AI Engineer

Job Title: AI Engineer

Required Experience :-2 to 5 years

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 modeling 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.

• This role is based in an AI lab environment and involves hands-on, fast-paced, and high-intensity work. The ideal candidate should be proactive, adaptable, and comfortable working in a dynamic environment.

Qualifications:

• Minimum of 2 years of hands-on experience in developing and deploying AI solutions, with a proven track record of success.
• Masters degree in Computer Science, Artificial Intelligence, or a related field (or equivalent

experience).

• Proficiency in Machine Learning, NLP, Generative AI, and LLMs, including their architecture, algorithms, and training methodologies.
• Understanding of LLMOps principles, Prompt Engineering, In-Context Training, LangChain, 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 afast 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 2 years of experience on AI/ML/DL projects, with specialization or certification in Artificial Intelligence being a plus.
• Good knowledge of Azure AI/Cognitive Services tools.