Machine Learning Engineer - Deep Learning Specialist

Placements24; Willows (CA); Hybrid; USD 37,000 - 74,000; Full time

Benefits offered by this job

Hybrid work model

Medical aid and retirement fund

Learning opportunities

Job summary

Placements24 is seeking a talented Machine Learning Engineer specialized in Deep Learning to join our innovative team in Welkom. You will build, train, and deploy advanced models, collaborating with data scientists and software engineers to deliver scalable AI solutions.

The role emphasizes production deployment, model monitoring, and cross-functional collaboration in a hybrid work environment within the Free State region. A strong background in DL frameworks and data pipelines is required.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 2+ years hands-on experience developing and deploying deep learning models.
• Proficiency in Python and DL frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with data manipulation libraries (Pandas, NumPy).
• Familiarity with MLOps principles and tools for deployment and monitoring.

Responsibilities

• Develop, implement, and optimize deep learning models for NLP, computer vision, and recommendation systems.
• Design and manage data pipelines for training and evaluating DL models.
• Deploy ML models into production environments with scalability and performance.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Monitor model performance in production, run A/B tests, and iterate based on data.

Skills

Python programming

Deep learning

Collaboration

Education

Bachelor's/Master's degree

Tools

TensorFlow

PyTorch

Keras

Pandas

Job description

About the Role

Our client is looking for a talented Machine Learning Engineer with a specialization in Deep Learning to join their innovative team in Welkom . This role involves building, training, and deploying advanced deep learning models to solve challenging real-world problems. You will work closely with data scientists and software engineers to develop robust and scalable AI solutions that enhance product offerings and operational efficiency. This is a fantastic opportunity to contribute to cutting-edge AI projects in a hybrid work environment, applying your expertise in a growing technological hub within the Free State .

Key Responsibilities

• Develop, implement, and optimize deep learning models for various applications, including NLP, computer vision, and recommendation systems.
• Design and manage data pipelines for training and evaluating deep learning models efficiently.
• Deploy machine learning models into production environments, ensuring scalability and performance.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Monitor model performance in production, conduct A/B testing, and implement improvements based on data analysis.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 2+ years of hands-on experience in developing and deploying deep learning models .
• Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Familiarity with MLOps principles and tools for model deployment and monitoring.

Benefits

• Competitive annual salary with performance-based incentives.
• Hybrid work model providing a blend of office and remote flexibility in Welkom .
• Comprehensive medical aid and retirement fund benefits.
• Opportunities for continuous learning and skill development through workshops and online courses.
• A collaborative and forward-thinking work environment focused on technological advancement.