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Contract: 12 months (with potential extension based on performance)

Client: 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 cutting-edge 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

- 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.

Requirements

- 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

- Programming & ML Frameworks
- Python
- TensorFlow
- PyTorch
- scikit-learn
- XGBoost / LightGBM (common in practical ML pipelines)
- Data & Analytics
- NumPy, Pandas
- SQL
- Jupyter Notebooks
- Data preprocessing & feature engineering tools
- Cloud / Infrastructure
- AWS (S3, SageMaker, Lambda, ECS)
- Azure (ML Studio, Blob Storage)
- GCP (AI Platform, BigQuery)
- (Any of the three—whichever the client prefers)
- Version Control & CI/CD
- Git / GitHub / GitLab
- Jenkins, GitHub Actions, or GitLab CI

- Development & Experimentation Tools
- TensorBoard
- 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)

📌 Senior AI/ML Engineer (Bengaluru)
🏢 TransPerfect
📍 Bengaluru