Job Description
Key Responsibilities. Architect, develop, and deploy advanced AI solutions, encompassing Machine Learning, Generative AI, NLP and LLMs. Remain abreast of the latest AI advancements, actively researching and integrating emerging trends and technologies such as LLMOps, Large Model Deployments, LLM Security, Vector Databases, etc Streamline data modelling processes to automate tasks, enhance data preparation, and facilitate data exploration to optimize business outcomes. Collaborate closely with cross-functional teams, including business units, accounts teams, researchers, and engineers, to translate business requirements into actionable AI solutions.
Exhibit expertise in responsible AI practices, ensuring fairness, transparency, and interpretability in all models. Identify and mitigate potential risks related to AI and LLM development and deployment, emphasizing data trust and security. Contribute to the professional development of the AI team by mentoring engineers, fostering knowledge sharing, and promoting a culture of continuous learning. Good knowledge of Azure AI/cognitive services in tools.
Qualifications. Master's degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience). Minimum of 2+ years of hands-on experience in developing and deploying AI solutions, with a proven track record of success. Proficiency in Machine Learning, NLP, Generative AI, and LLMs, including their architectures, algorithms, and training methodologies.
Understanding of Limos principles, Prompt Engineering, In-Context Training, Lang chain, and Reinforcement Learning. Familiarity with best practices for Large Model deployment, monitoring, management, and scalability. Experience with Azure Cloud services. Strong communication, collaboration, and problem-solving abilities.
Commitment to ethical AI practices and security standards. Proficiency in deep learning frameworks and languages such as Azure ML platform, Python, PyTorch, etc Hands-on experience with ML frameworks, libraries, and third-party ML models. Expertise in building solutions using AI/ML/DL open-source tools and libraries. Strong analytical and problem-solving skills.
Ability to write optimized and clear code, and address complex technical challenges effectively. Self-motivated and fast learner, with a proactive approach to learning new technologies. Proficiency in data analysis and troubleshooting skills. Experience in building AI/ML/DL solutions for NLP/text applications, with familiarity in reinforcement learning being advantageous.
Minimum of 3 years of experience on AI/ML/DL projects, with specialization or certification in Artificial Intelligence being a plus.
