AI ML Developers

As a Data Scientist with a minimum of 5 - 8 years of experience in Data Science and Machine Learning, your expertise should encompass a deep understanding of machine learning, Deep learning in Computer Vision (CV), and generative AI techniques. You must be well-versed in programming languages like Python and frameworks such as TensorFlow or PyTorch. Additionally, a solid grasp of NLP techniques and frameworks like BERT, GPT, or Transformer models is essential. Your role will involve working with cloud platforms like Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Proficiency in data engineering, including data curation, cleaning, and preprocessing, is crucial. It is imperative to adhere to trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Collaborating with engineering teams for seamless integration and deployment of AI models is a key aspect of this role. Your problem-solving and analytical skills will play a vital role in translating business requirements into technical solutions. Effective communication and interpersonal skills are necessary for successful collaboration with stakeholders at various levels. Understanding data privacy, security, and ethical considerations in AI applications is important. A proven track record of driving innovation and staying updated with the latest trends in the field is expected. Key Responsibilities: - Demonstrate expertise in AI/ML, Machine Learning - Utilize TensorFlow, PyTorch for model development - Apply NLP techniques and work with BERT, GPT, Transformer models - Deploy AI solutions on cloud platforms like Azure, AWS, GCP - Engage in data engineering tasks including data curation, cleaning, and preprocessing - Adhere to trusted AI practices ensuring fairness, transparency, and accountability - Collaborate with engineering teams for integration and deployment of AI models - Apply problem-solving and analytical skills to translate business requirements into technical solutions - Communicate effectively and collaborate with stakeholders at various levels - Stay updated with the latest trends in the field of Data Science and Machine Learning Qualifications Required: - Strong expertise in Generative AI techniques - Proficiency in NLP techniques including BERT, GPT, Transformer models - Experience with Azure Open AI GPT models, Hugging Face Transformers, Prompt Engineering - Proficient in Python programming language - Hands-on experience with TensorFlow, PyTorch - Ability to deploy AI solutions in Azure, AWS, GCP - Knowledge of Deep learning in Computer Vision (CV) and Large Language Model (LLM) Good To Have Skills: - Familiarity with DevOps and MLOps practices - Experience in implementing CI/CD pipelines - Proficiency in utilizing tools like Docker, Kubernetes, and Git for building and managing AI pipelines,