
Senior Machine Learning Engineer Position Available
17 hours ago
AI Solutions Developer
Job OverviewAs a key member of our AI engineering team, you will design, develop, and deploy artificial intelligence and machine learning models for real-world applications. The ideal candidate should possess a strong passion for advancing the field of artificial intelligence.
Key Responsibilities:
- Design and implement AI/ML models using Python and frameworks such as TensorFlow or PyTorch. You will work closely with cross-functional teams to integrate AI solutions into production.
- Work on large language models (LLMs), natural language processing (NLP), computer vision, and predictive analytics. Your role will involve staying updated with advancements in AI/ML and suggesting improvements for implementation.
- Optimize ML pipelines for performance and scalability. You will collaborate with other engineers to ensure seamless integration of AI solutions into production environments.
- Candidates should have experience working with cloud platforms (AWS, GCP, Azure) for AI/ML deployment. A good understanding of software development practices and Git is also required.
Requirements:
- A minimum of 3-7 years of experience in AI/ML engineering roles. Strong proficiency in Python and familiarity with frameworks like Scikit-learn are essential.
- Experience working with LLMs and fine-tuning large models is crucial for this position. Knowledge of ML pipelines, data preprocessing, and deployment frameworks (e.g., Docker, Kubernetes) is also necessary.
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