Senior AI/ML Engineer

TransPerfect Connect; Indiana (PA); On-site; USD 110,000 - 150,000; Full time

Job summary

TransPerfect Connect is seeking a Senior AI/ML Engineer to contribute to Motorola’s AI team, designing and deploying cutting-edge machine learning models. This role offers a chance to work with advanced technology and make impactful contributions in the telecommunications sector.

The ideal candidate will have a strong background in machine learning, team leadership, and experience with cloud platforms. Additional skills in Python, TensorFlow, and MLOps tools will be essential for success in this growing field.

Qualifications

• 5-7 years of experience in developing and deploying machine learning models.
• At least 3 years of experience leading a team.
• Familiarity with MLOps tools is a plus.

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.

Skills

Machine learning model development

Team leadership

Python

TensorFlow

PyTorch

SQL

Data preprocessing

Cloud platforms

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, AI

Tools

TensorFlow

PyTorch

SQL

Docker

Kubernetes

MLflow

Airflow

AWS

Azure

GCP

Job description

Contract

12 months (with potential extension based on performance)

Client

A leading multinational telecommunications company – Motorola

Position Overview

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

• 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)