AI / ML Engineer

We are seeking a skilled AI/ML Engineer with expertise in Generative AI to join our team. The ideal candidate will have hands-on experience in designing, developing, and deploying AI/ML models, with a strong focus on Generative AI solutions. You will work closely with cross-functional teams to build AI-driven applications that enhance business operations and user experiences.
Responsibilities:
Design, develop, and implement AI/ML models, focusing on Generative AI (LLMs, diffusion models, GANs, VAEs, etc. ).
Train and fine-tune machine learning models using deep learning frameworks like TensorFlow, PyTorch, and Hugging Face.
Develop and optimise NLP, Computer Vision, and Predictive Modelling applications.
Work with large-scale datasets to preprocess, clean, and annotate data for AI/ML models.
Deploy AI models into production environments using cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
Collaborate with software engineers, data scientists, and product teams to integrate AI solutions into business applications.
Research and stay updated with emerging trends in AI/ML and Generative AI to improve model efficiency and performance.
Ensure compliance with ethical AI standards, data privacy, and security best practices
Requirements:
Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
3-6 years of experience in AI/ML development, with a strong understanding of Generative AI models.
Proficiency in Python and experience with ML libraries like TensorFlow, PyTorch, Scikit-learn, and Hugging Face.
Hands-on experience with LLMs (GPT, BERT, T5 Llama, etc. ) and fine-tuning pre-trained models.
Knowledge of data engineering, including handling large datasets, feature engineering, and data augmentation.
Experience with MLOps, model deployment, monitoring, and CI/CD pipelines for AI models.
Strong understanding of cloud computing, APIs, and microservices architecture.
Problem-solving mindset with the ability to work in a fast-paced and collaborative environment.

Experience
3-5 yrs