AI Engineer

Company Description

Join Oteemo and become part of a transformation powerhouse where innovation meets impact. We're not just another consulting firm—we're architects of digital evolution, blending cutting-edge technical expertise with human-centered design principles to create solutions that resonate. Our work spans Infrastructure, Software Development, Dev Sec Ops , Cybersecurity, Experience and Design, Organizational Change Management, and AI-enabled solutions, but our approach is what truly sets us apart.

We measure success through tangible business outcomes, not billable hours. We foster a culture of continuous learning where your ideas can thrive and technical excellence is celebrated. Our collaborative global team works across borders and time zones, tackling complex challenges for both Commercial Enterprise and Federal Defense clients with equal passion and precision. At Oteemo, you'll have the opportunity to work with emerging technologies and develop your skills alongside industry experts who are reshaping digital landscapes.

If you're seeking a place where your technical prowess can drive meaningful change and where innovation isn't just encouraged—it's expected—Oteemo is your next career destination.

We are seeking an experienced AI Engineer to join our team and lead the development of cutting-edge artificial intelligence solutions. In this role, you will architect end-to-end AI systems, from proof of concept through production deployment, ensuring they meet performance targets while adhering to ethical AI practices. You will work with cross-functional teams to translate business requirements into scalable AI solutions that deliver real impact.

• Design and implement AI architectures including model selection, data pipelines, training infrastructure, and inference systems.
• Develop production-ready AI models achieving
• Build and optimize machine learning models using deep learning, NLP, computer vision, and reinforcement learning techniques.
• Implement model optimization techniques including quantization, pruning, and knowledge distillation.

• Deploy AI solutions across diverse platforms including REST APIs, gRPC, serverless, and edge devices.
• Establish CI/CD pipelines, automated testing, and model versioning systems.
• Implement A/B testing frameworks and monitoring dashboards for continuous improvement.
• Ensure 99.9% uptime and reliability for production AI systems.

• Design and maintain MLOps infrastructure using tools like MLflow, Kubeflow, or similar platforms.
• Implement model registries, feature stores, and experiment tracking systems.
• Optimize resource utilization and manage distributed training environments.
• Configure monitoring, alerting, and rollback procedures for production models.

• Implement bias detection and fairness metrics across all AI systems.
• Develop explainability tools and model documentation.
• Ensure compliance with data privacy regulations and governance frameworks.
• Conduct robustness testing and establish audit trails.

• Partner with data scientists, software engineers, and product teams to deliver integrated solutions.
• Mentor junior engineers and drive AI best practices across the organization.
• Communicate technical concepts to non-technical stakeholders.
• Lead technical discussions and architectural reviews.

• 5+ years of hands-on experience building and deploying AI/ML systems in production.
• Proven track record of delivering AI solutions with measurable business impact.
• Experience with large-scale data processing and distributed computing.
• Strong understanding of machine learning algorithms, neural networks, and deep learning architectures.
• Experience with model optimization and performance tuning.
• Knowledge of software engineering best practices and design patterns.
• Excellent problem-solving and analytical skills.
• Strong communication and presentation abilities.
• Proficiency with AI/ML or data science tools (Python, Pandas, or similar).
• Experience using LLMs for workflow automation, data analysis, or summarization.
• Clear…