AI/ML Engineer - Data Modeling

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Job Overview

Key Responsibilities

• Design, develop, and implement AI/ML models for predictive analytics, NLP, computer vision, and recommendation systems.
• Preprocess, clean, and analyze structured/unstructured datasets to ensure high-quality inputs for AI models.
• Optimize model performance and accuracy using advanced algorithms, hyperparameter tuning, and MLOps practices.
• Deploy and integrate AI models into production-ready applications using APIs, microservices, or cloud platforms.
• Collaborate with data engineers, product managers, and software developers to translate business needs into technical solutions.
• Stay updated with the latest research, frameworks, and tools in Artificial Intelligence and Machine Learning.
• Debug, monitor, and maintain AI pipelines, ensuring scalability, reliability, and performance.
• Document processes, models, and workflows for knowledge sharing and Skills & Qualifications :
• Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field.
• 2 - 5 years of hands-on experience in AI/ML development.
• Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas).
• Experience with NLP, Computer Vision, Deep Learning, or Generative AI projects.
• Knowledge of MLOps, model deployment, and cloud platforms (AWS, Azure, GCP).
• Familiarity with data pipelines, APIs, and microservices for AI integration.
• Strong problem-solving, analytical, and communication to Have (Optional) :
• Exposure to LLMs (Large Language Models), transformers, and prompt engineering.
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Understanding of big data tools (Hadoop, Spark) for AI at scale.