Senior Machine Learning / AI Engineer

Senior Machine Learning / AI Engineer

US

Security & IT – IT /

Full-time /

Remote

Apply for this job

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning / AI Engineer in the United States.

This role is ideal for a highly skilled AI/ML professional specializing in computer vision and advanced machine learning techniques. You will develop and deploy state-of-the-art models to solve complex real-world problems, working with large-scale datasets and cutting-edge AI technologies. The position offers the opportunity to collaborate closely with cross-functional teams, lead technical initiatives, and mentor other engineers in a fast-paced, innovative environment. Your work will directly contribute to creating impactful AI-powered solutions, optimizing model performance, and advancing the capabilities of production-ready systems. This role combines research, development, and deployment, providing visibility into the full lifecycle of AI/ML applications.

• Accountabilities

• Design, develop, and implement computer vision algorithms for applications such as object detection, image segmentation, and facial recognition.

• Build, train, and optimize machine learning models, including deep learning architectures, using frameworks such as TensorFlow, PyTorch, and OpenCV.

• Collect, preprocess, and manage large datasets to ensure scalability, quality, and reproducibility.

• Deploy AI/ML models into production, ensuring high performance, scalability, and reliability across platforms.

• Lead functional testing, proof-of-concept experiments, and real-world use case evaluations of ML solutions.

• Collaborate with software developers, data scientists, and product teams to integrate AI capabilities into products.

• Mentor junior engineers and foster a team culture of accountability, growth, and innovation.

• Document methodologies, code, and results for internal and external stakeholders.

• Troubleshoot and optimize ML-related platform components, including GPU utilization and model performance.

• Requirements

• Master’s degree or higher in Computer Science, Data Science, Electrical Engineering, or a related field.

• 5–8 years of experience in machine learning, AI, and computer vision with a proven record of developing real-world solutions.

• Proficiency in Python and strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Keras).

• Experience with computer vision libraries such as OpenCV and Scikit-learn.

• Knowledge of deep learning architectures (CNNs, RNNs, GANs) and algorithm optimization.

• Familiarity with cloud platforms (AWS, Google Cloud, Azure) for AI/ML model deployment.

• Strong problem-solving, analytical, and creative thinking skills.

• Excellent communication and teamwork skills to collaborate with cross-functional teams.

• Ability to manage multiple tasks and priorities effectively.

• Preferred: experience with edge computing, mobile or embedded deployment, IoT integration, vision-language models, or agentic AI.

• Benefits

• Fully remote work with flexible schedule options.

• Opportunity to make a significant impact in an innovative, fast-growing AI industry.

• Collaborative, forward-thinking, and purpose-driven team environment.

• Competitive compensation package with robust benefits.

• Exposure to cutting-edge AI and computer vision technologies.

• Mentorship and professional development opportunities.

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 three 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!

#LI-CL1

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply for this job