Machine Learning Engineer (AI) - (Remote - US)
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.
- 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.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
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Jobgether has the ambition to disrupt the recruitment industry as we know it by simplifying it and making it more accurate 🎯 Jobgether platform connects candidates and companies based on: - Skills -... Values - Ambition - Personality The candidat...
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