MLOps Engineer - Deep Learning

Application Development & Deployment (MLOps) :

Architect and implement scalable data pipelines for ingestion, cleaning, transformation, and feature engineering of large, complex automotive datasets.

Develop robust and efficient code for model training, inference, and deployment within a production environment.

Implement MLOps best practices for model versioning, monitoring, retraining, and performance management to ensure the continuous accuracy and reliability of the forecasting application.

Collaborate closely with Data Engineering, Software Development, and IT Operations teams to ensure seamless integration, deployment, and maintenance of the application.

Analytical Prowess : Deep understanding of statistical inference, experimental design, causal inference, and the mathematical foundations of machine learning algorithms.

Problem Solving : Proven ability to analyze complex, ambiguous problems, break them down into manageable components, and devise innovative solutions.

Preferred Qualifications :

• Publications in top-tier conferences or journals related to forecasting, time series analysis, or applied machine learning.
• Experience with real-time forecasting systems or streaming data analytics.
• Familiarity with specific automotive data types (e.g., telematics, vehicle sensor data, dealership data, market sentiment).
• Experience with distributed version control systems (e.g., Git).
• Knowledge of agile development methodologies.

Soft Skills :

Exceptional Communication : Ability to articulate complex technical concepts and insights to a diverse audience, including senior management and non-technical stakeholders.

Collaboration : Strong interpersonal skills and a proven ability to work effectively within cross-functional teams.

Intellectual Curiosity & Proactiveness : A passion for continuous learning, staying ahead of industry trends, and proactively identifying opportunities for improvement.

Strategic Thinking : Ability to see the big picture and align technical solutions with overall business objectives.

Mentorship : Desire and ability to guide and develop less experienced team members.

(ref : hirist.tech)