Infrastructure Technical Leader (AI/ML & Data Analytics)

Role Overview:

We are seeking an experienced Infrastructure Technical Leader with a strong foundation in AI, Machine Learning, and Data Analytics to join our dynamic team. The ideal candidate will play a pivotal role in architecting, building, and maintaining our infrastructure while guiding our AI and analytics projects to ensure efficiency, scalability, and reliability

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Key Responsibilities:

- Architect, design, and implement scalable and resilient infrastructure solutions.

- Lead AI/ML initiatives and integrate them into our existing infrastructure.

- Oversee data analytics projects, ensuring the delivery of meaningful insights.

- Collaborate with cross-functional teams including data scientists, engineers, and product managers.

- Drive the adoption of best practices in code quality, security, and infrastructure.

- Evaluate and incorporate new technologies to optimize operational efficiency.

- Provide technical mentorship to junior team members.

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Required Qualifications:

- Bachelor's/Master's degree in Computer Science, Engineering, or a related field.

- Minimum of [X years, e.g., 5 years] experience in infrastructure design and management.

- Proven expertise in AI and ML, including the use of frameworks such as TensorFlow, PyTorch, or Keras.

- Solid experience in data analytics and related tools like SQL, Python, R, and BI platforms.

- Proficiency in cloud platforms such as AWS, Azure, or Google Cloud.

- Familiarity with containerization (Docker) and orchestration tools (Kubernetes).

- Strong understanding of CI/CD pipelines and DevOps best practices.

- Excellent problem-solving skills and a growth mindset.

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Desirable Skills:

- Experience in managing large datasets and understanding of ETL processes.

- Knowledge of network configurations, database design, and distributed systems.

- Familiarity with agile methodologies and collaborative tools like JIRA and Confluence.

- Strong written and verbal communication skills.