PowerShell Expert

• Perform onsite installations, implement continuous improvement programs, conduct parts overhauls, and carry out preventive maintenance, modifications, and repairs on equipment. 
• Troubleshoot and resolve technical issues related to semiconductor equipment and systems, including computer systems, complex software, and networked or wireless systems.
• Coordinate logistics and communicate with customers on equipmentrelated issues. 
• Address customer complaints and provide timely solutions to resolve their concerns. 
• Report common customer complaints to management to facilitate future improvements.
• Monitor product performance and deliver regular update reports and feedback on customer service requests. 

• Minimum a Degree or Diploma in Electrical/Electronic/Mechanical/Mechatronic Engineering with at least 2 years of field engineering experience within the semiconductor equipment or machinery space.
• Excellent communication and interpersonal skills to interact with customers and stakeholders across all levels.
• A highly motivated individual capable of working independently with minimal supervision. 

• Strong employer branding, top 5 among their competitors. 
• Attractive compensation and employees’ benefits
• New expansion role with visible career prospect and proven job stabilities. 

Python Developer

Location: Poland (Remote)

Contract: 6 Months +

Start: ASAP

Key Skills: Innovation | Machine Learning | Data Insights | Real-time Processing | Collaboration | Python | Model Deployment | Docker | Mentorship |

Key Responsibilities:

• Generate innovative ideas and develop compelling business cases, presenting them effectively to stakeholders.
• Analyze complex datasets to uncover actionable insights, translating findings into strategic recommendations.
• Communicate data-driven insights through clear verbal presentations and impactful visualizations tailored to diverse audiences.
• Collaborate with cross-functional teams to establish and implement success metrics, ensuring alignment with product objectives and stakeholder needs.
• Develop, implement, and fine-tune machine learning models that are scalable, reliable, and efficient for real-time predictions.
• Partner with Machine Learning Engineers to deploy and maintain models while driving performance enhancements.
• Work with real-time data, seamlessly integrating it into machine learning frameworks to optimize predictions.
• Collaborate with Developers and Operations Research Scientists to ensure effective utilization of predictions for operational impact.
• Foster collaboration within the data science team by sharing best practices, providing feedback, and driving continuous improvement.

Experience:

• Expertise in data science and machine learning methodologies, with proven experience applying them in production settings.
• Demonstrated success in deploying, scaling, and maintaining machine learning models for long-term use.
• Proficiency in Python (e.g., scikit-learn, pandas, seaborn) and SQL for data analysis and production applications.
• Strong grasp of software development practices, including testing, version control (git), code reviews, and lifecycle management for models.
• Familiarity with Docker containers for creating reproducible and scalable environments.
• Experience integrating real-time data into machine learning pipelines and frameworks.