Senior AI/ML Engineer

Reposted 20 Hours Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Artificial Intelligence • Software
The Role
Responsible for designing, training, and deploying machine learning models, leading teams, conducting experiments, and documenting processes for AI solutions.
Summary Generated by Built In

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

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)

Skills Required

  • 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)
  • Experience with cloud platforms (AWS, Azure, or GCP)

TransPerfect Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about TransPerfect and has not been reviewed or approved by TransPerfect.

  • Leave & Time Off Breadth Leave offerings can feel workable in certain roles, with PTO and occasional floating-holiday style time off described as available. Flexible scheduling and remote arrangements (notably in interpreting/contact-center work) add practical day-to-day benefit value for some.
  • Healthcare Strength Core health coverage is presented as available, commonly including medical, dental, and vision options alongside life and disability coverage. Plan choice (including FSA/HSA-style options) suggests baseline protection benefits exist even if overall sentiment is mixed.

TransPerfect Insights

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The Company
HQ: New York, New York
11,565 Employees
Year Founded: 1992

What We Do

The world's best businesses know that potential customers can be anywhere. TransPerfect helps our clients to be everywhere. With global headquarters in New York and offices in 140+ cities across six continents, TransPerfect is the world's largest provider of language services and related technologies. The TransPerfect family of companies enables organizations to speak the language of global business through: - Translation and Language Services - Website and Software Localization - Globalization Management Technology - Multicultural Marketing - Legal Support and E-Discovery - E-Learning Platform Internationalization - Multimedia and Studio Solutions - Interpretation and Call Center Support

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