Machine Learning Engineer - Data-Driven ML & NLP/CV

OceanWave Maritime; Lahore; On-site; PKR 4,221,863 - 5,711,933; Full time

Benefits offered by this job

Accommodation

Biometric passport support

Job summary

OceanWave Maritime in Lahore is seeking a highly skilled Machine Learning Engineer to join our team. You will develop and implement ML models, work with cross-functional teams to identify business problems, and collect clean data for training and testing of models.

You will build scalable ML pipelines, analyze model performance, and stay current with the latest ML techniques and frameworks such as TensorFlow or PyTorch.

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics or a related field.
• Minimum of 3 years of experience as a Machine Learning Engineer.
• Strong programming skills in Python, R or Java.
• Experience with data mining, data preprocessing, feature engineering and building predictive models.
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• Excellent problem-solving skills and ability to think creatively.
• Strong communication skills to collaborate with cross-functional teams.

Responsibilities

• Develop and implement machine learning algorithms and models.
• Collaborate with cross-functional teams to identify business problems solvable by ML.
• Collect clean and preprocess data for training and testing of models.
• Build scalable, efficient and automated ML pipelines.
• Analyze model performance and implement improvements.
• Stay up-to-date with ML advancements and frameworks.

Skills

Python

R

Java

Data mining

Data preprocessing

Feature engineering

TensorFlow

PyTorch

Problem solving

Communication

NLP

CV

AWS

Azure

GCP

Hadoop

Spark

Education

Bachelor's or Master's in CS/Math or related

Tools

AWS

Azure

GCP

Hadoop

Spark

Job description

OceanWave Maritime in Lahore is seeking a highly skilled Machine Learning Engineer to join our team. You will develop and implement ML models, work with cross-functional teams to identify business problems, and collect clean data for training and testing of models.

You will build scalable ML pipelines, analyze model performance, and stay current with the latest ML techniques and frameworks such as TensorFlow or PyTorch.