Job Description

We are looking for a skilled AI/ML Engineer to design, develop, and implement machine learning models and AI-driven solutions. The ideal candidate will have a strong background in data science, programming, and deep learning frameworks, along with experience in deploying AI models into production environments.

Key Responsibilities:

• Develop and deploy machine learning models for various applications, including NLP, computer vision, and predictive analytics.
• Preprocess and analyze large datasets to extract meaningful insights.
• Build and optimize deep learning models using TensorFlow, PyTorch, or similar frameworks.
• Design and implement scalable AI solutions for real-world problems.
• Work with cross-functional teams to integrate AI models into applications and business processes.
• Optimize model performance, ensure robustness, and manage model retraining pipelines.
• Stay updated with the latest AI/ML trends, research papers, and technologies.

Required Skills & Qualifications:

• Bachelor's/Master’s degree in Computer Science, Data Science, AI, or a related field.
• Strong proficiency in Python, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, OpenCV (or similar libraries).
• Experience with cloud platforms like AWS, GCP, or Azure for deploying AI models.
• Proficiency in working with databases (SQL, NoSQL) and big data technologies.
• Knowledge of MLOps, CI/CD for AI pipelines, and containerization (Docker, Kubernetes) is a plus.
• Familiarity with NLP, Computer Vision, and Reinforcement Learning techniques.
• Strong problem-solving and analytical skills with an ability to work in a fast-paced environment.

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Preferred Qualifications:

• Experience with LLMs (Large Language Models) and Generative AI.
• Hands-on experience in AI model optimization, pruning, and quantization.
• Contributions to open-source AI/ML projects or relevant research publications.