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AI/ML Engineer
1 month ago
At Simform, we're seeking a highly skilled Sr./Lead AI/ML Engineer to join our team. As a key member of our data science team, you will be responsible for designing and developing machine learning pipelines for various tasks, including classification, regression, and natural language processing (NLP).
Key Responsibilities:- Design and Develop Machine Learning Pipelines: Create and implement machine learning pipelines for classification, regression, and NLP tasks using frameworks like TensorFlow, PyTorch, scikit-learn, and LangChain.
- Experiment with Machine Learning Algorithms: Implement and experiment with different machine learning algorithms and techniques, including supervised learning, unsupervised learning, and deep learning.
- Pre-process and Clean Large Datasets: Pre-process and clean large datasets for model training and evaluation.
- Train, Evaluate, and Optimize Models: Train, evaluate, and optimize machine learning models using cloud platforms like AWS, GCP, and Azure.
- Integrate Machine Learning Models: Integrate machine learning models into production systems and monitor their performance.
- Collaborate with Stakeholders: Collaborate effectively with data scientists, software engineers, and other stakeholders to ensure the successful development and deployment of machine learning solutions.
- Communicate Technical Concepts: Communicate complex technical concepts to non-technical audiences.
- Experience with Cloud Platforms: Utilize database knowledge to efficiently store, retrieve, and manage large datasets used for training and evaluating machine learning models.
- GenAI Platform Development: Develop and maintain a GenAI-based platform.
- AI Agent Development: Develop AI agents to propose actions for the Food Security/Strategic Commodity Reserves team and models.
We're looking for a highly skilled and experienced Sr./Lead AI/ML Engineer who can lead the architecture of a resilient, secure, and scalable GenAI platform. If you're passionate about machine learning and data science, and have a strong background in computer vision and LLM applications, we'd love to hear from you.