Remote ML/AI Engineer — MLOps/LLMOps Expert

Jobgether SRL; United States; Remote; USD 19,000 - 29,000; Full time

Benefits offered by this job

100% remote work: India

Flexible working hours

Full-time, stable employment

Structured onboarding

Continuous learning access

Professional certifications

Upskilling programs

Career progression opportunities

Inclusive work environment

Autonomy and ownership

Referral rewards

Well-being initiatives

Social and environmental impact

Job summary

Jobgether SRL is seeking a senior data engineer with strong ML and MLOps focus to collaborate with data science teams, deploy models, and build scalable data pipelines.

You will optimize workflows, implement best practices across the ML lifecycle, and communicate complex results to stakeholders. This fully remote role from India offers learning opportunities and career growth within a global organization.

Qualifications

• 5+ years in data engineering and building data processing solutions.
• Production-grade ML recommender systems experience.
• 5+ years writing production-ready Python code (APIs/microservices).
• Practical MLOps/LLMOps on Azure or Google Cloud platforms.
• Databricks and big data tooling experience (Spark/PySpark/Hive).
• Strong cloud knowledge and English communication skills.

Responsibilities

• Collaborate with Data Science to deploy, integrate, and maintain models.
• Develop ML/AI/LLM automation solutions to boost scalability.
• Design, implement, and manage production ML workflows and pipelines.
• Define best practices for ML lifecycle, monitoring, and maintenance.
• Support AI/ML tooling adoption and operational standards.
• Research modern techniques and techniques for ML architecture.
• Gather requirements, estimate workloads, and aid planning.

Skills

Data engineering

Python

ML/Ops

Cloud platforms

English fluency

Problem solving

Tools

Azure Machine Learning

Azure AI

Google Cloud Vertex AI

Databricks

Spark

PySpark

Hive

Job description

Jobgether SRL is seeking a senior data engineer with strong ML and MLOps focus to collaborate with data science teams, deploy models, and build scalable data pipelines.

You will optimize workflows, implement best practices across the ML lifecycle, and communicate complex results to stakeholders. This fully remote role from India offers learning opportunities and career growth within a global organization.