Job Brief:
This is a full-time on-site role for a Machine Learning Engineer at Techelix in Karachi. 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 Plans based on performance and excellence
- Comprehensive Health Allowance for medical and wellness needs
- Access to Online Learning platforms (Udemy and more)
- Continuous Education Program to enhance professional growth
- Weekly Team Lunches to encourage collaboration and relaxation
- Bi-Monthly Social & Sports Activities including team outings and picnics
- Collaborative, inclusive culture that values innovation and teamwork
- Clear Career Growth paths with leadership opportunities
- Mentorship & Knowledge-Sharing Sessions
- Interest-Free Loans for personal and professional needs
- Recognition & Rewards Programs celebrating 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