Machine Learning Engineer

DashLabs LLC; Washington (District of Columbia); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

full benefits package for full time W2

Job summary

DashLabs LLC, a cutting-edge EdTech firm focused on AI-driven solutions for government, NGO, and global end-users, seeks a Machine Learning Engineer for full-time or part-time work. You will design, implement, and deploy ML models to support knowledge curation, decision-making, and predictive analytics.

Qualified candidates have 5 years in ML, proficient Python, and experience with TensorFlow, PyTorch, or scikit-learn; strong data preprocessing and visualization; and excellent communication to

Qualifications

• Proven experience in designing, implementing, and deploying ML models for real-world applications.
• Proficiency in Python or Java and ML libraries such as TensorFlow, PyTorch, scikit-learn.
• Strong understanding of ML algorithms, statistical modeling, and optimization techniques.
• Experience with deep learning architectures is a plus.
• Strong problem-solving and analytical skills.
• Familiarity with data preprocessing and data visualization.
• Excellent written and verbal communication to collaborate with the team.
• Proactive and collaborative mindset in a multidisciplinary environment.
• Passion for ML and AI-driven projects in economic statecraft.

Responsibilities

• Collaborate with AI Research Scientists, Data Scientists, and NLP Specialists to integrate ML capabilities.
• Preprocess and clean data for ML tasks ensuring quality.
• Design and develop ML models for prediction, classification, and anomaly detection in economic statecraft scenarios.
• Evaluate and optimize model performance.
• Deploy ML models in production ensuring scalability and efficiency.
• Work with Data Engineers to build data pipelines for training and inference.
• Stay updated with ML research to enhance projects.
• Collaborate with cross-functional teams to integrate ML solutions.

Skills

Python

Communication

Collaborative

Data preprocessing

Education

Bachelor's or Master's in CS or ML

Tools

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.

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.

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