Associate Software Engineer- AI/ML

Devsinc is looking for a passionate Associate Software Engineer – AI/ML to join our growing engineering team. In this role, you will contribute to the design, development, and deployment of AI and Machine Learning solutions that solve real-world business problems. You will work alongside experienced engineers, data scientists, and cross-functional teams to build intelligent applications, optimize machine learning models, and leverage modern AI technologies, including Generative AI and Large Language Models (LLMs). Responsibilities - Develop, test, and maintain AI/ML applications and intelligent software solutions. - Build, train, evaluate, and optimize machine learning and deep learning models. - Work with structured and unstructured datasets for data preprocessing, feature engineering, and model development. - Design and implement scalable backend services to integrate AI models into production applications. - Develop and consume RESTful APIs for AI-powered applications. - Collaborate with software engineers, data scientists, product managers, and stakeholders to deliver AI-driven solutions. - Implement and optimize NLP, Computer Vision, or Predictive Analytics models based on project requirements. - Work with Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG) pipelines where applicable. - Monitor, evaluate, and improve model performance, accuracy, and scalability. - Write clean, maintainable, and well-documented code following software engineering best practices. - Debug, troubleshoot, and resolve issues across AI/ML pipelines and deployed applications. - Participate in code reviews and contribute to continuous improvement of engineering standards. - Stay up to date with emerging AI technologies, frameworks, and industry best practices. - Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field. - 0–6 months of experience (including internships, academic projects, or freelance experience). - Good understanding of Python programming. - Basic knowledge of Machine Learning concepts and algorithms. - Familiarity with at least one ML framework such as Scikit-learn, TensorFlow, or PyTorch. - Basic understanding of data structures, algorithms, and object-oriented programming. - Familiarity with SQL and databases. - Basic knowledge of Git and version control. - Understanding of REST APIs is a plus. - Strong analytical and problem-solving skills. - Excellent communication and willingness to learn. Nice to Have - Internship or academic project experience in AI/ML. - Exposure to Generative AI or Large Language Models (LLMs). - Familiarity with Prompt Engineering. - Knowledge of LangChain, LlamaIndex, or similar AI frameworks. - Basic understanding of Docker or cloud platforms (AWS, Azure, or GCP). - Experience participating in hackathons, Kaggle competitions, or open-source projects. - Provident Fund - Medical Inpatient & Outpatient Facilities - Paid Overtime - In-house Subsidized Lunch & Dinner - Gym Facility - Engaging Company Activities - Sports Allowance