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AI / ML Engineer

AI / ML Engineer

TransPerfectmysore, karnataka, in
5 hours ago
Job description

AI / ML Engineer (Remote – Bangalore, India)

Location : Bangalore, India (Remote)

Contract : 5 months (with potential 12-month extension based on performance)

Client : A leading multinational telecommunications company (name disclosed at interview)

About the Role

We’re looking for an experienced AI / ML Engineer to join our advanced analytics and product innovation team. In this role, you’ll design, develop, and deploy large-scale machine learning systems for speech, vision, and predictive analytics. You’ll collaborate with cross-functional teams across data science, cloud engineering, and product management to drive AI adoption in next-generation telecommunications solutions.

Key Responsibilities

  • Architect and deploy large-scale ML models for speech, vision, and predictive analytics.
  • Lead research into emerging AI frameworks and tools.
  • Mentor junior and mid-level engineers, guiding best practices.
  • Collaborate with product managers and system engineers to integrate ML solutions into products.
  • Optimize models for scalability, accuracy, and efficiency.

Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related discipline.
  • 3–6 years of experience in machine learning model design, training, and deployment.
  • Strong programming skills in Python (R a plus).
  • Proficiency in ML / DL frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras.
  • Experience with data processing frameworks such as Spark or PySpark.
  • Strong knowledge of SQL and working with relational databases.
  • Hands-on experience with Docker, Kubernetes, and CI / CD pipelines for model deployment.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and cloud-native ML tools.
  • Understanding of API development and integration for deploying AI services.
  • Excellent analytical, problem-solving, and collaboration skills.

    • Preferred Qualifications

  • Experience with Generative AI or LLM-based systems.
  • Knowledge of big data tools and distributed computing environments.
  • Familiarity with observability, model monitoring, and performance tuning.
  • Exposure to telecommunications or large-scale enterprise AI systems.
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