AI/ML Engineer (Q - 2, 2026 )

Requirements

• Key Responsibilities Design, build, and deploy machine learning models (supervised, unsupervised, deep learning) Develop and optimize data pipelines for model training and inference Implement and maintain production-ready ML systems (MLOps) Work with large datasets: data cleaning, feature engineering, transformation Evaluate model performance and continuously improve accuracy and efficiency Collaborate with cross-functional teams to integrate ML solutions into products Stay updated with the latest advancements in AI/ML and apply them when relevant Required Skills & Qualifications Strong programming skills in Python (preferred), or Java/Scala
  

• Familiarity with cloud platforms: AWS, Google Cloud Platform, Microsoft Azure Understanding of MLOps tools (Docker, Kubernetes, CI/CD pipelines)
  


• Preferred Qualifications Experience with NLP, Computer Vision, or Generative AI Knowledge of big data tools (Spark, Hadoop) Experience with APIs and microservices architecture Familiarity with model monitoring and deployment frameworks
  

Benefits