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.