OrangeMantra is looking for AI/ML Engineer to join our dynamic team and embark on a rewarding career journey We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis Responsibilities:Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions Translate business requirements into machine learning objectives Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training Address data quality issues and ensure data readiness for machine learning tasks Model Development:Develop and implement machine learning models using state-of-the-art algorithms Experiment with different models and approaches to achieve optimal performance Training and Evaluation:Train machine learning models on diverse datasets and fine-tune hyperparameters Evaluate model performance using appropriate metrics and iterate on improvements Deployment:Deploy machine learning models into production environments Collaborate with DevOps and IT teams to ensure smooth integration Monitoring and Maintenance:Implement monitoring systems to track model performance in real-time Regularly update and retrain models to adapt to evolving data patterns Documentation:Document the entire machine learning development pipeline, from data preprocessing to model deployment Create user guides and documentation for end-users and stakeholders Collaboration:Collaborate with data scientists, software engineers, and domain experts to achieve project goals Participate in cross-functional team meetings and knowledge-sharing sessions

Job Details: Results-oriented and technically proficient Senior Python Developer with 6 to 8 years of hands-on experience in backend development using Django framework . Proven expertise in designing and building scalable web applications, robust RESTful APIs, AI-driven solutions, and content management systems (CMS). Adept at image and video processing, system integration, and working in cross-functional teams. Skilled at collaborating directly with frontend developers, DevOps engineers, and business stakeholders to deliver value-driven solutions aligned with organizational goals. Core Competencies: Backend Development : Python, Django, Django Rest Framework (DRF), Flask API Development : RESTful APIs, GraphQL, AI/ML Integration : OpenCV, TensorFlow, PyTorch, scikit-learn Image & Video Processing : OpenCV, PIL, FFmpeg, MediaPipe Databases : PostgreSQL, MySQL, SQLite, MongoDB Cloud & DevOps : GCP, Docker, Git Frontend Collaboration : HTML, CSS, JavaScript, React (basic) Tools : Postman, Swagger, GitHub Project Management : Agile/Scrum, Jira Roles & Responsibilities: Develop and maintain scalable web applications using Python and Django . Design and implement RESTful APIs and backend services for web/mobile applications. Build and integrate AI and ML components , especially in image classification, face/object detection, or recommendation systems. Work with image and video processing tools to support media-rich applications. Develop and manage CMS-based platforms using Django-CMS or Wagtail. Collaborate with frontend developers to deliver seamless user experiences. Coordinate directly with product owners and business teams to understand requirements and propose effective solutions. Optimize application performance, ensure security best practices, and manage deployment pipelines. Lead and mentor junior developers, review code, and drive project delivery. Professional Experience: 6 to 8 years of solid experience in full-stack or backend-focused development roles. Proven experience working on AI/ML modules, media processing, and CMS-driven platforms. Educational Qualification: Bachelors or Masters degree in Computer Science / IT or related technical field.

Professional Summary : Experienced and versatile Senior Full Stack Developer with 6 to 8 years of expertise in building scalable, secure, and dynamic web applications. Proficient in frontend and backend technologies, API development, AI-driven functionalities, and media-intensive features such as image and video processing . Skilled in developing CMS-based solutions, integrating AI/ML models, and coordinating directly with business stakeholders, UI/UX teams, and DevOps for end-to-end product development. Core Competencies : Frontend Development : HTML5, CSS3, JavaScript (ES6+), Bootstrap React.js Responsive and cross-browser design REST API & GraphQL integration Backend Development : Node.js, Django, Python PostgreSQL, MongoDB, MySQL Redis, Kafka AI & Media Work : AI/ML Integration using TensorFlow, PyTorch, or scikit-learn Image & Video Processing using OpenCV, FFmpeg, PIL Face detection, object recognition, media tagging pipelines DevOps & Tools : GCP, Docker, Git, CI/CD pipelines, Version Control (GitHub/Bitbucket) Roles & Responsibilities : Design, develop, and maintain full stack applications across multiple platforms. Build robust and reusable APIs for internal and external use. Implement AI-driven features such as recommendation systems, classification engines, or computer vision components. Manage image and video processing pipelines for media-rich applications. Develop custom CMS solutions tailored for content-heavy websites or SaaS platforms. Collaborate with UI/UX designers, frontend/backend developers, QA engineers, and DevOps teams. Communicate directly with business owners and product managers to gather requirements and translate them into functional deliverables. Ensure performance, scalability, and security best practices in development and deployment. Mentor junior developers, perform code reviews, and lead technical discussions. Professional Experience : Proven ability to lead projects from concept to deployment, especially in domains involving AI, media, and CMS.

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 : Data Science Good to have skills : NAMinimum 3 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 technologies, including deep learning, neural networks, and image processing, while also exploring the integration of generative AI models into your projects. Collaboration with team members and stakeholders will be essential as you contribute to innovative solutions that address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.- Conduct research and stay updated on the latest advancements in AI and machine learning technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Good To Have Skills: Experience with machine learning frameworks such as TensorFlow or PyTorch.- Strong understanding of data preprocessing techniques and feature engineering.- Experience in deploying machine learning models in cloud environments.- Familiarity with programming languages such as Python or R. Additional Information:- The candidate should have minimum 3 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Company Profile Overview Since year 2003, Oceaneering’s India Center has been an integral part of operations for Oceaneering’s robust product and service offerings across the globe. This center caters to diverse business needs, from oil and gas field infrastructure, subsea robotics to automated material handling & logistics. Our multidisciplinary team offers a wide spectrum of solutions, encompassing Subsea Engineering, Robotics, Automation, Control Systems, Software Development, Asset Integrity Management, Inspection, ROV operations, Field Network Management, Graphics Design & Animation, and more. In addition to these technical functions, Oceaneering India Center plays host to several crucial business functions, including Finance, Supply Chain Management (SCM), Information Technology (IT), Human Resources (HR), and Health, Safety & Environment (HSE). Our world class infrastructure in India includes modern offices, industry-leading tools and software, equipped labs, and beautiful campuses aligned with the future way of work. Oceaneering in India as well as globally has a great work culture that is flexible, transparent, and collaborative with great team synergy. At Oceaneering India Center, we take pride in “Solving the Unsolvable” by leveraging the diverse expertise within our team. Join us in shaping the future of technology and engineering solutions on a global scale. Position Summary Position Summary and Location The Senior Data Scientist will develop integrated Machine Learning and/or Deep Learning based solutions on products that address customer needs in operations such as inspection topside and subsea. He/She will also be responsible for development of machine vision algorithms for automation and development of data analytics programs for Oceaneering’s next generation systems. The position requires the Senior Data Scientist to work with various Oceaneering Business units across global time zones but also offers the flexibility to work in a Hybrid Work-office environment. Duties And Responsibilities Duties and Responsibilities Essential Lead and supervise a team of entry level engineers on product/prototype design & development assignments or applications in the Software/Computer Vision/Machine learning/Deep learning domain. Develop robust computer vision algorithms that will be deployed in existing and new products. Take ideas and algorithms from first conception to real-world, real-time implementation and deployment. Conduct advanced research, benchmark and implement Computer Vision, Image processing and Deep Learning algorithms for integration into Company products. Innovate, adopt and develop algorithms and solutions to advance Object tracking and classification. Iteratively develop proof-of-concept implementations, prototypes and demos to fine-tune technologies to practical, state of the art systems Support the technical direction and strategy for solving complex, significant, or major issues. Prepares design proposals to reflect cost, schedule and technical approaches. Work with third parties to utilize off-the-shelf industrial solutions. Work directly with software engineers to implement algorithms into commercial software products. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Build data models and organize structured and unstructured data to interpret solutions. Develop scalable infrastructure, including microservices and backend, that automates training and deployment of ML models. Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs and understanding theirs and address external and internal shareholder's product challenges. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Perform all other duties as requested, directed or assigned Non-essential Develop an awareness of programming and design alternatives Cultivate and disseminate knowledge of application development best practices Gather statistics and prepare and write reports on the status of the programming process for discussion with management and/or team members Direct research on emerging application development software products, languages, and standards in support of procurement and development efforts Train, manage and provide guidance to junior staff Supervisory Responsibilities This position has/does not have direct supervisory responsibilities. Reporting Relationship Manager - AIML Engineering Qualifications Qualifications Required Bachelor’s degree in Computer Science or Software Engineer (or related field) with five or more years of past experience working on Computer Vision and Deep Learning based projects OR Master’s degree in Computer Science or Software Engineering (or related field) with three or more years of past experience working on Computer Vision and Deep Learning based projects Technically fluent in programming languages, including C, C++, Java, C# and other object oriented paradigms Competent and proficient understanding of platforms such as UNIX (Solaris and Linux) and Windows Hands-on software troubleshooting experience Edge based and/or cloud based AI/ML Code deployment experience (DevOps) Experience with Azure Cloud based ML services Must be able to learn, understand, and apply new technologies Strong coding skills. Experience in computer vision, image processing and other related applied engineering fields. DESIRED Knowledge of git and version control Familiarity with NVIDIA's Jetson Board & Deep Stream Framework on Linux/Ubuntu machines Demonstrated strong capability in statistical/Mathematical modelling or Machine Learning or Artificial Intelligence with Demonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/ML based programming languages in Python Knowledge of inner working of any vision software (such as OpenCV, PCL, CNN) Knowledge of Machine Learning, Natural Language Processing, Large Scale Data Mining or Artifical Intelligence Passion to develop novel robotics solutions applying the skills in computer vision, AI and Deep Learning Strong background in mathematics and/or statistics is highly desirable. Knowledge, Skills, Abilities, And Other Characteristics Ability to analyze situations accurately, utilizing a variety of analytical techniques in order to make well informed decisions Ability to effectively prioritize and execute tasks in a high-pressure environment Skill to gather, analyze and interpret data. Ability to determine and meet customer needs Ensures that others involved in a project or effort are kept informed about developments and plans Knowledge of communication styles and techniques Ability to establish and maintain cooperative working relationships Skill to prioritize workflow in a changing work environment Knowledge of applicable data privacy practices and laws Strong analytical and problem-solving skills. Additional Information Working Conditions This position is considered OFFICE WORK which is characterized as follows. Almost exclusively indoors during the day and occasionally at night Occasional exposure to airborne dust in the workplace. Work surface is stable (flat) Physical Activity/Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This position is considered LIGHT work. OCCASIONAL FREQUENT CONSTANT Lift up to 20 pounds Climbing, stooping, kneeling, squatting, and reaching Lift up to 10 pounds Standing Repetitive movements of arms and hands Sit with back supported Closing Statement Career Development In addition, we make a priority of providing learning and development opportunities to enable employees to achieve their potential and take charge of their future. As well as developing employees in a specific role, we are committed to lifelong learning and ongoing education, including developing people skills and identifying future supervisors and managers. Every month, hundreds of employees are provided training, including HSE awareness, apprenticeships, entry and advanced level technical courses, management development seminars, and leadership and supervisory training. We have a strong ethos of internal promotion. We can offer long-term employment and career advancement across countries and continents. Working at Oceaneering means that if you have the ability, drive, and ambition to take charge of your future-you will be supported to do so and the possibilities are endless. Equal Opportunity/Inclusion Oceaneering’s policy is to provide equal employment opportunity to all applicants. Show more Show less

We're seeking an experienced engineer with expertise in computer vision, deep learning, and AI to drive impactful solutions. Key Responsibilities Algorithm Development : Design and optimize computer vision and deep learning algorithms for 3D applications. Model Deployment : Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment on edge devices after optimization to meet customer requirements Research and Innovation : Prototype new solutions based on the latest advancements in AI, machine learning, and computer vision. Cross-Functional Collaboration : Integrate algorithms into 3D rendering systems and work closely with the team to meet project goals Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints Documentation : Maintain code quality and document solutions for easy reference. Qualifications Experience : 3 or 3+ years in computer vision, deep learning, and AI. Education : Bachelor's or Master's in Computer Science, Data Science, Electrical Engineering, or related field. Technical Skills Proficiency in C, C++, OpenGL, Objective C, Swift, Python, PyTorch, TensorFlow, and OpenCV. Understanding about depth and breadth of computer vision and deep learning algorithms. Knowledge of algorithms and data structures relevant to computer vision. Hands-on experience with NVIDIA platforms IGX, Jetson, or Xavier (Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit) Concepts of parallel architecture on GPU is an added advantage. Knowledge in linear algebra, calculus, and statistics Preferred : Knowledge of AR/VR, 3D vision, and AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes)

Position: Tech Lead / Software Architect Location: Mumbai Experience: 3-5 years Type: Full-Time About Us We’re a med-tech innovation company transforming healthcare workflows with real-time diagnostic platforms built on custom hardware and intelligent software. Our stack integrates Python, Flask, PyQt, Chromium interfaces, and USB-driven embedded systems to capture and process clinical data at the point of care. We are now expanding into AI-powered services — from computer vision and ML-based analytics to LLM-driven interfaces — all working in harmony with our core platform. Role Overview As Tech Lead / Software Architect , you will be the cornerstone of our software architecture. You will lead the core team that develops and maintains the software platform, while also orchestrating the seamless integration of AI, ML, and CV modules developed by a specialized team. You’ll ensure the system remains scalable, real-time, and production-ready, supporting complex patient interactions and medical workflows. Key Responsibilities ● Lead the architectural design and codebase modernization of our real-time healthcare platform. ● Guide integration of Python + Flask APIs, PyQt GUIs, Chromium-based web frontends, and USB device data streams. ● Collaborate with ML/CV/LLM teams to embed intelligence layers , such as: o CV models for image analysis from embedded devices o ML-based analytics for health data scoring and risk flags o LLM-driven Retrieval-Augmented Generation (RAG) services for clinician support ● Build and maintain core algorithms for signal processing, feature extraction, and health data visualization. ● Oversee internal and external contributors, ensuring modular, testable, and high-performance code. ● Conduct code reviews, maintain CI/CD practices, and uphold quality, security, and compliance standards. ● Support DevOps engineers in deployment planning, updates, and monitoring in multi-OS environments. Required Skills & Experience ● 3-5+ years of experience in software architecture and backend engineering (Python). ● Strong knowledge of Flask, PyQt (or PySide), and USB communication protocols. ● Experience integrating third-party AI/ML/CV services into Python-based applications. ● Familiarity with REST APIs, WebSockets , and hybrid UI architectures (Chromium, QtWebEngine, or Electron). ● Solid grasp of performance tuning, profiling, threading, and debugging in real-time systems. ● Demonstrated ability to lead multidisciplinary teams and own technical decisions. ● Hands-on understanding of ML libraries (e.g., scikit-learn, XGBoost), image processing (OpenCV), or Hugging Face-based LLMs. ● Familiarity with compliance workflows (CE/FDA/HIPAA) and software validation in med-tech. What We Offer ● Lead role in shaping the architecture of a real-world healthtech product. ● Opportunity to integrate frontier technologies (LLM, RAG, ML, CV) into a production platform. ● Transparent and collaborative culture. ● Career track leading to CTO/Principal Engineer roles. Show more Show less

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 2-4 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

About The Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere . About The Role We are seeking a seasoned and strategic Lead Engineer with 12+ years of experience to drive the development of scalable and high-performance backend systems. As a technical leader, you will lead and mentor our talented team of software engineers, architect robust solutions and collaborate across teams to ensure delivery of enterprise-grade software products. If you are a highly motivated individual with a passion for cutting-edge AI, cloud, edge, and infrastructure technology and are ready to take on the challenge of defining and delivering a new computing and AI platform, we would love to hear from you. Location. This role is office-based at our Trivandrum, Kerala office. What You'll Do (Key Responsibilities) Lead and manage a team of software engineers, providing guidance, support, and mentorship to foster a collaborative and high-performing environment. Lead the design, development, and deployment of complex Java/Python based applications and microservices. Architect scalable, maintainable, and secure backend solutions. Provide technical leadership and mentorship to the engineering team. Collaborate closely with cross-functional teams, including product management, design, and QA, to align engineering goals with overall business objectives Ensure adherence to best practices in software development, code quality, and testing. Conduct design and code reviews and facilitate knowledge sharing. Drive continuous improvement of engineering processes, tools, and systems. Troubleshoot and resolve production issues with a focus on root cause analysis and long-term fixes. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 12+ years of professional experience in software development with a strong focus on Java and Python. Extensive experience with Spring/Spring Boot, Hibernate/JPA, and related Java frameworks. Experience in developing core Python applications for computer vision, video processing (e.g., OpenCV, FFmpeg, GStreamer), and performance optimization for compute-intensive workloads. Hands-on experience in cloud-native application development using Kubernetes, including container orchestration, service discovery, scaling, and deployment automation. Deep understanding of microservices architecture, RESTful APIs, and design patterns. Strong experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Redis). Proficient in CI/CD practices and tools (e.g., Jenkins, Git, Maven, Docker, Kubernetes). Familiarity with cloud platforms such as AWS, GCP, or Azure. Excellent problem-solving skills, analytical thinking, and communication abilities. Preferred Qualifications Experience leading distributed or cross-functional teams. Hands-on experience with real-time data streaming and processing using Kafka and Apache Flink. Exposure to domain-driven design and event-driven architectures. Experience integrating AI/ML models into production systems and implementing MLOps pipelines for model deployment, monitoring, and lifecycle management. Contributions to open-source projects or technical publications. Compensation & Benefits For India-based candidates: We offer a competitive base salary along with equity options, providing an opportunity to share in the success and growth of Armada. You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time. Show more Show less

We are looking for a Document Extraction and Inference Engineer with expertise in traditional machine learning algorithms and rule based NLP techniques. The ideal candidate will have a strong foundation in document processing, structured data extraction, and inference modeling using classical ML approaches. You will work on designing, implementing, and optimizing document extraction pipelines for various applications, ensuring accuracy and efficiency. Key Responsibilities Develop and implement document parsing and structured data extraction techniques. Utilize OCR (Optical Character Recognition) and pattern-based NLP for text extraction. Optimize rulebased and statistical models for document classification and entity recognition. Design feature engineering strategies for improving inference accuracy. Work with structured and semistructured data (PDFs, scanned documents, XML, JSON). Implement knowledgebased inference models for decisionmaking applications. Collaborate with data engineers to build scalable document processing pipelines. Conduct error analysis and improve extraction accuracy through iterative refinements. Stay updated with advancements in traditional NLP and document processing techniques. Required Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field. 3+ years of experience in document extraction and inference modeling. Strong proficiency in Python and ML libraries (Scikit-learn, NLTK, OpenCV, Tesseract). Expertise in OCR technologies, regular expressions, and rule-based NLP. Experience with SQL and database management for handling extracted data. Knowledge of probabilistic models, optimization techniques, and statistical inference. Familiarity with cloud-based document processing (AWS Textract, Azure Form Recognizer). Strong analytical and problem-solving skills. Preferred Qualifications Experience with graphbased document analysis and knowledge graphs. Knowledge of time series analysis for document-based forecasting. Exposure to reinforcement learning for adaptive document processing. Understanding of the credit / loan processing domain. Location: Chennai, India Show more Show less

Lead Engineer (Java/Python) Thiruvananthapuram Office, AEDGE AICC India Pvt Ltd About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere . About the role We are seeking a seasoned and strategic Lead Engineer with 12+ years of experience to drive the development of scalable and high-performance backend systems. As a technical leader, you will lead and mentor our talented team of software engineers, architect robust solutions and collaborate across teams to ensure delivery of enterprise-grade software products. If you are a highly motivated individual with a passion for cutting-edge AI, cloud, edge, and infrastructure technology and are ready to take on the challenge of defining and delivering a new computing and AI platform, we would love to hear from you. Location. This role is office-based at our Trivandrum, Kerala office. What You'll Do (Key Responsibilities) Lead and manage a team of software engineers, providing guidance, support, and mentorship to foster a collaborative and high-performing environment. Lead the design, development, and deployment of complex Java/Python based applications and microservices. Architect scalable, maintainable, and secure backend solutions. Provide technical leadership and mentorship to the engineering team. Collaborate closely with cross-functional teams, including product management, design, and QA, to align engineering goals with overall business objectives Ensure adherence to best practices in software development, code quality, and testing. Conduct design and code reviews and facilitate knowledge sharing. Drive continuous improvement of engineering processes, tools, and systems. Troubleshoot and resolve production issues with a focus on root cause analysis and long-term fixes. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 12+ years of professional experience in software development with a strong focus on Java and Python. Extensive experience with Spring/Spring Boot, Hibernate/JPA, and related Java frameworks. Experience in developing core Python applications for computer vision, video processing (e.g., OpenCV, FFmpeg, GStreamer), and performance optimization for compute-intensive workloads. Hands-on experience in cloud-native application development using Kubernetes, including container orchestration, service discovery, scaling, and deployment automation. Deep understanding of microservices architecture, RESTful APIs, and design patterns. Strong experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Redis). Proficient in CI/CD practices and tools (e.g., Jenkins, Git, Maven, Docker, Kubernetes). Familiarity with cloud platforms such as AWS, GCP, or Azure. Excellent problem-solving skills, analytical thinking, and communication abilities. Preferred Qualifications Experience leading distributed or cross-functional teams. Hands-on experience with real-time data streaming and processing using Kafka and Apache Flink. Exposure to domain-driven design and event-driven architectures. Experience integrating AI/ML models into production systems and implementing MLOps pipelines for model deployment, monitoring, and lifecycle management. Contributions to open-source projects or technical publications. Compensation & Benefits For India-based candidates: We offer a competitive base salary along with equity options, providing an opportunity to share in the success and growth of Armada. #LI-JV1 #LI-Onsite You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.

Job Information Company Yubi Date Opened 05/28/2025 Job Type Full time Work Experience 6-10 years Industry Technology City Chennai State/Province Tamil Nadu Country India Zip/Postal Code 600001 About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. Job Description About Yubi Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any and all capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset based securitization Spocto - Debt recovery & risk mitigation platform Corpository - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises So far, we have on-boarded over 17000+ enterprises, 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story. About the Role We're looking for a highly skilled, results-driven AI Developer who thrives in fast-paced, high-impact environments. If you are passionate about pushing the boundaries of Computer Vision, OCR, NLP and and Large Language Models (LLMs) and have a strong foundation in building and deploying AI solutions, this role is for you. As a Lead Data Scientist, you will take ownership of designing and implementing state-of-the-art AI products. This role demands deep technical expertise, the ability to work autonomously, and a mindset that embraces complex challenges head-on. Here, you won't just fine-tune pre-trained models—you'll be architecting, optimizing, and scaling AI solutions that power real-world applications. Key Responsibilities Architect, develop, and deploy high-performance AI Solutions for real-world applications. Implement and optimize state-of-the-art LLM , OCR models and frameworks. Fine-tune and integrate LLMs (GPT, LLaMA, Mistral, etc.) to enhance text understanding and automation. Build and optimize end-to-end AI pipelines, ensuring efficient data processing and model deployment. Work closely with engineers to operationalize AI models in production (Docker, FastAPI, TensorRT, ONNX). Enhance GPU performance and model inference efficiency, applying techniques such as quantization and pruning. Stay ahead of industry advancements, continuously experimenting with new AI architectures and training techniques. Work in a highly dynamic, startup-like environment, balancing rapid experimentation with production-grade robustness. What We're Looking For Requirements Required Skills & Qualifications: Proven technical expertise – Strong programming skills in Python, PyTorch, TensorFlow with deep experience in NLP and LLM Hands-on experience in developing, training, and deploying LLM and Agentic workflows Strong background in vector databases, RAG pipelines, and fine-tuning LLMs for document intelligence. Deep understanding of Transformer-based architectures for vision and text processing. Experience working with Hugging Face, OpenCV, TensorRT, and NVIDIA GPUs for model acceleration. Autonomous problem solver – You take initiative, work independently, and drive projects from research to production. Strong experience in scaling AI solutions, including model optimization and deployment on cloud platforms (AWS/GCP/Azure). Thrives in fast-paced environments – You embrace challenges, pivot quickly, and execute effectively. Familiarity with MLOps tools (Docker, FastAPI, Kubernetes) for seamless model deployment. Experience in multi-modal models (Vision + Text). Good to Have Financial background and understanding corporate finance . Contributions to open-source AI projects.

Specializing in camera, display, audio, and video technologies. In this role, you will design, implement, and optimize multimedia features for our products, ensuring high-quality user experiences. You will work closely with hardware and software teams to integrate multimedia components effective Education : Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. Technical Skills : - Proficiency in programming languages such as C/C++ and Python. - Strong understanding of multimedia frameworks (e.g., GStreamer, OpenCV, FFmpeg). - Experience with camera and display technologies, including calibration and optimization techniques. - Familiarity with audio processing libraries and standards (e.g., ALSA, OpenAL). - Knowledge of video compression standards (e.g., H.264, HEVC) and streaming protocols (e.g., RTP, RTSP). - Experience working in any Multimedia drivers ( Audio, Video/OMX , Display, Graphics, Camera) - Knowledge of respective Multimedia HAL - Strong knowledge in Linux/QNX - Experience in working on any Linux/Android Drivers - ALSA, ADSP, Routing, Tuning, Android Audio Framework, HAL, Linux Kernel Drivers, AMS, MDF, GEF Effectsm Audio CarPlay/Android Auto, SVA, TDM, I2S - Video FWK, Android Video, Accelerator, V4L2, Video Kernel Driver - Good Knowledge of any of Video Codecs like MPEG2/4/H264/H265/VP8/VP9/AV1. - Embedded Android, Android FWK/Native (Android Arch - AIDL/HIDL, Treble. xTS), HAL, Linux Kernel Device Driver - Android Build system, Soong, BAZEL; - System Feature - Boot Optimizations, Early Services (RVC, Audio etc.,), Power & Thermal Feature Enablement, System Stability (Triage Tombstones/ANRs/FWR) Role : - The engineer is expected to contribute to advanced software development environment facilitating board bring-up, development, and delivery. - The engineer is expected to develop and debug software prototypes including device driver software - Software System development and bug fixing on Automotive Chipsets for products based on Android/Linux/QNX OS platforms. - Development and implementation of an efficient and transparent variant handling and re-use concept for the platform

Programming: C++ / Python (must have) Robotics & Systems Integration: e.g. ROS, Networking, Security, Embedded CI/CD: e.g. Jenkins, GitHub Action (GHA), CircleCI Containerization Orchestration: e.g. Docker, Kubernetes, AWS, Azure Required Candidate profile 3 yrs Exp as a system integration engineer Exp in C++ & Python Linux: e.g. Bash, GDB Computer Vision/ML: Tensorflow, PyTorch, OpenCV Mechanical Design: AutoCAD, SolidWorks

Build & deploy real-time ML/AI models, analyze data, prototype features, and integrate AI via OpenAI/Gemini APIs. Req: Python, Java, TF, AWS, NLP, pipelines, comms. Bonus: MLOps, LLMs, certs. Bachelors+ in CS/Data Science preferred. Accessible workspace

Job Description : - At least 2 years of experience in computer vision and or deep learning for object detection. - Proficiency in Python and related packages like numpy, scikit-image, PIL, opencv, matplotlib, seaborn, etc. and frameworks like Django or Flask. - Experience with OCR and NLP would be an added advantage. - Experience with any machine deep learning frameworks like Tensorflow, Keras, Scikit-Learn and PyTorch. - Experience in training models through GPU computing. - Ability to transform research articles into the working solutions to solve real-world problems. Strong experience in using both basic and advanced image processing algorithms for feature engineering Requirement : - Proven experience as a Data Scientist - Understanding of machine-learning - Experience using business intelligence tools - Analytical mind and business acumen - Strong math skills (e.g. statistics, algebra) - Problem-solving aptitude - Excellent communication and presentation skills - BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Job TitleData Scientist (OpenCV) Experience0"“1 Year LocationBangalore Notice PeriodImmediate Joiner Job Summary We are seeking a highly motivated and enthusiastic Data Scientist with a passion for computer vision and hands-on experience in OpenCV This is an excellent opportunity for recent graduates or early-career professionals to contribute to real-world projects involving image processing, computer vision, and machine learning. Key Responsibilities Work on image and video processing projects using OpenCV and Python. Assist in developing computer vision models for object detection, recognition, and tracking. Preprocess and analyze image datasets to extract meaningful insights. Collaborate with senior data scientists and engineers to integrate models into production environments. Conduct experiments and contribute to research-oriented tasks in the field of computer vision. Document processes, models, and results for internal review and external presentation. Required Skills Strong knowledge of OpenCV and image processing techniques. Proficiency in Python and related libraries (e.g., NumPy, Pandas, Matplotlib). Understanding of basic machine learning and deep learning concepts. Familiarity with tools like Jupyter Notebooks, TensorFlow, or PyTorch is a plus. Good problem-solving skills and attention to detail. Excellent communication and teamwork skills. Preferred Qualifications Bachelor's degree in Computer Science, Data Science, Electrical Engineering, or a related field. Internship or academic project experience in computer vision or image processing. Exposure to cloud platforms (AWS, GCP, Azure) is a plus. What We Offer A collaborative and learning-driven environment. Mentorship from experienced professionals. Opportunity to work on innovative projects with real-world impact. Competitive salary and benefits. Show more Show less

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. We are seeking a highly skilled and experienced AI/ML Engineering Manager and Technical Specialist to lead our team of dedicated professionals. The ideal candidate will have 8-14 years of hands-on experience in artificial intelligence and machine learning, with a proven track record of managing complex projects and driving innovation. This role requires a blend of technical expertise, leadership capabilities, and strategic vision to advance our AI/ML initiatives and deliver impactful solutions. Primary Responsibilities Leadership and Management Lead and mentor a team of AI/ML engineers and data scientists, fostering a collaborative and high-performance work environment Oversee the planning, execution, and delivery of AI/ML projects, ensuring alignment with company goals and timelines Collaborate with cross-functional teams including product managers, software engineers, and business stakeholders to define project requirements and deliverables Conduct regular performance evaluations, provide feedback, and identify opportunities for professional growth and development Technical Expertise Design and implement state-of-the-art AI/ML models and algorithms to solve complex business problems Stay abreast of the latest advancements in AI/ML technologies and best practices, ensuring the team adopts cutting-edge methodologies Lead the development and optimization of data pipelines, ensuring data quality and integrity throughout the AI/ML lifecycle Evaluate and select appropriate tools, frameworks, and platforms to enhance the efficiency and scalability of AI/ML solutions Strategic Vision Develop and execute a comprehensive AI/ML strategy that aligns with the company's long-term objectives and market trends Identify new opportunities for AI/ML applications and drive innovation to maintain a competitive edge Collaborate with senior leadership to secure resources and funding for AI/ML initiatives Represent the company in industry conferences, workshops, and other forums to showcase our AI/ML capabilities and thought leadership Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. A Ph.D. (a plus) 8+ years of experience in AI/ML development, with at least 3 years in a managerial or leadership role Proven experience in designing, developing, and deploying AI/ML models in real-world applications Solid programming skills in languages such as Python, R, or Java, and proficiency with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn Proven excellent problem-solving skills, with the ability to think critically and strategically about AI/ML solutions Proven outstanding communication and interpersonal skills, with the ability to effectively convey technical concepts to non-technical stakeholders Preferred Qualifications Experience with big data technologies such as Hadoop, Spark, or Kafka Familiarity with cloud platforms like AWS, Google Cloud, or Azure, and their AI/ML services Background in natural language processing (NLP), computer vision, or reinforcement learning Demonstrated ability to manage multiple projects and priorities in a fast-paced environment Published research papers or patents in the field of AI/ML

Optum AI is UnitedHealth Group’s enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. Optum AI Team Members Have impact at scaleWe have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone. Do ground-breaking workMany of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development. Partner with world-class experts on innovative solutionsOur team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world’s top universities. OptumAI is looking for a Senior Machine Learning Engineer with deep subject matter expertise in text processing, NLU and SLU (Natural language understanding and Spoken Language Understanding) who will be part of a team leading the technical development and inventions that allow Optum machine learning products drive positive impact in the healthcare business. Your expertise will bring business and industry context to science and technology decisions. As part of the OptumAI AI/ML engineering group, you set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your code, designs and documents are exemplary and are used as references across the organization. A successful candidate is a hands-on AI/ML engineering expert that will tackle intrinsically hard problems, acquiring expertise as needed. The candidate will help decompose complex problems into straightforward solutions. Primary Responsibilities Help design and develop the next generation of NLP, ML & AI products, and services for healthcare Develop machine learning and deep learning models and systems in domains including, but not limited toNLP, NLU, NLG, SLU and multidimensional time series forecasting among others Exposure in RAG, LangChain, VectorDBs Ability to Quantize, Optimize GenAI models Manage NLP & ML models lifecycle for a suite of products Run large complex proof-of-concepts for the healthcare business Manage prioritization and technology work for building NLP, ML & AI solutions Lead the full end-to-end machine learning development process including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation Establish best practices for end-to-end deep learning and machine learning development cycle to ensure rigor in process and quality in outcome Work with a great deal of autonomy to find solutions to complex problems 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 Graduate degree in applicable area of expertise or equivalent experience Experience in deploying scalable solutions to complex problems, from defining the problem, implementing the solution, and launching the new product successfully Skill Set; NLP, NLU, NLI ArchitectureTransformers, Attention ModelsGPT, Llama, Mistral Model Quantization Model Optimization Retrieval & Ranking, RAG, RAGAS Statistics, Machine Learning Models, Model Deployment Proven excellent communication, writing and presentation skills Experience in the health care industry Preferred Qualification Experience in the health care industry 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. #Nic

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: Lead and manage a team of data scientists, fostering a collaborative and innovative environment Oversee the design and development of predictive models and machine learning algorithms Collaborate with business stakeholders to understand and define their data needs Translate business problems into data-driven solutions, presenting complex results in a clear and actionable manner Monitor model performance and continuously improve the accuracy of predictions and insights Maintain up-to-date knowledge of the latest data science trends and technologies, implementing new methodologies as appropriate Promote data literacy throughout the organization, educating staff on how to use data to drive decision-making Ensure data integrity and compliance with privacy regulations 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 Qualifications Required Qualifications: Bachelor of Engineering or equivalent 10+ years of total experience Coding Python, pandas, numpy Math behind ML and DL algorithms Basics of Statistics ML and DL concepts Preferred Qualification: Exposure GenAI and LLMs 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.