Job Description :
- Minimum 5 - 8 years of experience in Data Science and Machine Learning .
- In-depth knowledge of machine learning, Deep learning in Computer Vision (CV), and generative AI techniques .
- Proficiency in programming languages such as Python and frameworks like TensorFlow or PyTorch .
- Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models .
- Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
- Expertise in data engineering, including data curation, cleaning, and preprocessing .
- Knowledge of trusted AI practices, like fairness, transparency, and accountability in AI models and systems.
- Strong collaboration with engineering teams to ensure seamless integration and deployment of AI models.
- Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
- Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
- Understanding of data privacy, security, and ethical considerations in AI applications.
- Track record of driving innovation and staying updated with the lates
Mandatory Skills :
Generative AI techniques, NLP techniques, BERT, GPT, or Transformer models
Azure Open AI GPT models, Hugging Face Transformers, Prompt Engineering
Python, Knowledge on frameworks like TensorFlow or PyTorch, LangChain, R
Deploying AI solutions in Azure, AWS, or GCP.
Deep learning in Computer Vision (CV), Large Language Model (LLM)
Good to Have Skills :
Knowledge on DevOps and MLOps practices
Implement CI / CD pipelines
Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.