AI/ML Architect

4 weeks ago

india Dorman Products Full time

Job Summary:

We are seeking a talented and experienced AI/ML Architect to join our team. As a key member of our ML team, you will be responsible for architecting and designing a robust, scalable, and secure end-to-end platform for AI and ML models, including lifecycle management.


Key responsibilities:

  • Responsible for architecting and designing a robust, scalable, and secure end-to-end platform for AI or ML models, inclusive of lifecycle management.
  • Designing and implementing pipelines for Machine learning and artificial intelligence, covering data ingestion, pre-processing, model training, and deployment, utilizing a variety of frameworks, tools, and platforms.
  • Translating business needs and objectives into Machine learning and Artificial intelligence use cases and solutions.
  • Assisting data scientists in evaluating and improving the performance, accuracy, and reliability of machine learning and artificial intelligence models and algorithms.
  • Effectively communicating complex technical concepts and findings to stakeholders from various backgrounds, including business users, data scientists, developers, and operations teams.
  • Collaborating with a diverse range of data stakeholders, such as control and automation professionals, manufacturing operations, product designers, quality assurance, maintenance, data scientists, and business analysts, to enable data-driven decision-making and foster innovation.
  • Researching and adopting new and emerging technologies and methodologies in the machine learning and artificial intelligence domain.
  • Develop and manage the machine learning platform in AWS cloud using MLFlow, EKS, Jenkins, Airflow, etc.,


Qualifications:

  • Minimum of 5 years of experience in Machine learning and Artificial intelligence.
  • Proficiency in Python programming language.
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Strong understanding of statistical concepts and machine learning algorithms.
  • Experience in deploying and managing machine learning models in production environments.
  • Familiarity with cloud platforms such as AWS, including services like Amazon SageMaker, Amazon Rekognition, Amazon Comprehend, etc.
  • Certifications in AI/ML, cloud computing, or DevOps are desirable.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Strong communication and collaboration skills, with the ability to work effectively in interdisciplinary teams.
  • Bachelor’s or master’s degree in Artificial Intelligence, Computer science, data science, or equivalent.


Job Specific Competencies:

  • Team Collaboration
  • Strong Programming skill
  • Data Analysis & Visualization
  • Communication Skill

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