Description

You will design, architect, and develop software solutions and machine learning models for production systems.

Responsibilities

• Design and implement machine learning models including NLP and computer vision applications.
• Translate business requirements into technical ML problems and integrate models for predictive analytics.
• Develop scalable, efficient, and robust machine learning pipelines and systems.
• Integrate ML models into production systems alongside data scientists and software engineers.
• Identify technical issues and provide resolution within an Agile delivery environment.

Required Skills

• 2+ years of experience as a Machine Learning Engineer, AI Engineer, or similar role.
• Proven experience using LLM models in real-time projects.
• Proficiency in writing software in Python, Scala, R, or similar languages.
• Solid understanding of machine learning algorithms (supervised, unsupervised, deep learning, reinforcement learning).
• Familiarity with cloud platforms (AWS, Google Cloud, Microsoft Azure) for deploying models at scale.
• Strong foundation in data structures, algorithms, and software design patterns.
• Experience with NoSQL databases.
• BE or Master’s degree in Computer Science.

Preferred Skills

• Experience with Speech-to-Text (STS) and Automated Speech Recognition (ASR) engines.
• Expertise with big data technologies and data manipulation.

Key Skills

Education

BE / Master’s in computer science