Gen AI Developer - C

Job Description

YOUR ROLE:

• Platform Development: Lead the design and development of a scalable AI platform, ensuring high performance and reliability.
• MLOps: Implement and optimize MLOps practices to streamline the machine learning lifecycle, from development to deployment and monitoring.
• Standardization: Establish and enforce best practices for machine learning model development, testing, and deployment.
• Infrastructure Setup: Oversee the setup and management of GPU and cloud platforms to support AI workloads.
• Data Integration: Design and implement robust data integration pipelines to ensure seamless access to diverse data sources.
• Collaboration: Work closely with data scientists, software engineers, and platform engineers to deliver high-quality AI solutions.
• Innovation: Stay abreast of the latest advancements in AI and machine learning, and apply this knowledge to improve our platform and processes.
• Mentorship: Provide technical guidance and mentorship to junior engineers and team members.

YOUR PROFILE:

• Experience: 8-10 years of experience in AI and machine learning engineering, with a proven track record of delivering complex AI projects.
• Technical Expertise: Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), MLOps tools (e.g., MLflow, Kubeflow), and cloud platforms and infrastructure as code (e.g., AWS, Azure).
• GPU Expertise: Hands-on experience with GPU computing and optimization for AI workloads.
• Programming Skills: Proficiency in programming languages such as Python, Java, or C++.
• Data Engineering: Strong skills in data engineering, including data integration, ETL processes, and working with large datasets.
• Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively.
• Communication: Strong interpersonal and communication skills, with the ability to work effectively in a collaborative team environment.

Skills (competencies)