
Data Driven Solutions Specialist
10 hours ago
Machine Learning Engineer Role Overview
We are seeking a highly skilled Machine Learning Engineer to join our team. The ideal candidate will have 3-8 years of hands-on experience designing, developing, and deploying ML solutions in real-world settings.
About the RoleYou will work closely with product teams and software engineers to build scalable ML systems that drive impact. Your responsibilities will include:
- Designing, building, and deploying production-grade machine learning models.
- Partnering with cross-functional teams to identify business needs and translate them into ML solutions.
- Owning the entire ML pipeline — from data ingestion and preprocessing to model training, evaluation, deployment, and monitoring.
- Continuously optimizing model performance, ensuring scalability and reliability in production environments.
- Maintaining and improving existing ML pipelines and infrastructure.
As a Machine Learning Engineer, you will be responsible for:
- Designing and implementing efficient machine learning algorithms.
- Developing and deploying scalable ML models in production environments.
- Collaborating with cross-functional teams to identify business needs and develop effective ML solutions.
- Evaluating and optimizing ML model performance.
- Staying up-to-date with emerging ML trends and technologies.
To be successful in this role, you will need:
- 3-8 years of hands-on experience in machine learning and software development.
- Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Deep understanding of data structures, algorithms, and software engineering principles.
- Experience working with cloud platforms (AWS, GCP, or Azure).
- Skilled in handling large datasets and using data processing tools like Pandas or Spark.
This is an excellent opportunity to join our team and contribute to the development of innovative ML solutions. As a Machine Learning Engineer, you will have the chance to:
- Work on challenging projects and collaborate with talented professionals.
- Stay up-to-date with emerging ML trends and technologies.
- Develop your skills and expertise in ML engineering.
- Contribute to the development of scalable and reliable ML systems.
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