Role AIML Engineer
Role AIML Engineer
Posted on :
12-10-2024
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Role : AI/ML Engineer
Location : Remote (10 20% Travel as needed)
Duration: Full Time
Job Description:
Mandatory Skills:
- Proficiency in Python TensorFlow PyTorch Scikitlearn
- Experience with cloud platforms like AWS GCP or Azure
- 58 years of experience in AI/ML development
Key Responsibilities:
- Design develop and deploy machine learning models and algorithms to solve complex business challenges.
- Collaborate with crossfunctional teams including data scientists software engineers and product managers to implement AI/ML solutions in realworld applications.
- Analyze large datasets to extract meaningful insights and identify opportunities for optimizing processes and systems.
- Develop and maintain AI/ML pipelines ensuring scalability reliability and efficiency.
- Work closely with the engineering team to integrate models into production systems.
- Stay updated on the latest AI/ML trends tools and techniques to continually enhance the companys technology stack.
- Optimize model performance and accuracy through testing validation and model tuning.
- Contribute to code reviews technical documentation and overall system architecture design.
Required Qualifications:
- 58 years of professional experience in AI/ML engineering or related roles.
- Strong proficiency in programming languages such as Python R or Java.
- Handson experience with machine learning frameworks and libraries such as TensorFlow PyTorch or Scikitlearn.
- Experience with data preprocessing feature engineering and model evaluation techniques.
- Familiarity with cloud platforms like AWS Google Cloud or Azure for AI/ML deployment.
- Solid understanding of statistical analysis probability and data modeling.
- Experience working with largescale data processing tools like Hadoop Spark or similar frameworks.
- Strong problemsolving skills and a datadriven approach to decisionmaking.
Preferred Qualifications:
- Experience with natural language processing (NLP) or computer vision.
- Familiarity with containerization technologies (Docker Kubernetes) for AI/ML model deployment.
- Prior experience working in an agile development environment.
- Experience in working with MLOps pipelines and tools.
Employment Type
Full Time
Key Skills
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