Data Science/Machine Learning Engineer (5-11 yrs)

About Dew Solutions :

Founded in 2010 with the objective of developing next generation technology solutions. We are an IT Service Company founded by IIT'ians to provide full 360 degree solutions to our clients across the globe. Our team count has crossed 650+ now and is expanding further. Please visit www.dewsolutions.in for more insights.

Job Description :

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.

- Design, train, and fine-tune large language models to enhance product features and drive AI-powered applications.

- 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

- Knowledge and experience working with Supply chain management software or applications

- 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