Machine Learning Engineer (AI) - (Remote - US)

Jobgether

122d • $98,124 - $166,810

About The Position

As a Machine Learning Engineer, you will design, build, and deploy cutting-edge AI solutions that solve real-world business challenges. You’ll work across client projects to develop production-ready ML systems, rapid prototypes, and scalable AI pipelines while integrating them into existing software infrastructure. This role requires a mix of software engineering, data science, and strong communication skills to translate complex AI concepts into actionable business insights. You’ll collaborate with cross-functional teams, experiment with emerging AI technologies, and play a key role in shaping AI-driven solutions that have tangible impact on operations and decision-making. This position offers the flexibility of remote work while contributing to high-profile, innovative projects.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
• 5–8 years of professional experience, including 3–5 years focused on applied AI/ML.
• Proficient in Python and production-grade software development.
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, or Hugging Face.
• 2–3 years experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
• Proven experience designing, prototyping, and deploying Generative AI / LLM-based solutions.
• Strong understanding of software engineering principles, CI/CD, and version control (Git).
• Experience integrating ML models into production systems and data pipelines.
• Proficiency with SQL and familiarity with relational and NoSQL databases.
• Ability to build rapid prototypes and scale them into production-grade solutions.
• Excellent communication skills and ability to explain technical concepts to non-technical audiences.
• Must be a U.S. citizen or permanent resident and able to obtain Public Trust clearance.
• Must reside in the United States and perform work domestically.

Nice To Haves

• Experience with Generative AI, LLMs, NLP, or computer vision.
• Familiarity with agentic AI frameworks and AI-assisted development tools.
• Knowledge of data warehouse design and dimensional modeling.
• Experience with MLOps platforms and model monitoring tools.
• Agile methodology experience and working in cross-functional teams.
• Background in government or federal projects.

Responsibilities

• Design, develop, and integrate AI-driven systems and data pipelines that meet client needs.
• Build production-ready machine learning models using frameworks like TensorFlow, PyTorch, and scikit-learn.
• Architect scalable AI systems with focus on reliability, maintainability, and performance.
• Implement MLOps best practices, including model versioning, monitoring, and continuous deployment.
• Develop rapid prototypes and proof-of-concept applications to demonstrate AI capabilities.
• Collaborate with software engineering teams to embed AI solutions into production applications.
• Communicate technical AI concepts effectively to both technical and non-technical stakeholders.
• Fine-tune and train models, optimize performance, and select appropriate pre-trained AI/ML solutions.
• Experiment with emerging AI technologies and agentic tools to accelerate solution delivery.

Benefits

• Competitive salary ranging from $98,124 to $166,810 per year, depending on experience.
• 100% remote work with flexible scheduling (Eastern Time Zone support required).
• Comprehensive health, dental, and vision benefits.
• Retirement savings plans and generous vacation policies.
• Opportunities for training, professional development, and career growth.
• Inclusive work environment with employee support programs and social initiatives.
• Participation in impactful projects across multiple industries.

What This Job Offers

• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 11-50 employees