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Senior ML architect in Bangalore with common ML stack and large employer leads to medium competition.
Skills are broadly transferable across industries but require ML architecture and enterprise integration experience, yielding medium sensitivity.
Explicit 8+ years requirement and mandatory high-level proficiency in Python, ML, Spark, Kafka, PostgreSQL increases strictness.
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Architect and design scalable AI/ML solutions using Python, TensorFlow, PyTorch, and scikit-learn across cloud and on-premise environments.
Design and implement distributed data processing pipelines with Apache Spark and Kafka, and integrate machine learning models with PostgreSQL and DataBricks.
Provide strategic technical direction, mentor teams in AI/ML development, and align AI/ML architectures with business needs including RESTful API integrations for enterprise systems.
8+ years total technical experience with 5+ years relevant AI/ML experience.
Strong proficiency in Python and machine learning model development at level 5 competency.
Experience with Kafka, Spark, PostgreSQL, TensorFlow, PyTorch, Pandas, NumPy, and XGBoost.
Willingness to work physically in preferred locations: Noida, Bangalore, Hyderabad, or Chennai; notice period up to 90 days categorized as priority levels.
Experienced in developing and deploying AI/ML models including NLP, deep learning, and time series forecasting across distributed computing environments.
Skilled in building secure and scalable AI/ML architectures with hands-on expertise in distributed data platforms like Spark, Kafka, and Databricks.
Capable of mentoring technical teams and collaborating with stakeholders to align AI/ML technology strategies with business objectives.