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AI/ML Engineer

  • Source: LinkedIn
  • EAZYGURUS IT TRAINING
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

Location: Hyderabad

Experience: 2–5 Years

Employment Type: Full-time

About The Role We are looking for a skilled AI/ML Engineer to design, develop, and deploy machine learning and AI solutions. You will work closely with data scientists, product teams, and engineers to build scalable, high-performance AI models that solve real-world problems.

Key Responsibilities

  • Design, develop, and deploy machine learning models and AI solutions
  • Build and optimize data pipelines for model training and inference
  • Work on supervised and unsupervised learning, NLP, or computer vision use cases
  • Evaluate, tune, and improve model performance
  • Deploy models into production and collaborate with MLOps teams
  • Monitor model performance and retrain models as needed
  • Collaborate with cross-functional teams to translate business needs into AI solutions
  • Document models, experiments, and processes

Required Skills & Qualifications

  • 2–5 years of experience in AI/ML engineering or related roles
  • Strong programming skills in Python
  • Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Solid understanding of machine learning algorithms and statistics
  • Experience with data processing libraries (Pandas, NumPy)
  • Knowledge of SQL and data handling techniques
  • Experience deploying ML models in production environments

Good to Have

  • Experience with NLP, Computer Vision, or Generative AI
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Exposure to MLOps tools and practices
  • Experience with APIs, microservices, and containerization

What We Offer

  • Opportunity to work on cutting-edge AI and ML projects
  • Collaborative and innovation-driven work environment
  • Career growth and learning opportunities

Skills

  • Python
  • Tensorflow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform

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