Generative AI Engineer

About the Role

We are seeking a
mid-level AI Engineer
to design, develop, and deploy scalable artificial intelligence and machine learning solutions. This role will work cross-functionally with data scientists, software engineers, and business stakeholders to turn data into actionable insights and intelligent products.

Key Responsibilities

• Design, build, and deploy machine learning and AI models in production environments
• Develop and maintain scalable data pipelines and model architectures
• Collaborate with cross-functional teams to identify AI-driven opportunities and solutions
• Optimize model performance, accuracy, and scalability
• Implement best practices for model monitoring, validation, and lifecycle management
• Work with large datasets to clean, preprocess, and engineer features
• Integrate AI/ML solutions into existing applications and systems
• Stay current with emerging AI trends, tools, and frameworks

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field
• 3–6 years of experience in AI/ML engineering or related roles
• Strong programming skills in Python (required) and familiarity with Java or C++ (preferred)
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Solid understanding of machine learning algorithms, statistics, and data structures
• Experience with APIs, microservices, and cloud platforms (AWS, Azure, or GCP)
• Familiarity with data engineering concepts and tools (SQL, Spark, etc.)
• Strong problem-solving and analytical skills

Preferred Qualifications

• Experience with deep learning, NLP, or computer vision
• Exposure to MLOps practices and tools (e.g., Docker, Kubernetes, CI/CD pipelines)
• Experience deploying models in production at scale
• Knowledge of LLMs, generative AI, or prompt engineering
• Master’s degree in a related field