AI Engineer

We are looking for a passionate AI Engineer to join our team and play a key role in developing, deploying, and optimizing AI-powered solutions that drive business innovation.

Key Responsibilities

• Design, develop, and implement AI and machine learning models for various business applications.
• Work on natural language processing (NLP), large language models (LLMs), predictive analytics, computer vision, and chatbot solutions.
• Build and maintain AI-powered chatbots for customer engagement and internal automation.
• Perform web scraping and data collection from diverse sources for model training and business insights.
• Collaborate with cross-functional teams to integrate AI models into existing platforms and solutions.
• Preprocess and analyze large datasets to extract meaningful insights and patterns.
• Optimize model performance and ensure scalability, accuracy, and reliability.
• Research and evaluate new AI technologies, tools, and frameworks to enhance system capabilities.
• Develop APIs and automation scripts for AI model deployment.
• Maintain proper documentation for model development, testing, and deployment processes.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven experience as an AI Engineer, Machine Learning Engineer, or Data Scientist.
• Strong programming skills in Python and experience with TensorFlow, PyTorch, scikit-learn, or similar frameworks.
• Experience with data preprocessing, feature engineering, model evaluation, and web scraping techniques.
• Familiarity with NLP, LLMs, deep learning, reinforcement learning, and chatbot development.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) preferred.
• Excellent problem-solving and analytical thinking abilities.
• Strong communication skills and ability to work collaboratively in a fast-paced environment.

What We Offer

• Opportunity to work on cutting-edge AI projects across multiple industries.
• Collaborative and growth-oriented environment.
• Competitive compensation and performance incentives.
• Flexible working hours and remote work options.