Ai Ml Engineer

Develop and implement AI/ML models to solve complex business problems, including data preprocessing, feature engineering, and model training.

Design and optimize machine learning algorithms for predictive analytics, natural language processing (NLP), computer vision, or other AI applications.

Deploy and maintain ML models in production environments using MLOps practices, including model monitoring and retraining.

Collaborate with data engineers and software developers to integrate AI solutions into existing applications and systems.

Analyze large datasets to extract meaningful insights and improve decision-making.

Optimize model performance by fine-tuning hyperparameters and using techniques like transfer learning and ensemble learning.

Utilize cloud platforms (AWS, Azure, GCP) and frameworks like TensorFlow, PyTorch, or Scikit-Learn for AI/ML development.

Stay updated on the latest AI/ML trends and research, applying innovative techniques to enhance model accuracy and efficiency.

Ensure data security and ethical AI practices by implementing fairness, bias mitigation, and explainability in models.

Write and maintain clear documentation for AI/ML models, processes, and best practices.

What We Offer:
H1B Sponsorship 2025 is available.
Competitive salary packages.