Senior Software Engineer

1 week ago

Bengaluru, Karnataka, India Info Edge Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Role: We are seeking a talented and driven AI Engineer with 1-3 years of experience to lead the development of cutting-edge AI solutions. In this role, you will work on solving complex NLP problems, building AI-powered applications like chatbots, ranking systems, and recommendation engines, and driving end-to-end machine learning projects. You will collaborate with cross-functional teams to deliver scalable, production-ready AI systems that address real-world challenges.

Responsibilities:

  • Solve real-world NLP problems using Generative AI and traditional Machine Learning techniques.
  • Build AI-powered applications such as chatbots, ranking systems, and recommendation engines.
  • Design and deploy end-to-end ML pipelines, including prototyping, prompt tuning, result analysis, and iterative fine-tuning.
  • Develop and deploy microservices integrated with databases (e.g., MySQL, MongoDB) to support AI-driven solutions.
  • Implement and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced AI capabilities.
  • Collaborate with product and application teams to understand use cases and deliver tailored solutions.
  • Ensure seamless integration of AI/ML models into production systems with scalability and reliability.

Requirements:

  • 1-3 years of experience in Machine Learning, Generative AI, and NLP.
  • Strong programming skills in Python, Spark.
  • Hands-on experience with Generative AI, Machine Learning, and NLP
  • Expertise in prompt engineering, result evaluation, and iterative model fine-tuning.
  • Experience building microservices powered by databases like MySQL or MongoDB.
  • Familiarity with RAG pipelines and deploying AI models in production environments.
  • Proven ability to analyze and refine AI/ML approaches based on performance metrics.

Good to have Skills:

  • Experience with Elasticsearch and building search systems (not mandatory).
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Familiarity with containerization tools like Docker and orchestration tools like Kubernetes.
  • Strong understanding of software engineering best practices and scalable system design.

If you are passionate about building innovative AI solutions and driving impactful projects, wed love to hear from you

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