AIML Architect

Job Description

Responsibilities: Architect AI/ML and data engineering solutions, including large-scale data curation, transformation, and processing. Lead EDA and data transformation processes, establishing best practices for data preparation across projects. Mentor junior engineers, oversee MLOps pipeline setup, and ensure scalable AI/ML deployments. Technical Competencies: Programming: Advanced skills in Python and R for data engineering and model deployment. Advanced Data Engineering: Expertise in ETL processes, data curation, EDA, and distributed data processing tools (e.g., Spark, Hadoop). ML and Deep Learning: Advanced proficiency with frameworks like TensorFlow, PyTorch, and experience with NLP or computer vision. MLOps and Cloud Services: Proficiency in deploying and managing AI solutions on cloud platforms and using MLOps tools. Data Science Platforms: Experience with Dataiku, Databricks, and Azure ML or similar technologies for large-scale data handling and analysis. Qualifications: Must Have: Master s degree or higher in AI, Data Science, or related field. 6-10 years of experience in AI/ML, with strong expertise in data engineering and big data processing. Nice to Have: Publication experience in AI/ML or data engineering topics. Hands-on experience with OpenAI API, Nvidia AI frameworks, and knowledge of SQL and cloud databases. Has context menu