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4 machine learning engineering jobs at 4 companies in Pueblo, CO

1mo
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Senior Machine Learning Engineer
Colorado Springs or Fort Carson or Charleston or Denver or San Diego
$110k-$180k/yr OnsiteFull Time
The Marlin Alliance
The Marlin Alliance: Provides digital transformation and automation services to defense agencies.
U.S. citizen with active Top Secret clearance; strong Python and ML experience; experience with distributed systems, cloud-native development, containerization, GIS, and DevOps; able to work aboard Navy vessels.
Apache Kafka, AWS Kinesis, RabbitMQ, ZeroMQ, AWS Lambda, Dask, Spark, AWS S3, RDS, EFS, SNS, SQS, AirByte, Apache Airflow, dbt, Apache Iceberg, Snowflake, ArcGIS, PostGIS, Docker, Kubernetes, Python, Git, Java, C++, Go, Rust, GitHub Actions, GitLab CI, Jenkins, TensorFlow, PyTorch, scikit-learn, AWS, Azure
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2mo
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Machine Learning Engineer
Colorado Springs, Colorado, United States
$135k-$225k/yr OnsiteFull Time
Keysight Technologies
Keysight TechnologiesNYSE: KEYS: Provides electronic design, test, and simulation software and hardware.
4+ YOE4-6 years in ML/DS/AI with strong software engineering; Python and ML libraries; production deployment and ML pipelines; SQL and cloud platforms.
Python, scikit-learn, XGBoost, PyTorch, TensorFlow, MLflow, Airflow, Kubeflow, SageMaker, Databricks, Snowflake, SQL, AWS, GCP, Azure
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2mo
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Machine Learning Engineer
Colorado Springs, Colorado, United States
$100k-$160k/yr OnsiteFull Time
nou Systems
nou Systems: Provides engineering and technology solutions for defense and space systems.
3+ YOEMid-level ML engineer with 3+ years in ML/data science/backend, Python/PyTorch, Linux, containers, GitLab; US citizenship and ability to obtain Secret clearance.
Python, PyTorch, Linux, Docker, Podman, GitLab, VS Code, Dev Containers, Remote SSH, Kubernetes, CI/CD
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AI Engineer/ML Engineer - Senior Developers - AI Training - Colorado Springs, US
Colorado Springs or United States
$80/hr RemoteContract
Prolific
Prolific: Platform connecting researchers and AI developers with verified participants.
Advanced degree in CS/AI/Robotics or related field, professional ML experience (building/deploying/fine-tuning models), deep learning and LLM expertise (Transformers, RLHF, RAG), and ability to audit model logic and spot hallucinations.
PyTorch, TensorFlow, Keras, Python, NumPy, Pandas, Scikit-learn, Hugging Face Transformers, AWS SageMaker, Google Cloud Vertex AI, Weights & Biases, LangChain, Pinecone, Milvus, Weaviate
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