Machine Learning Engineer

Summary

Join AccelOne as a Machine Learning Engineer and contribute to impactful international projects. We are seeking a highly skilled individual with expertise in Python and Typescript development, machine learning tools, and AI frameworks. You will design, develop, and deploy AI/ML solutions, optimize algorithms, and build scalable models. Collaboration with cross-functional teams is crucial. Success will be measured by model efficiency, accuracy, and performance. This role requires experience with large datasets, MLOps, and API development. AccelOne offers remote work, professional growth opportunities, and a supportive work environment.

Requirements

• Proven work experience as a Machine Learning Engineer, Backend Developer, or similar role
• Experience with conversational agents
• Strong expertise in modern Python development, AI/ML libraries (TensorFlow, PyTorch, Scikit-learn), and deep learning frameworks
• Experience with cloud-based AI services (AWS SageMaker, Google Vertex AI, Azure ML)
• Understanding of MLOps, model deployment, and AI lifecycle management
• Hands-on experience with APIs, data pipelines, and automation tools
• Proficiency in building and maintaining backend services using FastAPI, Flask, or Django
• Proficiency in building and maintaining backend services using Nodejs and TypeScript., Flask, or Django
• Experience in designing and implementing RESTful APIs
• Ability to design and implement AI-based proof-of-concepts and production-ready solutions
• Strong problem-solving skills and ability to optimize ML models for performance
• Excellent communication skills to collaborate with cross-functional teams
• BA/BS degree in Computer Science, AI/ML, Engineering, or a related field

Responsibilities

• Design, develop, and deploy machine learning models for real-world applications
• Collaborate with data scientists, engineers, and product teams to create AI-driven solutions
• Optimize ML models for efficiency, scalability, and performance
• Implement MLOps practices to automate model training, validation, and deployment
• Worked with large datasets and performed data preprocessing, feature engineering, and analysis
• Develop and maintain APIs and pipelines for integrating AI solutions into products
• Monitor model performance, retrain models as needed, and improve predictive accuracy
• Build and maintain scalable backend services using Python frameworks like FastAPI or Flask and Nodejs / TypeScript
• Design and implement RESTful APIs to expose AI/ML functionalities to applications
• Optimize backend performance and ensure efficient communication between AI models and applications
• Stay current with the latest advancements in AI/ML and contribute to research and development

Benefits

• Remote Work: Enjoy flexibility and a competitive compensation package
• Professional Growth: Access to career development opportunities, training, and certifications
• Inclusive Environment: We foster a people-first culture where everyone can thrive professionally and personally