Transformative Artificial Intelligence Engineer Position

1 week ago

Anantapur, Andhra Pradesh, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Artificial Intelligence Engineer Opportunity

We're seeking a highly skilled AI/ML Engineer to join our team in Bangalore. As an AI/ML Engineer, you will design, deploy, and optimize machine learning solutions for diverse business challenges. You'll work in an innovation-led environment committed to digital transformation and delivering client success.

Key Responsibilities:
  • Machine Learning Model Development: Develop, implement, and maintain machine learning models, with emphasis on time series forecasting and predictive analytics.
  • Data Pipeline Optimization: Build and optimize scalable data pipelines using Apache Kafka and AWS services.
  • API Integration: Design, develop, and integrate Flask APIs to serve ML models into production-ready applications.
  • Cross-Functional Collaboration: Collaborate with cross-functional teams and stakeholders to translate business requirements into AI-powered solutions.
  • Model Evaluation and Optimization: Evaluate models, perform hyperparameter tuning, and apply optimization strategies for maximum efficiency.
  • Deployment and Maintenance: Deploy, monitor, and maintain ML models in production, addressing data and performance issues proactively.
  • Knowledge Sharing: Document methodologies, experiments, and development processes for consistency and knowledge sharing.
  • Technological Advancements: Stay updated with advancements in AI, ML, and cloud technologies, recommending and implementing new approaches where relevant.
Required Skills and Qualifications:
  • Time Series Analysis: Proficient in time series analysis, including forecasting techniques and handling complex temporal datasets.
  • Predictive Modeling: Strong experience with predictive modeling to analyze trends and enable data-driven decisions.
  • Cloud Infrastructure: Hands-on expertise in deploying and managing ML models on AWS infrastructure and tools.
  • Apache Kafka: Practical knowledge of Apache Kafka for real-time data streaming and scalable data pipelines.
  • Python Programming: Strong programming skills in Python for model development, testing, and deployment.
  • Flask API: Experience with Flask API for building and deploying ML model endpoints and RESTful services.
  • Model Optimization: Knowledge of model optimization techniques to improve predictive performance and efficiency.
  • System Maintenance: Strong debugging, troubleshooting, and production maintenance capabilities for AI/ML systems.
  • Teamwork and Communication: Demonstrated teamwork, openness to learning new technologies, and strong written and verbal communication skills.

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