5 Lead Machine Learning Engineer Remote jobs in whatjobs
Lead Machine Learning Engineer (Remote)
Posted 22 days ago
Job Viewed
Job Description
Our client, a cutting-edge technology firm renowned for its innovative AI solutions, is seeking a highly accomplished Lead Machine Learning Engineer to spearhead the development and deployment of advanced AI models. This is a fully remote, senior leadership position offering the opportunity to shape the future of machine learning within the organization. You will be responsible for architecting, building, and optimizing machine learning systems that address complex business challenges. This includes overseeing the entire ML lifecycle, from data ingestion and preprocessing to model training, evaluation, and deployment into production environments. The ideal candidate will have a strong theoretical foundation in ML algorithms and practical experience in implementing scalable ML solutions. You will mentor junior engineers, drive best practices in MLOps, and collaborate closely with product managers and data scientists to translate business needs into effective AI capabilities. Your expertise will be crucial in pushing the boundaries of what's possible with AI.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and deploy scalable machine learning models and systems.
- Lead the end-to-end ML lifecycle, including data preparation, feature engineering, model training, and evaluation.
- Architect robust and efficient ML pipelines for production environments.
- Mentor and guide a team of machine learning engineers and data scientists.
- Drive the adoption of best practices in MLOps, model versioning, and continuous integration/deployment.
- Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.
- Evaluate and select appropriate ML algorithms and tools for specific problems.
- Monitor and maintain deployed ML models, ensuring performance and reliability.
- Conduct research on state-of-the-art ML techniques and technologies.
- Contribute to the strategic direction of the AI/ML roadmap.
- Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- Minimum of 8 years of experience in machine learning engineering or a related role, with at least 2 years in a lead capacity.
- Strong expertise in programming languages such as Python, and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Proven experience in building and deploying production-level ML systems.
- Deep understanding of various ML algorithms, including supervised, unsupervised, and deep learning techniques.
- Experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow).
- Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership, communication, and team collaboration abilities.
- Ability to thrive in a fast-paced, fully remote work environment.
This advertiser has chosen not to accept applicants from your region.
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Lead Machine Learning Engineer (Remote)
Posted 15 days ago
Job Viewed
Job Description
Our client is seeking a visionary and experienced Lead Machine Learning Engineer to spearhead their cutting-edge AI initiatives. This is a fully remote opportunity, allowing you to contribute your expertise from anywhere. You will be instrumental in designing, developing, and deploying sophisticated machine learning models that solve complex business problems and drive innovation. This role demands a strong foundation in machine learning algorithms, deep learning frameworks, statistical modeling, and a passion for staying at the forefront of AI research. You will lead a team of talented engineers, guide technical decisions, and ensure the successful integration of AI solutions into our client's products and services. The ideal candidate will have a proven ability to translate business needs into scalable AI systems, manage MLOps pipelines, and foster a collaborative and high-performance engineering culture. Responsibilities include:
- Designing and implementing end-to-end machine learning solutions, from data preprocessing to model deployment and monitoring.
- Leading the development of novel algorithms and models for tasks such as natural language processing, computer vision, predictive analytics, and recommendation systems.
- Mentoring and guiding a team of ML engineers, fostering their technical growth and ensuring project success.
- Collaborating with product managers and stakeholders to define AI roadmaps and prioritize development efforts.
- Building and maintaining robust MLOps pipelines for automated training, deployment, and monitoring of models.
- Evaluating and selecting appropriate tools, frameworks, and technologies for ML development.
- Conducting research into new AI techniques and technologies to identify opportunities for innovation.
- Ensuring the scalability, reliability, and performance of ML systems in production environments.
- Driving best practices in code quality, testing, and documentation for ML projects.
- Contributing to the company's intellectual property through research and publications.
This advertiser has chosen not to accept applicants from your region.
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Lead Machine Learning Engineer - Remote
Posted 19 days ago
Job Viewed
Job Description
Our client is searching for a highly skilled and motivated Lead Machine Learning Engineer to join their innovative, fully remote team. This role is central to designing, building, and deploying advanced machine learning models and systems that drive business solutions. You will lead the ML engineering efforts, mentor junior engineers, and collaborate with data scientists and software developers to translate complex data into actionable insights. The ideal candidate possesses a strong background in ML algorithms, proficiency in programming languages like Python, experience with ML frameworks, and a track record of successfully deploying models into production environments.
Responsibilities:
This is a remote-first position that demands strong technical leadership, excellent problem-solving skills, and the ability to work autonomously. You will be an integral part of a globally distributed team, contributing to high-impact projects. The opportunity to shape the future of AI-driven products and services is substantial. We are looking for a visionary leader passionate about machine learning and experienced in leading remote technical teams. The successful candidate will be adept at managing complex ML projects and fostering collaboration within a virtual environment. Your expertise will guide the development of cutting-edge ML applications. While the role is remote, the team has a significant presence and connection to Naivasha, Nakuru, KE .
Responsibilities:
- Design, develop, and implement scalable machine learning models and algorithms.
- Build and maintain robust ML pipelines for data preprocessing, model training, and deployment.
- Collaborate with data scientists to prototype and validate new ML approaches.
- Optimize ML models for performance, efficiency, and scalability.
- Deploy ML models into production environments and monitor their performance.
- Lead and mentor a team of ML engineers, fostering a culture of innovation and technical excellence.
- Stay abreast of the latest advancements in machine learning and AI technologies.
- Work with software engineering teams to integrate ML solutions into existing products and platforms.
- Define ML engineering best practices and standards.
- Troubleshoot and resolve complex issues related to ML systems.
This is a remote-first position that demands strong technical leadership, excellent problem-solving skills, and the ability to work autonomously. You will be an integral part of a globally distributed team, contributing to high-impact projects. The opportunity to shape the future of AI-driven products and services is substantial. We are looking for a visionary leader passionate about machine learning and experienced in leading remote technical teams. The successful candidate will be adept at managing complex ML projects and fostering collaboration within a virtual environment. Your expertise will guide the development of cutting-edge ML applications. While the role is remote, the team has a significant presence and connection to Naivasha, Nakuru, KE .
This advertiser has chosen not to accept applicants from your region.
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Lead Machine Learning Engineer - Remote
Posted 11 days ago
Job Viewed
Job Description
Our client is a cutting-edge research and development firm looking for a Lead Machine Learning Engineer to spearhead their advanced AI initiatives. This is a fully remote position, offering the opportunity to work on groundbreaking projects from anywhere. You will be responsible for designing, developing, and deploying state-of-the-art machine learning models and algorithms that solve complex real-world problems. This role requires a deep understanding of ML principles, strong programming skills, and the ability to lead a team of talented engineers. You will collaborate closely with data scientists, researchers, and software engineers to translate research findings into robust, scalable ML solutions. Your responsibilities will include overseeing the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. Experience with various ML frameworks and platforms, as well as cloud computing environments, is essential. This is an exciting opportunity for an experienced ML leader to shape the future of artificial intelligence in a collaborative and innovative remote setting. You will mentor junior team members, contribute to architectural decisions, and ensure the highest standards of code quality and MLOps practices. The successful candidate will be a visionary thinker, capable of pushing the boundaries of what's possible with machine learning and driving impactful innovation.
Responsibilities:
Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms.
- Lead the development and deployment of ML solutions into production environments.
- Oversee the end-to-end ML lifecycle, including data preparation, feature engineering, model training, and evaluation.
- Collaborate with cross-functional teams to define project requirements and deliverables.
- Mentor and guide junior machine learning engineers.
- Research and implement new ML techniques and technologies.
- Ensure the scalability, reliability, and performance of ML systems.
- Contribute to architectural decisions and MLOps best practices.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven experience (7+ years) in machine learning engineering and algorithm development.
- Expertise in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn.
- Strong understanding of statistical modeling, deep learning, and natural language processing.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Excellent leadership, communication, and problem-solving skills.
- Demonstrated ability to work effectively in a remote, collaborative team environment.
- Experience with big data technologies (Spark, Hadoop) is a plus.
This advertiser has chosen not to accept applicants from your region.
3
Lead Machine Learning Engineer - Remote
Posted 6 days ago
Job Viewed
Job Description
Our client, a highly innovative research and development organization focused on solving complex global challenges through cutting-edge science and technology, is seeking an experienced Lead Machine Learning Engineer to join our fully remote, world-class team. In this pivotal role, you will be responsible for leading the design, development, and deployment of advanced machine learning models and systems that drive significant scientific breakthroughs. You will guide a team of talented ML engineers and researchers, oversee the entire ML lifecycle from data preprocessing to model deployment and monitoring, and collaborate with domain experts to translate scientific challenges into actionable ML solutions. This position requires a profound understanding of ML algorithms, deep learning frameworks, and a passion for applying AI to impactful scientific research.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of sophisticated machine learning models and algorithms for complex scientific research problems.
- Mentor and guide a team of junior and senior machine learning engineers and data scientists, fostering a collaborative and innovative research environment.
- Oversee the end-to-end machine learning lifecycle, including data collection, preprocessing, feature engineering, model training, validation, and deployment.
- Collaborate closely with domain experts (e.g., biologists, physicists, chemists) to understand research objectives and translate them into effective ML solutions.
- Develop and implement robust MLOps pipelines for automated model training, deployment, monitoring, and retraining.
- Evaluate and select appropriate ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and tools for specific research projects.
- Optimize ML models for performance, scalability, and efficiency in research environments.
- Stay at the forefront of machine learning research and advancements, identifying and integrating novel techniques into our projects.
- Contribute to the research and development of new AI methodologies and applications in scientific domains.
- Communicate complex technical findings and project status updates to both technical and non-technical stakeholders.
- Ensure the reproducibility and integrity of ML experiments and results.
- Contribute to grant proposals and research publications.
- Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
- Minimum of 8 years of experience in machine learning engineering, with at least 3 years in a leadership or lead role.
- Demonstrated expertise in developing and deploying advanced ML models (e.g., deep learning, reinforcement learning, NLP) for scientific applications.
- Strong programming skills in Python and proficiency with ML libraries/frameworks such as TensorFlow, PyTorch, scikit-learn.
- Experience with MLOps tools and best practices (e.g., Docker, Kubernetes, CI/CD pipelines, MLflow).
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience with cloud platforms (AWS, Azure, GCP) for ML workloads.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and leadership abilities, with experience managing technical teams.
- Ability to work effectively in a highly collaborative, remote research environment.
- Experience with large-scale data processing frameworks (e.g., Spark) is a plus.
- Publications in top-tier ML conferences or journals are highly desirable.
This advertiser has chosen not to accept applicants from your region.
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