Job Description

Job Description: AI/ML Engineer Location: Hyderabad, Telangana, India Experience: 3+ Years About the Team: Join our dynamic and innovative engineering team at Qylis, where we are at the forefront of leveraging Artificial Intelligence and Machine Learning to solve complex challenges and build cutting-edge solutions. We foster a collaborative and growth-oriented environment, encouraging our engineers to explore new technologies and make a significant impact. You will be working alongside talented individuals passionate about pushing the boundaries of AI/ML and delivering impactful products on the Azure cloud platform. Role Overview: We are seeking a highly motivated and experienced AI/ML Engineer to join our team. You will be responsible for designing, developing, and deploying scalable AI/ML models and GenAI applications. Your expertise in Python, web frameworks, machine learning, deep learning, and cloud technologies will be crucial in driving our AI initiatives forward. You will work closely with data scientists, software engineers, and product managers throughout the entire lifecycle of AI/ML projects, from ideation to production deployment and monitoring. Responsibilities: Design, develop, and implement machine learning and deep learning models for various applications, including but not limited to natural language processing, computer vision, predictive analytics, and recommendation systems. Develop and deploy GenAI applications leveraging large language models (LLMs) and other generative techniques. Build and maintain robust and scalable backend systems and APIs using Python frameworks such as FastAPI or Flask to serve AI/ML models and GenAI applications. Containerize applications and services using Docker and orchestrate them using Kubernetes for efficient deployment and scaling on the Azure cloud platform. Utilize Azure cloud services (e.g., Azure Machine Learning, Azure Kubernetes Service, Azure Functions, Azure Blob Storage) to build and deploy AI/ML solutions. Collaborate with data scientists to understand data requirements, perform feature engineering, and evaluate model performance. Work closely with software engineers to integrate AI/ML models and GenAI applications into existing and new products and services. Implement and maintain CI/CD pipelines for automated building, testing, and deployment of AI/ML solutions. Monitor the performance and stability of deployed models and applications, troubleshoot issues, and implement necessary optimizations. Stay up-to-date with the latest advancements in AI/ML, GenAI, and cloud technologies and evaluate their potential application within the company. Contribute to the development of best practices and standards for AI/ML development and deployment within the team. Participate in code reviews and contribute to improving the overall code quality and maintainability. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum of 3 years of professional experience in developing and deploying AI/ML solutions. Strong proficiency in Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, and Transformers. Hands-on experience with at least one Python web framework (FastAPI or Flask) for building APIs and backend services. Solid understanding of machine learning algorithms, deep learning architectures, and GenAI concepts. Experience with containerization technologies (Docker) and orchestration platforms (Kubernetes). Proven experience working with the Azure cloud platform and its AI/ML and container services. Familiarity with data engineering concepts and tools for data processing and preparation. Experience with CI/CD pipelines and DevOps practices. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Preferred Qualifications: Experience with MLOps practices and tools for managing the ML lifecycle. Familiarity with other cloud platforms (e.g., AWS, GCP). Experience with specific AI/ML application domains (e.g., NLP, computer vision, time series analysis). Contributions to open-source AI/ML projects. Relevant certifications in AI/ML or cloud technologies.