Responsibilities :
- Develop and implement AI/ML solutions with a focus on Generative AI models and applications.
- Collaborate with crossfunctional teams to understand business requirements and deliver AIpowered functionalities.
- Finetune and deploy models such as GPT BERT or other transformerbased architectures for specific use cases.
- Write clean efficient Python code for data processioning model training and deployment.
- Experiment with model optimization techniques including parameter tuning and algorithmic innovations.
- Build APIs and integrate AI/ML solutions into scalable applications.
- Stay updated with advancements in Generative AI and contribute innovative ideas to projects.
- Maintain and improve existing AI pipelines to ensure scalability efficiency and robustness.
- Document technical processes tools and findings for internal knowledge sharing.
Skills:
- At least 3 years of professional experience in AI/ML development focusing on Pythonbased solutions.
- Proficiency in Python and relevant libraries/frameworks (e.g. PyTorch TensorFlow Hugging Face OpenAI API).
- AI/ML Expertise: Practical experience with transformer models large language models (LLMs) and NLP.
- Data Skills: Strong skills in data processioning feature engineering and handling structured and unstructured datasets.
- Deployment: Knowledge of containerization (Docker) cloud platforms (AWS Azure or GCP) and ML model deployment pipelines.
api,large language models (llms),feature engineering,cloud platforms (aws, azure, gcp),natural language processing (nlp),transformer models,ml model deployment,skills,tensorflow,data processing,pytorch,hugging face,focus,containerization (docker),python,openai api