
Machine Learning Engineer (AI) - (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Machine Learning Engineer (AI). in the . United States. .. 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.. . Accountabilities:. 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.. 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.. Preferred Qualifications:. 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.. . Company Location: United States.