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1 Day ago
Quanteon Solutions - Software Engineer - Artificial Intelligence/Machine Learning
Pune, Maharashtra, India
Information Technology
Full-Time
Quanteon Solutions
Overview
About The Role
We are seeking a talented and passionate Software Engineer with expertise in AI and Machine Learning to design, develop, and deploy intelligent solutions for real-world applications.
Responsibilities
You will work on cutting-edge ML models, handle large datasets, and collaborate with cross-functional teams to bring AI-powered features into Responsibilities :
We are seeking a talented and passionate Software Engineer with expertise in AI and Machine Learning to design, develop, and deploy intelligent solutions for real-world applications.
Responsibilities
You will work on cutting-edge ML models, handle large datasets, and collaborate with cross-functional teams to bring AI-powered features into Responsibilities :
- Design, develop, and deploy machine learning and deep learning models for various business applications.
- Perform data preprocessing, feature engineering, and rigorous model evaluation to ensure high-quality solutions.
- Collaborate with cross-functional teams, including product, engineering, and data teams, to integrate ML solutions into production systems.
- Optimize model performance and scalability for real-time applications.
- Stay updated with the latest research, tools, and technologies in AI/ML to drive & Skills :
- Strong experience with Python and popular ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Hands-on experience with data pipelines, model deployment, and performance tuning.
- Familiarity with cloud platforms such as AWS, GCP, or Azure is a plus.
- Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and deep learning.
- Strong problem-solving, analytical, and debugging skills.
- Excellent communication and teamwork abilities, with a collaborative Skills :
- Experience in tuning LLMs and working with generative AI models.
- Knowledge of model monitoring, versioning, and lifecycle management in production environments
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