Senior Machine Learning Engineer - Rust and Cloud Systems

Job DescriptionJob Description

Who we are:

Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.

Job Description:

Job Title : Senior Machine Learning Engineer Rust and Cloud Systems

Job Type : W2 / C2C

Experience : 10 - 11 Years

Location : Austin, Texas

Responsibilities:

• Proven experience in developing machine learning models and systems.
• Proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
• Strong programming experience with Rust.
• Hands-on experience with data analysis, statistical modeling, and data preprocessing.Expertise in data science and machine learning algorithms (e.g., supervised/unsupervised learning, deep learning, reinforcement learning).
• Solid understanding of distributed computing and data processing frameworks (e.g., Spark, Hadoop).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes).
• Knowledge of model evaluation, tuning, and deployment practices.
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Look for only product base experience profiles
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• Experience with reinforcement learning and advanced optimization techniques.
• Familiarity with Rust-based data processing libraries and frameworks.
• Understanding of scalable system architecture and performance tuning.
• Strong mathematical background in linear algebra, probability, and optimization.
• Knowledge of MLOps practices for maintaining and scaling production systems.
• Prior experience in high-stakes domains such as finance, healthcare, or autonomous systems.

Qualification:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.