Gen AI(AIML Ops Engineer)

**Job Description:** As a Data Scientist specializing in Generative AI, your role involves designing, developing, and implementing cutting-edge generative AI models and algorithms. You will collaborate with cross-functional teams to define project requirements and objectives, ensuring they align with the overall business goals. Your responsibilities will include conducting research to stay updated with the latest advancements in generative AI techniques, optimizing existing models for improved performance, and developing and maintaining AI pipelines. Additionally, you will contribute to the establishment of best practices for generative AI development within the organization, provide technical mentorship to junior team members, and ensure the application of trusted AI practices for fairness, transparency, and accountability in AI models and systems. **Key Responsibilities:** - Design, develop, and implement generative AI models using techniques such as GPT, VAE, and GANs - Collaborate with cross-functional teams to define AI project requirements and objectives - Stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques - Optimize existing generative AI models for improved performance, scalability, and efficiency - Develop and maintain AI pipelines, including data preprocessing, model training, and evaluation - Create clear and concise documentation to communicate complex AI concepts to stakeholders - Contribute to establishing best practices and standards for generative AI development - Provide technical mentorship and guidance to junior team members - Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models - Drive DevOps and MLOps practices for AI development - Utilize tools like Docker, Kubernetes, and Git for managing AI pipelines - Implement monitoring and logging tools to ensure AI model performance and reliability - Collaborate with software engineering and operations teams for efficient AI model integration and deployment - Familiarity with DevOps and MLOps practices for continuous integration, deployment, and monitoring of AI models **Key Qualifications & Experiences:** - Minimum 5 years of experience in Data Science and Machine Learning - In-depth knowledge of machine learning, deep learning, and generative AI techniques - Proficiency in Python, R, and frameworks like TensorFlow or PyTorch - Strong understanding of NLP techniques and frameworks such as BERT, GPT - Experience with cloud platforms like Azure or AWS - Expertise in data engineering, data curation, and preprocessing - Track record of driving innovation and staying updated with the latest AI research - Degree in Computer Science, Artificial Intelligence, or related field - Solid experience developing generative AI models using GPT, VAE, and GANs - Proficient in Python with experience in TensorFlow, PyTorch, or Keras - Strong knowledge of data structures, algorithms, and software engineering principles - Familiarity with cloud-based platforms and services like AWS, GCP, or Azure - Experience with NLP techniques and tools such as SpaCy, NLTK, or Hugging Face,