1,123 Lead Machine Learning Engineer Computer Vision jobs in Kenya
Lead Machine Learning Engineer - Computer Vision
Posted 20 days ago
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Job Description
Our client is looking for a visionary Lead Machine Learning Engineer with a specialization in Computer Vision to spearhead their AI initiatives. This role is entirely remote, empowering you to work from your preferred location while contributing to groundbreaking projects. You will be instrumental in designing, developing, and deploying advanced computer vision models and systems that will drive innovation across our product lines. This is a unique chance to lead a talented team and influence the direction of AI development in a dynamic and forward-thinking company.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of state-of-the-art computer vision models and algorithms for tasks such as object detection, image segmentation, facial recognition, and image generation.
- Oversee the entire ML lifecycle, from data acquisition and preprocessing to model training, evaluation, and deployment.
- Architect scalable and robust ML systems suitable for production environments.
- Collaborate closely with product management, software engineering, and data science teams to define project requirements and deliver impactful solutions.
- Mentor and guide junior machine learning engineers and researchers, fostering technical excellence and professional growth.
- Stay current with the latest research and technological advancements in computer vision and machine learning, identifying opportunities for application.
- Optimize model performance for speed, accuracy, and resource efficiency on various hardware platforms.
- Develop and maintain comprehensive documentation for ML models, pipelines, and system architecture.
- Present research findings and project progress to stakeholders, including technical and non-technical audiences.
- Ensure ethical considerations and bias mitigation are integrated into the development process.
- Master's or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in machine learning, with a significant focus on computer vision.
- Demonstrated experience in leading ML projects and mentoring engineering teams.
- Expertise in deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and experience with relevant libraries (e.g., OpenCV, scikit-image, Pillow).
- In-depth understanding of various computer vision techniques and algorithms.
- Proven ability to design, train, and deploy complex deep learning models for vision tasks.
- Experience with cloud computing platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML).
- Excellent problem-solving, analytical, and debugging skills.
- Exceptional communication and collaboration skills, especially in a remote setting.
- Experience with MLOps principles and tools is a strong advantage.
- Familiarity with embedded systems and edge AI deployments is a plus.
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Lead Machine Learning Engineer (AI)
Posted 13 days ago
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Job Description
Our client is seeking a highly skilled and innovative Lead Machine Learning Engineer to join their cutting-edge AI team. This is a fully remote position, offering the flexibility to work from any location and collaborate with a global team. You will be instrumental in designing, developing, and deploying advanced machine learning models and solutions that drive significant business impact. Your responsibilities will include architecting ML systems, selecting appropriate algorithms, and managing the entire ML lifecycle from data preparation and model training to deployment and monitoring. The ideal candidate will possess a deep understanding of various ML techniques, including supervised, unsupervised, and deep learning. Experience with MLOps practices, cloud platforms (e.g., AWS, Azure, GCP), and big data technologies is essential. You will lead a team of talented engineers, providing technical mentorship, setting development standards, and fostering a culture of innovation and continuous learning. Strong programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) are required. Excellent problem-solving abilities, a passion for tackling complex challenges, and outstanding communication skills are crucial for collaborating with cross-functional teams, including data scientists, software engineers, and product managers. We are looking for a visionary leader who can translate business needs into robust and scalable AI solutions. If you are passionate about pushing the boundaries of artificial intelligence and leading impactful projects, this remote opportunity is for you. Contribute your expertise from wherever you are, potentially aligning with the tech hub dynamics of **Nakuru, Nakuru, KE**, or beyond. Join us in building the future of AI, remotely.
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Lead Machine Learning Engineer - Scalable AI Solutions
Posted 3 days ago
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Job Description
Our client is revolutionizing the AI landscape and seeks an exceptional Lead Machine Learning Engineer to drive the development of scalable and sophisticated AI solutions. This fully remote role requires a deep expertise in designing, building, and deploying machine learning models that solve complex business problems. You will lead a team of talented engineers, mentor junior members, and set the technical direction for ML projects. Responsibilities include architecting robust ML pipelines, optimizing model performance, implementing MLOps best practices, and ensuring the seamless integration of AI systems into production environments. The ideal candidate will have a strong background in computer science, machine learning, or a related quantitative field, with extensive hands-on experience in developing and deploying ML models in real-world applications. Proficiency in programming languages like Python, and ML frameworks such as TensorFlow or PyTorch, is essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly valued. You must possess outstanding problem-solving skills, a passion for innovation, and the ability to work collaboratively and autonomously in a remote setting. This role offers the chance to work on cutting-edge AI technologies, tackle challenging technical problems, and make a significant impact on the future of artificial intelligence. We are looking for a forward-thinking leader who can inspire a team and deliver high-quality, performant machine learning solutions from anywhere.
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2
Lead AI Engineer - Deep Learning
Posted 19 days ago
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Job Description
Our client is seeking a highly experienced and visionary Lead AI Engineer specializing in Deep Learning to spearhead advanced research and development projects. This is a fully remote role, allowing you to collaborate with a world-class team from anywhere. You will be instrumental in designing, developing, and deploying sophisticated deep learning models that solve complex real-world problems. The ideal candidate will have a strong theoretical foundation in machine learning and deep learning, coupled with extensive practical experience in building and training neural networks for various applications, such as computer vision, natural language processing, or predictive analytics. Key responsibilities include leading the AI/ML roadmap, mentoring junior engineers, overseeing model development lifecycles, and ensuring the scalability and performance of deployed solutions. You will work closely with product managers and other engineers to integrate AI capabilities into new and existing products. Experience with deep learning frameworks like TensorFlow, PyTorch, and Keras is essential, as is proficiency in Python and relevant libraries. Familiarity with MLOps practices, cloud platforms (AWS, Azure, GCP), and big data technologies is highly desirable. The role demands exceptional problem-solving skills, a passion for innovation, and the ability to translate cutting-edge research into practical, high-impact solutions. You will champion best practices in AI development and contribute to the intellectual property of the company. This is a leadership opportunity to make significant contributions to the field of artificial intelligence, supporting initiatives conceptually linked to **Kericho, Kericho, KE**.
Key Responsibilities:
Key Responsibilities:
- Lead the research, design, and implementation of deep learning models.
- Develop and optimize algorithms for large-scale datasets.
- Mentor and guide junior AI/ML engineers.
- Oversee the entire ML model lifecycle, from experimentation to production.
- Collaborate with cross-functional teams to define AI requirements and solutions.
- Evaluate and integrate new AI technologies and methodologies.
- Ensure the performance, scalability, and reliability of AI systems.
- Contribute to publications and patents in the field of AI.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 7 years of hands-on experience in deep learning and AI development.
- Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Proficiency in Python and scientific computing libraries (NumPy, Pandas).
- Strong understanding of machine learning principles, algorithms, and statistical modeling.
- Experience with MLOps, cloud computing, and big data technologies.
- Excellent leadership, problem-solving, and communication skills.
- Demonstrated ability to lead technical projects in a remote setting.
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3
Lead AI Engineer - Machine Learning
Posted 9 days ago
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Job Description
Our client is looking for a highly skilled and innovative Lead AI Engineer specializing in Machine Learning to join their pioneering, fully remote technology division. This leadership role will be at the forefront of developing and deploying cutting-edge AI solutions, driving advancements in emerging technologies. As a remote-first position, you will guide a talented team of engineers and researchers, collaborating across disciplines to build intelligent systems that solve complex problems. Your expertise in ML algorithms, model development, and MLOps will be crucial for shaping the future of AI at our client.
Key Responsibilities:
Key Responsibilities:
- Lead the design, development, and implementation of advanced machine learning models and AI systems.
- Architect and build scalable ML pipelines for data preprocessing, training, evaluation, and deployment.
- Oversee the end-to-end machine learning lifecycle, from experimentation to production.
- Mentor and guide a team of AI/ML engineers, fostering a culture of innovation and technical excellence.
- Collaborate with product managers and stakeholders to define AI project requirements and roadmaps.
- Research and evaluate new AI technologies, algorithms, and frameworks to enhance capabilities.
- Ensure the performance, scalability, and reliability of deployed AI models.
- Implement best practices for MLOps, including continuous integration, continuous deployment (CI/CD), and monitoring.
- Troubleshoot and resolve complex technical issues related to AI model performance and deployment.
- Contribute to the development of intellectual property and technical publications.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning research.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 8 years of experience in AI/ML development, with at least 3 years in a leadership or lead engineer role.
- Strong theoretical and practical understanding of various ML algorithms (e.g., deep learning, reinforcement learning, NLP).
- Proficiency in programming languages such as Python, and deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Experience with cloud platforms (AWS, Azure, GCP) and ML services.
- Proven experience in MLOps, CI/CD pipelines, and model deployment.
- Excellent problem-solving, analytical, and algorithmic thinking skills.
- Strong leadership, communication, and interpersonal skills, essential for managing a remote team.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Demonstrated ability to deliver complex AI projects from conception to production.
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Lead AI Engineer - Machine Learning Applications
Posted 2 days ago
Job Viewed
Job Description
Our client, a cutting-edge technology firm, is seeking a visionary Lead AI Engineer specializing in Machine Learning applications. This is a fully remote position, allowing you to drive innovation in AI from your home office. The role involves leading the design, development, and deployment of advanced machine learning models and AI-driven solutions that address complex business challenges. You will be instrumental in shaping the company's AI strategy, mentoring junior engineers, and collaborating with cross-functional teams to integrate AI capabilities into our products and services.
Key responsibilities include researching and implementing state-of-the-art machine learning algorithms, developing robust data pipelines, and optimizing model performance for scalability and efficiency. You will explore new AI technologies and methodologies, staying at the forefront of the field. Strong expertise in programming languages such as Python, along with ML frameworks like TensorFlow, PyTorch, and scikit-learn, is essential. This role demands exceptional analytical, problem-solving, and communication skills, with the ability to explain complex AI concepts to both technical and non-technical audiences. As a remote leader, you must be highly self-motivated, organized, and capable of fostering a collaborative and innovative team environment across dispersed locations. This role offers a unique opportunity to make a significant impact on the future of AI within a rapidly growing organization.
Qualifications include a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A minimum of 6 years of professional experience in AI/ML development is required, with a proven track record of delivering successful AI solutions. Experience in leading AI projects and mentoring engineering teams is highly desirable. Strong understanding of deep learning, natural language processing, computer vision, and statistical modeling is expected. Excellent communication and collaboration skills are paramount. If you are a passionate AI expert looking for a challenging and rewarding remote leadership role, we encourage you to apply.
Key responsibilities include researching and implementing state-of-the-art machine learning algorithms, developing robust data pipelines, and optimizing model performance for scalability and efficiency. You will explore new AI technologies and methodologies, staying at the forefront of the field. Strong expertise in programming languages such as Python, along with ML frameworks like TensorFlow, PyTorch, and scikit-learn, is essential. This role demands exceptional analytical, problem-solving, and communication skills, with the ability to explain complex AI concepts to both technical and non-technical audiences. As a remote leader, you must be highly self-motivated, organized, and capable of fostering a collaborative and innovative team environment across dispersed locations. This role offers a unique opportunity to make a significant impact on the future of AI within a rapidly growing organization.
Qualifications include a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A minimum of 6 years of professional experience in AI/ML development is required, with a proven track record of delivering successful AI solutions. Experience in leading AI projects and mentoring engineering teams is highly desirable. Strong understanding of deep learning, natural language processing, computer vision, and statistical modeling is expected. Excellent communication and collaboration skills are paramount. If you are a passionate AI expert looking for a challenging and rewarding remote leadership role, we encourage you to apply.
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5
Lead AI Engineer - Machine Learning Innovation
Posted 11 days ago
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Job Description
Our client, a leader in applied artificial intelligence, is looking for an exceptional Lead AI Engineer to spearhead innovative machine learning projects. This is a fully remote position, offering the chance to work on cutting-edge AI solutions from anywhere. You will be responsible for the end-to-end development of machine learning models, from data acquisition and preprocessing to model training, deployment, and monitoring. The ideal candidate will have a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field, coupled with significant experience in building and deploying sophisticated AI systems. Expertise in deep learning frameworks such as TensorFlow or PyTorch, proficiency in Python, and a strong understanding of natural language processing (NLP) or computer vision are essential. You will lead a team of talented engineers, mentor junior members, and collaborate with cross-functional teams to identify opportunities for AI integration and optimization. Key responsibilities include researching and implementing novel algorithms, designing scalable ML pipelines, and ensuring the robustness and ethical deployment of AI solutions. This role requires a proactive mindset, excellent problem-solving skills, and the ability to communicate complex technical concepts to both technical and non-technical audiences. The ability to drive projects from concept to production in a remote-first environment is critical. While the role is remote, the focus is on developing AI solutions that can impact various sectors, potentially including those in coastal regions like Mombasa . We are seeking a visionary leader who can inspire innovation and deliver tangible business value through advanced AI technologies.
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Lead AI Engineer, Machine Learning Solutions
Posted 20 days ago
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Job Description
Our client, a cutting-edge technology firm at the forefront of AI innovation, is looking for an exceptional Lead AI Engineer to spearhead the development of advanced machine learning solutions. This fully remote position offers the opportunity to work on transformative projects that leverage artificial intelligence to solve complex real-world problems. The ideal candidate is a seasoned AI practitioner with a deep understanding of ML algorithms, model deployment, and scalable AI architectures.
As the Lead AI Engineer, you will be responsible for designing, building, and deploying sophisticated machine learning models and systems. You will lead a team of talented AI engineers, guiding them through the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and production deployment. Key responsibilities include researching and implementing state-of-the-art ML algorithms and techniques; developing and maintaining robust ML pipelines and infrastructure; collaborating with data scientists, software engineers, and product managers to define AI strategies and roadmaps; mentoring and guiding junior engineers, fostering a culture of innovation and technical excellence; optimizing model performance and scalability for large-scale applications; staying abreast of the latest advancements in AI and ML research; ensuring the responsible and ethical development of AI solutions; and contributing to technical documentation and knowledge sharing. This role emphasizes a collaborative and highly autonomous remote working environment.
The successful candidate will hold a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A strong portfolio of practical AI/ML projects and published research is highly valued. Minimum of 6 years of professional experience in AI/ML engineering, with at least 2 years in a leadership or senior role. Expertise in programming languages such as Python and proficiency with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices (e.g., Docker, Kubernetes) is required. Strong understanding of natural language processing (NLP), computer vision, or deep learning techniques. Excellent problem-solving, analytical, and communication skills. Proven ability to lead and mentor technical teams in a remote setting. This is a fully remote role supporting initiatives originating from Embu, KE and other global locations.
As the Lead AI Engineer, you will be responsible for designing, building, and deploying sophisticated machine learning models and systems. You will lead a team of talented AI engineers, guiding them through the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and production deployment. Key responsibilities include researching and implementing state-of-the-art ML algorithms and techniques; developing and maintaining robust ML pipelines and infrastructure; collaborating with data scientists, software engineers, and product managers to define AI strategies and roadmaps; mentoring and guiding junior engineers, fostering a culture of innovation and technical excellence; optimizing model performance and scalability for large-scale applications; staying abreast of the latest advancements in AI and ML research; ensuring the responsible and ethical development of AI solutions; and contributing to technical documentation and knowledge sharing. This role emphasizes a collaborative and highly autonomous remote working environment.
The successful candidate will hold a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A strong portfolio of practical AI/ML projects and published research is highly valued. Minimum of 6 years of professional experience in AI/ML engineering, with at least 2 years in a leadership or senior role. Expertise in programming languages such as Python and proficiency with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices (e.g., Docker, Kubernetes) is required. Strong understanding of natural language processing (NLP), computer vision, or deep learning techniques. Excellent problem-solving, analytical, and communication skills. Proven ability to lead and mentor technical teams in a remote setting. This is a fully remote role supporting initiatives originating from Embu, KE and other global locations.
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Lead AI Engineer - Machine Learning Operations
Posted 20 days ago
Job Viewed
Job Description
Join our innovative team as a Lead AI Engineer specializing in Machine Learning Operations (MLOps). This is a fully remote position, allowing you to work from anywhere and contribute to pioneering AI solutions. You will be responsible for building, deploying, and maintaining robust machine learning pipelines and infrastructure. This includes developing scalable systems for model training, validation, deployment, and monitoring. The ideal candidate possesses a strong background in software engineering, machine learning, and DevOps principles, with a proven track record of operationalizing ML models in production environments. You will collaborate with data scientists, software engineers, and infrastructure teams to ensure the efficient and reliable delivery of AI-powered products and services.
Key Responsibilities:
Key Responsibilities:
- Design, build, and maintain scalable and reliable MLOps pipelines for machine learning models.
- Implement infrastructure for model training, hyperparameter tuning, and hyperparameter optimization.
- Develop and manage deployment strategies for ML models across various environments (cloud, on-premise).
- Implement robust monitoring and alerting systems for ML models in production.
- Automate ML workflows using CI/CD principles and tools.
- Collaborate with data scientists to understand model requirements and deployment needs.
- Ensure the performance, scalability, and security of ML infrastructure.
- Stay updated with the latest advancements in MLOps, AI, and cloud technologies.
- Mentor junior engineers and contribute to the team's technical growth.
- Troubleshoot and resolve issues related to ML model deployment and performance.
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8
Lead AI Engineer - Machine Learning Operations (MLOps)
Posted 11 days ago
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Job Description
Our client is at the cutting edge of AI and Emerging Technologies, and they are seeking a highly skilled Lead AI Engineer to spearhead their Machine Learning Operations (MLOps) initiatives. This role is pivotal in bridging the gap between model development and production deployment, ensuring the scalability, reliability, and efficiency of our AI systems. You will be responsible for designing, building, and maintaining the infrastructure and pipelines that support the end-to-end lifecycle of machine learning models. This includes data pipelines, model training, versioning, deployment, monitoring, and continuous integration/continuous deployment (CI/CD) for ML. As a Lead Engineer, you will also mentor junior engineers and guide architectural decisions.
Responsibilities:
Qualifications:
Responsibilities:
- Design, implement, and manage robust MLOps pipelines for automated model training, validation, and deployment.
- Develop and maintain infrastructure for scalable machine learning model serving.
- Implement strategies for monitoring model performance, drift detection, and triggering retraining.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Set up and manage CI/CD pipelines tailored for machine learning workflows.
- Ensure the security, scalability, and reliability of AI/ML infrastructure.
- Evaluate and integrate new MLOps tools and technologies.
- Provide technical leadership and mentorship to a team of AI/ML engineers.
- Document MLOps processes and best practices.
Qualifications:
- Master's or Ph.D. in Computer Science, Engineering, or a related quantitative field.
- 5+ years of experience in software engineering, with a significant focus on MLOps or productionizing machine learning models.
- Proficiency in cloud platforms (AWS, Azure, GCP) and their ML services.
- Strong experience with containerization technologies (Docker, Kubernetes).
- Expertise in CI/CD tools (Jenkins, GitLab CI, GitHub Actions) and infrastructure-as-code (Terraform, Ansible).
- Solid understanding of machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and model development lifecycle.
- Excellent programming skills in Python.
- Strong problem-solving abilities and a proactive approach to identifying and resolving issues.
- Leadership experience and the ability to mentor and guide technical teams.
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