AI/ML Engineer
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Remotavia Key Facts
- Found by Remotavia
- 12/10/2026, 10:12:10 UTC
- Employer posted
- 12/10/2026
- Verified
- Not verified
- Source
- Aggregator: Himalayas
- Degree / experience
- Not mentioned
- Timezone
- Not specified
- Visa / authorization
- unknown
- Languages
- Not specified
Role at a glance
π About the Job Toplent helps companies scale faster by connecting them with exceptional remote professionals from SEA, LATAM, and South Africa. We are currently collaborating with a client who is seeking a skilled and reliableβ¦
Can I apply?
Source evidence: βπΌ Responsibilities: π§ Design, develop, and deploy machine learning models and AI-driven solutions π Collect, preprocess, and analyze large datasets to ensure high-quality model training βοΈ Build scalable data pipelines and integrate ML models into production environments π Monitor model performance, retrain, and fine-tune models as needed π οΈ Collaborate with software engineers, data scientists, and product managers to deliver AI-powered features π Document experiments, methodologies, and best practices for reproducibility π Ensure compliance with data privacy and security standards in all AI/ML workflows π οΈ Required Skills: π¬ Strong communication skills and ability to work with cross-functional teams π©βπ» Proficiency in Python and ML frameworks/libraries such as TensorFlow, PyTorch, or Scikit-learn π Solid understanding of machine learning algorithms, deep learning, and statistical modeling ποΈ Experience with data processing frameworks (e.g., Pandas, Spark) and SQL/NoSQL databases βοΈ Familiarity with cloud platforms (AWS, GCP, or Azure) for ML model deployment π§Ύ Hands-on experience with MLOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes) π§ Strong problem-solving skills and ability to optimize models for scalability and performance β Previous experience as an AI/ML Engineer or in a similar role is strongly preferred π Benefits: π Remote Role (Work from anywhere) π΅ Competitive Salary in USD π Professional growth opportunities and access to cutting-edge AI/ML projects π€ Collaborative and supportive remote work culture Originally posted on Himalayasβ
Overview
π About the Job
Toplent helps companies scale faster by connecting them with exceptional remote professionals from SEA, LATAM, and South Africa. We are currently collaborating with a client who is seeking a skilled and reliable AI/ML Engineer to join their team on a remote full-time basis.
πΌ Responsibilities:
- π§ Design, develop, and deploy machine learning models and AI-driven solutions
- π Collect, preprocess, and analyze large datasets to ensure high-quality model training
- βοΈ Build scalable data pipelines and integrate ML models into production environments
- π Monitor model performance, retrain, and fine-tune models as needed
- π οΈ Collaborate with software engineers, data scientists, and product managers to deliver AI-powered features
- π Document experiments, methodologies, and best practices for reproducibility
- π Ensure compliance with data privacy and security standards in all AI/ML workflows
π οΈ Required Skills:
- π¬ Strong communication skills and ability to work with cross-functional teams
- π©βπ» Proficiency in Python and ML frameworks/libraries such as TensorFlow, PyTorch, or Scikit-learn
- π Solid understanding of machine learning algorithms, deep learning, and statistical modeling
- ποΈ Experience with data processing frameworks (e.g., Pandas, Spark) and SQL/NoSQL databases
- βοΈ Familiarity with cloud platforms (AWS, GCP, or Azure) for ML model deployment
- π§Ύ Hands-on experience with MLOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes)
- π§ Strong problem-solving skills and ability to optimize models for scalability and performance
- β Previous experience as an AI/ML Engineer or in a similar role is strongly preferred
π Benefits:
- π Remote Role (Work from anywhere)
- π΅ Competitive Salary in USD
- π Professional growth opportunities and access to cutting-edge AI/ML projects
- π€ Collaborative and supportive remote work culture
Originally posted on Himalayas
Responsibilities
- π§ Design, develop, and deploy machine learning models and AI-driven solutions
- π Collect, preprocess, and analyze large datasets to ensure high-quality model training
- βοΈ Build scalable data pipelines and integrate ML models into production environments
Remote eligibility
Open to applicants worldwide.
Listing says: βRemote β Argentinaβ
Timezones (UTC offsets): -3
About Toplent
Company details have not been provided yet.
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