Machine Learning Engineer
Share
Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
- Develop and integrate ML and NLP models to power intelligent assistant features
- Build agentic workflows using LangChain LangGraph or similar frameworks
- Prototype user interfaces and internal tools using Streamlit or Gradio
- Collaborate with the engineering and product teams to plan and deliver ML-driven features
- Work with Docker to manage development and runtime environments
- Use Git for version control and write clean maintainable code
- Query structured data using SQL
- Contribute to model deployment and operations in a cloud environment (primarily Azure)
Qualifications :
- Strong proficiency in Python
- Experience with agentic AI frameworks such as LangChain or LangGraph
- Solid understanding of machine learning and NLP fundamentals
- Hands-on experience with ML frameworks (e.g. PyTorch TensorFlow)
- Familiarity with prototyping tools such as Streamlit or Gradio
- Knowledge of engineering best practices: Git Docker cloud basics and task estimation
- Practical knowledge of SQL
- Upper-Intermediate level of English (both written and spoken)
WOULD BE A PLUS
- Experience with other agentic or LLM orchestration tools
- Experience with MLOps or model deployment
- Comfortable working in Linux terminal environments
Remote Work :
Yes
Employment Type :
Contract
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
At Sigma Software, we are involved with the clients team to contribute to the design and development of a technical solution for their tokenized domain reservation platform. We started by assigning a software architect to design the smart contracts and integrate blockchain into the s ... View more
