AI/ML Architect

1 day ago

Indore, Madhya Pradesh, India ignatiuz Full time ₹ 15,00,000 - ₹ 20,00,000 per year

About Us

Ignatiuz is a digital transformation and intelligent workplace consulting company with offices in the US (PA) and India (Indore).

Focused on accelerating digital performance through innovation and automation.

Our team has worked with a variety of Fortune 500 clients and has a track record of delivering reliable, high-quality solutions that drive business success.

Job Description

  • Lead the design and development of robust machine learning and deep learning architectures tailored to solve real-world business challenges.
  • Build and optimize models using frameworks like TensorFlow, PyTorch, and Keras, ensuring high accuracy and performance.
  • Architect and oversee end-to-end data pipelines, including data ingestion, preprocessing, and feature engineering for AI workloads.
  • Research, prototype, and productionize novel algorithms in areas such as computer vision, NLP, and reinforcement learning.
  • Deploy models using cloud platforms (AWS/Azure/GCP), leveraging GPU/TPU infrastructure, and integrating into CI/CD workflows using Docker and other tools.
  • Tune hyperparameters, manage model drift, and implement monitoring to ensure sustained model performance in production.
  • Collaborate with engineering, data science, and product teams to align AI initiatives with business goals.
  • Ensure robust documentation, version control, and adherence to MLOps principles throughout the development lifecycle.
  • Stay ahead of trends in AI/ML and guide the team on best practices, tools, and frameworks.

Requirements

Required Skills and Qualifications:

  • Education:
     Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related technical field.
  • Experience:
     4–5 years of experience in developing and deploying machine learning or deep learning solutions in real-world environments.
  • Technical Expertise:
     Proficient in Python and ML libraries: NumPy, Pandas, Scikit-learn, Matplotlib, etc. Deep experience with TensorFlow, PyTorch, and Keras. Strong grasp of neural networks, CNNs, RNNs, Transformers, and GANs. Experience with GPU/TPU acceleration, model optimization, and distributed training. Familiarity with cloud platforms (AWS, Azure, or GCP) for scalable AI deployments. Hands-on with Docker, version control, and CI/CD tools for deployment automation. Experience in NLP, Computer Vision, or Reinforcement Learning projects is a strong plus.
  • Preferred Traits:
     Strong problem-solving and architectural thinking Ability to work in agile, cross-functional teams Passion for innovation and applying AI to business use cases

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