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…

- Bachelor's Degree (Required); MS degree preferred in a technical or numerical field - 5+ years of experience in Banking, FinTech, or Marketing - 15+ years’ experience designing and developing various Applications and/or Data Engineering pipelines - 5+ years’ experience leading Data engineers and App Developers and building Financial Services Solutions in big data infrastructure - Experience in LangGraph, LangChain, RAG Chatbots, Vector Databases, NLP-based automation, MCP Server Development, E…

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…

- 3+ years of professional experience in full-stack software development - 1+ year of experience working with LLMs - Strong programming skills in Python and/or JavaScript/TypeScript - Experience using LLM frameworks such as LlamaIndex, LangChain, and LangGraph - Experience with cloud providers (AWS/Azure/GCP) and deploying AI services at scale - Knowledge of modern web development frameworks (React, Node.js) and API design - Strong problem-solving skills - Excellent communication skills to expla…

- Proficient in applying statistics, programming, data modeling, simulation, and advanced mathematics to business questions - Proven experience with exploratory data analysis techniques, machine learning algorithms (including generative models), model validation techniques, and data visualization techniques - Strong knowledge in technical areas such as SQL, Python, Spark, Jupyter, and associated packages and libraries, specifically tailored to Generative AI - Experience with Generative AI - Bach…

- 5+ years of professional experience building data-centric software, as a machine learning engineer, AI specialist, software-focused data scientist, or similar - Experience building and deploying production applications and a deep understanding of the end to end components of a Cloud based application - Track record as an engineer building for production, ideally with machine learning algorithms (typically Python), logic and platform services, and intelligent systems at scale - Demonstrated abi…

- Bachelor's Degree (Required); MS degree preferred in a technical or numerical field - 5+ years of experience in Banking, FinTech, or Marketing - 15+ years’ experience designing and developing various Applications and/or Data Engineering pipelines - 5+ years’ experience leading Data engineers and App Developers and building Financial Services Solutions in big data infrastructure - Experience in LangGraph, LangChain, RAG Chatbots, Vector Databases, NLP-based automation, MCP Server Development, E…

- 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…

- Bachelor's degree in Computer Science, Statistics, Mathematics, or related field - 2+ years of experience in data science or a related field - Strong programming skills in languages such as Python, R, or SQL - Experience with machine learning algorithms and deep learning frameworks - Strong understanding of statistical concepts and mathematical modeling - Experience with data visualization tools and techniques - Ability to communicate complex technical concepts to non-technical stakeholders - …

- 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 - Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding ML excellence across the organization

- 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

- 7+ years of experience in Machine Learning, Data Science, or Applied AI - Expertise in Python, and strong familiarity with PyTorch, TensorFlow, and cloud ML stacks (AWS, Databricks, or similar) - Proven experience deploying production ML systems—not just prototypes—at scale - Strong background in LLMs, time-series modeling, and anomaly detection for real-world data - Demonstrated ability to lead architectural decisions, mentor engineers, and collaborate across product, data, and platform teams…

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.

- Bachelor’s degree or any suitable combination of education, experience, and training - At least 5 years of experience in Product Management, including ownership of products involving data, ML, or automation - Strong grasp of experimentation, model feedback loops, and user behavior measurement - Ability to collaborate closely with technical teams on AI model lifecycle, inference constraints, and model monitoring - Track record of launching AI powered features that show measurable success - Skil…

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…