About the Role We are seeking a passionate and skilled AI Engineer with 2 to 5 years of hands-on experience to join our team. You will be responsible for designing, developing, and deploying machine learning and AI-based solutions that drive value across our products and services. If you have a strong foundation in AI/ML techniques and a desire to build impactful systems at scale, we’d love to connect. Key Responsibilities Design, build, and deploy AI/ML models to solve business problems. Work with data scientists, engineers, and product managers to translate requirements into scalable AI solutions. Preprocess and analyze large datasets to extract meaningful insights. Optimize and fine-tune models for performance, accuracy, and scalability. Stay up to date with the latest AI/ML research and incorporate best practices into development. Collaborate in code reviews, model validation, and documentation efforts. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. 2–5 years of experience in building and deploying ML/AI models. Strong programming skills in Python (TensorFlow, PyTorch, scikit-learn, etc.). Proficiency in data handling libraries like Pandas and NumPy. Experience with NLP, Computer Vision, or Predictive Analytics is a plus. Familiarity with ML lifecycle tools such as MLflow, Airflow, or similar. Experience with cloud platforms (AWS/GCP/Azure) and model deployment practices. Understanding of software engineering best practices including version control, CI/CD, and testing. Good to have Contributions to open-source AI/ML projects or publications in the field. Experience with databases including vector databases (e.g., Qdrant, Chroma, Pinecone) and traditional databases (e.g., PostgreSQL, MongoDB) Working with RESTful APIs for backend service integrations.