AI ML R&D Engineering Lead
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Job Location:
Monthly Salary:
Posted on:
21 hours ago
Vacancies:
1 Vacancy
Job Summary
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Job Responsibilities:
The AI/ML Research and Development Engineering Lead is responsible for leading a team of engineers in developing production-grade AI based systems. This role focuses on applying cutting edge AI research to real-world problems designing scalable and maintainable systems and ensuring high engineering standards across the ML stack. The lead will collaborate closely with product platform and data teams to ensure end-to-end delivery of AI-powered solutions. The emphasis is on engineering excellence robustness and impact.Tasks and Responsibilities
- Lead a team of AI/ML engineers to design build test and maintain production AI systems.
- Own the end-to-end AI model lifecycle including data ingestion feature engineering model training evaluation deployment and monitoring.
- Set and enforce software engineering best practices for ML codebases (testing code reviews documentation CI/CD versioning).
- Architect scalable and reliable AI services and pipelines that integrate with existing backend and platform infrastructure.
- Collaborate with product data and platform teams to translate business requirements into robust AI-driven solutions.
- Ensure models in production are observable debuggable and maintainable (metrics logging alerts retraining strategies).
- Mentor engineers on Python best practices system design and production AI patterns.
- Stay up to date with industry trends in ML engineering MLOps and applied ML and assess their practical applicability.
Requirements
- Degree (preferably Masters) in Computer Science AI or a related engineering field.
- 7 years of experience in software engineering.
- Significant production ownership of AI-based systems.
- Proven experience leading and mentoring engineers in a production-focused environment.
- Strong expertise in Python with a deep understanding of clean code testing packaging and performance considerations.
- Solid understanding of ML fundamentals (training evaluation bias/variance metrics) with a pragmatic application-driven mindset.
- Experience designing and operating ML pipelines and services (batch and/or real-time).
- Familiarity with MLOps practices: model versioning CI/CD monitoring rollback strategies and reproducibility.
- Strong communication skills with the ability to align technical decisions with product and business goals.
- Experience in working with cross-functional teams to bring research into production.
REQUIREMENTS
Education
- Bachelors or higher in a relevant field
Experience
- Proficiency in machine learning frameworks and programming languages (e.g. TensorFlow PyTorch Python).
- Experience with cloud platforms (e.g. AWS GCP Azure) and MLOps tools (e.g. SageMaker Weights and Biases).
Skills & Knowledge
- Strong understanding of AI/ML algorithms and model deployment.
- Excellent leadership and project management skills.
- Ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders.
- A solid foundation in software engineering principles and best practices.
Additional Job Details:
Required Experience:
IC
Key Skills
- Laboratory Experience
- Vendor Management
- Design Controls
- C/C++
- FDA Regulations
- Intellectual Property Law
- ISO 13485
- Research Experience
- SolidWorks
- Research & Development
- Internet Of Things
- Product Development
About Company
Welocalize enables brands to reach and grow global audiences through services and solutions for translation, localization, adaptation, interpretation, and automation. We offer multilingual solutions to transform all content types for local audiences, at every step of our clients’ glob ... View more
