Machine Learning Engineer

Machine Learning Engineer

Company Overview

Accrete AI is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology

.At the core of our offerings are AI agents—autonomous systems that analyze multimodal data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and empower government entities to enhance security, intelligence, and operational efficiency.

We are looking for a talented Machine Learning Engineer to join our Engineering team and contribute to the evolution of our AI products.

Responsibilities

• Design, develop, and optimize machine learning models and pipelines for deployment in production environment.
• Build scalable and efficient ML infrastructure to support data ingestion, model training, evaluation, and deployment.
• Collaborate with data scientists, engineers, and product teams to integrate ML solutions into Accrete’s platform.
• Implement best practices for model performance monitoring, versioning, and retraining.
• Work with cloud-based platforms and distributed computing frameworks to improve system efficiency.
• Optimize feature engineering, data preprocessing, and training workflows to improve model accuracy and efficiency.
• Ensure adherence to MLOps principles, including automation, CI/CD for ML, and reproducibility.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or a related field.
• 3+ years of experience in designing and deploying machine learning models in production.
• Strong programming skills in Python and proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Experience with cloud platforms (AWS preferred) and containerization technologies (Docker, Kubernetes.
• Proficiency in distributed computing frameworks like Spark, Ray, or Dask.
• Experience with MLOps tools and techniques, including CI/CD for ML, model versioning, and monitoring.
• Familiarity with large-scale data processing, data engineering principles, and feature stores.
• Strong problem-solving skills, a proactive mindset, and the ability to work in a fast-paced, collaborative environment.

Preferred Qualification.

• Experience with reinforcement learning, NLP, or deep learning applications.
• Knowledge of graph-based ML, generative AI, or other advanced ML techniques.
• Exposure to edge AI and model optimization techniques (e.g., quantization, pruning)
• Contributions to open-source ML projects or publications in AI conferences.

Why Join Us:

Innovative Environment: Be part of a team that's at the forefront of technological innovation, utilizing GenAI and ML to create groundbreaking solutions. Collaborative Culture: Work in a collaborative environment where your ideas are valued, and you have the opportunity to make a real impact. We provide a flexible work environment. Professional Growth: We're committed to your professional growth and development, offering opportunities for learning and advancement. Competitive Compensation: Enjoy a competitive compensation and benefits package, including medical insurance.

We offer a competitive salary, benefits package, and opportunities for growth and advancement within the company. If you are an innovative and results-driven leader, we encourage you to apply for this exciting opportunity.

• Accrete is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.