AI/ML Architect

3 weeks ago

delhi, 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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