Machine Learning Engineer (MLE)

SASSO CONSULTING is seeking a highly skilled Machine Learning Engineer (MLE) to design, build, and deploy scalable machine learning models that drive business value. The role involves collaborating with data scientists and engineers to operationalize models and deliver impactful AI-driven solutions.

Responsibilities:

• Design, develop, and deploy machine learning models into production environments
• Build scalable data pipelines to support model training and inference
• Optimize model performance, accuracy, and efficiency
• Collaborate with data scientists to operationalize models (MLOps)
• Monitor, maintain, and improve deployed models over time
• Implement best practices for versioning, testing, and deployment of ML systems
• Work with large datasets to extract meaningful insights and features
• Ensure models are production-ready, reliable, and secure

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
• 3+ years experience in machine learning or related roles
• Strong programming skills in Python
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Solid understanding of machine learning algorithms and statistical modeling
• Experience with data pipelines and ETL processes
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Experience with MLOps tools (Docker, Kubernetes, CI/CD pipelines)
• Strong SQL and data manipulation skills
• Experience with big data technologies (Spark, Hadoop)
• Knowledge of Deep Learning, NLP, or Computer Vision
• Experience with model monitoring and drift detection
• Exposure to LLMs / Generative AI applications
• Understanding of software engineering best practices