Description

You will design, architect, and develop software solutions and machine learning models for production systems. You translate business requirements into technical ML problems and integrate models for predictive analytics, NLP, computer vision, and recommendation systems. You ensure pipelines are scalable, efficient, and robust while resolving technical issues.

Responsibilities

• Design and implement machine learning models including NLP and computer vision applications.
• Integrate ML models into production systems alongside data scientists and software engineers.
• Develop scalable, efficient, and robust machine learning pipelines and systems.
• Adopt emerging technologies and design patterns to solve complex business problems.
• 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 in big data technologies and data manipulation.

Key Skills

Education

BE / Master’s in computer science