AI/ML Engineer

Company Description

Responsibilities:

• Design & Develop: Design, develop, train, and deploy machine learning models and AI solutions, including custom chatbots and knowledge-based systems.
• Integrate Solutions: Integrate state-of-the-art AI/ML models (NLP, Computer Vision, Generative AI, etc.) into client products and internal platforms.
• Build & Optimize: Build, manage, and continuously improve knowledge bases that power intelligent applications.
• GenAI Implementation: Develop, fine-tune, and evaluate generative AI models and functionalities for various applications.
• Full-Stack Contribution: Contribute to the development of full-stack applications by implementing and embedding core AI/ML features.
• Test & Validate: Develop testing protocols, perform rigorous debugging, and ensure the performance, scalability, and reliability of AI/ML models and applications.
• Research & Innovate: Stay current with the latest advancements in AI/ML research, tools, and techniques, evaluating their potential and applying them to solve business challenges.
• Collaborate: Work closely with consultants, software developers, and clients to understand requirements, define solutions, and deliver impactful results.
  

• Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field.
• Experience: 0-3 years of professional hands-on experience in building and deploying AI/ML models and solutions.
• ML Fundamentals: Strong theoretical understanding and practical experience with core machine learning algorithms (supervised, unsupervised learning), deep learning concepts, and potentially NLP or computer vision.
• Programming: Proficiency in Python is essential, along with strong experience using relevant data science and ML libraries (e.g., Pandas, NumPy, Scikit-learn).
• ML Frameworks: Hands-on experience with major ML/DL frameworks such as TensorFlow, PyTorch, or Keras.
• Problem Solving: Excellent analytical and problem-solving skills with meticulous attention to detail.
• Communication: Strong verbal and written communication skills, with the ability to explain complex concepts clearly.