Machine Learning Engineer (ML Ops) - Remote

Overview

As a Machine Learning Engineer at Spekit, you will be part of a small, high-impact team focused on enhancing and scaling ML pipelines, developing and deploying models, and driving innovation in AI/ML solutions.

In Short

• Enhance and scale ML pipelines for real-time data.
• Prototype and tune NLP/LLM pipelines.
• Deploy models to production and monitor performance.
• Clean and preprocess datasets for ML applications.
• Stay updated on AI/ML trends and frameworks.
• Collaborate with cross-functional teams to deliver solutions.
• Mentor team members and foster a collaborative environment.
• Drive experimentation and learning from failures.
• Utilize data to inform decisions and optimize processes.
• Focus on delivering value to customers through ML solutions.

Requirements

• Significant experience in MLOps.
• Strong background in probability, statistics, and algorithmic thinking.
• Expertise in Python and ML libraries.
• Experience with NLP, neural networks, and deep learning.
• Familiarity with A/B testing and model optimization.
• Excellent time management and organizational skills.
• Ability to manage ambiguity and drive projects to clarity.
• Collaborative mindset and eagerness to learn.
• Proficiency in model evaluation and explainability.
• Knowledge of graph databases is a plus.

Benefits

• Opportunity to work in a high-impact ML team.
• Engagement with cutting-edge AI/ML technologies.
• Collaborative and learning-focused work environment.
• Flexible remote work options within specified states.
• Competitive compensation and benefits package.