AI Solutions Architect

6 hours ago

Madurai, Tamil Nadu, India beBeeMachineLearning Full time US$ 1,50,000 - US$ 1,75,000

We are seeking a highly skilled A.I. Solutions Architect to join our global AI team.

This is an exciting opportunity to contribute to impactful, large-scale AI solutions while working with an international team.

  • Responsibilities:
    • Design and develop custom machine learning and deep learning models for business-specific problems (NLP, computer vision, predictive modeling, recommendation systems, etc.).
    • Build and maintain scalable AI/ML pipelines for data ingestion, preprocessing, training, testing, deployment, and monitoring.
    • Collaborate with cross-functional teams across India and Europe to integrate AI solutions into real-world products.
    • Evaluate high-performance, scalable, and production-ready deployment using MLOps practices.
    • Optimize models with advanced techniques (hyperparameter tuning, distributed training, GPU optimization).
    • Contribute to research initiatives and adopt the latest innovations in LLMs, generative AI, and automation frameworks.
    • Document technical processes, architectures, and pipeline workflows for reproducibility and knowledge sharing.
  • Requirements:
    • Bachelor's/Master's in Computer Science, Artificial Intelligence, Data Science, or related field.
    • 5+ years of hands-on 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 (LLMs).
  • 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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