AI Engineer

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.