AI Model Developer

5 days ago

Thoothukudi, Tamil Nadu, India beBeeMachineLearning Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Artificial Intelligence Professional Role

We are seeking a highly skilled Artificial Intelligence Professional to contribute to the development of impactful AI solutions.

About this Position:

This is a unique opportunity to design and develop custom machine learning models for business-specific problems while working with an international team.

Key Responsibilities:

  • Design and develop custom machine learning models for NLP, computer vision, predictive modeling, recommendation systems, and other applications.
  • Build and maintain scalable AI/ML pipelines for data ingestion, preprocessing, training, testing, deployment, and monitoring.
  • Collaborate with cross-functional teams to integrate AI solutions into real-world products.
  • Ensure high-performance, scalable, and production-ready deployment using MLOps practices.
  • Optimize models with advanced techniques such as hyperparameter tuning, distributed training, and GPU optimization.
  • Contribute to research initiatives and adopt the latest innovations in Large Language Models, generative AI, and automation frameworks.
  • Document technical processes, architectures, and pipeline workflows for reproducibility and knowledge sharing.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • 5+ years of experience in developing AI/ML solutions.
  • Strong programming expertise in Python and frameworks like PyTorch, TensorFlow, Scikit-learn, Hugging Face.
  • Proven track record in building and managing ML pipelines (Airflow, Kubeflow, MLflow, Prefect, etc.).
  • Proficiency in data preprocessing, feature engineering, and model evaluation techniques.
  • Hands-on experience with cloud AI/ML platforms (AWS Sagemaker, Azure ML, or GCP Vertex AI).
  • Familiarity with containerization and orchestration (Docker, Kubernetes).

Preferred Skills:

  • Experience in fine-tuning Large Language Models.
  • Exposure to real-time/streaming data processing (Kafka, Spark Streaming).
  • Knowledge of microservices and API development for model integration.
  • Experience with generative AI and reinforcement learning techniques.

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