AI Engineering Specialist

2 days ago

Bikaner, Rajasthan, India beBeeMachineLearning Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Job Description:

We are seeking a skilled and ambitious Machine Learning Engineer to join our team. The successful candidate will have 4-10 years of experience in developing and deploying cutting-edge machine learning solutions.

  • Collaborate with data scientists, model developers, software engineers, and other stakeholders to translate business needs into technical solutions.
  • Experience of having deployed ML models to production
  • Create high performance real-time inferencing APIs and batch inferencing pipelines to serve ML models to stakeholders.
  • Integrate machine learning models seamlessly into existing production systems.
  • Continuously monitor and evaluate model performance and retrain the models automatically or periodically
  • Streamline existing ML pipelines to increase throughput.
  • Identify and address security vulnerabilities in existing applications proactively.
  • Design, develop, and implement machine learning models for preferably insurance related applications.
Requirements:

The ideal candidate will possess excellent technical skills, a passion for innovation, and a strong work ethic. Key requirements include:

  • Strong knowledge of machine learning algorithms and libraries (e.g., TensorFlow, PyTorch)
  • Well versed with Azure ecosystem
  • Knowledge of NLP and Generative AI techniques
Benefits:

As a valued member of our team, you can expect:

  • A comprehensive benefits package designed to support your health, well-being, and professional growth.
  • Flexible work options and generous paid time off.
  • Robust health coverage, including treatment for dental and vision related requirements.
  • Continuous learning opportunities and career advancement programs.
About Us:

At [Company Name], we pride ourselves on fostering a culture of greatness where excellence is a mindset and a way of being. We strive to be industry leaders by embracing innovation, agility, and a start-up culture that empowers employees to drive results that matter.

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