ml engineer for AI products

SoftConstruct’s AI Center of Excellence develops AI products and machine learning solutions, taking them from ideation and design through deployment and integration into production systems.

• Design, develop, and deploy machine learning models and pipelines to solve complex business problems;
• Apply machine learning, optimization, and software engineering expertise to create scalable AI solutions;
• Collaborate with technical and business stakeholders to integrate ML models into production systems;
• Guide and mentor junior engineers;
• Advocate for engineering best practices;
• Contribute to the recruitment of technical talent;
• Build and optimize data pipelines, ETL processes, and model-serving frameworks;
• Drive innovation through problem-solving and identifying opportunities to leverage machine learning;
• Monitor, debug, and enhance model performance and reliability in production environments.

• Bachelor’s degree in computer science, engineering, statistics, mathematics, or a related field;
• 5+ Years of hands-on experience building and deploying machine learning models in production;
• Strong software engineering skills with Python, version control systems, and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn;
• Proficiency in building and optimizing scalable ETL pipelines and working with job-scheduling systems;
• Extensive experience with cloud platforms such as AWS, GCP, or Azure and large-scale data processing;
• Expertise in deploying ML models using Docker, Kubernetes, and CI/CD pipelines;
• Strong understanding of MLOps principles and tools for model deployment and lifecycle management;
• Excellent communication skills and the ability to explain technical concepts to non-technical stakeholders;
• Nice to have: experience in causal inference and designing experiments.

• No conditions specified