Vinayaka Steels, Surana Group, Grant Thornton - AI/ML Engineer II

360DigiTMG

5 - 10 years

7 - 12 Lacs

hyderabad chennai bengaluru

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Skills Required

engineer ii architect cloud computing c++ operational excellence time series analysis scheduling apache python predictive maintenance

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Job Type

Full Time

Job Description

Job Description:
Can you harness the power of AI to predict and prevent breakdowns before they disrupt operations? We are seeking an innovative AI/ML Engineer II to develop predictive maintenance solutions that redefine reliability, efficiency, and asset performance across industries.

Your Mission:

Architect Predictive Models : Develop state-of-the-art ML models for failure prediction, leveraging techniques like time-series analysis, anomaly detection, and Bayesian optimization.
Seamless IoT Integration : Design solutions that integrate with IoT ecosystems, collecting and analyzing sensor data in real time to anticipate maintenance needs.
Optimize Maintenance Strategies : Build intelligent systems to minimize downtime, reduce costs, and extend equipment lifecycles through data-driven scheduling.
Scalable AI Pipelines : Design and deploy robust pipelines capable of handling large-scale, high-velocity data streams, ensuring reliable and scalable solutions.
Insights and Automation : Transform raw data into actionable insights using advanced analytics and automation tools to empower decision-makers.

What We re Looking For:

Expertise in Advanced ML : Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, and a deep understanding of unsupervised learning, clustering, and time-series forecasting techniques.
Data Engineering Skills : Proficiency in working with real-time data processing tools like Apache Kafka, Spark, or Flink, and familiarity with databases like Snowflake, DynamoDB, or PostgreSQL.
IoT and Edge Computing : Hands-on experience with IoT platforms and edge computing frameworks, ensuring low-latency, real-time predictions in distributed environments.
Cloud Computing : Expertise in cloud ecosystems such as AWS (IoT Core, SageMaker), GCP, or Azure, with a focus on scaling and deploying AI models.
Strong Programming Skills : Advanced proficiency in Python, with additional skills in C++, or R being a plus.
Domain Knowledge : Familiarity with maintenance workflows, CMMS systems, and industrial protocols (e.g., MQTT, OPC-UA) is highly desirable.

What You ll Achieve:

Build next-generation maintenance systems that reduce unplanned downtime by up to 30%.
Enable clients to transition from reactive to predictive maintenance models, ensuring greater efficiency and reliability.
Develop solutions that seamlessly scale across industrial assets, from factories to energy grids.

Join us in shaping the future of industrial resilience and operational excellence through AI.

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