2 Senior Machine Learning Engineer AI Research Remote jobs in whatjobs
Senior Machine Learning Engineer - AI Research (Remote)
Posted 20 days ago
Job Viewed
Job Description
Our client, a forward-thinking organization at the intersection of technology and innovation, is seeking a highly experienced Senior Machine Learning Engineer to join their fully remote AI research team. This role is crucial for pushing the boundaries of artificial intelligence, developing and implementing advanced machine learning models for complex problem-solving. You will be involved in the entire ML lifecycle, from ideation and data preparation to model training, deployment, and optimization. This is a remote-first opportunity to work on challenging AI projects and contribute to significant advancements.
Responsibilities:
Responsibilities:
- Design, develop, and implement state-of-the-art machine learning algorithms and models for various applications.
- Conduct research and experimentation to explore new ML techniques and approaches.
- Process, clean, and transform large datasets to prepare them for model training.
- Train, evaluate, and optimize ML models, ensuring performance, scalability, and efficiency.
- Deploy ML models into production environments and monitor their performance.
- Collaborate with software engineers, data scientists, and domain experts to integrate ML solutions into products and services.
- Stay current with the latest advancements in AI, machine learning, deep learning, and related fields.
- Develop and maintain robust ML pipelines and infrastructure.
- Contribute to technical documentation, research papers, and presentations.
- Mentor junior engineers and contribute to fostering a culture of innovation.
- Identify opportunities for applying AI and ML to solve business challenges.
- Ensure ethical considerations and responsible AI practices are integrated into development processes.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- A minimum of 7 years of hands-on experience in machine learning engineering and applied AI research.
- Proven expertise in developing and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Strong programming skills in Python, and experience with related data science libraries (e.g., Pandas, NumPy).
- Deep understanding of various ML algorithms, including supervised, unsupervised, and deep learning techniques.
- Experience with data processing, feature engineering, and model evaluation techniques.
- Familiarity with MLOps principles and tools for model deployment and monitoring.
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services is highly desirable.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts.
- Ability to work independently and lead complex projects in a fully remote environment.
This advertiser has chosen not to accept applicants from your region.
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Senior Machine Learning Engineer - AI Research (Remote)
Posted 12 days ago
Job Viewed
Job Description
Our client, a leading-edge artificial intelligence research lab, is looking for an exceptional Senior Machine Learning Engineer to join their pioneering, fully remote R&D team. This role is for an individual with a deep theoretical understanding and practical expertise in developing and deploying advanced machine learning models for complex problems. You will be instrumental in designing, building, and optimizing ML systems, contributing to groundbreaking research and product innovation. The role requires a strong foundation in algorithms, data structures, and a passion for pushing the boundaries of AI. This is a fully remote position, offering the flexibility to work from your preferred location while collaborating with a world-class team.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement state-of-the-art machine learning models and algorithms.
- Build and maintain scalable ML pipelines for data preprocessing, model training, and deployment.
- Conduct rigorous experimentation and evaluation of ML models to ensure optimal performance.
- Collaborate with research scientists and software engineers to integrate ML solutions into products and platforms.
- Optimize ML models for efficiency, scalability, and real-time performance.
- Stay abreast of the latest advancements in ML, deep learning, and AI research.
- Contribute to the overall technical strategy and architecture of ML systems.
- Mentor junior engineers and share best practices in ML development.
- Write clean, well-documented, and maintainable code.
- Troubleshoot and debug complex ML systems in production environments.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of hands-on experience in machine learning engineering and applied AI research.
- Proven expertise in developing and deploying ML models using frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and SciPy.
- Solid understanding of algorithms, data structures, and software engineering principles.
- Experience with distributed computing frameworks (e.g., Spark) and cloud platforms (e.g., AWS, GCP, Azure).
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage complex projects in a remote, fast-paced environment.
- Strong communication and collaboration skills, with the ability to explain technical concepts clearly.
- Experience with MLOps practices is highly desirable.
This advertiser has chosen not to accept applicants from your region.
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