AI / ML Engineer
Posted Updated
Description
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.
Skills
- AI
- API
- AWS
- Azure
- CI/CD
- Cloud
- Computer Vision
- Containerization
- Data Engineering
- Data Science
- Deep Learning
- Docker
- Feature Engineering
- Fine Tuning
- GCP
- Generative AI
- Hugging Face
- Kubernetes
- LLM
- Machine Learning
- Microservices
- MLOps
- Model Deployment
- NLP
- Predictive Modeling
- Python
- PyTorch
- scikit-learn
- TensorFlow
