Datascience / Machine Learning
5 days ago
**Responsibilities**:
- Develop machine learning algorithms for forecasting and predictive modelling for Supply Chain management products.
- Analyze and standardize Supply chain management data and Implement data transformation from various sources.
- Prepare data, develop, validate models for forecasting and prediction systems.
- Work closely with other engineers to integrate with the rest of the system.
- Design, develop and refine infrastructure for operating machine learning pipelines at scale.
- Work directly with data scientists and DevOps team to enable successful deployments.
- Monitor ML and data pipelines.
- Implement LLMs in production, ensuring scalability, reliability, and cost-effectiveness.
- Optimize LLMs for latency, accuracy, and efficiency, using techniques such as model pruning, quantization, or distillation.
- Should be aware of the Open AI and its usages.
**Preferred Qualifications**:
- Have extensive knowledge of data science and machine learning methodologies.
- Proficiency in SQL [Oracle/Mysql or any relational database is ok as well]
- Experience with cloud computing(GCP preferred, but ok with AWS or azure as well)
- At least 3+ years, hands on industry experience with data science and machine learning
- Good communication skills, including in an interdisciplinary environment
- Software tool development experience: source control (git), packaging, documentation
- Experience in communicating with and briefing senior executives
- Comfortable working in a fast paced, highly collaborative and fluid work environment
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