AI ML Developers

You should have a minimum of 5 - 8 years of experience in Data Science and Machine Learning. Your expertise should include in-depth knowledge of machine learning, Deep learning in Computer Vision (CV), and generative AI techniques. It is essential to be proficient in programming languages such as Python and frameworks like TensorFlow or PyTorch. A strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models is required. Experience with cloud platforms like Azure, AWS, or GCP and deploying AI solutions in a cloud environment is necessary. You should have 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, is essential for this role. Collaborating with engineering teams to ensure seamless integration and deployment of AI models is crucial. Excellent problem-solving and analytical skills will be beneficial for translating business requirements into technical solutions. Strong communication and interpersonal skills are required to collaborate effectively with stakeholders at various levels. Understanding data privacy, security, and ethical considerations in AI applications is important. You should have a track record of driving innovation and staying updated with the latest trends in the field. Skills Required: - AI/ML, Machine Learning - TensorFlow, PyTorch - NLP techniques - BERT, GPT, Transformer models - Cloud Platforms: Azure, AWS, GCP - Data Engineering: data curation, cleaning, preprocessing - Trusted AI practices - Collaboration with engineering teams - Problem-solving and analytical skills - Communication and interpersonal skills - Data privacy, security, ethical considerations - Innovation and staying updated with the latest trends Mandatory Skills: - Generative AI techniques - NLP techniques - BERT, GPT, Transformer models - Azure Open AI GPT models, Hugging Face Transformers, Prompt Engineering - Python - TensorFlow, PyTorch - Deploying AI solutions in Azure, AWS, GCP - Deep learning in Computer Vision (CV), Large Language Model (LLM) Good To Have Skills: - DevOps and MLOps practices - Implementing CI/CD pipelines - Utilizing tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.,