3 Lead AI Machine Learning Engineer Remote jobs in whatjobs

Lead AI & Machine Learning Engineer (Remote)

80200 Casuarina KES400000 Annually WhatJobs

Posted 12 days ago

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Job Description

full-time
Our client is seeking a highly innovative and experienced Lead AI & Machine Learning Engineer to drive the development and deployment of cutting-edge artificial intelligence solutions. This is a fully remote position, offering the opportunity to work on challenging projects from anywhere. You will lead a team of talented engineers in designing, building, and implementing sophisticated machine learning models and algorithms to solve complex business problems. Your responsibilities will include identifying new AI opportunities, architecting scalable ML systems, conducting rigorous model testing and validation, and ensuring the seamless integration of AI solutions into existing products and services. The ideal candidate possesses a deep understanding of various ML techniques, strong programming skills, and a passion for pushing the boundaries of AI. This remote leadership role requires exceptional technical expertise and strong communication and collaboration skills for virtual team management.

Key Responsibilities:
  • Lead the design, development, and deployment of advanced AI and machine learning models and algorithms.
  • Architect scalable and robust machine learning systems and pipelines.
  • Collaborate with product managers and stakeholders to identify and prioritize AI initiatives.
  • Conduct research and experimentation to evaluate new ML techniques and technologies.
  • Develop and implement strategies for data preprocessing, feature engineering, and model training.
  • Ensure the performance, reliability, and scalability of AI solutions.
  • Oversee the testing, validation, and deployment of machine learning models into production environments.
  • Mentor and guide junior AI/ML engineers, fostering a culture of technical excellence.
  • Stay abreast of the latest advancements in AI, machine learning, and deep learning.
  • Contribute to the development of internal AI/ML best practices and standards.
  • Effectively communicate complex technical concepts to both technical and non-technical audiences.

Qualifications:
  • Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
  • Minimum of 7 years of progressive experience in AI and machine learning engineering, with a proven track record of delivering impactful solutions.
  • Deep understanding of ML algorithms, statistical modeling, and data mining techniques (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision).
  • Proficiency in programming languages such as Python, R, Java, or Scala, and experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
  • Strong experience in data manipulation, feature engineering, and model evaluation.
  • Excellent problem-solving, analytical, and critical-thinking skills.
  • Exceptional leadership, communication, and interpersonal skills for effective remote team management.
  • Proven ability to lead technical projects and mentor engineering teams.
  • Experience with MLOps and model deployment strategies is highly desirable.
  • While this role is fully remote, proximity to **Malindi, Kilifi, KE**, could be beneficial for team alignment with other localized company functions.
Our client is a forward-thinking technology company at the forefront of AI innovation. This remote position offers an exceptional opportunity to shape the future of artificial intelligence.
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Lead AI & Machine Learning Engineer - Remote

20100 Mwembe KES250000 Annually WhatJobs

Posted 6 days ago

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Job Description

full-time
Our client, a groundbreaking technology firm at the forefront of artificial intelligence and emerging technologies, is seeking an exceptional Lead AI & Machine Learning Engineer to join their dynamic remote team. This is a fully remote position that offers the chance to work on cutting-edge AI projects with global impact. You will be responsible for the design, development, and deployment of advanced machine learning models and AI solutions that address complex business challenges. This includes leading the entire ML lifecycle, from data acquisition and preprocessing to model training, evaluation, and production deployment. You will spearhead research into new AI techniques, algorithms, and frameworks, staying abreast of the latest advancements in the field. Your role will involve mentoring and guiding junior engineers, fostering a culture of innovation and technical excellence within the team. You will collaborate closely with data scientists, software engineers, and product managers to integrate AI capabilities into our core products and services. Strong expertise in deep learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python), and cloud platforms (e.g., AWS, Azure, GCP) is essential. Experience with big data technologies and MLOps practices for scalable model deployment is highly valued. You must possess excellent analytical and problem-solving skills, with a proven ability to translate abstract concepts into tangible, high-performing AI solutions. Exceptional communication and leadership skills are required to guide projects and collaborate effectively with cross-functional teams remotely. We are looking for a strategic thinker with a passion for pushing the boundaries of AI and a proven ability to lead complex technical initiatives. If you are driven to make a significant impact in the AI space from a remote setting and have a strong vision for the future of artificial intelligence, we encourage you to apply. Your contributions will be instrumental in shaping intelligent systems and driving innovation.
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Lead AI & Machine Learning Engineer (Remote)

00900 Mwembe KES120000 Annually WhatJobs

Posted 4 days ago

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Job Description

full-time
Our client, a cutting-edge technology firm at the forefront of AI innovation, is seeking a talented and visionary Lead AI & Machine Learning Engineer. This is a fully remote position, offering you the opportunity to shape groundbreaking AI solutions from anywhere. You will be responsible for designing, developing, and deploying advanced machine learning models and AI systems that solve complex business problems. The ideal candidate will have a deep understanding of machine learning algorithms, deep learning frameworks, statistical modeling, and programming languages such as Python. Your responsibilities will include data preprocessing, feature engineering, model training and evaluation, and deploying models into production environments. You will lead a team of AI/ML engineers, providing technical guidance, mentorship, and ensuring the quality and efficiency of development processes. This role requires a strong ability to translate business needs into technical requirements and to identify opportunities for applying AI and ML to drive innovation. You will conduct research on the latest AI advancements, experiment with new techniques, and contribute to our client's intellectual property. Excellent communication and collaboration skills are essential for working with cross-functional teams, including data scientists, software engineers, and product managers, and for presenting complex findings to stakeholders. We are looking for an individual with a passion for artificial intelligence, exceptional problem-solving skills, and a proven track record of delivering successful AI/ML projects. Your leadership and technical expertise will be critical in advancing our client's AI capabilities and maintaining their position as an industry leader. This role demands significant autonomy, strong strategic thinking, and the ability to manage complex projects and inspire a team in a remote setting. If you are a pioneering AI/ML engineer ready to build the future, we encourage you to apply for this exciting remote opportunity, contributing to projects affecting the ecosystem around Nakuru, Nakuru, KE .
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