Remote Machine Learning Engineer - Big Data Analytics

Placements24; Gqeberha; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Home office stipend

Health insurance

Flexible hours

Professional development

Job summary

Placements24 is seeking a remote Machine Learning Engineer with 3+ years of experience to design, train, and deploy scalable ML models on big data platforms. You will work with a globally distributed team to build end-to-end ML solutions.

You''ll implement data pipelines, leverage Spark/Hadoop, and apply MLOps practices in a cloud environment while collaborating across data science and software engineering teams.

Qualifications

• 3+ years of professional ML engineering or data science experience.
• Experience with big data tech such as Spark or Hadoop.
• Proficiency in Python or Scala and ML libraries like TensorFlow/ PyTorch.
• Experience with cloud ML services and CI/CD for ML workflows.

Responsibilities

• Develop, train, and deploy ML models using large-scale datasets.
• Design data pipelines for ML training and inference.
• Utilize Spark/Hadoop for data processing and feature engineering.
• Implement MLOps practices for versioning, monitoring, and deployment.
• Collaborate with data scientists and software engineers to productionize models.
• Optimize algorithms and data processing for performance and scalability.
• Evaluate models and identify improvements, staying current with ML trends.
• Document models, pipelines, and deployment steps.

Skills

Big data

Spark

Python

Scala

ML libraries

Remote collaboration

Education

Bachelor''s or Master''s in CS/Data Science

Tools

Apache Spark

Hadoop

CI/CD for ML

Job description

About the Role

Our client, a fast-growing data analytics firm, is seeking a Remote Machine Learning Engineer with expertise in big data to join their globally distributed team. This fully remote position is ideal for an individual passionate about building and deploying scalable machine learning models that derive actionable insights from massive datasets. You will be responsible for the end-to-end ML lifecycle, from data ingestion and feature engineering to model training, evaluation, and deployment. This role offers the flexibility to work from anywhere while collaborating with a talented team on challenging projects that impact key business decisions. We are looking for a proactive and detail-oriented engineer who can leverage big data technologies and advanced ML techniques to drive innovation in data-driven solutions. This is a fully remote opportunity focused on collaborative development and asynchronous workflows.

Key Responsibilities

• Develop, train, and deploy machine learning models using large-scale datasets.
• Design and implement robust data pipelines for ML model training and inference.
• Utilize big data technologies (e.g., Spark, Hadoop) for data processing and feature engineering.
• Implement MLOps best practices for model versioning, monitoring, and deployment.
• Collaborate with data scientists and software engineers to integrate ML models into production systems.
• Optimize ML algorithms and data processing tasks for performance and scalability.
• Evaluate model performance and identify opportunities for improvement.
• Stay updated on the latest advancements in machine learning and big data technologies.
• Document ML models, pipelines, and deployment processes.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field.
• 3+ years of professional experience as a Machine Learning Engineer or Data Scientist with a strong engineering focus.
• Proven experience working with big data technologies such as Apache Spark, Hadoop, or similar distributed computing frameworks.
• Proficiency in programming languages like Python or Scala, and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Solid understanding of ML algorithms, model evaluation techniques, and feature engineering.
• Familiarity with MLOps tools and CI/CD practices for ML.
• Strong analytical and problem-solving skills.
• Excellent communication skills, capable of working effectively in a remote setting.
• Demonstrated ability to manage multiple tasks and work independently.

Benefits

• Competitive salary and performance bonuses.
• Fully remote work arrangement with flexible hours.
• Home office stipend for setting up a productive workspace.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and company holidays.
• Opportunities for professional development, including online courses and conferences.
• Access to cutting-edge tools and technologies.
• Virtual team events to foster connection and collaboration.