Machine Learning & Signal Processing Scientist at BlueGreen Water Technologies analyzing multi - source environmental data. Focused on developing algorithms and models for signal processing and machine learning techniques.
About the role
- Lead machine learning engineer developing solutions for Army enterprise AI and ML team. Collaborating with experts to deliver cutting-edge analytics and models for real-world challenges.
Responsibilities
- Conduct statistical analyses on business processes using ML techniques
- Train, test, deploy, and maintain ML models
- Lead the direction of critical solutions by applying best-fit ML algorithms
- Collaborate with AI and ML solution architects, intel analysts, cloud architects, data engineers, and data scientists
- Process data at massive scale
- Perform A/B testing tasks on ML models and integrated cloud systems
- Guide clients through ML algorithms, tools, and frameworks
Requirements
- 8+ years of experience engineering code in an object-oriented language such as Python, C, C++, Go, Rust, Java, or Haskell
- 4+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data
- 3+ years of experience implementing advanced data science, natural language processing, or machine learning models
- 3+ years of experience coding Dataframes utilizing Pandas, Polars, or PySpark
- 2+ years of experience designing, developing, operationalizing, and maintaining complex data science applications at enterprise scale
- 2+ years of experience working with algorithms, machine learning models, or MLOps to produce analytical or visual products
- Knowledge of data formats such as JSON, Parquet, Avro, or CSV
- Secret clearance
- Bachelor's degree in Computer Science or Computer Engineering
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
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