AI Professional

1 week ago

Tirupati, Andhra Pradesh, India beBeeMachineLearning Full time ₹ 1,80,00,000 - ₹ 2,20,00,000

Job Title: Machine Learning Specialist

We are seeking an experienced machine learning specialist to design, implement and maintain scalable and secure cloud solutions for our AI initiatives. The ideal candidate will have hands-on expertise in ML frameworks like TensorFlow or PyTorch.

Key Responsibilities:

  • Understand specific requirements including data ingestion from different services, analytics needs and user-facing application features.
  • Lead technical discussions with cross-functional teams to evaluate feasibility, define specifications and assess performance and scalability for solutions.
  • Define and design software architecture for integrating data pipelines, ML models and full stack applications.
  • Drive deployment of end-to-end solutions, focusing on automation and resilience.
  • Collaborate with cross-functional teams to design and deliver applications combining real-time data, machine learning and cloud-native full-stack platforms.
  • Design, develop and deploy scalable ML models and systems to solve complex business problems.
  • Optimize algorithms for performance, scalability and accuracy.
  • Evaluate and select appropriate ML tools, frameworks and platforms.
  • Work on data preprocessing and model evaluation.
  • Ensure ML systems comply with standards.
  • Contribute to code reviews, documentation and technical presentations.

Required Qualifications:

  • 6-8 years of experience in machine learning development.
  • Hands-on expertise in ML frameworks like TensorFlow, PyTorch or Keras.
  • Hands-on expertise in Python or Java.
  • Experience in cloud platforms AWS or Azure for deploying ML models.
  • Expertise in NLP, deep learning and other AI domains.
  • Understanding of data structures, algorithms and software engineering principles.
  • Excellent problem-solving and collaboration skills.
  • Bachelor's or Master's degree in CS or IT, Engineering, or AI, Machine Learning, Data Science is a must.

Preferred Experience:

  • Experience with MLOps and model deployment pipelines.
  • Containerization (Docker, Kubernetes).
  • Serverless architectures (Lambda).
  • Experience working in Agile/Scrum environments.
  • Experience with disaster recovery and enterprise-level high availability.

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