Machine Learning Engineer @ Air Space Intelligence

What we value: Proficiency in Python and experience with production ML tooling and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience using LLMs in production environments — covering prompt engineering, fine-tuning, RAG systems, and frameworks like LangChain Strong understanding of data structures, algorithms, and software engineering best...

What we value: Proficiency in at least one modern programming language. We work in Rust and Python and expect you to have the foundation to quickly learn these languages.. Familiarity with optimization algorithms, domain modeling and data structures, and cloud infrastructure. A bias for action. When you see a problem, you solve it. An aptitude for learning...

What we value Strong software development skills, specifically in Python, JavaScript, Typescript. Experience w/ building infrastructure in AWS, Kubernetes, Docker, Terraform. Experience working with time-series and geospatial data. Talent and experience to lead. Flexibility to adjust to changing business priorities. What we offer: Flexible Working Hours:...

What We Value: Proficiency in React Native, React, JavaScript/TypeScript. Familiarity with implementing native modules using Swift and Objective-C. Experience developing products for low connectivity and offline environments. Experience building map-based applications using Mapbox, MapLibre, or Google Maps SDKs. A strong sense of urgency, with a focus on...

What we value: Ability to maintain and grow our infrastructure stack (K8s, AWS, Docker, Terraform, Helm) Deep understanding of CI/CD pipelines (CircleCi) Advanced knowledge of Kubernetes, Docker, and an OO Language along with AWS PostgreSQL, Helm, Terraform, Python 3, Grafana Ability to collaborate with others across multiple teams Flexibility to adjust to...

3+ years of experience in ML/NLP/GenAI development Hands-on experience with LLMs, prompt engineering, and ML platform frameworks Proficiency in Python and frameworks like Hugging Face, PyTorch, or TensorFlow Familiarity with both relational and non-relational databases, vector databases, and graph databases (e.g., PostgreSQL, MongoDB, Pinecone,...

You must have: a minimum of 4 years in a machine learning or AI engineering role, with hands-on experience in building and deploying models in production environments, strong programming skills in Python and experience with machine learning libraries and frameworks (e.g., PyTorch, TensorFlow), experience with Generative AI and Large Language Models...

Job DescriptionWe are seeking an exceptional Data Science Solutions Architect to join our team. As a key member of our data science organization, you will be responsible for designing, developing, and deploying state-of-the-art data science solutions in areas such as GenAI, Computer Vision, RCA, EDA, NLP.The ideal candidate will have expertise in leading...

Job Title: Expert in Artificial Intelligence and Data ScienceAs an expert in artificial intelligence and data science, you will have the opportunity to work on a wide range of projects that involve designing and implementing scalable AI solutions.Key Responsibilities:• Develop, implement, and validate machine learning solutions tailored to specific project...

What you’ll need to succeed in this role: 5+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, GenAI, LLMs, Deep Learning). Proficiency in developing ML algorithms from scratch to production deployment. Strong programming skills in Python:...