Technical Content Writer
Techelix
Description
Job Brief:
This is a full-time on-site role for a Machine Learning Engineer at Techelix. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms, analyzing large data sets, and creating predictive models. You will collaborate with cross-functional teams to enhance our existing products and develop new machine learning solutions.
Techelix Overview:
Founded in 2012 by veteran technology entrepreneurs from the USA and Europe, Techelix is one of the fastest-growing technology companies in the region. We specialize in developing innovative products and solutions that simplify and improve the lives of people worldwide.
At Techelix, we strive to create a technology-driven organization and an entrepreneurial ecosystem recognized globally for excellence, innovation, and impact.
Benefits
- Competitive Salary Package aligned with skills and experience.
- Annual Bonus plus Performance-Based Incentives rewarding excellence.
- Comprehensive Health Allowance to support medical and wellness needs.
- Access to Online Learning with Udemy and other training resources.
- Continuous Education Program to upgrade your professional skills.
- Weekly Team Lunches to relax and connect with colleagues.
- Bi-Monthly Socials & Activities including cricket matches, paddle sessions, and team picnics.
- Collaborative & Inclusive Culture that values innovation and teamwork.
- Opportunities for Fast Career Growth with pathways to leadership roles.
- **Mentorship & Knowledge-Sharing Sessions
** to help you grow with the team.
- Interest-Free Loans to support personal and professional goals.
- Recognition & Rewards Programs celebrating individual and team achievements.
Qualification and Experience
- Strong background in Tensor Flow, Keyword Spotting
- Exporting models to mobile using quantization
- Experience with NLP, Neural Networks, and Algorithms
- Proficiency in programming languages such as Python
- Knowledge of data visualization tools and techniques
- Experience working with large data sets and handling real-time data
- Excellent problem-solving and analytical skills
- Strong communication and collaboration abilities
- Bachelors in Computer Science, Data Science, or a related field