
Advanced AI Architect
1 day ago
**Job Description**: As an experienced Artificial Intelligence (AI) Engineer, you will play a key role in designing and implementing cutting-edge ML/AI solutions to drive business growth. Your expertise will enable us to automate processes, improve efficiency, and deliver high-quality results.
**Key Responsibilities:**
- Develop scalable, enterprise-grade ML/AI applications using cloud-based technologies.
- Collaborate with Data Science, Data Engineering, and Cloud teams to integrate Machine Learning models into production environments.
- Create innovative automation solutions to increase efficiency and scalability.
- Design, implement, and manage industrialized processing pipelines.
- Establish best practices for ML model life cycles and operations.
- Implement AI/MLOps frameworks and support Data Science teams in adopting best practices.
- Stay up-to-date with modern techniques, tools, and frameworks in ML Architecture and Operations.
- Gather and analyze technical requirements to estimate project timelines.
- Present solutions, concepts, and results to internal and external stakeholders.
- Provide technical leadership on ML projects, defining tasks, guidelines, and evaluating outcomes.
**Required Skills & Qualifications**: We are looking for individuals with:
- Strong understanding of ML/AI concepts, including types of algorithms, machine learning frameworks, model efficiency metrics, model life cycle, and AI architectures.
- Familiarity with cloud concepts and architectures, as well as working knowledge with selected cloud services, preferably Google Cloud Platform (GCP).
- Experience in programming ML algorithms and data processing pipelines using Python.
- A minimum of 6-8 years of experience in developing production-ready code.
- Hands-on experience with designing and implementing data pipelines.
- Practical experience with implementing ML solutions on GCP Vertex.AI and/or Databricks.
- Excellent communication skills.
- Able to work collaboratively and support team members.
- Takes ownership of tasks and deliverables.
- Exceptional problem-solving skills and critical thinking.
- Fluency in written and spoken English.
**Nice to Have Skills & Knowledge**: If you have experience with:
- Other programming languages such as PySpark, Scala, R, or Java.
- Tools like AirFlow, ADF, or Kubeflow.
- CLOUD Computing and software engineering best practices.
- Productizing ML solutions using Docker/Kubernetes.
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