AI Model Engineer

6 days ago

Mount Abu, Rajasthan, India beBeeArtificialintelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About this Opportunity:

We are seeking an experienced AI Model Engineer to join our global team and work on exciting projects that leverage machine learning and deep learning models.

As an AI Model Engineer, you will be responsible for designing and developing custom machine learning and deep learning models for business-specific problems. This role involves building and maintaining scalable AI/ML pipelines for data ingestion, preprocessing, training, testing, deployment, and monitoring.

Key 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 to integrate AI solutions into real-world products.
  • Ensure 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).
  • Strong problem-solving ability and ability to work independently in a remote environment.

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.

What We Offer:

  • Work on international AI projects.
  • Competitive salary and growth opportunities.
  • Remote-first working culture with cross-border collaboration.
  • Access to cutting-edge AI research and tools.
  • A chance to own end-to-end AI solutions.

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