Machine Learning Engineer

About the company:

The company is a leading IT solutions provider that specializes in helping businesses drive growth and transformation through the power of data science and automation. Their tailored solutions harness the potential of big data, machine learning, and automation tools to create customized, scalable systems that meet the unique needs of each client. Their expertise in leveraging the latest technological advancements ensures that businesses can stay competitive, improve productivity, and achieve their strategic objectives.

Duties/Responsibilities:

1. Design, build, and deploy machine learning models for various business applications, ensuring scalability and efficiency in production environments.
2. Collaborate closely with data scientists, data engineers, and cross-functional teams to understand business needs, gather data, and translate requirements into machine learning solutions.
3. Develop and maintain robust pipelines for data processing, model training, and deployment, utilizing workflow tools such as Apache Airflow.
4. Implement and optimize MLOps practices for streamlined deployment, monitoring, and retraining of models.
5. Experiment with new algorithms and methodologies, applying best practices to improve model accuracy, efficiency, and reliability.
6. Stay current on industry trends, tools, and techniques in machine learning and MLOps.
7. Present technical results and recommendations clearly to stakeholders, translating complex findings into actionable insights.

Required Skills/Qualifications:

1. Bachelor's or advanced degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
2. Strong programming skills, with experience in Python and machine learning libraries/frameworks such as scikit-learn, TensorFlow, or PyTorch.
3. Proficiency in MLOps practices, including model deployment, versioning, monitoring, and CI/CD pipelines.
4. Experience deploying models on-premise & cloud environments; strong understanding of data processing frameworks (e.g., Spark, Hadoop) and experience handling large datasets.
5. Excellent problem-solving skills and ability to work both independently and within a team.
6. Strong communication skills, with experience presenting technical results to non-technical stakeholders.

Remuneration:

• Up to RM 11,000.
• 14-month salary.

Working Hours:

• 40 hours per week.

Location:

Ara Damansara.

Consultant In-Charge:

Tracy Lee | 010 391 2633 | tracy.lee@hunters-in.com