2 Principal Machine Learning Engineer Remote jobs in whatjobs
Principal Machine Learning Engineer - Remote
Posted 12 days ago
Job Viewed
Job Description
Our client is looking for a visionary Principal Machine Learning Engineer to spearhead the development of advanced AI solutions within their research and development division. This role is entirely remote, empowering you to contribute your expertise from anywhere in Kenya. You will be instrumental in designing, implementing, and deploying sophisticated machine learning models that solve complex scientific and business challenges. This position demands a deep understanding of ML algorithms, robust engineering practices, and the ability to translate intricate data problems into scalable solutions.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of state-of-the-art machine learning models and algorithms.
- Architect scalable and robust ML systems for data processing, model training, and inference.
- Collaborate with domain experts and data scientists to define ML problems and develop effective solutions.
- Mentor and guide junior engineers, fostering a culture of technical excellence and innovation.
- Evaluate and select appropriate ML frameworks, tools, and technologies.
- Conduct thorough research on new ML techniques and their potential applications.
- Optimize model performance, efficiency, and scalability for production environments.
- Develop and maintain comprehensive documentation for ML models and systems.
- Contribute to the strategic direction of AI and ML initiatives within the organization.
- Ensure ethical considerations and bias mitigation are integrated into ML development processes.
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 10+ years of experience in machine learning engineering or a closely related role, with a significant focus on building production-level ML systems.
- Expertise in programming languages such as Python, and proficiency with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Deep understanding of various ML algorithms, including deep learning, reinforcement learning, and natural language processing.
- Proven experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong software engineering fundamentals, including data structures, algorithms, and system design.
- Excellent problem-solving abilities and a passion for tackling challenging problems.
- Demonstrated leadership skills and the ability to mentor others.
- Outstanding communication and interpersonal skills, suitable for a remote team environment.
This advertiser has chosen not to accept applicants from your region.
0
Principal Machine Learning Engineer (Remote)
Posted 3 days ago
Job Viewed
Job Description
Our client, a pioneering technology company at the cutting edge of artificial intelligence, is seeking an exceptional Principal Machine Learning Engineer to join our world-class, fully remote research and development team. This senior role is critical for designing, developing, and deploying advanced machine learning models and systems that power our innovative products and services. You will tackle complex problems, drive technical strategy, and mentor other engineers, contributing significantly to our AI advancements. The ideal candidate possesses deep expertise in various ML domains, a strong understanding of software engineering best practices, and a passion for pushing the boundaries of what's possible. As a remote team member, you will collaborate globally with leading researchers and engineers, leveraging state-of-the-art tools and infrastructure.
Key Responsibilities:
Key Responsibilities:
- Design, implement, and scale robust machine learning models and algorithms for diverse applications.
- Lead the development of ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
- Conduct research into new ML techniques and technologies, assessing their potential impact and applicability.
- Optimize existing ML systems for performance, scalability, and efficiency.
- Collaborate with product managers and domain experts to define ML requirements and translate them into actionable technical solutions.
- Mentor and guide junior ML engineers, fostering a culture of technical excellence and continuous learning.
- Develop and maintain high-quality, production-ready code for ML systems.
- Stay current with the latest advancements in the ML field and contribute to internal knowledge sharing.
- Champion best practices in MLOps, model versioning, and deployment.
- Contribute to the overall AI strategy and technical roadmap of the organization.
- Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
- Minimum of 8 years of hands-on experience in machine learning engineering, with a significant focus on building and deploying production-grade ML systems.
- Expertise in at least one major ML framework (e.g., TensorFlow, PyTorch, scikit-learn) and strong programming skills in Python.
- Deep understanding of various ML algorithms, including supervised, unsupervised, and deep learning techniques.
- Proven experience with MLOps practices, including CI/CD for ML, model monitoring, and deployment strategies.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and leadership skills, essential for effective collaboration in a remote, global team.
- Ability to work independently, take ownership, and drive complex projects to completion.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Principal machine learning engineer remote Jobs in Kenya !
1