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…

Candidates should have 7+ years of experience as a software engineer and 7+ years of working experience with JavaScript, HTML, and CSS. Expert knowledge of SQL and relational databases such as SQL Server, Postgres, MySQL, or SQLite is required, along with a background in shipping high-quality software. Familiarity with C++ and/or Rust is a plus. The role also requires strong asynchronous written and verbal communication skills for distributed team collaboration, a willingness to provide and rece…

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.

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.

The Principal AI Engineer requires 10+ years of experience in machine learning, with a strong background in designing and implementing scalable, intelligent frameworks that blend ML models, rules, and data-driven logic. They should be able to navigate complexity, bridge ML and systems thinking, and influence teams through deep technical insight and collaboration.

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 have 5+ years of experience in a test engineering role, including 3+ years with Pytest, Selenium, or similar frameworks. A proven track record of leading and executing AI/ML feature testing with expertise in manual and automated UI testing is required, along with proficiency in Python or Javascript. Strong knowledge of SDLC and QA methodologies, experience with test case management and bug tracking tools, and experience leading projects with distributed teams or vendors are als…

Candidates must have a minimum of 10 years of security engineering experience with demonstrated technical leadership, or an equivalent combination of related education and work experience. A strong background in data and ML security, with generative AI experience preferred, is essential. Deep understanding of AI/ML security risks such as adversarial attacks, model poisoning, data privacy, and bias is required. Experience with cloud AI/ML platforms (AWS Bedrock, Azure AI, GCP AI Platform, etc.), …

Candidates must possess a Master's degree with 3 years of experience or a PhD in Computer Science or a related field focusing on AI/ML, robotics, HCI, or NLP. Strong programming, technical writing, and communication skills are essential, along with the ability to comprehend and reproduce academic results and mentor junior colleagues. Experience working with a fully remote team is also required. Desired qualifications include a strong publication record, experience with patents, familiarity with …

Candidates must possess a globally recognized Project or Program Management certification (PMP, PgMP, Scrum Master, PRINCE2, PMI-ACP, etc.) and hold a Bachelor's degree in Computer Science, Computer Engineering, or a related field. A minimum of 5 years of experience in client-facing technology projects, including areas like RPA, large-scale software applications, end-user requirements, or software product development, is required. Strong communication and stakeholder management skills, along wit…

Candidates should possess a Master’s degree in Computer Science or a related field, and have 12+ years of software development experience, with at least 8 years of relevant work experience in developing and deploying AI solutions. They should be proficient in Python and C++, and have experience with Deep Learning frameworks. Strong analytical and debug skills, along with the ability to work independently and as part of a team, are also required.

Candidates should have 5+ years of experience in a pre-sales role for a deeply technical product with a track record of owning multi-level technical sales, early-stage startup experience is highly desirable, experience with data processing, machine-learning systems, MLOps and machine learning infrastructure is required, working knowledge by applying popular machine learning frameworks (Pytorch, Tensorflow, etc) and data processing frameworks (Spark, Flink, Beam etc) to building production grade …

Candidates should possess strong people management skills with at least three years of experience, demonstrating a comfort level with launching new projects and leading teams of over 50 people. They must also exhibit strong collaboration skills, critical thinking and problem-solving abilities, and exceptional organizational skills, along with technical aptitude in tools such as spreadsheets and project management software.

Candidates must have experience building marketing functions from scratch, an AI-first mindset, and cross-functional leadership skills to rally sales and engineering around marketing initiatives. Technical fluency is essential for translating complex technology into compelling stories. Prior experience in AI/ML marketing, professional services, or consulting, along with a track record of building thought leadership programs and hands-on experience with AI tools, are considered advantageous.