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AI Engineer

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Onsite

AI Engineer

Tudip Technologies

AI Engineer

Skills

Google Cloud PlatformDeep LearningDockerPythonData ScienceJavaMicroservicesNumPypandasMachine LearningAIAWSKubernetesNLP / Natural Language ProcessingAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

21 September 2026

What they need


Job Summary

We are looking for a talented AI Engineer to design, develop, and deploy scalable artificial intelligence solutions. The ideal candidate will work on building intelligent systems using techniques from Machine Learning, Deep Learning, and Natural Language Processing to solve complex business problems and create innovative products.

Key Responsibilities

  • Design, develop, and implement AI models and algorithms.
  • Build and deploy machine learning pipelines and scalable AI systems.
  • Work with large datasets to train, validate, and optimize models.
  • Integrate AI capabilities into applications, products, and platforms.
  • Collaborate with product managers, data scientists, and software engineers to deliver AI-driven solutions.
  • Deploy and monitor AI models on cloud platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure.
  • Optimize model performance, accuracy, and scalability.
  • Ensure AI solutions follow ethical AI and data security standards.

Required Skills

  • Strong programming skills in Python or Java.
  • Experience with AI frameworks.
  • Understanding of machine learning algorithms and neural networks.
  • Experience with data processing libraries like Pandas, NumPy, and Scikit-learn.
  • Knowledge of APIs, microservices, and model deployment.
  • Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes.
  • Experience working with databases and large-scale data systems.
  • Minimum 2+ years experience in AI.

Preferred Qualifications

  • Bachelor s or Master s degree in Computer Science, AI, Data Science, or related field.
  • Experience building production-grade AI applications.
  • Knowledge of cloud-based AI services and MLOps practices.
  • Experience with computer vision, NLP, or generative AI models.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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