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Mid-level ML title, Bangalore metro, broad required skillset, and popular role increase candidate competition.
Specialized ML engineering, model deployment, and cloud skills require domain-specific experience, limiting transferability.
Explicit 5+ years minimum plus mandatory ML model deployment and cloud skills enforce strict filtering.
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Develop, implement, and optimize machine learning solutions focusing on performance, scalability, and production efficiency.
Lead small to medium ML projects while owning specific components of the ML solution.
Collaborate with engineers for integration, platform upgrades, and automated testing; provide technical documentation and cross-functional training.
5+ years total experience with at least 2+ years in data science, software development, or data engineering.
Bachelor's degree in engineering or equivalent.
Experience in AI model development, training, scoring, deployment, and ML optimization.
Not explicitly mentioned: Notice period or strict location requirements.
Experienced in Python and ML frameworks (TensorFlow, PyTorch, XgBoost, Scikit-learn, Spark ML); proficient with versioning tools like Git and MLFlow.
Familiar with cloud platforms (Azure, Databricks) and data analytics tools (Spark, Pandas).
Strong capability in ML model management, software testing, continuous integration, distributed computing, and advanced AI/Neural Network models.