Machine Learning Engineer

5 - 7 years

5 - 8 Lacs

Posted:Just now| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Design, develop, and deploy end-to-end machine learning solutions across business applications.
  • Build and optimize ML pipelines for training, fine-tuning, testing, deployment, and monitoring of models.
  • Integrate and customize LLMs (Large Language Models) within enterprise workflows and agentic solutions.
  • Collaborate with DevOps and MLOps teams to ensure scalability, reliability, and automation of ML systems.
  • Lead initiatives to mentor and upskill team members in ML development and best practices.
  • Develop APIs and services for seamless integration of AI models into production systems.
  • Partner with business teams to translate requirements into ML-driven solutions (chatbots, labor estimation, recommendation systems, etc.).
  • Stay at the forefront of AI/ML research and tools to inform architectural and business decisions.
Will you fit in
  • Our employees fearlessly embrace the company culture and applicants who merely want to punch in their timecards everyday are not what we are looking for.
  • You can work independently with minimal guidance but aren t afraid to ask the right questions when you need help.
  • You have strong verbal and written communication skills and can be the face of our company to our clients.
  • You are passionate about learning and sharing knowledge with your team to improve the entire team.
Does experience count
  • 5+ years of professional experience in Machine Learning Engineering or Applied AI roles.
  • Strong knowledge of ML frameworks (PyTorch, TensorFlow, Scikit-learn).
  • Hands-on experience with LLMs, generative AI , fine-tuning, and prompt engineering.
  • Experience with MLOps (CI/CD for ML, monitoring, retraining).
  • Experience with data pipelines, feature engineering, and model performance optimization .
  • Solid software engineering background (C#, Python, JavaScript/React, ASP.NET, Git).
  • Proven ability to deploy ML models to cloud platforms (AWS, Azure, GCP) and use their AI/ML services.
  • Familiarity with enterprise tools like Microsoft D365, Business Central , or ability to learn quickly.
  • Excellent communication skills, customer-first mindset, and ability to work independently while mentoring others.
  • Experience building agentic solutions from scratch is a plus

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