Location
Bengaluru, India, India
Posted
July 27, 2026
Job Description
+ 6+ years of experience in, Data Engineering & ML OPS, with strong exposure to real-world, production-grade models.
+ Lead development of AI solutions using supervised, unsupervised, and reinforcement learning techniques.
+ Collaborate with data scientists, software engineers, and product teams to translate business requirements into intelligent systems.
+ Optimize model performance, latency, and resource utilization for production-grade deployments.
+ Evaluate and integrate third-party AI services, frameworks, and APIs where appropriate.
+ Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, XGBoost).
+ Experience with NLP, Computer Vision, Time Series Forecasting, and Recommendation Systems.
+ Deep understanding of data preprocessing, feature engineering, and model evaluation techniques.
+ Hands-on experience with MLOps tools (MLflow, Kubeflow, SageMaker, Azure ML).
+ Exposure to LLMs and generative AI frameworks (Hugging Face ...
+ Lead development of AI solutions using supervised, unsupervised, and reinforcement learning techniques.
+ Collaborate with data scientists, software engineers, and product teams to translate business requirements into intelligent systems.
+ Optimize model performance, latency, and resource utilization for production-grade deployments.
+ Evaluate and integrate third-party AI services, frameworks, and APIs where appropriate.
+ Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, XGBoost).
+ Experience with NLP, Computer Vision, Time Series Forecasting, and Recommendation Systems.
+ Deep understanding of data preprocessing, feature engineering, and model evaluation techniques.
+ Hands-on experience with MLOps tools (MLflow, Kubeflow, SageMaker, Azure ML).
+ Exposure to LLMs and generative AI frameworks (Hugging Face ...