Opportunity to work with a highly technical organisationEnvironment fostering professional and personal developmentAbout Our Client
The client is a leader into the Ad Tech space with multiple accolades and recognitions for its working culture and quality of people. It is a highly technology driven organisation where even the leaders stay very close to the technology and get their hands dirty at times.
Job Description
- Overall accountability for execution and successful release of data science features and Solutions
- Sets the right balance between research development / delivery modes, balancing needs of the business requirements short term whilst also building towards longer term capabilities
- Inspire and lead a talented team of Data scientists, mentor the team leads into more well-rounded managers and leaders
- Provide thought leadership on how machine learning models and automation can improve the efficiency of programmatic media buying and targeting
- Establish and lead MLOps practices for the development, deployment, and monitoring of machine learning models
The Successful Applicant
- 12+ years of experience in data science, machine learning, and analytics, or related roles, with at least 5+ years in a leadership position
- Proven expertise in designing and implementing Machine Learning, Optimization, NLP, Deep Learning, & Gen AI techniques
- Strong understanding of MLOps tools and practices, including model versioning, monitoring, and continuous deployment
- Experience with big data technologies (, Hadoop, Spark) and cloud platforms (, AWS, GCP, Azure) to build scalable AI systems and pipelines
- Experience with at-least one programming language - Python, R
- Continuous improvement, iterate fast, fail-fast mindset who is relentlessly looking for opportunities to bring in incremental and step changes across people, processes and technology.
- Proven ability to lead & develop teams, manage cross-functional relationships & communicate effectively with stakeholders.
- Experience managing & strategizing multiple projects, prioritizing effectively, and meeting deadlines in a fast-paced environment.