Role AIML Engineer

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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.