AI/ML Engineer

About The Role

AI/ML Engineer

Key Responsibilities

• Develop, train, and optimize machine learning and deep learning models.
• Work with Transformer architectures, LLMs, embeddings, and vector-based systems.
• Build and enhance RAG pipelines, chatbots, or LLM agent workflows.
• Perform model fine-tuning, prompt engineering, and evaluation.
• Collaborate with cross-functional teams to deliver AI-driven automation and solutions.
• Analyze datasets using Python, NumPy, Pandas, and design efficient data pipelines.
• Research, experiment, and implement innovative AI/ML techniques to improve system performance.
• Contribute to model deployment, monitoring, and scaling (MLOps desirable).
  

Requirements

• Minimum 1 year of hands-on experience in AI/ML engineering.
• Strong understanding of Python, NumPy, Pandas.
• Experience with TensorFlow or PyTorch.
• Practical knowledge of Transformers, LLMs, embeddings.
• Experience building RAG pipelines or LLM agent-based systems.
• Understanding of fine-tuning, prompt engineering, and model evaluation.
• Strong analytical and problem-solving mindset.
• Passion for working on real-world AI applications.
  

Good to Have

• Familiarity with LangChain, OpenAI, HuggingFace ecosystems.
• Experience with MLOps or deploying AI models to production.
• Knowledge of cloud services: AWS, GCP, or Azure.
  

Why Join Weaddo?

• Work on cutting-edge GenAI and automation projects.
• Fast-growing, innovation-driven culture.
• Opportunity to contribute to impactful AI solutions from day one.