Wallero Technologies

Description :About the Role :We are seeking a passionate and highly skilled AI/ML Engineer with hands-on experience in Generative AI, Predictive Modeling, and API development. The ideal candidate will design, develop, and deploy intelligent systems and scalable architecturesboth monolithic and microservices-basedthat integrate advanced AI capabilities into production-ready applications.Key Responsibilities :- Design and implement AI/ML solutions for generative and predictive use cases using state-of-the-art models and frameworks.- Develop, train, fine-tune, and optimize machine learning models, including LLMs, transformers, and forecasting models.- Build and deploy RESTful APIs using FastAPI or Flask to serve AI/ML models efficiently.- Containerize applications using Docker and ensure smooth deployment across environments.- Collaborate with data engineers and backend teams to design scalable architecturesmonolithic and microservice-basedfor AI pipelines and APIs.- Integrate APIs and models with frontend systems and ensure performance, security, and maintainability.- Conduct model evaluation, A/B testing, and continuous improvement of deployed AI systems.- Use tools like Postman for API testing and documentation.- Monitor production systems, identify bottlenecks, and optimize for performance and scalability.Required Skills & Qualifications :- Bachelors or masters degree in computer science, AI/ML, Data Science, or related field.- 3+ years of experience in developing and deploying machine learning or AI solutions.- Proven expertise in Generative AI (LLMs, diffusion models, or embeddings) and Predictive AI (forecasting, regression, classification).- Strong proficiency in Python and popular AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn, or Hugging Face Transformers.- Hands-on experience with FastAPI or Flask for model deployment and API design.- Experience with Docker and container-based deployments.- Understanding of software architecture principles, including monolithic and microservices design patterns.- Strong knowledge of REST APIs, Postman, and version control systems (Git).- Familiarity with cloud platforms (AWS, GCP, or Azure) and CI/CD pipelines is a plus.- Excellent problem-solving, debugging, and collaboration skills.- Experience with vector databases, LLM fine-tuning, or retrieval-augmented generation (RAG).- Exposure to data pipelines, message queues, and asynchronous architectures.- Prior experience building AI-powered APIs for production-scale systems. (ref:hirist.tech)