Position Overview:
We seek a seasoned MLOps Сonsultant to support our pre-sales initiatives, engaging with prospective clients to architect scalable machine learning solutions in cloud and on-premises environments. The ideal candidate will have a strong blend of technical and communication skills, with an emphasis on English proficiency.
Key Responsibilities:
- Pre-sales Support: Join pre-sales discussions to address technical questions, understand client needs, and craft ML infrastructure solutions that align with their goals.
- Architect ML Solutions: Design scalable ML solutions for high-load inference scenarios, both on the cloud and on-premises.
- ML Deployment Automation: Advise on and implement strategies for the automation of ML model deployment across diverse environments.
- ML Pipeline Monitoring: Set up robust monitoring mechanisms for ML pipelines to ensure optimal performance and timely detection of issues.
- CI/CD Automation: Automate Continuous Integration and Continuous Deployment (CI/CD) pipelines, accounting for data, code, and model versioning.
- Automated Model Retraining: Design and implement solutions for automated retraining of ML models based on defined criteria.
- Decision-making: Provide recommendations on the level of automation required, balancing efficiency with feasibility.
- Collaboration: Work closely with the sales and technical teams, ensuring alignment of solutions with broader company offerings and capabilities.
Required Qualifications:
- Technical Expertise: Proven experience in MLOps, with specific skills in cloud and on-premises ML infrastructure setups.
- Strong Communication Skills: Ability to articulate complex technical concepts to a non-technical audience. Fluent English proficiency is essential.
- Problem-solving: Ability to quickly understand client pain points and devise practical solutions.
- Team Player: Experience working in cross-functional teams and collaborating effectively.
- Continuous Learner: Up-to-date with the latest trends, tools, and best practices in MLOps.
Preferred Qualifications:
- Certifications: Relevant certifications in cloud technologies or MLOps are a plus.
- Sales Acumen: Prior experience in pre-sales or a clear understanding of the sales process.
Our benefits:
- Professional and career growth promotion;
- Competitive salary;
- Flexible working hours;
- Regular technical training at our office.
