Sr. AI/ML Engineer
About The Position
Serve as a leader in the design, implementation, and maintenance of large-scale data intelligence solutions. Perform studies and testing to develop machine learning algorithms along with pattern recognition and predictive models. Able to utilize data computation and storage tools to create prototypes and datasets. Conduct model trainings and evaluations. Implement rigorous testing and validation procedures to ensure the performance, accuracy, and reliability of AI/ML models. Work closely with the development teams to integrate ML models into the enterprise solutions. Understand client business needs and develop ML solutions to cater to their needs and demands. Maintain comprehensive documentation of AI/ML models, code, and processes. Stay up to date with the latest advancements in AI/ML. Provide guidance and mentorship to junior members of the AI/ML team. Perform other related duties as assigned.
Requirements
- Master’s degree in Computer Science, Data Analytics, Applied Economics, or a related field of study
- One (1) year of experience in the job offered or related occupation
- Demonstrated experience with programming languages (Python, Java, or C++)
- Demonstrated experience managing large datasets and complex data pipelines
- Demonstrated experience with statistical analysis and experimental design working with structured and unstructured datasets
- Demonstrated experience with coding languages (Java, Scala or Python)
- Demonstrated experience with Cloud Services and Concepts (AWS, Azure or Google Cloud)
- Demonstrated experience with Relational Database technologies (MySQL or Postgres: data models, data mining, segmentation techniques and optimization)
- Demonstrated experience with REST API design
- Demonstrated experience with machine learning frameworks (Spark, TensorFlow, or PyTorch) and libraries (Scikit-learn or NumPy)
- Demonstrated experience with data manipulation and analysis tools (Pandas or SQL)
- Demonstrated experience with containerization techniques with Docker
Responsibilities
- Serve as a leader in the design, implementation, and maintenance of large-scale data intelligence solutions.
- Perform studies and testing to develop machine learning algorithms along with pattern recognition and predictive models.
- Utilize data computation and storage tools to create prototypes and datasets.
- Conduct model trainings and evaluations.
- Implement rigorous testing and validation procedures to ensure the performance, accuracy, and reliability of AI/ML models.
- Work closely with the development teams to integrate ML models into the enterprise solutions.
- Understand client business needs and develop ML solutions to cater to their needs and demands.
- Maintain comprehensive documentation of AI/ML models, code, and processes.
- Stay up to date with the latest advancements in AI/ML.
- Provide guidance and mentorship to junior members of the AI/ML team.
- Perform other related duties as assigned.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
