2 Lead AI Engineer Deep Learning jobs in whatjobs
Lead AI Engineer - Deep Learning
Posted 19 days ago
Job Viewed
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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Lead AI Engineer (Deep Learning)
Posted today
Job Viewed
Job Description
Our client is seeking an accomplished Lead AI Engineer specializing in Deep Learning to drive the development of advanced artificial intelligence solutions. This is a fully remote position that offers the opportunity to work on challenging and impactful projects from anywhere. You will lead a team of talented AI engineers, guiding the design, development, and deployment of scalable deep learning models and applications that solve complex business problems. The ideal candidate possesses a deep understanding of AI principles, a proven track record in leading ML projects, and excellent team leadership skills.
Key Responsibilities:
Key Responsibilities:
- Lead the design, implementation, and deployment of deep learning models and AI systems.
- Develop and optimize complex algorithms for various AI applications, including but not limited to, natural language processing, computer vision, and predictive modeling.
- Manage and mentor a team of AI engineers, fostering a collaborative and innovative environment.
- Oversee the entire machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment.
- Collaborate with product managers, data scientists, and software engineers to define AI strategy and roadmaps.
- Ensure the scalability, reliability, and performance of AI solutions in production environments.
- Stay abreast of the latest advancements in deep learning, machine learning, and AI research.
- Contribute to the company's intellectual property through publications and patents.
- Establish and enforce best practices for AI development, MLOps, and code quality.
- Evaluate and integrate new AI technologies and tools to enhance development capabilities.
This advertiser has chosen not to accept applicants from your region.
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