3 Lead AI Engineer Machine Learning jobs in whatjobs
Lead AI Engineer - Machine Learning
Posted 9 days ago
Job Viewed
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.
This advertiser has chosen not to accept applicants from your region.
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Lead AI Engineer - Machine Learning
Posted 3 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Lead AI Engineer specializing in Machine Learning to join their advanced research and development team. This is a fully remote, leadership position focused on designing, developing, and deploying cutting-edge AI and ML solutions. You will guide a team of engineers in building scalable ML models, contributing significantly to the company's technological advancements. The ideal candidate possesses a strong theoretical foundation in machine learning, extensive practical experience in implementing ML algorithms, and a passion for pushing the boundaries of AI. You will be instrumental in shaping the future of our client's AI-driven products and services, working with large datasets and complex architectures.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead the design, development, and deployment of machine learning models and AI systems.
- Mentor and guide a team of AI and ML engineers, fostering a collaborative and innovative environment.
- Research and implement state-of-the-art machine learning algorithms and techniques.
- Work with large, complex datasets to train, test, and validate ML models.
- Develop scalable and robust ML pipelines for data preprocessing, feature engineering, model training, and deployment.
- Collaborate with product managers and stakeholders to define AI/ML project requirements and roadmaps.
- Evaluate and select appropriate ML frameworks, tools, and technologies.
- Ensure the performance, scalability, and reliability of deployed AI solutions.
- Stay abreast of the latest advancements in AI, machine learning, and related fields.
- Contribute to the company's intellectual property through patents and publications where applicable.
- Identify opportunities to leverage AI/ML to solve business problems and create new value.
- Conduct code reviews and provide technical guidance to team members.
Qualifications:
- 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 and Machine Learning development, with at least 3 years in a leadership or senior engineering role.
- Proven track record of successfully delivering complex ML projects from conception to production.
- Deep understanding of ML algorithms (e.g., supervised, unsupervised, deep learning), statistical modeling, and data mining techniques.
- Proficiency in programming languages such as Python, R, and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and team management abilities.
- Exceptional communication and interpersonal skills, with the ability to explain complex technical concepts effectively.
- Ability to thrive in a fast-paced, innovative, and fully remote environment.
This advertiser has chosen not to accept applicants from your region.
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Lead AI Engineer - Machine Learning
Posted 6 days ago
Job Viewed
Job Description
Our client, a visionary technology firm pioneering advancements in artificial intelligence, is seeking an experienced Lead AI Engineer specializing in Machine Learning to join their innovative team. This pivotal role involves leading the design, development, and implementation of sophisticated machine learning models and AI solutions that address complex business challenges. You will be responsible for the end-to-end machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. The ideal candidate will possess a deep understanding of various ML algorithms, deep learning frameworks, and experience with MLOps practices. As a leader, you will mentor junior engineers, collaborate with cross-functional teams, and contribute to shaping the company's AI strategy. This role offers a hybrid work model, providing flexibility while ensuring vital in-person collaboration. Exceptional problem-solving skills, strong analytical capabilities, and a passion for pushing the boundaries of AI are essential.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of machine learning models and AI solutions.
- Oversee the entire ML lifecycle, including data collection, cleaning, feature engineering, model training, validation, and deployment.
- Select and apply appropriate machine learning algorithms and deep learning architectures for specific business problems.
- Develop robust data pipelines and ensure the scalability and efficiency of ML systems.
- Collaborate with data scientists, software engineers, and domain experts to define project requirements and deliverables.
- Implement MLOps practices for continuous integration, continuous delivery, and monitoring of ML models.
- Conduct rigorous testing and evaluation of models to ensure accuracy, performance, and reliability.
- Stay abreast of the latest research and advancements in AI, machine learning, and deep learning.
- Mentor junior AI engineers and foster a culture of innovation and technical excellence.
- Communicate complex technical concepts and findings to both technical and non-technical stakeholders.
- Contribute to the development of the company's AI strategy and technology roadmap.
- Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field.
- Minimum of 8 years of progressive experience in AI and machine learning, with a significant portion in a lead or senior capacity.
- Proven expertise in developing and deploying various ML models, including supervised, unsupervised, and reinforcement learning.
- Strong proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Solid understanding of MLOps principles and tools (e.g., Docker, Kubernetes, MLflow).
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong leadership, communication, and interpersonal skills, with the ability to mentor and inspire a team.
- Experience working in a hybrid work environment and collaborating effectively with distributed teams.
- Ability to translate business requirements into actionable AI solutions.
This advertiser has chosen not to accept applicants from your region.
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