Senior AI/ML Engineer
Budget: $10.0 - $20.0
HOURLY / FULL_TIME
⭐ 0.00 (0)
machine-learning
AI/ML Engineer (Long-Term | US Timezone)
We are looking for an experienced AI/ML Engineer to join our team for long-term collaboration.
Requirements
5+ years of hands-on experience in AI/ML engineering
Strong experience with LLMs, Generative AI, RAG, NLP, or machine learning workflows
Strong Python and SQL skills
Experience working with large datasets and data pipelines
Comfortable working during US business hours/timezone overlap
Fluent English communication skills
Available for 6+ hours daily
Strong analytical thinking and problem-solving ability
Nice to Have
Data Engineering experience
Data Analyst or Data Scientist background
Experience with ETL/ELT pipelines and data transformation
Experience with Spark, Airflow, Kafka, or Databricks
Experience building dashboards and reports using Power BI, Tableau, or similar tools
Knowledge of data warehousing, data modeling, and analytics workflows
Experience deploying AI applications to production environments
Responsibilities
Build and improve AI/ML solutions
Develop and optimize LLM/RAG pipelines
Design and maintain scalable data pipelines
Analyze datasets and generate actionable insights
Work with APIs, vector databases, and workflow automation
Collaborate with the team during US working hours
Participate in architecture and technical discussions
Preferred Tech Stack
Python, SQL, PyTorch, TensorFlow, Hugging Face, LangChain, OpenAI APIs, Spark, Airflow, Databricks, Kafka, AWS/GCP/Azure, Docker, Kubernetes, Power BI, Tableau
Please include:
Relevant AI/ML and data engineering projects
Resume or portfolio
Availability in US timezone
Daily working hours
English proficiency level
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