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• Lead the design, development, and implementation of scalable machine learning systems and pipelines.
• Architect and optimize deep learning models using frameworks such as TensorFlow, PyTorch, or JAX.
• Develop and deploy production-ready ML solutions, ensuring reliability, performance, and scalability.
• Collaborate with research scientists to translate novel algorithms and experimental findings into robust engineering implementations.
• Mentor and guide a team of ML engineers, fostering best practices in coding, testing, and deployment.
• Define and implement MLOps strategies for model versioning, monitoring, and continuous integration/deployment.
• Conduct thorough code reviews and provide constructive feedback to team members.
• Optimize model performance for efficiency and effectiveness across various hardware platforms.
• Stay abreast of the latest advancements in machine learning, deep learning, and AI research.
• Contribute to the strategic technical direction of the ML engineering team and the broader organization.
• Troubleshoot and resolve complex technical issues in production ML systems.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 7 years of experience in machine learning engineering, with a strong focus on deep learning.
• Proven experience in leading ML projects from research to production.
• Deep expertise in Python and proficiency with core ML libraries (e.g., scikit-learn, pandas, NumPy).
• Extensive hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Strong understanding of MLOps principles and tools (e.g., Docker, Kubernetes, CI/CD, MLflow).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Excellent problem-solving, analytical, and algorithmic thinking skills.
• Exceptional leadership, communication, and collaboration abilities, critical for a remote-first environment.
• Experience with large-scale data processing and distributed systems.

OpenCV University is looking for Developers obsessed with Research, Experimentation, Teaching, and Knowledge Sharing in the field of Computer Vision, Image Processing, and Deep Learning.

Company Description

OpenCV University is a premier AI education institution offering in-depth and meticulously designed courses on Computer Vision and Deep Learning. We are creating the world's best resources for learning Artificial Intelligence and Computer Vision. Our courses and blogs are used by thousands of users daily. Check out:

Courses:

Blog:

YouTube:

Our Journey

We have come a long way from creating a Computer Vision Course in 2017, when Online Learning was just starting, to a full-fledged Ed-tech offering AI Courses.

We take pride in saying we are a Bootstrapped, profitable platform powered by Big Vision Consulting. Check out our journey on the About Us page:

Mission:

Our Mission is to make OpenCV the No.1 destination for anything related to Computer Vision, for students to learn, for working professionals to upskill, and for Companies to hire talent.

Vision:

OpenCV University's vision is to empower learners across the globe to be a part of a collective AI workforce through our comprehensive courses and an expert team of world-class instructors.

Responsibilities:

This is your opportunity to truly shape one of the most influential disciplines of our time - Artificial Intelligence. We are hiring Computer Vision Engineer professionals with a passion for research and teaching in the field of Computer Vision, Image Processing, and Deep Learning.

Your role will be multifold meaning you will be exposed to a wide variety of work ranging from research to development to deployment to teaching and mentorship. Your responsibilities include:

• Research the latest trends and developments in computer vision technology and techniques and write SEO-compliant blog articles on the latest topics while maintaining the highest quality standards. (For example, currently, we are working on Generative AI and Transformers).
• Work on interesting CV and DL experiments, projects, and applications that become part of the course or deploy applications for demos of blog articles. This also includes creating supporting multimedia content, such as images, videos, and GIFs.
• Designing assessment materials for the courses, such as assignments, projects, and quizzes.
• Mentoring course students in the form of doubt-clearing sessions and career guidance via meetups and forums.
• Working on course updates in the form of checking version changes, corner cases, etc.

Skills required:

• Strong Python programming knowledge (C++ knowledge is a bonus).
• Experience working with computer vision libraries like OpenCV. (TensorFlow, and PyTorch knowledge is a bonus).
• Strong knowledge of deep learning-based computer vision algorithms, classification, segmentation, object detection, key-points detection, etc.
• Knowledge about LLMs, RAGs, VLMs is a plus.
• Knowledge of Other Tools like YOLO, Mediapipe, Android, iOS, FastAPI, Docker, and Kubernetes is a bonus.
• Excellent English speaking and writing skills.
• Candidates with blog posts on computer vision will be preferred.
• Candidates with OpenCV AI course certification will be preferred.
• Strong communication and collaboration skills.

• Conduct research and development in advanced deep learning techniques.
• Design, implement, and deploy novel AI models and algorithms.
• Collaborate with cross-functional teams to integrate AI solutions into products.
• Stay abreast of the latest advancements in AI and machine learning research.
• Publish research findings in leading academic venues.
• Mentor junior team members and contribute to a culture of learning.
• Optimize model performance and scalability for real-world applications.

• Ph.D. or Master's degree in Computer Science, AI, ML, or a related field.
• 5+ years of experience in AI research and development, with a focus on deep learning.
• Expertise in Python and deep learning frameworks (TensorFlow, PyTorch).
• Strong publication record in top AI conferences/journals.
• Experience with large-scale data processing and distributed systems.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

• Conducting advanced research in deep learning architectures, training methodologies, and optimization techniques.
• Developing and implementing state-of-the-art AI models for complex real-world problems.
• Leading and mentoring a team of AI researchers and engineers.
• Collaborating with product and engineering teams to translate research breakthroughs into practical applications.
• Staying abreast of the latest advancements in AI and emerging technologies.
• Contributing to the intellectual property portfolio through patents and publications.
• Presenting research findings to internal stakeholders and external audiences.
• Ensuring the ethical and responsible development and deployment of AI systems.
• Designing and executing rigorous experiments to validate research hypotheses.
• Fostering a culture of innovation and scientific excellence within the research group.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 10+ years of relevant research experience in deep learning.
• Proven track record of leading successful research projects and publishing in top venues (NeurIPS, ICML, ICLR, CVPR, ACL, etc.).
• Expertise in one or more areas such as deep reinforcement learning, generative models, transformer networks, or graph neural networks.
• Strong programming skills in Python and proficiency with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with large-scale data processing and distributed training.
• Excellent communication and leadership skills, with the ability to articulate complex technical concepts to diverse audiences.
• Demonstrated ability to mentor and guide junior researchers.
• Experience in building and deploying AI models in production environments is a strong plus.

• Lead the design, development, and implementation of advanced machine learning models for computer vision tasks (e.g., object detection, image segmentation, facial recognition, video analysis).
• Develop and maintain robust, scalable ML pipelines for data preprocessing, model training, evaluation, and deployment.
• Collaborate closely with product managers, data scientists, and software engineers to define project requirements and deliver impactful AI solutions.
• Research and experiment with state-of-the-art algorithms and techniques in computer vision and deep learning.
• Optimize model performance for speed, accuracy, and resource efficiency across various deployment environments.
• Mentor and guide a team of machine learning engineers and data scientists, fostering a culture of technical excellence.
• Stay abreast of the latest advancements in AI research, particularly in computer vision, and assess their applicability to our products.
• Contribute to the architecture and design of our ML infrastructure and tooling.
• Ensure the ethical and responsible development and deployment of AI systems.
• Write high-quality, production-ready code and conduct thorough code reviews.
• Develop and maintain comprehensive documentation for models, systems, and processes.
• Participate in defining the technical roadmap for AI and computer vision initiatives.
• Communicate complex technical concepts effectively to both technical and non-technical audiences in a remote setting.
• Evaluate and integrate third-party libraries and frameworks to accelerate development.
• Drive innovation by identifying new opportunities for applying computer vision technology.

• Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
• 7+ years of experience in machine learning, with a strong focus on computer vision applications.
• Proven experience in leading ML projects and mentoring teams.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong programming skills in Python, with experience in libraries like OpenCV, NumPy, and SciPy.
• Deep understanding of various computer vision techniques and algorithms.
• Experience with MLOps practices and tools for model deployment and management (e.g., Docker, Kubernetes, MLflow).
• Familiarity with cloud platforms (AWS, GCP, Azure) and their ML services.
• Excellent problem-solving, analytical, and critical thinking abilities.
• Strong communication and collaboration skills, adept at working in a fully remote environment.
• Experience with large-scale dataset management and annotation is a plus.
• A track record of publications in top-tier AI conferences or journals is highly desirable.

• Lead the design, development, training, and deployment of sophisticated computer vision models.
• Develop algorithms for real-time image and video analysis, object detection, tracking, and recognition.
• Work with large-scale image and video datasets, including data augmentation, annotation, and preprocessing.
• Collaborate with software engineers, data scientists, and product teams to integrate computer vision capabilities into products and services.
• Conduct research and stay abreast of the latest advancements in computer vision, deep learning, and AI.
• Optimize model performance for accuracy, speed, and efficiency across various hardware platforms.
• Develop robust pipelines for data management, model training, and inference.
• Mentor junior engineers and guide the technical direction of computer vision projects.
• Present complex technical concepts and project outcomes to diverse audiences.
• Ensure the ethical and responsible application of computer vision technologies.
• Perform rigorous testing and validation of models before deployment.
• Contribute to the intellectual property and innovation roadmap of the company.

• Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on Computer Vision or Machine Learning.
• Minimum of 6 years of hands-on experience in Machine Learning and Computer Vision.
• Proven track record of successfully deploying computer vision models in production environments.
• Expert proficiency in Python and ML/DL libraries such as TensorFlow, PyTorch, OpenCV, Keras.
• Deep understanding of deep learning architectures (CNNs, RNNs, Transformers) and their application in vision tasks.
• Experience with cloud ML platforms (AWS, GCP, Azure) and MLOps practices.
• Strong analytical, problem-solving, and algorithmic skills.
• Excellent communication, leadership, and team collaboration capabilities.
• Ability to work effectively in a hybrid work environment.

What would you be doing/ Expected from this role?

• Collaborate with cross-functional teams including data scientists, engineers, and product managers to deliver AI-driven solutions.

• Drive the architecture of machine learning pipelines from data collection and pre-processing to model training, evaluation, and deployment.

• Implement scalable machine learning solutions using cloud infrastructure (AWS, GCP, Azure) and big data technologies (Spark, Hadoop).

• Develop and maintain model monitoring, alerting systems, and frameworks to ensure optimal performance in production.

• Stay up to date with the latest trends in AI and machine learning, identifying opportunities for innovation and improvement.

• Work on improving model interpretability, fairness, and bias mitigation in

alignment with ethical AI practices.

• Collaborate on the development of internal tools and libraries that facilitate the use of machine learning models across the organization.

• Conduct code reviews, optimize algorithms, and ensure the scalability and reliability of machine learning systems.

Preferred Skills:

• Experience in LLM technologies, computer vision and ML

algorithms. • Knowledge of data governance and ethical AI principles. • Familiarity with real-time data streaming technologies (Kafka, Flink, etc.).

Who are we looking for?

• Bachelor’s degree in computer science or equivalent practical experience. • Must be able to work independently and enjoy working at a fast-paced start-up environment who is adept at experimenting with new technologies.

• Must have excellent communication (verbal & written), interpersonal, leadership, and problem-solving

skills.