Machine Learning Engineer

Job Title: AWS AI/ML Developer

Experience:

Location:

Employment Type:

About the Role:

AWS AI/ML Developer

Key Responsibilities:

• Design, build, and deploy AI/ML models using

  AWS Sagemaker, CloudFormation, IAM, Secrets Manager, CloudWatch, S3, Step Functions

  .
• Develop and optimize

  CI/CD pipelines

  for AI/ML applications.
• Work with

  large-scale structured and unstructured datasets

  for model training and deployment.
• Apply

  AI/ML algorithms and frameworks

  (TensorFlow, PyTorch, etc.) to real-world problems.
• Implement

  NLP-based solutions

  and optimize their performance.
• Write efficient code in

  Python, SQL, Spark, PySpark, Unix Shell/Perl scripting

  .
• Collaborate with cross-functional teams to define requirements and deliver AI/ML solutions.
• Monitor and troubleshoot deployed models, ensuring scalability and performance.

Required Skills & Qualifications:

• 3+ years of experience

  in AWS AI/ML development.
• Strong knowledge of

  Python and SQL

  .
• Hands-on expertise in

  Spark, PySpark, Unix Shell/Perl scripting

  .
• Strong hands-on experience with

  AWS services

  : Sagemaker, CloudFormation templates & deployment, IAM, Secrets, CloudWatch, S3, Step Functions.
• Experience with

  AI/ML algorithms and NLP techniques

  .
• Proficiency in frameworks like

  TensorFlow, PyTorch

  .
• Hands-on experience in

  CI/CD pipeline development

  .
• Good to have: Knowledge of

  Bitbucket and Bamboo deployment

  .

Soft Skills:

• Critical thinker with strong problem-solving skills.
• Ability to work independently or in a collaborative team environment.
• Self-motivated, with a positive attitude.
• Strong research and analytical mindset.
• Ability to work under tight deadlines and deliver results