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описание
ML Ops Engineer
Description -
This role is responsible for applying advanced AI techniques—including machine learning and natural language processing—to solve complex problems and design novel algorithms. Leads independent research, develops systems for tasks like translation and sentiment analysis, and optimizes predictive models. Exercises sound judgment in managing projects and creatively resolving challenges, while documenting and sharing findings with peers.
задачи
Solve difficult and sometimes complex problems using advanced AI technologies such as ML and NLP.
Conduct experimental research independently with limited supervision to advance AI.
Apply seasoned professional expertise to resolve a wide range of issues creatively.
Analyze situations or data requiring new perspectives on existing solutions.
Lead the design and implementation of novel algorithms and AI solutions.
Develop systems for complex tasks like language translation, sentiment analysis, and speech recognition.
Implement and optimize algorithms for machine learning and predictive analytics.
Document and share research processes and findings within the team.
Manage projects and processes independently with limited supervision.
Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
требования
4-7 year of experience
Bachelor’s degree in engineering, computer science, information technology or a related field.
NA
Programming Languages
Python (Programming Language)
Machine Learning & Deep Learning
Natural Language Processing (NLP)
Data Engineering
MLOps
Cloud Platforms
Algorithm Design
Generative AI & LLMs
AI Ethics
Product Thinking
Collaboration & Communication
Analytical skills
AI agents - agentic systems
Statistical Modeling
Critical Thinking.
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity
Impact & Scope
Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.
Complexity
Responds to moderately complex issues within established guidelines.
