Associate Software Engineer

1 week ago

Lahore, Punjab, Pakistan Devsinc Full time 400,000 - 800,000 per year

Devsinc is seeking an Associate AI Engineer who is passionate about building intelligent, production-grade AI solutions. In this role, you will work across the full machine learning lifecycle, from data pipelines to deploying scalable models and generative AI systems. You will have the opportunity to work on projects ranging from classic predictive models to cutting-edge LLM-powered applications. Passionate about MLOps and AI innovation? This is your perfect career kickstart

Responsibilities

  • Design, develop, and productionize machine learning models for classification, recommendation, and forecasting.
  • Build and deploy scalable APIs and containerized services using Docker.
  • Explore and implement Generative AI solutions, including RAG pipelines and agentic workflows with frameworks like LangChain/LangGraph.
  • Engineer robust data pipelines to source, process, and feature-engineer data from SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
  • Contribute to MLOps infrastructure, including CI/CD pipelines for training, validation, deployment, and monitoring.
  • Collaborate with cross-functional teams to integrate AI-driven solutions into production systems.
  • Stay up-to-date with industry trends in traditional ML, Generative AI, and MLOps practices.

Requirements

  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 6 months to 1 year of relevant experience (freelancing, or full-time).
  • Proficiency in Python with a strong grasp of Object-Oriented Programming (OOP).
  • Solid foundation in traditional ML concepts and libraries (e.g., scikit-learn, pandas).
  • Hands-on experience with the LLM ecosystem (LangChain, LangGraph, Hugging Face, OpenAI APIs).
  • Skilled in working with relational and non-relational databases (PostgreSQL, MongoDB).
  • Experience deploying applications via REST APIs and containerization tools like Docker.
  • Understanding of the end-to-end ML lifecycle, from data sourcing to monitoring.
  • Strong problem-solving skills, a production-first mindset, and eagerness to learn emerging AI trends.
  • Collaborative – open to knowledge-sharing and teamwork.
  • Team Player – willing to support peers and contribute to collective success.
  • Growth Minded – eager to learn, improve, and adapt to emerging technologies.
  • Adaptable – flexible in dynamic, fast-paced environments.
  • Customer-Centric – focused on delivering solutions that create real business value.

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