ML Engineer

ML Engineer job profile

• Machine Learning is a field of artificial intelligence that focuses on developing systems that can learn
• and improve from experience.
• Machine Learning Engineers work on creating and implementing AI models and algorithms to solve
• complex problems.
• This role often involves working with large datasets, developing algorithms, and deploying models
• into production environments.
• ML Engineer job description
• We are seeking an enthusiastic and motivated Machine Learning Engineer with 1-3 years of
• experience to join our team. As a Machine Learning Engineer, you will be responsible for designing,
• building, and maintaining machine learning models with a focus on Generative AI, Large Language
• Models (LLMs), and Natural Language Processing (NLP). You will use your skills and knowledge to
• tackle real-world challenges and contribute to the advancement of AI technology.

ML Engineer duties and responsibilities

• Design, develop, and implement efficient and scalable machine learning models and algorithms
• Work closely with software engineers to integrate ML models into production systems
• Implement and optimize NLP algorithms and pipelines
• Optimize and fine-tune existing models for improved performance
• Contribute to the research and implementation of state-of-the-art GenAI techniques
• Participate in the full machine learning lifecycle, from data preparation to model deployment
• Collaborate with cross-functional teams to identify and solve complex business problems using AI
• Stay up-to-date with the latest advancements in ML, especially in GenAI, LLMs, and NLP
• Document your work, including model architectures, experiments, and results

Must have skills

• C++ Programming: Proficiency in writing efficient, modular, and maintainable C++ code, including
• knowledge of advanced features such as templates, STL, and memory management, and
• implementation of data structures, algorithms, object-oriented programming principles, and design

• Visual Studio: Experience using Visual Studio IDE for C++ development, including project
• management, debugging, and performance profiling.

• VC++ : Background in Visual C++, including building applications for Windows platforms, integrating
• with Windows APIs, etc
• Database Management: Experience working with relational databases (e.g., SQL Server, MySQL)
• and proficiency in writing efficient SQL queries, database design, and optimization.

Good to have skills

• File System Knowledge: Understanding of different file systems such as FAT (File Allocation Table), APFS
• (Apple File System), and NTFS (New Technology File System), and their structures, features, and limitations.
• Low-Level APIs: Familiarity with low-level APIs for system-level programming, including filesystem APIs,
• device drivers, and system calls.
• Understanding of memory management, I/O operations, and concurrency control at a low level.