CTNITRO Experimental AI Engineer

The selected candidate

• Leads the design development and deployment of advanced generative AI models including large language models (LLMs) driving innovation and solving complex business challenges
• Oversees the end-to-end data science lifecycle from data acquisition and preprocessing to model validation and optimization ensuring best practices and high-quality outcomes
• Works on developing and deploying machine learning algorithms ensuring models are optimized for performance and scalability
• Mentors and guides junior data scientists fostering a collaborative environment and promoting knowledge sharing of cutting-edge techniques and tools
• Partners with cross-functional teams to integrate AI-driven insights into products and services translating sophisticated models into practical scalable solutions that drive measurable impact

Your key responsibilities include

• Implementing AI solutions that integrate seamlessly with existing business systems to enhance functionality and user interaction.
• Reviewing complex data sets to establish data quality and highlighting where data cleansing is required to remediate the data
• Designing and implementing data models to manage data within the organization
• Migrating data from one system to another using multiple sources identifying andimplementing storage requirements
• Analyzing the latest trends such as cloud computing and distributed processing and their uses in business building industry knowledge
• Peer reviewing models and working with relevant business areas to seek their input and ensuring they are fit for the designed purpose
• Automating important infrastructure for the data science team.
• Staying current with AI trends and suggesting improvements to existing systems and workflows.

Skills and attributes for success

• 8 years experience in machine learning large scale data acquisition transformation and cleaning both structured and unstructured data
• Experience with generative LLM fine-tuning and prompt engineering.
• Proficiency with data wrangling visualization and modeling in Python
• Experience in ML/NLP algorithms including supervised and unsupervised learning.
• Good knowledge with cloud ecosystems Azure is preferred
• Experience in machine learning frameworks and tools (e.g. sci-kit-learn Keras TensorFlow MXNet PyTorch MLlib)
• Strong programming skills in Python
• Experience with tools in the distributed computing GPU cloud platforms and Big Data domains (e.g. GCP AWS MS Azure Hadoop Spark Databricks) is a plus
• Experience with SQL Document DBs and Vector DBs
• Batch Processing - Capability to design an efficient way of processing high volumes ofdata where a group of transactions is collected over a period Data
• Visualization and storytelling - Capability to assimilate and present data as well as more advanced visualization techniques. Capability to engage and explain data creating a narrative around data visualization
• Knowledge of containerization platforms like Docker is a plus.
• Experience with Git and modern software development workflow.
• Non-Technical Skills:
  
  • Strong team and business communication skills can walk through and approach with technical clients or explain tricky concepts to non-technical people
  • Must thrive in a fast-paced environment and be able to work independently.
  • Excellent in communication skills
• Education
  
  • Bachelor/Master/PG in Artificial Intelligence Analytics Data Science Computer Science Engineering Information Technology Social Sciences or related fields preferred

What we look for

• Strong analytical skills and problem-solving ability
• A self-starter independent-thinker curious and creative person with ambition and passion
• Excellent inter-personal communication collaboration and presentation skills
• Customer focused
• Excellent time management skills
• Positive and constructive minded
• Takes responsibility for continuous self-learning
• Takes the lead and makes decisions in critical times and tough circumstances
• Attention to detail
• High levels of integrity and honesty