Machine Learning Engineer

Dashlabs; Washington (District of Columbia); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Full benefits package

Job summary

DashLabs is seeking a skilled Machine Learning Engineer to develop, implement, and deploy cutting-edge ML models for AI-driven projects in the domain of economic statecraft. The role supports collaboration with AI researchers and data scientists across real-world government and NGO applications.

We welcome applicants for full-time or part-time engagement, with a strong emphasis on data preprocessing, model evaluation, and scalable deployment.

Qualifications

• Bachelor's or Master's in Computer Science, Machine Learning, or related field with focus on ML
• 5+ years of experience in ML model development and deployment
• Proficiency in Python or Java and ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Strong understanding of ML algorithms, modeling, and optimization
• Experience with data preprocessing and visualization for model development
• Excellent written and verbal communication; proactive collaboration in multidisciplinary teams
• Passion for ML with real-world AI applications in statecraft

Responsibilities

• Collaborate with AI researchers and data scientists to integrate ML into AI-driven solutions
• Preprocess and clean data for ML tasks ensuring data quality
• Design and develop ML models for prediction, classification, and anomaly detection
• Evaluate, test, and optimize ML models for performance and accuracy
• Deploy ML models in production with scalable, efficient pipelines
• Stay updated with ML advances and apply them to improve projects
• Collaborate with cross-functional teams to integrate models into solutions

Skills

Machine learning

Problem solving

Communication

Data preprocessing

Education

Bachelor's or Master's in CS/ML

Tools

Python

Java

TensorFlow

PyTorch

scikit-learn

Job description

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.

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