We are seeking highly motivated individuals to join our rapidly growing team. As a Machine Learning Engineer, you will be at the forefront of developing AI solutions that solve real-world problems for customers.
Roles & Responsibilities :
- Collaborate with the cross-functional team to understand business requirements and build end-to-end machine learning systems that are maintainable, reusable & scalable
- Work along with Machine Learning Engineers to build and improve the tools to train, monitor, and evaluate model performance
- Identify problems in data, define data quality metrics, and improve it using programming or data labeling techniques
- Perform modeling tasks in support of prototypes and proofs-of-concept
Qualifications :
- 3+ years of industry experience in designing and training deep learning models
- Strong understanding of Machine Learning & Deep Learning concepts, especially in Computer Vision
- Good working exposure with Generative AI, Large Language Model (LLM), and RAG (Retrieval Augmented Generation) concepts
- Strong programming skills in the Python language
- Flexible to work in a dynamic environment with different frameworks and requirements
- Good Experience with one or more deep learning libraries/frameworks (e.g. TensorFlow, PyTorch, Keras, Hugging
Why join us?
You'll have the opportunity to collaborate on multiple global projects, essentially gaining experience across multiple technologies simultaneously
More reasons to join us :
- 4.4 Glassdoor Rating
- Exposure to cutting-edge technologies and international clients spanning various industries
- Opportunities to engage in diverse projects and technologies, with cross-domain training and support for career or domain transitions, including certifications reimbursement
- Profitable and bootstrapped company
- Flexible working hours with a 5-day workweek
- Over 30 paid leaves annually
- Merit-based compensation with above-average annual increments
- Sponsored team luncheons, festive celebrations, and semi-annual retreats