Posted:3 hours ago
By:Hiring Kenya
Company Details
Industry:
Telecommunications
Description:
Innovex Solutions are a Kenyan-registered technology company that commenced operations in 2017. We spend our time developing and operating niche and disruptive software applications. Our solutions are mainly targeted towards the insurance sector, but we also extend our capabilities to other sectors. We get deeply involved in the operationalization of our solutions in our clients business through offering associated services to create maximum value. We strive to provide innovative solutions to everyday process and operational challenges faced by most organizations. We are recognized as market leaders in niche automation solutions for the insurance sector and on-line auction platforms. For our customers, we eliminate need for costly upfront investment by offering packaged products, that combine both software and a hosting platform, as well adopting a pay-as-you-use model
Job Description
Responsibilities:
- Develop, fine-tune, monitor, and continuously improve deep learning models to address business challenges.
- Deploy models on GPU servers for efficient real-time processing.
- Design, implement, and monitor data and model pipelines for seamless integration into business processes.
- Leverage machine learning to enhance product efficiency and optimize business operations.
- Oversee image annotation processes, ensuring high-quality datasets for training.
- Query and analyze large datasets to uncover actionable insights and support data-driven decisions.
- Build and implement algorithms for forecasting and predictive analytics.
- Collaborate with cross-functional teams to gather requirements and deliver impactful solutions.
- Stay informed on the latest advancements in AI, machine learning, and deep learning frameworks.
Requirements:
- Bachelor’s or Master’s in Statistics, Mathematics, Computer Science, or related field.
- Proficiency in Python, and SQL; Cloud Computing knowledge is a plus.
- Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Strong skills in training and deploying models on cloud platforms (AWS, GCP, Azure) and GPU servers.
- Experience with computer vision models (e.g., YOLO, Detectron) and data annotation tools (e.g., CVAT, Roboflow).
- Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly).
- Knowledge of Python web frameworks and model monitoring systems e.g. Cloud Watch
- Added advantage: Experience in insurance claims and assessment practices.
Application Deadline 21st January 2025.
Education: Degree, Diploma
Employment Type: Full Time
