Senior AI​/ML Engineer

Contract

12 months (with potential extension based on performance)

A leading multinational telecommunications company – Motorola

We are seeking a Senior AI/ML Engineer to join our client’s AI team and contribute to the development of cutting‑edge intelligent systems. In this role, you’ll be responsible for designing, training, and deploying machine learning models that power innovative features across devices and services. This is an exciting opportunity to work with a global technology leader in the telecommunications sector, applying your expertise to real‑world applications that impact millions of users.

• Develop and fine‑tune machine learning algorithms.
• Conduct experiments, evaluate model performance, and suggest improvements.
• Lead and collaborate with engineers to implement production‑ready AI solutions.
• Document processes and results for scalability.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.
• 5-7 years of experience in developing and deploying machine learning models.
• At least 3 years of experience leading a team.
• Proficiency in Python and popular ML frameworks such as Tensor Flow, PyTorch, and scikit‑learn.
• Strong understanding of data preprocessing, model evaluation, and hyperparameter tuning.
• Experience with SQL, Pandas, Num Py, and working with structured and unstructured data.
• Familiarity with MLOps tools (Docker, Kubernetes, MLflow, Airflow) is a plus.
• Experience with cloud platforms (AWS, Azure, or GCP) preferred.

• Programming & ML Frameworks
  • Python
  • Tensor Flow
  • Py Torch
  • scikit‑learn
  • XGBoost / LightGBM (common in practical ML pipelines)
• Data & Analytics
  • Num Py
  • Pandas
  • SQL
  • Jupyter Notebooks
  • Data preprocessing & feature engineering tools
• Cloud / Infrastructure
  • AWS (S3, Sage Maker, Lambda, ECS)
  • Azure (ML Studio, Blob Storage)
  • GCP (AI Platform, Big Query)
  • (Any of the three—whichever the client prefers)
• Version Control & CI/CD
  • Git / Git Hub / Git Lab
  • Jenkins, Git Hub Actions, or Git Lab CI
• Development & Experimentation Tools
  • Tensor Board
  • Weights & Biases (W&B) or Neptune.ai
  • ONNX (optional but common for deployment/optimization)
• Other Useful Skills (common for telecom/edge AI)
  • Experience with edge AI model optimization (TensorRT, CoreML, TFLite)