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Machine Learning Engineer - Python/Tensorflow

4-5 Years
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Job Description

Key Responsibilities

  • Conduct feature engineering, data analysis, and data exploration to extract valuable insights
  • Develop and optimize machine learning models for high accuracy and performance
  • Design and implement deep learning models such as ANN, CNN, and reinforcement learning techniques
  • Handle real-time imbalanced datasets and apply techniques to improve model fairness and robustness
  • Deploy models in production environments and ensure continuous monitoring and updates
  • Collaborate with cross-functional teams to align ML solutions with business goals
  • Apply statistical and mathematical principles to ensure model reliability
  • Integrate latest advancements in ML/AI to drive innovation

Requirements

  • 4–5 years of hands-on experience in machine learning and deep learning
  • Expertise in feature engineering, data exploration, and preprocessing
  • Experience working with imbalanced datasets and improving model generalization
  • Proficiency in Python, TensorFlow, Scikit-learn, and other ML libraries
  • Strong foundation in mathematics, statistics, and problem-solving
  • Ability to optimize models for real-world performance

Preferred Qualifications

  • Experience with Big Data technologies like Hadoop and Spark
  • Familiarity with Docker, Kubernetes, and containerization tools
  • Knowledge of MLOps practices and automating ML pipelines
  • Experience deploying models on cloud platforms such as AWS, GCP, or Azure

More Info

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Open to candidates from:
Indian

About Company

We are an Engineering company with leading capabilities in Digital Transformation, Internet-related services and products, Data Science, Development Operations, Product as a Service, Technology Consulting, and Software Engineering. We are trusted by NSE giants as a digital transformation partner and have a proven track record in providing customized digital solutions across industry segments. To know more visit us at www.vayuz.com VAYUZ DNA: We believe that great products require a product-thinking DNA. Our approach starts with putting the customer first and runs through everything we do—from the development process to the product design methodology, every line of code we write, and the way our team collaborates with clients. This strong foundation allows us to deliver innovative, scalable, and robust technology solutions. Key Mantras: - Respect TIME: We value time and are committed to delivering on our promises. - PLAN Well: Detailed planning is the cornerstone of our high-quality delivery. - Deliver QUALITY: Excellence in every deliverable is non-negotiable. Core Offerings: - Cloud: Migration, infrastructure management, SaaS, PaaS, IaaS. - Data: Analytics, BI tools, predictive analytics, data-driven decisions. - AI/ML: Automation, models, NLP. - Digital Workplace: Remote work, virtual desktops, employee experience. - IoT: Connected devices, analytics, smart infrastructure. - Mobile/Web: Custom apps, PWAs, mobile-first design. - Legacy Modernization: Upgrades, refactoring, integration. - DevOps/Agile: Implementation, methodology for faster delivery.

Job ID: 122398385