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Wallero Technologies - AI / ML Engineer - Predictive Modeling / Generative AI

Wallero Technologies - AI / ML Engineer - Predictive Modeling / Generative AI

WALLERO TECHNOLOGIES PRIVATE LIMITEDHyderabad
8 days ago
Job description

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)

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