AI Innovator

2 weeks ago

Morādābād, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 20,00,000 - ₹ 25,00,000
Job Title:

Machine Learning Engineer

Job Description

This role involves the design, development, and deployment of machine learning models that focus on practical implementation of artificial intelligence solutions.

The ideal candidate will have experience with developing and deploying generative AI models using services like AWS Bedrock. They should also possess a solid understanding of software development practices and be proficient in writing clean, well-documented, and testable code.

The successful individual will work with data scientists, software engineers, and other stakeholders to develop and deploy machine learning systems.

Key aspects of the job include designing and developing machine learning systems and models, researching and implementing suitable algorithms and tools, selecting and preparing datasets for training and testing, and training and retraining models as needed.

Data Handling
  • Analysing and preprocessing data for model training is crucial.
  • Building and maintaining data pipelines for efficient data flow is essential.
  • Identifying and addressing data quality issues is vital.
Deployment and Monitoring
  • Deploying models to production environments requires careful planning.
  • Monitoring model performance and identifying areas for improvement is a top priority.
  • Managing and maintaining deployed models ensures continuous success.
  • Evaluating potential risks associated with AI/ML use cases and implementing appropriate safeguards is critical.
Collaboration and Communication
  • Effective communication of technical findings and recommendations is key.
  • Understanding business needs and translating them into technical solutions is essential.
Infrastructure and Tools
  • Developing and maintaining the necessary infrastructure for machine learning model deployment is crucial.
  • Staying up-to-date with the latest machine learning tools and technologies enhances productivity.
Problem-Solving
  • Identifying and solving technical challenges related to machine learning model development and deployment is a key responsibility.
  • Analysing model errors and designing strategies to overcome them is essential.
Ethical Considerations
  • Ensuring that AI/ML systems are developed and deployed responsibly and ethically is paramount.
Required Skills:
  • Expertise in developing and deploying generative AI models.
  • Strong understanding of software development practices.
  • Proficiency in writing clean, well-documented, and testable code.
Preferred Qualifications:
  • Experience with AWS Bedrock.
  • Knowledge of machine learning algorithms and tools.

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