AI/ML Engineer

Company Description Autom8AI is an AI-powered automation company focused on helping businesses reduce repetitive work and focus on high-impact initiatives. The platform transforms everyday business processes into intelligent, automated workflows across marketing, customer communication, operations, and productivity. By integrating AI into core business functions, Autom8AI enables teams to save time, reduce operational costs, and scale efficiently. Prospective team members join a product-driven environment that values innovation, practical problem-solving, and measurable results.
Role Description This is a full-time, on-site AI/ML Engineer role based in Aligarh. The AI/ML Engineer will design, develop, and deploy machine learning models that power Autom8AI’s automation platform, focusing on pattern recognition, predictive analytics, and intelligent decision-making. Day-to-day responsibilities include researching and prototyping new algorithms, building and optimizing neural network architectures, cleaning and preparing datasets, and evaluating model performance using statistical methods. The role also involves collaborating with product and engineering teams to integrate ML solutions into production systems, monitoring their performance, and iterating to improve accuracy, efficiency, and scalability. The engineer will contribute to documentation, code reviews, and best practices for reliable, maintainable ML pipelines.
Qualifications
Strong foundation in Computer Science and Algorithms, with experience in data structures, complexity analysis, and software engineering principles.
Proficiency in Pattern Recognition and Neural Networks, including experience building and training models for real-world applications.
Solid understanding of Statistics, probability, and experimental design for model evaluation and performance analysis.
Experience with common ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn) and programming in Python or a similar language.
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
Experience deploying models to production environments, working with APIs, and optimizing runtime performance.
Ability to work collaboratively in a cross-functional team, communicate technical concepts clearly, and write clean, well-documented code.
Familiarity with cloud platforms (such as AWS, GCP, or Azure), MLOps practices, and version control (e.g., Git) is a strong plus.

Work arrangement
No