AI/ML Engineer – Bangalore

2 weeks ago

Bengaluru, Karnataka, India VectorStack Full time
Company Overview

VectorStack is a dynamic leader in the IT Services and Consulting sector, headquartered in Bangalore. With a team of 51–200 professionals, we deliver high-quality solutions, consulting, and support services, driven by innovation and excellence for our clients. Learn more at 

Job Overview
  • We are seeking a Junior to Mid-level AI/ML Engineer with 2 to 5 years of experience to join our full-time team in Bangalore. In this role, 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.
Qualifications and Skills
  • Proficient in time series analysis, including forecasting techniques and handling complex temporal datasets. (Mandatory)
  • Strong experience with predictive modeling to analyze trends and enable data-driven decisions. (Mandatory)
  • Hands-on expertise in deploying and managing ML models on AWS infrastructure and tools. (Mandatory)
  • Practical knowledge of Apache Kafka for real-time data streaming and scalable data pipelines.
  • Strong programming skills in Python for model development, testing, and deployment.
  • Experience with Flask API for building and deploying ML model endpoints and RESTful services.
  • Knowledge of model optimization techniques to improve predictive performance and efficiency.
  • Strong debugging, troubleshooting, and production maintenance capabilities for AI/ML systems.
  • Demonstrated teamwork, openness to learning new technologies, and strong written and verbal communication skills.
Roles and Responsibilities
  • Develop, implement, and maintain machine learning models, with emphasis on time series forecasting and predictive analytics.
  • Build and optimize scalable data pipelines using Apache Kafka and AWS services.
  • Design, develop, and integrate Flask APIs to serve ML models into production-ready applications.
  • Collaborate with cross-functional teams and stakeholders to translate business requirements into AI-powered solutions.
  • Evaluate models, perform hyperparameter tuning, and apply optimization strategies for maximum efficiency.
  • Deploy, monitor, and maintain ML models in production, addressing data and performance issues proactively.
  • Document methodologies, experiments, and development processes for consistency and knowledge sharing.
  • Stay updated with advancements in AI, ML, and cloud technologies, recommending and implementing new approaches where relevant.

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