SciTec has been awarded multiple government contracts and is growing our creative Team! SciTec, Inc. is a dynamic small business with the mission to deliver advanced sensor data processing technologies and scientific instrumentation capabilities in support of National Security and Defense. We support customers throughout the Department of Defense and U.S. Government in building innovative new tools to deliver unique world-class data exploitation capabilities.

Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered.

We are seeking an experienced Machine Learning Engineer to join and help shape our new MLOps team. This role focuses on designing, developing and optimizing machine learning models for R&D software development and the transition into operational environments.

As part of the Future Systems team, you will have the opportunity to establish machine learning best practices and develop solutions to complex real-world problems across a variety of agencies.

Responsibilities

Employ and evaluate high-performing ML models in simulation environments
Work collaboratively to design and develop ML approaches using cutting edge algorithms
Develop modular and flexible ML pipelines that ensure accuracy and reliability
Work with cross-functional teams, including Software Developers, Analysts, and DevOps, to integrate and enhance ML systems
Define touchpoints and handoffs with DevOps and Analysts to ensure seamless integration of ML workflows with existing infrastructure and data pipelines
Ensure developed pipelines and containers adhere to cybersecurity best practices including monitoring and logging
Mentor junior team members and contribute to building a collaborative and innovative team culture
Other duties as assigned

Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related technical field
5+ years developing ML solutions
Expertise in architecting Python applications for large-scale systems, mentoring junior engineers in Python best practices, and optimizing code for high performance
Familiarity with theoretical understanding of deep learning approaches, decision models, etc.
Advanced expertise in designing and optimizing ML workflows
Advanced expertise in designing workflows using MLflow, PyTorch or Tensorflow to streamline experimentation and production deployments
Strong problem-solving and analytical skills
Excellent communication and collaboration capabilities
Ability to thrive in a dynamic, fast-paced environment
Demonstrated attention to detail

Preferred Qualifications

Familiarity with C++ and/or Rust
Experience with distributed data processing frameworks such as PySpark
Experience with agentic learning models
Experience using MLOps frameworks and components (e.g. DVC, Horovod, Spark, ONNX, Parquet)
Familiarity with SQL and modern database technologies (e.g., MinIO, Yugabyte)
Understanding of secure software development practices and/or experience working in classified environments
Ability to build and manage scalable infrastructure using Kubernetes, Docker, and related tools

Relevant certifications

SciTec offers a highly competitive salary and benefits package, including:

Employee Stock Ownership Plan (ESOP)
3% Fully Vested Company 401K Contribution (no employee contribution required)
100% company paid HSA Medical insurance, with a choice of 2 buy-up options
80% company paid Dental insurance
100% company paid Vision insurance
100% company paid Life insurance
100% company paid Long-term Disability insurance
Short-term Disability insurance
Annual Profit-Sharing Plan
Discretionary Performance Bonus
Paid Parental Leave
Generous Paid Time Off, including Holiday, Vacation, and Sick Pay
Flexible Work Hours

The pay range for this position is $116,000- $168,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation.

SciTec is proud to be an Equal Opportunity employer. VET/Disabled.

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