At a glanceSummarised by Seekless from the posting.
Must have12
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
Proficiency in TensorFlow
Proficiency in PyTorch
Proficiency in scikit-learn
Strong understanding of data preprocessing, model evaluation, and hyperparameter tuning
Experience with SQL
Experience with Pandas
Experience with NumPy
Experience working with structured and unstructured data
Nice to have1
Familiarity with MLOps tools (Docker, Kubernetes, MLflow, Airflow)
Skills
Python
TensorFlow
PyTorch
scikit-learn
XGBoost
LightGBM
NumPy
Pandas
SQL
Jupyter Notebooks
AWS
Azure
GCP
Git
GitHub
GitLab
Jenkins
GitHub Actions
GitLab CI
TensorBoard
Weights & Biases
Neptune.ai
ONNX
TensorRT
CoreML
TFLite
Docker
Kubernetes
MLflow
Airflow
TransPerfect Is More Than Just a Job…
Our greatest asset is our people, and nothing is more important to us than ensuring that everyone knows that. Each of our 100+ offices has its own individual identity, and each also has its own unique rewards.
Contract: 12 months (with potential extension based on performance)
Client: A leading multinational telecommunications company – Motorola
About the role
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.
Responsibilities
Responsibilities
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Develop and fine-tune machine learning algorithms.
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Conduct experiments, evaluate model performance, and suggest improvements.
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Lead and collaborate with engineers to implement production-ready AI solutions.
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Document processes and results for scalability.
Requirements
Requirements
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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 TensorFlow, PyTorch, and scikit-learn.
•
Strong understanding of data preprocessing, model evaluation, and hyperparameter tuning.
•
Experience with SQL, Pandas, NumPy, 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.
Tech Stack
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Programming & ML Frameworks
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Python
•
TensorFlow
•
PyTorch
•
scikit-learn
•
XGBoost / LightGBM (common in practical ML pipelines)
•
Data & Analytics
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NumPy, Pandas
•
SQL
•
Jupyter Notebooks
•
Data preprocessing & feature engineering tools
•
Cloud / Infrastructure
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AWS (S3, SageMaker, Lambda, ECS)
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Azure (ML Studio, Blob Storage)
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GCP (AI Platform, BigQuery)
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(Any of the three—whichever the client prefers)
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Version Control & CI/CD
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Git / GitHub / GitLab
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Jenkins, GitHub Actions, or GitLab CI
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Development & Experimentation Tools
•
TensorBoard
•
Weights & Biases (W&B) or Neptune.ai
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ONNX (optional but common for deployment/optimization)
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Other Useful Skills (common for telecom/edge AI)
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Experience with edge AI model optimization (TensorRT, CoreML, TFLite)