AI/ML Engineer

UST is a mission-driven company that transforms lives through technology. They are seeking a highly skilled AI/ML Engineer to design, develop, and deploy scalable machine learning models and AI-powered solutions for global clients across various industries.

Responsibilities:

• Design, build, and deploy machine learning models and AI solutions in production environments
• Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions
• Develop and optimize data pipelines for training, validation, and inference
• Apply best practices in model evaluation, monitoring, and lifecycle management (MLOps)
• Work with large-scale structured and unstructured datasets
• Integrate AI/ML models into enterprise applications and cloud platforms
• Continuously research and implement state-of-the-art AI techniques and tools
• Ensure scalability, performance, and reliability of deployed systems

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
• 3+ years of experience in AI/ML engineering or related roles
• Strong programming skills in Python (preferred), Java, or Scala
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience with data processing tools such as Pandas, Spark, or Hadoop
• Familiarity with REST APIs and microservices architecture
• Experience deploying models in cloud environments (AWS, Azure, or GCP)
• Solid understanding of algorithms, data structures, and software engineering principles
• Experience with deep learning, NLP, or computer vision use cases
• Knowledge of MLOps tools such as MLflow, Kubeflow, or SageMaker
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Familiarity with CI/CD pipelines and DevOps practices
• Exposure to generative AI, LLMs, or prompt engineering is a plus