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Artificial Intelligence Engineer

KPG99 INC

2 - 5 years

Bengaluru

Posted: 17/12/2025

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Job Description

Job Title: AI Engineer

Location: Bangalore (Hybrid 3 Days Onsite per Week)

Contract Type: Long-Term Contract

Start Date: Mid-February


Job Description

We are proactively seeking experienced AI Engineers to join our client, for a long-term engagement. Ideal candidates will have hands-on experience in building, deploying, and optimizing AI/ML models, with strong proficiency in end-to-end machine learning pipelines and modern AI frameworks. The role follows a hybrid model with 3 days onsite in Bangalore.

Key Responsibilities

  • Design, develop, and deploy machine learning and AI models for production use cases.
  • Build and optimize end-to-end ML pipelines, including data preprocessing, model training, validation, and deployment.
  • Work with cross-functional teams to integrate AI solutions into existing products and systems.
  • Conduct research on modern AI/ML techniques and propose improvements.
  • Develop scalable solutions using cloud platforms (AWS, Azure, GCP).
  • Monitor, maintain, and improve model performance in production environments.

Required Skills & Experience

  • 38+ years of experience in AI/ML engineering.
  • Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn .
  • Hands-on experience deploying models to production environments.
  • Experience with data engineering fundamentals (ETL, feature engineering).
  • Strong understanding of NLP, Computer Vision, LLMs, or deep learning architectures.
  • Familiarity with MLOps tools like MLflow, Kubeflow, Airflow , or similar.

Preferred Qualifications

  • Experience with LLM fine-tuning, vector databases, and RAG architectures.
  • Experience with cloud-native tools (SageMaker, Vertex AI, Azure ML).
  • Knowledge of containerization tools (Docker/Kubernetes).
  • Strong problem-solving and analytical skills.

Additional Notes

  • Location: Bangalore
  • Hybrid: 3 days onsite per week
  • Start: Mid-February
  • Engagement: Long-term contract

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