Job Responsibilities:
Design, develop, and deploy AI models and intelligent systems for real-world applications (e.g., NLP, computer vision, predictive analytics).
Work with product teams to integrate AI solutions into web and mobile platforms.
Train and fine-tune machine learning models using structured and unstructured data.
Develop data pipelines and automate model evaluation, training, and deployment processes.
Stay current with state-of-the-art AI/ML techniques and tools, applying them effectively to projects.
Collaborate with software engineers, data scientists, and stakeholders to define technical requirements and deliver solutions.
Requirements:
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
2–5 years of hands-on experience in AI/ML model development and deployment.
Proficient in Python and popular ML libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, etc.
Experience with LLMs, generative AI, or conversational AI is a strong plus.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools like Docker.
Understanding of RESTful APIs, data preprocessing, and MLOps tools.
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
