Key Responsibilities

• Design, develop, and deploy AI/ML models for real-world applications.
• Work on data preprocessing, feature engineering, and model training.
• Build and integrate AI-powered APIs and services into applications.
• Collaborate with product and engineering teams to translate business needs into AI solutions.
• Optimize models for performance, scalability, and accuracy.
• Conduct experiments and evaluate model performance using appropriate metrics.
• Debug and troubleshoot model and data pipeline issues.
• Stay updated with the latest advancements in AI, ML, and deep learning.
• Document processes, models, and workflows for future reference.
• Participate in code reviews and maintain high-quality coding standards.

Required Skills and Qualifications

• 1–2 years of experience in AI/ML development or related field.
• Strong understanding of machine learning algorithms and concepts.
• Proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn.
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Knowledge of data structures, algorithms, and software engineering principles.
• Experience with REST APIs and model deployment.
• Familiarity with data handling, cleaning, and visualization techniques.
• Strong problem-solving and analytical skills.
• Good communication and teamwork abilities.

Preferred Skills

• Experience with NLP, computer vision, or generative AI projects.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Knowledge of MLOps tools and pipelines (Docker, CI/CD, MLflow).
• Experience working with large datasets and distributed systems.
• Understanding of LLMs, prompt engineering, or fine-tuning models.