Expert Machine Learning Model Developer

6 days ago


Bellary, Karnataka, India beBeeMachineLearning Full time ₹ 17,00,000 - ₹ 23,00,000

Excelgig is partnering with a leading AI solutions provider to expand their global team of artificial intelligence and machine learning experts.

About the Role

We are seeking a skilled Machine Learning Engineer to join our innovative team. As a key member, you will be responsible for designing and developing custom machine learning models to solve complex business problems across various domains.

Key Responsibilities:
  • Design and develop cutting-edge machine learning models using deep learning frameworks like PyTorch and TensorFlow.
  • 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 and services.
  • Ensure high-performance, scalable, and production-ready deployment using MLOps practices.
  • Optimize models with advanced techniques including hyperparameter tuning, distributed training, and GPU optimization.
  • Contribute to research initiatives and stay up-to-date with the latest innovations in Large Language Models (LLMs) and automation frameworks.
  • Document technical processes, architectures, and pipeline workflows for reproducibility and knowledge sharing.
Requirements:
  • Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • At least 5 years of hands-on experience in developing AI/ML solutions.
  • Strong programming expertise in Python and popular ML libraries.
  • Proven track record in building and managing ML pipelines.
  • 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 tools (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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