Ai/ml Engineer
1 week ago
**Introduction**
Kickstart your career with NTTS’s G.L.O.W Graduate Program, the ultimate launchpad for your tech career
**G**- Grow in accelerated development path
**L**- Lead yourself with purpose & commitment
**O**- Own your career journey
**W**- Way Forward
Our comprehensive one-year program is tailored to empower talented and driven graduates like you with valuable hands-on experience, exposure to industry experts, and a diverse range of projects that will sharpen your skills and broaden your understanding to the ICT industry.
**AI / ML Engineer**
**Responsibilities**
- Assist in designing, training, and deploying machine learning models for use cases such as predictive analytics, recommendation systems, and intelligent automation.
- Work with structured and unstructured data from APIs, databases, and third-party systems to build robust data pipelines.
- Participate in code reviews, testing, and documentation to ensure high-quality deliverables.
- Monitor model performance in production and assist in continuous improvement efforts.
**Requirements**:
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field.
- Proficiency in Python and familiarity with ML libraries such as scikit-learn, TensorFlow, or PyTorch.
- Understanding of software development principles and experience with version control systems (e.g., Git).
- Experience with SQL and NoSQL databases; knowledge of ETL processes is a plus.
- Exposure to cloud platforms (AWS, Azure, or GCP) and containerization tools (e.g., Docker) is advantageous.
- Strong problem-solving and analytical thinking.
- Effective communication and collaboration in cross-functional teams.
- Willingness to learn and adapt in a fast-paced, client-focused environment.
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