Machine Learning Engineer

Overview

Join the cutting-edge team at DashLabs, an innovative EdTech firm dedicated to providing groundbreaking solutions to government, NGO, and global end-users. We specialize in innovative approaches that encompass cross-disciplinary styles of instructional design, research and development, data-driven needs assessment, and virtual learning environments. As we continue to drive innovation in AI-driven projects with a focus on economic statecraft, we are excited to invite a skilled and motivated Machine Learning Engineer to join us on a full-time or part-time basis. As a Machine Learning Engineer, you will play a pivotal role in developing, implementing, and deploying cutting-edge machine learning models to drive the success of our AI projects.

No. of Vacancies
1
Specific Skills
Qualifications:
  • Proven experience in designing, implementing, and deploying machine learning models for real-world applications.
  • Proficiency in programming languages commonly used in machine learning, such as Python or Java, and experience with machine learning libraries and frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Solid understanding of machine learning algorithms, statistical modeling, and optimization techniques.
  • Experience with deep learning architectures and techniques is a plus, though not mandatory.
  • Strong problem-solving and analytical skills, with the ability to understand complex AI challenges and devise innovative solutions.
  • Familiarity with data preprocessing techniques and data visualization for model development and evaluation.
  • Excellent communication skills, both written and verbal, to effectively communicate technical concepts and collaborate with team members.
  • A proactive and collaborative mindset, with the ability to work effectively in a multidisciplinary team environment.
  • Passion for machine learning and a strong desire to contribute to AI projects that have real-world applications in economic statecraft.
 
Responsible For
Responsibilities:
  • Collaborate closely with AI Research Scientists, Data Scientists, and NLP Specialists to integrate machine learning capabilities into AI-driven solutions for knowledge curation and decision-making.
  • Preprocess and clean data to prepare it for machine learning tasks, ensuring data quality and compatibility with the chosen algorithms.
  • Design and develop machine learning models and algorithms to address specific challenges in economic statecraft scenarios, such as prediction, classification, and anomaly detection.
  • Conduct thorough evaluations and testing of machine learning models, optimizing their performance and accuracy.
  • Implement and deploy machine learning models in production environments, ensuring scalability and efficiency.
  • Work closely with Data Engineers to build data pipelines and ensure smooth data flow for training and inference of machine learning models.
  • Stay up-to-date with the latest advancements in machine learning research and techniques, applying them to enhance the performance and effectiveness of our AI projects.
  • Collaborate with cross-functional teams to ensure the successful integration of machine learning models into AI-driven solutions.
 
Additional Requirements
U.S. Citizenship required.
Job Nature
Full Time, Part Time
Educational Requirements

Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field with a strong focus on machine learning model development and deployment.

Experience Requirements
5
Job Location
Remote - USA, Washington D.C. Metro Area
Other Benefits
DashLabs offers a full benefits package for full time W2 employees. If you are ready to make a significant impact by leveraging your expertise in machine learning to drive the success of AI-driven projects in the domain of economic statecraft, DashLabs welcomes your application. Join our dynamic team and be part of a transformative journey at the forefront of AI innovation.
Job Level
Intermediate

How to Apply

 

Interested candidates are encouraged to provide a comprehensive cover letter and resume for consideration.

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