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1 week ago
**Job Description for AI/ML Engineer at Saras Analytics**
We are seeking a highly skilled and motivated AI/ML engineer to join our team at Saras Analytics. The ideal candidate will have extensive experience in developing, deploying, and optimizing machine learning models and pipelines.
The selected candidate will be responsible for automating workflows, transitioning proofs of concept (POCs) into production environments, and building scalable solutions such as customer segmentation, demand forecasting, and market mix models.
In this role, you will work with cutting-edge AI advancements, including Retrieval-Augmented Generation (RAG) and AI Agents, contributing to end-to-end automated Data Science solutions.
Key Responsibilities:- Design, develop, and implement machine learning pipelines for automated workflows and customer insights generation.
- Build and optimize predictive models for applications such as demand forecasting, inventory forecasting, and market mix modeling.
- Develop natural language processing (NLP) modules leveraging techniques such as Retrieval-Augmented Generation (RAG) and AI Agents with LLMs.
- Deploy machine learning models into production environments, ensuring scalability, reliability, and efficiency.
- Transition POCs from experimentation to fully operational, production-grade systems.
**Required Qualifications:**
- Bachelors or Masters degree in Computer Science, Machine Learning, Data Science, or a related field.
- Proven experience in machine learning engineering or a similar role.
- Proficiency in Python and its data science libraries.
- Hands-on experience with ML frameworks such as PyTorch and TensorFlow.
- Strong knowledge of data pre-processing, feature engineering, and model evaluation methodologies.
- Understanding of NLP concepts, including pre-processing, embeddings, entity recognition, and vector storage.