The selected candidate:

• Collaborates with senior data scientists to build, fine-tune, and evaluate generative AI models, including large language models (LLMs), for various applications.
• Implements data pipelines and workflows to gather, clean, and prepare data from diverse sources for analysis and model training.
• Works on developing and deploying machine learning algorithms, ensuring models are optimized for performance and scalability
• Assists in translating complex technical findings into actionable insights and recommendations for non-technical stakeholders, contributing to impactful business decisions
   

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 and
• implementing 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

• 5+ 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.
• Good knowledge with cloud ecosystems, Azure is preferred   
• Strong programming skills in Python and developing APIs
• Knowledge of containerization platforms like Docker is a must.
• Experience with Git and modern software development workflow.
• 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 in ML/NLP algorithms, including supervised and unsupervised learning.
• Experience with SQL, Document DBs and Vector DBs
• Batch Processing - Capability to design an efficient way of processing high volumes of
• data 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.

Education

• Bachelor 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 
   

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.