Remote AI Engineer Jobs

Candidates should possess proficiency in programming languages such as Python, R, or Java, along with hands-on experience with AI frameworks like TensorFlow, PyTorch, or scikit-learn. Strong knowledge of data preprocessing, feature engineering, and model evaluation metrics is required, as is expertise in at least one domain including Natural Language Processing (NLP), Computer Vision, Reinforcement Learning, or Generative AI. Familiarity with cloud platforms like AWS, Google Cloud, or Azure for…

Candidates must possess a Master's degree in Robotics, Computer Science, Engineering, or a related technical field, along with 10 years of extensive experience in simulation and testing, preferably within the autonomous vehicle domain. A proven track record in developing or testing large-scale Machine Learning systems, strong understanding of simulation platforms and methodologies, hands-on expertise in implementing robust validation methods and evaluation strategies, strong software engineering…

- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field - 10+ years of product management experience, including 3+ years leading AI/ML or data-driven products in production environments - Proven success building and launching AI-powered features at scale, ideally within enterprise SaaS or healthcare technology - Strong understanding of machine learning lifecycles, model evaluation, and human-in-the-loop systems - Excellent communicator who can translate c…

- 7+ years of product management experience, including 2+ years in lead-level roles building user-facing AI features - Strong execution and delivery skills: ability to scope MVPs, align stakeholders, and ship quality products in ambiguous 0 → 1 environments - Successfully led the development and launch of 0 → 1 products and had those products achieve significant adoption and engagement - Excellent communication skills, especially in translating clinical and technical concepts into actionable pro…

Candidates should possess 2+ years of experience as an AI Engineer, demonstrating a proven ability to build and deploy successful AI-enabled solutions, along with strong programming skills in languages such as Python and expertise in developing and deploying AI and ML models. Familiarity with AI and ML frameworks is also required, as well as advanced knowledge in machine learning and associated algorithms.

- Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field - 5+ years of experience in AI/ML research and applied development - Deep expertise in modern ML architectures (transformers, generative AI, multimodal systems) - Strong programming skills in Python

- Extensive experience in AI research and development, with a strong focus on natural language processing, deep learning, and computer vision - Proven track record of leadership in driving AI initiatives, including strategy development, technology innovation, and team management - Solid understanding of AI algorithms, models, and architectures, with expertise in applying them to real-world applications

Candidates should possess 6+ years of experience in software development, demonstrating expertise in modern programming languages, and a passion for AI and its transformative potential. They should also exhibit strong problem-solving and analytical skills, coupled with a track record of driving innovation in fast-paced, iterative development environments, and excellent communication skills with a collaborative mindset.

- Expertise in developing product strategies aligned with business objectives and market trends - Strong experience as a product manager for SaaS-based collaboration products, AI user interfaces - Passion for delivering value to drive customer success

- 2+ years of direct people management experience - Track record of developing talent - Ability to navigate complexity

Candidates should possess a Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field, and a minimum of 12 years of combined experience in product management, data science, software development, or machine learning operations. Significant experience in a technical product leadership role within a technology or retail/CPG company is required, along with a strong understanding of AI technologies such as generative and agentic AI, computer vision, and digital twin simulati…

Candidates should possess a degree in Computer Science or equivalent professional experience with a strong understanding of data structures, algorithms, and distributed systems. Prior work experience is preferred, although not required.

Candidates should possess a deep understanding of AI technologies and product offerings, along with a proven track record in sales, particularly in building relationships and negotiating high-value deals with senior executives. Strong communication and interpersonal skills are essential, as well as the ability to adapt to a fast-paced environment and manage changing priorities.

Candidates should possess a strong technical background, ideally with a Bachelor’s degree in Computer Science, Engineering, or a related field, and demonstrate a deep understanding of AI research and data solutions. Experience in pre-sales support, particularly within the technology sector, is highly desirable, along with familiarity with data annotation platforms and AI pipeline integrations. A passion for advanced AI and the pursuit of Artificial General Intelligence (AGI) is essential.

- 6+ years enterprise class financial systems solution delivery and solution architecture with complex integrations - Oracle ERP Cloud – financial implementation and techno functional knowledge of the work streams Q2C, T2R, P2R, A2R, R2R, S2P - Oracle Integration Cloud, specifically related to ERP Cloud integrations to apps such as Coupa, iCertis, FieldGlass, Kafka, Workday - Thorough knowledge of SDLC and agile techniques - Disaster recovery planning for SaaS applications - Strong interpersonal…