We are looking for a Senior Data Scientist (AI/ML) with 9+ years of experience in a Data science role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. The candidate should have experience working in technical support environment, working with dataset from CRM, H/W and S/W bugs data, machine logs. They should also have good team worker with excellent interpersonal, written, verbal and presentation skills. Experience building and optimizing data pipelines, architectures and data sets is also required.
Requirements
- Leads as well as develops scalable AI solutions using relevant AI (ML/DL/Gen AI) techniques
- Architects large scale AI solutions that seamlessly merge AI model and techniques in SDLC
- Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms
- Develops, implements, and optimizes machine learning models and algorithms
- Leverage or build analytics tools that utilize the data pipeline to provide significant insights into customer case data, bug data, operational and other key business performance metrics
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Work with data and analytics specialists to strive for greater functionality in our data systems
- Identify trends, patterns from dataset to scope opportunities for automation
- Deploys machine learning models into production environments, considering scalability, performance, and security considerations
- Integrate models with existing software systems and infrastructure, ensuring smooth operation and interoperability
- Monitors the performance of deployed models, collects relevant metrics, and analyzes data to identify areas for improvement
- Works collaboratively with the engineering manager and team lead to set design and implementation standards, ensuring continuous improvement and alignment with project goals
- Has experience in providing technical leadership, mentorship, and guidance to junior team members
- Address and resolve challenges proactively
- Develops and delivers strategic presentations and reports to senior stakeholders, demonstrating a deep understanding of technical and business aspects
- Applies and leverages data mining, data modeling, natural language processing, and machine learning to extract and analyze information from datasets
Benefits
- Health & Wellbeing
- Personal & Professional Development
- Unconditional Inclusion