About Eternal Robotics – Hypervise Hypervise is the flagship industrial AI platform of Eternal Robotics, built to transform real-time quality inspection and automation through advanced computer vision and edge AI. Our clients span automotive, apparel, pharmaceuticals, and more — industries where speed, accuracy, and reliability are mission-critical. Role Overview We are looking for a Computer Vision Engineer – II with 3–6 years of experience to develop and deploy production-grade CV solutions across our customer sites. This role combines hands-on development of models and algorithms with end-to-end ownership of system integration, testing, and deployment in real-world industrial environments. You will work closely with senior engineers, product leads, and customer teams to bring CV/AI projects to life and continuously improve solution performance. Key Responsibilities 1. Model Development & Testing Build and optimize deep learning models for object detection, segmentation, and classification. Use frameworks like YOLO, OpenCV, TensorFlow, and PyTorch to deliver high-performing models. Validate model accuracy against customer specifications and datasets. 2. CV Pipeline Implementation Develop modular and maintainable computer vision pipelines using Python. Integrate pre-processing, inference, and post-processing components for edge and server-side deployments. 3. Hardware & Deployment Support Work with industrial cameras, Jetson edge devices, and Linux-based systems for field deployment. Support hardware selection and calibration, assist with on-site installations and provide deployment troubleshooting. 4. Testing & Quality Assurance Write and execute test cases to ensure system functionality and robustness in diverse environments. Collaborate with QA and support teams to resolve performance issues. 5. Documentation & Collaboration Document architecture, model performance, and system configurations. Participate in code reviews and peer programming sessions. Coordinate with team leads and project managers to align with delivery timelines. Qualifications & Experience Education: Bachelor’s in Computer Science, Electronics, or related engineering field. Master’s degree or certifications in AI/ML is a plus. Experience: 3–6 years of hands-on experience in computer vision development, preferably in industrial or real-time environments. Key Technical Skills Proficiency in Python and OpenCV. Experience with deep learning libraries: PyTorch, TensorFlow, Keras. Familiarity with YOLO models (v5/v8), CNNs, object tracking, and segmentation. Working knowledge of Linux environments, Git, and basic shell scripting. Experience with Jetson Nano/Xavier, DeepStream SDK is preferred. Understanding of camera configuration, lighting setups, and imaging constraints. Experience deploying models on edge or embedded devices is a strong advantage. Soft Skills Strong debugging and problem-solving skills. Team player with a willingness to learn and adapt. Effective communicator capable of interfacing with both engineering and customer teams. Disciplined in documentation and reporting. Why Join Hypervise? Build solutions that are deployed across real industrial environments. Work alongside passionate technologists in a startup culture. Access to advanced tools, data, and edge-AI hardware. Be part of a company leading the industrial AI revolution. Show more Show less

Role & responsibilities Developer AI Preferred candidate profile Full Stack Development: Design, develop, and maintain web applications using Node.js and React. Backend Development: Implement server-side logic, database integration, and API development. Frontend Development: Create responsive and user-friendly interfaces using React. Predictive Modelling & Machine Learning: Develop and integrate machine learning models for predictive analysis. Computer Vision: Utilize OpenCV for image processing and computer vision tasks. Data Structures & Algorithms: Apply advanced data structures and algorithms to optimize performance and solve complex problems. Collaboration: Work closely with cross-functional teams to define, design, and ship new features. Code Quality: Write clean, maintainable, and efficient code, following best practices and coding standards. Testing & Debugging: Perform unit testing, integration testing, and debugging to ensure high-quality software delivery. Documentation: Maintain comprehensive documentation for all development work.

About Eternal Robotics – Hypervise Hypervise by Eternal Robotics is a cutting-edge industrial AI platform that enables real-time quality inspection, process control, and defect detection through advanced computer vision and deep learning technologies. We serve sectors such as automotive, apparel manufacturing, pharmaceuticals, and packaging by digitizing production lines and delivering operational efficiency through AI. Role Overview We are seeking a highly skilled and proactive Senior Computer Vision Engineer to architect and lead the development of AI-powered inspection systems and edge deployments. This is a mission-critical role responsible for delivering robust, production-grade computer vision solutions and leading junior engineers across projects and deployments. The ideal candidate thrives in a fast-paced environment, combines strong technical execution with cross-functional collaboration, and has a passion for solving real-world industrial problems using vision AI. Key Responsibilities 1. Project Management & Technical Leadership Lead and monitor end-to-end execution of CV/AI projects from requirement gathering to final deployment. Collaborate with cross-functional teams (Product, Hardware, QA, Customer Success) to align project milestones. Regularly update stakeholders and prepare detailed technical and status reports. 2. Client Engagement & Time Management Engage with customers to understand and translate use-case requirements into engineering specifications. Manage expectations on delivery timelines and provide technical demonstrations or updates. Support sales/pre-sales efforts with feasibility analysis, proof-of-concept (PoC) development, and architecture design. 3. CV Pipeline Development & Code Quality Design scalable and reusable CV pipelines using best practices in modular software architecture. Lead code reviews and mentor junior team members to ensure code consistency and maintainability. Integrate various components including ML models, camera streams, and decision layers. 4. Model Development & Optimization Train, evaluate, and optimize object detection, classification, and segmentation models. Utilize frameworks such as TensorFlow, PyTorch, and OpenCV, with specific emphasis on YOLO, DeepStream, and Jetson-compatible models. Implement pre- and post-processing pipelines to handle challenging industrial imaging conditions. 5. Testing, QA & Deployment Create test cases and validation protocols to verify system performance against customer specs. Supervise on-site and remote deployments; ensure robust integration of edge devices like Jetson Xavier/Nano and industrial cameras. Provide deployment support including remote debugging, calibration, and performance tuning. 6. Continuous Improvement & Innovation Experiment with state-of-the-art models and libraries to enhance detection accuracy and reduce latency. Identify and act on opportunities to enhance system resilience, processing speed, and resource utilization. Contribute to IP generation and internal technical documentation. Key Performance Indicators (KPIs) Model Accuracy: Precision and recall metrics in real production environments System Deployments: Number and success rate of on-time installations Resolution Time: Average TAT for solving deployment or inference issues On-Time Delivery: Project milestone adherence across sprints Quality of Deliverables: Measured via code audits, testing coverage, and system stability Customer Feedback: Direct user feedback and CSAT/NPS post-deployment Required Qualifications & Experience Education: Bachelor’s degree in Electronics, Computer Science, or related fields. Advanced degrees or certifications in AI/ML are a plus. Experience: 3+ years of hands-on experience in developing computer vision solutions, ideally in manufacturing, robotics, or industrial automation. Domain Experience: Experience with industrial cameras, inspection systems, and edge computing setups is highly preferred. Technical Skill Requirements Programming Languages: Python (primary), C++ (desirable) Frameworks & Libraries: OpenCV, TensorFlow, PyTorch, YOLO, DeepStream Edge Computing: Jetson Nano/Xavier, deployment on embedded devices Operating Systems: Linux (Ubuntu preferred), bash scripting System Integration: ROS, MQTT, GStreamer, Modbus/TCP/IP protocols Version Control & DevOps: Git/GitHub, Docker, CI/CD familiarity Additional Tools: VS Code, Jupyter, NVIDIA Nsight, Camera SDKs (FLIR, Basler, IDS, etc.) Soft Skills Strong analytical and debugging skills with a detail-oriented mindset. Clear and concise communication across technical and non-technical teams. Ownership mindset with the ability to lead and mentor junior engineers. Comfortable in agile, deadline-driven environments and willing to take initiative. Why Join Us? Build real-world AI systems that impact production lines globally. Work in a cross-disciplinary team of engineers, designers, and domain experts. Fast-track growth in a company at the forefront of AI transformation in manufacturing. Access to cutting-edge tools, datasets, and continuous learning opportunities. Show more Show less

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions. Key Responsibilities Assist in the design, development of software applications using C++/AI Support the integration of AI models into computer vision systems Work with senior engineers on 2D/3D image processing, object detection, and pattern recognition tasks Debug and optimize code for performance and scalability Write clear, maintainable code and contribute to documentation Participate in code reviews and team meetings Qualifications Minimum 3-5 years of experience with Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience) or Hydrographic Area. Experience developing software at a professional level. Experience working collaboratively within a team environment of engineers to meet aggressive goals and high-quality standards. Proficiency in C++ Basic understanding of AI/ML concepts, especially in Computer Vision (e.g., OpenCV, TensorFlow, PyTorch, ONNX, PCL, Cuda) Familiarity with image processing libraries and techniques Good problem-solving and communication skills Passion for learning and innovation Preferred Skills Good Experience in C++ for image processing Experience with OpenCV or similar libraries Exposure to deep learning frameworks (e.g., TensorFlow, PyTorch), CUDA, ONNX, PCL Knowledge of Git or other version control tools Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world. Show more Show less

EGNYTE YOUR CAREER. SPARK YOUR PASSION. "Please refrain from applying to this position if you don't meet the qualifications, such as being newly graduated/interns or having limited experience" Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 17,000 customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters who doers, thinkers, and collaborators are who embrace and live by our values: Invested Relationships Fiscal Prudence Candid Conversations ABOUT EGNYTE Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com . ABOUT THE ROLE Egnyte is seeking a Principal Machine Learning Engineer to drive innovation and leadership across machine learning initiatives, with a special emphasis on NLP solutions. As a Principal Engineer, you will play a pivotal role in shaping the future of AI/ML at Egnyte by defining technical strategy, overseeing complex machine learning architectures, and ensuring seamless integration of ML solutions into our platform at scale. You will mentor and guide engineering teams while providing expertise in state-of-the-art ML practices, ensuring a robust production pipeline and the professional management of ML models. WHAT YOU’LL DO: Leading the technical strategy and execution for machine learning projects across the organization. Driving innovation in NLP and other ML solutions, ensuring alignment with Egnyte’s business goals. Architecting and overseeing scalable, production-ready machine learning systems. Providing technical leadership and mentorship to the ML engineering team, fostering growth and collaboration. Conducting in-depth research and staying abreast of advancements in machine learning and deep learning technologies. Collaborating with cross-functional teams, including Product, to evaluate business requirements and determine optimal ML solutions. Designing, deploying, and managing the lifecycle of machine learning models, including retraining and monitoring for continuous improvement. Reviewing code, offering best practices, and ensuring the delivery of high-quality solutions. Representing Egnyte’s technical excellence through publications, presentations, and participation in industry events. YOUR QUALIFICATIONS: 6+ yrs of proven expertise in leading machine learning initiatives, particularly in NLP. Extensive experience in creating and deploying machine learning & deep learning models at scale in a SaaS or Cloud environment. Demonstrated ability to define and execute technical strategy for ML projects. Advanced knowledge of ML frameworks, such as PyTorch and TensorFlow/Keras. Proficiency in tools like HuggingFace libraries (transformers and tokenizers) or Fairseq. Expertise in Python, Docker, Kubernetes, and Helm. Excellent communication skills, particularly in mentoring, knowledge sharing, and cross-team collaboration. Strong experience in managing large-scale datasets and distributed computing environments, with a preference for Google Cloud Platform expertise What we offer: Opportunity to work on cutting-edge machine learning projects at scale. Leadership role in a growing, innovative AI/ML team. Support for continued learning, certifications, and professional growth Bonus points: Proficiency in additional programming languages such as Java, Scala, or Go. Familiarity with tools and frameworks like Kubeflow and OpenCV. Deep understanding of advanced analytical modeling and statistical forecasting techniques. Demonstrated expertise with transformer-based architectures (e.g., BERT, GPT). Experience publishing and presenting complex technical work to a broader audience. COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION: At Egnyte, we celebrate our differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher-performing company and a great place to be. Show more Show less

We are hiring an experienced AI Developer who specializes in computer vision, object detection, and OCR technologies. The ideal candidate will work closely with the development team to design, train, and deploy machine learning models that extract meaningful insights from visual data. You will be responsible for model training, data annotation, API integration, and creating end-to-end AI pipelines. Job Responsibilities Develop and fine-tune object detection models using YOLOv5/YOLOv8, Detectron2, or SSD Preprocess image data using OpenCV (contours, morphology, edge detection, etc.) Train custom models using labeled datasets, including bounding box annotations Use annotation tools such as CVAT, LabelImg, or Roboflow to label and manage datasets Prepare data in YOLO format, apply augmentation techniques to increase accuracy Integrate OCR engines such as Tesseract or EasyOCR to extract text from images Associate spatial text with detected objects using bounding box linking and proximity-based matching Build and deploy REST APIs using Flask or FastAPI for serving trained models Collaborate with frontend/backend developers to integrate AI models into applications Job Qualifications: Must-Have Skills Experience with YOLO (v5/v8), Detectron2, or SSD object detection models Proficient in image preprocessing techniques using OpenCV Hands-on experience with annotation tools like CVAT, LabelImg, or Roboflow Ability to prepare and format datasets for training (e.g., YOLO format, augmentation) Strong knowledge of OCR tools such as Tesseract OCR or EasyOCR Experience in linking spatial text with detected objects and proximity-based matching Proficiency in building RESTful APIs using Flask or FastAPI Solid understanding of Python, machine learning, and deep learning frameworks (e.g., PyTorch, TensorFlow) Nice to Have Knowledge of Docker, cloud deployment (AWS/GCP), and CI/CD practices Experience with model monitoring and performance optimization Familiarity with database technologies (e.g., MongoDB, PostgreSQL) Job Type: Full-time Benefits: Health insurance Provident Fund Schedule: Day shift Education: Bachelor's (Preferred) Experience: Python (PyTorch, TensorFlow): 1 year (Required) object detection Models: 1 year (Required) OpenCV: 1 year (Required) Location: Kulathur, Thiruvananthapuram, Kerala (Preferred) Work Location: In person Application Deadline: 30/06/2025

Job Description & skills:  Overall IT experience: 6+ years We are looking for highly skilled Senior Python Developers with strong backend development skills using Django/Django REST Framework. Candidates should be experienced in developing APIs, integrating AI/ML modules, and media processing (OpenCV, FFmpeg). Key Skills: Python, Django, Flask AI/ML frameworks – TensorFlow, PyTorch, scikit-learn Image & video processing PostgreSQL, MySQL, MongoDB RESTful APIs, GraphQL Use AI Coding Tool like Cursor, Copilot, etc for development Preferred Domain Experience: AI/ML, E-learning Show more Show less

About the job: Key responsibilities: 1. Develop Windows desktop apps using C#, WPF, and XAML 2. Implement computer vision features using OpenCV (Emgu CV) 3. Work on real-time image/video processing and object detection 4. Integrate deep learning models (ONNX/TensorFlow) into applications 5. Optimise performance with multithreading and GPU acceleration 6. Collaborate on Python-based prototyping and scripting 7. Debug, test, and enhance application performance Who can apply: Only those candidates can apply who: are from Ahmedabad only are Computer Science Engineering students Salary: ₹ 2,16,000 - 2,76,000 /year Experience: 0 year(s) Deadline: 2025-06-28 23:59:59 Skills required: OpenCV, Python, Computer Vision and TensorFlow Other Requirements: 1. Bachelor's or Master's degree in Computer Science, Electronics, or a related discipline 2. 0–1 year of hands-on experience in C# programming and image processing technologies About Company: Engineering Services International (ESI) is an ISO-accredited engineering services company headquartered in Cochin, Kerala, with offices across India in Gujarat, Karnataka, Odisha, and Jamshedpur. Established in 1999, ESI serves major clients in the steel, cement, and aluminium sectors and aims to expand globally. We built and operate The Roboseum at Gujarat Science City, Ahmedabad, the world's largest robot-themed science centre. This unique project showcases innovations in humanoid, autonomous, and semi-autonomous robotics, including coordinated mobile robots, industrial automation, autonomous vehicles, and a fully automated robot cafe.

We are looking for a part-time Computer Vision Engineer to support the deployment of advanced AI solutions on edge devices . The role involves real-time anomaly detection (weapons, fire, theft and aggressive behaviors) using feeds from IP cameras, tailored for secure and responsive environments such as retail , banking or public safety. 🔧 Key Responsibilities Implement AI-enabled real-time detection of anomalies, weapons, fire, and behavioral patterns Deploy computer vision models on edge devices based on the number of IP cameras at the site Assist in planning and selecting the appropriate edge hardware for each deployment Participate in client review sessions to discuss deployment strategies and performance Perform hands-on deployment and testing of solutions on-site or remotely as required ✅ Qualifications Strong experience with Python, computer vision models and edge device integration (e.g., NVIDIA Jetson, Coral, etc.) Hands-on experience with OpenCV , YOLO , TensorFlow Lite , or similar frameworks Familiarity with real-time video processing and anomaly detection techniques Ability to translate model output into actionable event detection Strong communication skills and ability to interface with clients Previous experience with IP camera integrations is a plus 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

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.