Position: Sr. Machine Learning Engineer

Job Description

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

Roles and Responsibilities

*        Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.

*        Consulting with managers to determine and refine machine learning objectives.

*        Transforming data science prototypes and applying appropriate ML algorithms and tools.

*        Ensuring that algorithms generate accurate user recommendations.

*        Good knowledge on any of the visualization tool like tableau/power bi

*        Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.

*        Developing ML algorithms to analyze huge volumes of historical data to make predictions.

*        Running tests, performing statistical analysis, and interpreting test results.

*        Documenting machine learning processes.

*        Keeping abreast of developments in machine learning.

Experience/Skills required

*        Bachelor's degree in computer science, data science, mathematics, or a related field.

*        5-8 years relevant experience in data science or Machine Learning

*        Must have deployed at least 2 end-to-end ML model in production

*        Good experience in developing scalable implementations of ML algorithms and modeling pipelines

*        Experience working on Image processing and NLP is required

*        Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.

*        In-depth knowledge of mathematics, statistics, and algorithms.

*        Knowledge on Cloud platforms

*        Great communication and collaboration skills.

*        Excellent time management and organizational abilities.

Good to have skills

*        Experience working in MLOPS projects

*        Knowledge of Jenkins based pipeline testing is good to have.