1,076 Self Driving Cars jobs in Kenya
Lead Autonomous Vehicle Systems Engineer
Posted 21 days ago
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Job Description
Our client is seeking a highly experienced and forward-thinking Lead Autonomous Vehicle Systems Engineer to drive the development and integration of cutting-edge autonomous driving technologies. This is a fully remote position, offering the flexibility to contribute to groundbreaking innovation from anywhere. You will be responsible for the end-to-end design, implementation, and testing of complex autonomous systems, including perception, localization, planning, and control. Your role will involve overseeing a team of talented engineers, fostering collaboration, and ensuring the successful delivery of robust and reliable autonomous vehicle software.
The ideal candidate will possess a deep understanding of robotics, artificial intelligence, and software engineering principles, with a proven track record in the autonomous vehicle domain. You should be adept at system architecture design, algorithm development, and performance optimization. Experience with simulation tools, hardware-in-the-loop testing, and real-world vehicle validation is essential. You will be expected to define system requirements, identify technical challenges, and propose innovative solutions. Strong leadership qualities, excellent communication skills, and the ability to mentor junior engineers are critical for this role. You will work in a fast-paced, dynamic environment, contributing to the future of transportation. This is an exciting opportunity to shape the safety, efficiency, and performance of autonomous driving systems.
Responsibilities:
The ideal candidate will possess a deep understanding of robotics, artificial intelligence, and software engineering principles, with a proven track record in the autonomous vehicle domain. You should be adept at system architecture design, algorithm development, and performance optimization. Experience with simulation tools, hardware-in-the-loop testing, and real-world vehicle validation is essential. You will be expected to define system requirements, identify technical challenges, and propose innovative solutions. Strong leadership qualities, excellent communication skills, and the ability to mentor junior engineers are critical for this role. You will work in a fast-paced, dynamic environment, contributing to the future of transportation. This is an exciting opportunity to shape the safety, efficiency, and performance of autonomous driving systems.
Responsibilities:
- Lead the design, development, and integration of autonomous vehicle software systems.
- Define system architectures and roadmaps for autonomous driving functionalities.
- Develop and optimize algorithms for perception, sensor fusion, localization, path planning, and control.
- Oversee the testing and validation of autonomous systems, including simulation and real-world scenarios.
- Collaborate with cross-functional teams (hardware, software, testing) to ensure seamless integration.
- Mentor and guide a team of software engineers, fostering technical excellence and innovation.
- Identify and address technical risks and challenges, proposing effective solutions.
- Contribute to the continuous improvement of development processes and tools.
- Stay current with the latest advancements in AI, machine learning, and autonomous driving technologies.
- Document system designs, algorithms, and test results thoroughly.
- Master's or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field.
- Minimum of 10 years of experience in software engineering, with at least 5 years focused on autonomous vehicles.
- Proven experience in developing and deploying complex robotic or AI systems.
- Expertise in C++, Python, and relevant libraries (e.g., ROS, TensorFlow, PyTorch).
- Strong understanding of algorithms, data structures, and software design principles.
- Experience with sensor technologies (LiDAR, radar, cameras) and data processing.
- Excellent problem-solving, analytical, and critical thinking skills.
- Demonstrated leadership and team management capabilities.
- Strong communication and collaboration skills, effective in a remote setting.
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Senior Autonomous Vehicle Systems Engineer
Posted 17 days ago
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Job Description
Our client is looking for an exceptionally talented Senior Autonomous Vehicle Systems Engineer to join our fully remote engineering team. This role will be at the forefront of developing and refining the complex systems that power next-generation self-driving vehicles. You will be responsible for the design, implementation, and validation of critical software and hardware components, ensuring the safety, reliability, and efficiency of our autonomous driving technology. The ideal candidate has a profound understanding of robotics, control systems, sensor fusion, path planning, and decision-making algorithms within the context of autonomous vehicles. You will work collaboratively in a distributed environment, contributing to architectural decisions, code reviews, and the overall technical strategy. This position demands a high degree of autonomy, strong problem-solving skills, and the ability to thrive in a dynamic, fast-paced technological landscape.
Key Responsibilities:
Qualifications:
The role is associated with the Machakos region, Machakos, KE.
Key Responsibilities:
- Design, develop, and test advanced algorithms for perception, localization, planning, and control in autonomous vehicle systems.
- Implement and optimize software modules using C++, Python, and other relevant programming languages.
- Engage in sensor fusion techniques, integrating data from LiDAR, radar, cameras, and IMUs to create a comprehensive understanding of the vehicle's environment.
- Develop and refine control strategies for safe and efficient vehicle operation, including trajectory tracking and emergency maneuvers.
- Collaborate with cross-functional teams, including hardware engineers, safety experts, and simulation specialists, to ensure seamless system integration.
- Conduct rigorous testing and validation, both in simulation and real-world scenarios, to identify and resolve issues.
- Contribute to the definition of system architecture and the selection of appropriate technologies and tools.
- Maintain comprehensive documentation for designs, algorithms, and code.
- Stay current with the latest research and industry trends in autonomous driving technology.
- Participate in code reviews and provide constructive feedback to peers.
Qualifications:
- Master's or Ph.D. degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a closely related field.
- A minimum of 6 years of professional experience in autonomous vehicle development or related robotics fields.
- Strong proficiency in C++ and Python programming, with experience in real-time systems.
- Deep understanding of common robotics middleware like ROS (Robot Operating System).
- Extensive experience with sensor fusion, Kalman filters, and probabilistic robotics techniques.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) for perception tasks.
- Proven ability to design, implement, and debug complex control systems.
- Experience with simulation environments (e.g., CARLA, Gazebo) is highly advantageous.
- Excellent analytical and problem-solving skills, with a meticulous attention to detail.
- Strong communication skills and the ability to articulate technical concepts effectively in a remote setting.
- Experience with safety standards and processes in the automotive industry is a plus.
The role is associated with the Machakos region, Machakos, KE.
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Autonomous Vehicle Fleet Operations Manager
Posted 12 days ago
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Job Description
Our client is revolutionizing the transportation industry and is seeking an experienced and forward-thinking Autonomous Vehicle Fleet Operations Manager to join their pioneering remote team. This critical role will oversee the day-to-day operations of a growing fleet of autonomous vehicles, ensuring maximum efficiency, safety, and uptime. You will be responsible for developing and implementing operational strategies, monitoring fleet performance using advanced analytics, and troubleshooting any issues that arise in real-time. This includes managing remote dispatch, coordinating maintenance schedules for the vehicles (even though the role is remote, you will be managing the overall operations that require on-the-ground coordination), and ensuring compliance with all relevant regulations. The ideal candidate will have a strong background in logistics, fleet management, or operations management, with a deep understanding of autonomous vehicle technology and its operational challenges. You should be adept at using sophisticated fleet management software and data visualization tools to gain insights and make data-driven decisions. This position requires exceptional leadership and communication skills, as you will be coordinating with various remote teams, including engineering, software development, and on-site support personnel. The ability to anticipate problems, develop contingency plans, and react swiftly to unexpected events is paramount. This is a fully remote role, demanding a high degree of self-motivation, discipline, and the capacity to manage complex operations from a distance. You will be a key player in shaping the future of autonomous mobility, contributing to a safer and more efficient transportation ecosystem. The role requires a proactive approach to problem-solving and a relentless focus on operational excellence, supporting the fleet operating in and around **Kitale, Trans-Nzoia, KE**. This is an unprecedented opportunity to be at the forefront of technological innovation in the transport sector.
Responsibilities:
Responsibilities:
- Develop and execute operational plans for a fleet of autonomous vehicles.
- Monitor real-time fleet performance, identifying and resolving operational issues remotely.
- Manage remote dispatching and coordinate maintenance and repair schedules.
- Analyze operational data to identify trends, optimize efficiency, and reduce costs.
- Ensure compliance with all local, regional, and national regulations pertaining to autonomous vehicle operations.
- Collaborate with engineering and software teams to provide feedback for system improvements.
- Develop and implement safety protocols and emergency response procedures.
- Manage relationships with third-party service providers for vehicle maintenance and support.
- Train and mentor remote operational staff.
- Prepare regular performance reports for senior management.
- Bachelor's degree in Logistics, Operations Management, Engineering, or a related field.
- Minimum of 5 years of experience in fleet management, logistics, or operations management, preferably in a complex or technology-driven environment.
- Demonstrated understanding of autonomous vehicle technology and its operational implications.
- Proficiency in fleet management software, data analytics tools, and visualization platforms.
- Excellent leadership, communication, and problem-solving skills.
- Ability to manage complex operations remotely and make critical decisions under pressure.
- Strong understanding of safety regulations and compliance requirements.
- Experience working in a fast-paced, innovative environment.
- Self-motivated with excellent time management and organizational skills.
- Willingness to adapt to evolving technologies and operational demands.
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2
Autonomous Vehicle Software Engineer
Posted 20 days ago
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Job Description
Our client is at the forefront of developing cutting-edge autonomous driving technology and is looking for a brilliant Autonomous Vehicle Software Engineer to join their fully remote team. This role is pivotal in designing, developing, and implementing the complex software systems that power our self-driving vehicles. You will be involved in every stage of the software development lifecycle, from conceptualization and architecture design to coding, testing, and deployment. The ideal candidate possesses a strong foundation in software engineering principles, coupled with a passion for artificial intelligence, machine learning, and robotics. You will collaborate with a world-class team of engineers and researchers to solve challenging problems in perception, localization, path planning, and control. Expertise in C++, Python, and ROS (Robot Operating System) is highly desirable. Experience with simulation environments and real-world vehicle testing is a significant plus. You will contribute to building robust, reliable, and safe autonomous systems. This role requires a deep understanding of algorithms, data structures, and software optimization techniques. The ability to work autonomously, manage complex projects, and communicate technical concepts clearly to both technical and non-technical audiences is crucial. We are seeking innovative thinkers who are eager to push the boundaries of what's possible in the future of transportation. If you are passionate about shaping the future of mobility and thrive in a remote, collaborative environment, this opportunity is for you.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and maintain software for autonomous driving systems.
- Implement algorithms for perception, planning, and control.
- Develop and integrate software modules using C++, Python, and ROS.
- Conduct rigorous testing and validation of software components.
- Collaborate with cross-functional teams on system design and integration.
- Optimize software performance and efficiency.
- Contribute to the development of simulation tools and environments.
- Troubleshoot and debug complex software issues.
- Master's or Ph.D. in Computer Science, Robotics, or a related field.
- Proven experience in software development for autonomous systems.
- Strong proficiency in C++ and Python.
- Experience with ROS and other robotics frameworks.
- Knowledge of machine learning and AI techniques.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills for a remote setting.
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Lead Fleet Operations Manager, Autonomous Vehicles (Remote)
Posted 21 days ago
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Job Description
Our client is seeking a highly experienced and forward-thinking Lead Fleet Operations Manager to oversee the remote management of their cutting-edge autonomous vehicle fleet. This is a fully remote position, offering unparalleled flexibility while managing critical operations that are shaping the future of transportation. You will be instrumental in ensuring the safe, efficient, and reliable operation of a complex fleet, focusing on predictive maintenance, real-time performance monitoring, and strategic operational planning. This role demands a strong blend of operational expertise, technical understanding of autonomous systems, and exceptional remote leadership capabilities.
Responsibilities:
Qualifications:
Responsibilities:
- Develop and implement comprehensive operational strategies for the autonomous vehicle fleet, ensuring safety, efficiency, and cost-effectiveness.
- Establish and manage key performance indicators (KPIs) for fleet operations, including uptime, utilization, safety metrics, and operational costs.
- Oversee the remote monitoring of vehicle performance, diagnostics, and real-time status using advanced telematics and data analytics platforms.
- Lead the development and execution of proactive and predictive maintenance programs to minimize downtime and maximize vehicle lifespan.
- Coordinate with remote maintenance teams, service partners, and logistics providers to ensure timely repairs and servicing.
- Manage the deployment and scheduling of autonomous vehicles based on demand, operational constraints, and strategic objectives.
- Develop and refine standard operating procedures (SOPs) for all aspects of fleet operations, including incident response and emergency protocols.
- Analyze operational data to identify trends, bottlenecks, and opportunities for improvement, implementing data-driven solutions.
- Ensure compliance with all relevant transportation regulations, safety standards, and company policies.
- Manage and mentor a team of remote operations specialists and dispatchers, fostering a high-performance culture.
- Collaborate with engineering and software development teams to provide feedback on vehicle performance, identify bugs, and contribute to product enhancements.
- Develop and manage operational budgets, ensuring financial targets are met.
- Oversee the onboarding and training of new fleet operations personnel in a remote setting.
- Manage relationships with third-party service providers and vendors.
- Stay informed about advancements in autonomous vehicle technology and fleet management best practices.
Qualifications:
- Bachelor's degree in Operations Management, Logistics, Engineering, Business Administration, or a related field.
- Minimum of 8 years of experience in fleet management, logistics, or operations, with a strong emphasis on complex or technology-driven fleets.
- At least 3 years of experience specifically managing or working with autonomous vehicle technology or advanced transportation systems.
- Proven ability to develop and implement effective operational strategies and KPIs.
- Strong understanding of vehicle diagnostics, maintenance, and repair processes.
- Proficiency in fleet management software, telematics systems, and data analytics tools.
- Exceptional leadership, problem-solving, and decision-making skills.
- Demonstrated ability to manage and motivate remote teams effectively.
- Excellent communication and interpersonal skills, with the ability to collaborate across departments.
- Experience in incident management and crisis response.
- Familiarity with regulatory compliance in the transportation industry.
- Ability to work flexible hours to support 24/7 operations.
- Experience with budget management and financial planning.
- A proactive and results-oriented approach to operational challenges.
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4
Senior Autonomous Vehicle Logistics Coordinator
Posted 17 days ago
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Job Description
Our client is looking for a highly motivated and experienced Senior Autonomous Vehicle Logistics Coordinator to manage and optimize the fleet operations of their cutting-edge autonomous transport services. This is a fully remote position, requiring exceptional organizational skills and a deep understanding of logistics, fleet management, and emerging autonomous vehicle technologies. You will be responsible for coordinating vehicle deployment, monitoring real-time operations, managing routes, ensuring timely deliveries, and collaborating with remote operations centers, engineering teams, and customer support. The role demands a proactive approach to problem-solving and the ability to adapt to dynamic operational environments. As a remote-first role, you will leverage advanced communication and monitoring tools to maintain seamless operations, contributing to the efficiency and success of our client's innovative logistics solutions. Candidates must be adept at using sophisticated software for tracking, dispatching, and performance analysis.
Responsibilities:
Qualifications:
This is an exciting opportunity to be at the forefront of autonomous logistics. The role is structured as a fully remote engagement, offering significant flexibility. While the operations may span various regions, your contribution from anywhere in Kenya is valued, with a focus on supporting operations in and around Meru, Meru, KE .
Responsibilities:
- Oversee the daily operations of a fleet of autonomous delivery vehicles, ensuring optimal performance and adherence to schedules.
- Develop and refine optimal routing strategies to maximize efficiency and minimize delivery times.
- Monitor vehicle status, location, and performance in real-time using specialized fleet management software.
- Coordinate with remote operations centers to manage vehicle dispatches, re-routes, and incident responses.
- Liaise with maintenance teams to schedule and track vehicle servicing and repairs, minimizing downtime.
- Analyze operational data to identify trends, bottlenecks, and areas for improvement.
- Implement and manage safety protocols and procedures for autonomous vehicle operations.
- Communicate effectively with external stakeholders, including clients and regulatory bodies, as needed.
- Prepare regular reports on fleet performance, key metrics, and operational challenges.
- Proactively identify and troubleshoot operational issues, coordinating immediate resolutions.
Qualifications:
- Bachelor's degree in Logistics, Supply Chain Management, Operations Research, or a related field.
- 5+ years of experience in logistics, transportation management, or fleet operations.
- Proven experience with autonomous vehicle technology or advanced transportation systems is highly desirable.
- Proficiency in fleet management software, route optimization tools, and real-time tracking systems.
- Strong analytical and problem-solving skills with a data-driven approach.
- Excellent organizational and time-management abilities.
- Exceptional communication and interpersonal skills, comfortable working in a remote, collaborative environment.
- Ability to work independently and manage multiple priorities effectively.
- Familiarity with relevant safety regulations and compliance requirements.
- Experience in a fast-paced, innovative industry.
This is an exciting opportunity to be at the forefront of autonomous logistics. The role is structured as a fully remote engagement, offering significant flexibility. While the operations may span various regions, your contribution from anywhere in Kenya is valued, with a focus on supporting operations in and around Meru, Meru, KE .
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5
Autonomous Vehicle Logistics Manager
Posted 21 days ago
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Job Description
Our client is looking for a strategic and hands-on Autonomous Vehicle Logistics Manager to oversee and optimize their cutting-edge autonomous logistics operations. This role is based in **Machakos, Machakos, KE**, but will involve a hybrid work arrangement, allowing for remote flexibility combined with essential on-site presence for operational oversight and team collaboration. The successful candidate will be responsible for the end-to-end management of autonomous vehicle fleets, ensuring efficient route planning, real-time monitoring, and seamless integration with our existing logistics infrastructure. You will analyze performance data, identify areas for improvement, and implement innovative solutions to enhance operational efficiency, safety, and cost-effectiveness.
Key duties include developing and maintaining operational protocols for autonomous vehicle deployment, managing relationships with technology partners and service providers, and ensuring compliance with all relevant regulations and safety standards. You will lead a team of logistics coordinators and technical support staff, providing guidance and fostering a culture of continuous improvement. A strong understanding of logistics software, telematics, and fleet management systems is crucial. Experience with AI-driven route optimization algorithms and predictive maintenance for vehicles will be a significant advantage. The ideal candidate will possess exceptional problem-solving skills, the ability to manage complex projects in a fast-paced environment, and strong communication and leadership capabilities. You should be adept at forecasting logistical needs, managing dynamic schedules, and troubleshooting unexpected operational challenges. This role offers a unique opportunity to be at the forefront of a transformative industry, shaping the future of transportation and delivery. If you are a forward-thinking logistics professional with a passion for autonomous technology and a proven track record of success, we encourage you to apply.
Key duties include developing and maintaining operational protocols for autonomous vehicle deployment, managing relationships with technology partners and service providers, and ensuring compliance with all relevant regulations and safety standards. You will lead a team of logistics coordinators and technical support staff, providing guidance and fostering a culture of continuous improvement. A strong understanding of logistics software, telematics, and fleet management systems is crucial. Experience with AI-driven route optimization algorithms and predictive maintenance for vehicles will be a significant advantage. The ideal candidate will possess exceptional problem-solving skills, the ability to manage complex projects in a fast-paced environment, and strong communication and leadership capabilities. You should be adept at forecasting logistical needs, managing dynamic schedules, and troubleshooting unexpected operational challenges. This role offers a unique opportunity to be at the forefront of a transformative industry, shaping the future of transportation and delivery. If you are a forward-thinking logistics professional with a passion for autonomous technology and a proven track record of success, we encourage you to apply.
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Lead AI/ML Engineer - Computer Vision
Posted 14 days ago
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Job Description
Our client is seeking a highly skilled and innovative Lead AI/ML Engineer specializing in Computer Vision to join their cutting-edge research and development team. This is a fully remote position offering the opportunity to work on groundbreaking projects at the forefront of artificial intelligence. The ideal candidate will possess a strong foundation in machine learning, deep learning, and extensive experience in developing and deploying computer vision models.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of advanced computer vision algorithms and models for various applications.
- Conduct research into state-of-the-art computer vision techniques and propose novel solutions to complex problems.
- Develop and optimize deep learning models for tasks such as object detection, image segmentation, facial recognition, and image generation.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI/ML solutions into products and services.
- Manage and mentor a team of AI/ML engineers, providing technical guidance and fostering a collaborative environment.
- Oversee the data collection, annotation, and preparation process for training computer vision models.
- Implement robust testing and validation procedures to ensure the accuracy and reliability of AI models.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision research, and actively contribute to the technical roadmap.
- Deploy and scale AI/ML models in production environments, ensuring performance and efficiency.
- Write high-quality, well-documented code in languages such as Python.
- Evaluate and select appropriate frameworks and tools for AI/ML development (e.g., TensorFlow, PyTorch).
- Contribute to intellectual property and publish research findings where appropriate.
- Troubleshoot and resolve complex technical issues related to AI/ML model performance and deployment.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML engineering, with a strong specialization in Computer Vision.
- Proven track record of developing and deploying complex computer vision models in production environments.
- Deep understanding of deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python and relevant libraries (e.g., OpenCV, NumPy, SciPy).
- Experience with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
- Strong knowledge of algorithms, data structures, and software engineering best practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and team management capabilities.
- Exceptional communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Ability to work independently and collaboratively in a fully remote setting.
- Experience with model optimization and deployment strategies is highly desirable.
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Principal AI Research Scientist - Deep Learning for Computer Vision
Posted 7 days ago
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Job Description
Our client, a groundbreaking leader in AI and Emerging Technologies, is actively seeking a Principal AI Research Scientist to join their elite, fully remote team. This role is at the cutting edge of artificial intelligence, focusing on advanced deep learning techniques for computer vision applications. You will spearhead innovative research, develop novel algorithms, and publish impactful findings that push the boundaries of the field. The ideal candidate will have a Ph.D. in a relevant discipline, a strong publication record in top-tier AI conferences, and extensive hands-on experience with deep learning frameworks. This is an exceptional opportunity for a leading researcher to drive transformative AI advancements from anywhere.
Responsibilities:
Responsibilities:
- Conduct state-of-the-art research in deep learning for computer vision, including object detection, image segmentation, facial recognition, and generative models.
- Develop and implement novel AI algorithms and models, optimizing for performance and accuracy.
- Design and execute rigorous experiments to validate research hypotheses.
- Collaborate with cross-functional teams to integrate research prototypes into product development.
- Publish research findings in leading academic journals and present at international conferences.
- Mentor junior researchers and engineers, fostering a collaborative research environment.
- Stay abreast of the latest advancements and trends in AI, machine learning, and computer vision.
- Contribute to the intellectual property portfolio through patent applications.
- Lead research initiatives and define research roadmaps in specific areas of computer vision.
- Explore new application domains for computer vision technologies.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- Minimum of 7 years of post-doctoral research experience in AI, with a specialization in Deep Learning and Computer Vision.
- A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages like Python and experience with scientific computing libraries.
- Deep understanding of various neural network architectures (CNNs, RNNs, Transformers) and their applications.
- Experience with large-scale datasets and distributed training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to lead research projects and work effectively in a remote, collaborative setting.
- Strong communication and presentation skills.
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Principal AI/ML Engineer (Computer Vision)
Posted 21 days ago
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Job Description
Our client, a leading innovator in applied artificial intelligence and machine learning, is seeking a highly experienced and visionary Principal AI/ML Engineer with a specialization in Computer Vision to join their cutting-edge and fully remote research and development team. This senior role is critical for advancing our capabilities in areas such as image recognition, object detection, video analysis, and augmented reality. You will be responsible for designing, developing, and deploying state-of-the-art AI models and algorithms that solve complex real-world problems.
The ideal candidate possesses a deep theoretical understanding of machine learning, deep learning, and computer vision principles, coupled with hands-on experience in implementing and optimizing models for production environments. Your expertise will span across various AI frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python), and cloud platforms (e.g., AWS, Azure, GCP). You will lead research initiatives, mentor junior engineers, collaborate with product teams, and contribute significantly to the company's intellectual property. A strong publication record or contributions to open-source AI projects is highly desirable. This is an unparalleled opportunity to shape the future of AI in a collaborative, remote setting.
Key Responsibilities:
The ideal candidate possesses a deep theoretical understanding of machine learning, deep learning, and computer vision principles, coupled with hands-on experience in implementing and optimizing models for production environments. Your expertise will span across various AI frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python), and cloud platforms (e.g., AWS, Azure, GCP). You will lead research initiatives, mentor junior engineers, collaborate with product teams, and contribute significantly to the company's intellectual property. A strong publication record or contributions to open-source AI projects is highly desirable. This is an unparalleled opportunity to shape the future of AI in a collaborative, remote setting.
Key Responsibilities:
- Lead the design, development, and implementation of advanced computer vision models and algorithms.
- Conduct cutting-edge research in areas such as object detection, segmentation, image classification, and generative models.
- Develop and deploy ML pipelines for training, evaluation, and inference in production environments.
- Optimize model performance for scalability, efficiency, and real-time applications.
- Collaborate with cross-functional teams to define project requirements and technical specifications.
- Mentor junior AI/ML engineers and contribute to the team's technical growth.
- Stay abreast of the latest advancements in AI, ML, and computer vision research and industry trends.
- Contribute to the company's intellectual property through patents and publications.
- Design and conduct experiments to validate new approaches and algorithms.
- Troubleshoot and resolve complex technical challenges in AI/ML systems.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Computer Vision.
- Minimum of 8 years of professional experience in AI/ML engineering, with a significant focus on computer vision.
- Proven track record of developing and deploying sophisticated CV models in production.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or similar.
- Strong proficiency in Python and relevant libraries (e.g., OpenCV, Scikit-learn, NumPy).
- Experience with cloud ML platforms and services (AWS SageMaker, Azure ML, GCP AI Platform).
- Excellent analytical, problem-solving, and algorithmic design skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts clearly.
- Ability to work independently and lead projects in a fully remote environment.
- Demonstrated experience with large-scale datasets and distributed training.
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