Jr. ML Developer

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Jr. ML Developer

Employees Full Time Herndon, VA, US

About the Role:

As a Junior Machine Learning Developer, you will play a critical role in supporting the design, development, and deployment of machine learning models that drive data-driven decision-making across the organization. You will collaborate closely with Sr. Data Engineer and Director of Technology to implement scalable algorithms and contribute to the continuous improvement of existing ML systems. Your work will directly impact the efficiency and accuracy of predictive analytics, enabling the company to leverage data insights for strategic advantage. This role offers a unique opportunity to grow your expertise in machine learning within a dynamic and innovative environment. You will be involved in the entire ML lifecycle, from data preprocessing and feature engineering to model evaluation and deployment.

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Basic understanding of machine learning concepts and algorithms such as regression, classification, clustering, and neural networks.
• Proficiency in programming languages commonly used in ML, such as Python or R.
• Familiarity with ML libraries and frameworks like scikit-learn, TensorFlow, or PyTorch.
• Experience with data manipulation and analysis using tools such as pandas and NumPy.

Preferred Qualifications:

• Internship or project experience involving real-world machine learning applications.
• Knowledge of cloud platforms and services related to ML deployment, such as AWS, Azure, or Google Cloud.
• Understanding of software development best practices including version control (e.g., Git) and testing.
• Experience with SQL and working with large datasets.
• Exposure to deep learning techniques and natural language processing.

Responsibilities:

• Assist in the development and implementation of machine learning models and algorithms under the guidance of senior team members.
• Perform data cleaning, preprocessing, and feature extraction to prepare datasets for modeling.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Conduct experiments to evaluate model performance and optimize parameters for improved accuracy and efficiency.
• Support the deployment and monitoring of ML models in production environments to ensure reliability and scalability.

Skills:

The required skills enable you to effectively preprocess data, implement machine learning algorithms, and evaluate model performance, which are essential for daily tasks such as building and refining predictive models. Programming proficiency allows you to write clean, efficient code and collaborate with engineering teams to integrate ML solutions. Familiarity with ML frameworks accelerates development and experimentation, while data manipulation skills ensure high-quality input for models. Preferred skills like cloud platform knowledge and software development practices enhance your ability to deploy and maintain models in production environments. Together, these skills empower you to contribute meaningfully to the team’s objectives and grow as a machine learning professional.

Patriot Group International Inc. is a global mission support service provider with expeditionary capabilities, providing services to select clients within the intelligence, defense, and private sectors. PGI is a veteran-owned and operated company with experience performing in over 50 countries, including austere and high-threat environments.

DISCLAIMER:

Patriot Group International Inc. is proud to be an Affimate Action/Equal Opportunity Employer - Veteran, Disability. PGI provides equal employment opportunity for all persons in all facets of employment. PGI maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks.

If you are a qualified individual with a disability or a disabled veteran and need a reasonable accommodation to use or access our online system, please contact us on our home page.