hirly
Sign inGet started free

cognine

Machine Learning Engineer (AWS)

Location unstated

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at cognine first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 2.5M live jobs from 200,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

See how it works

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Role family
Data & ML
Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
23 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

We are seeking a Senior Machine Learning Engineer to support a data science team that is utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create production-level systems through the application of machine learning models.

What you'll do:

  • Create frameworks to predict a variety of outcomes in different scenarios
  • Create models of customer satisfaction that provide detailed insight into what causes a customer to take different actions
  • Collaborate with other data scientists and stakeholders on projects
  • Develop solutions in Python
  • Develop production-grade solutions
  • Work in Hadoop, Redshift, and Spark
  • Translate business and product questions into analytics projects
  • Communicate clearly over written and oral channels while translating complex methodologies and analytical results into high-level insights

Qualifications:

  • 5-10 years of experience in a data science or machine learning (MLOps) role
  • 3+ years of experience with Python in a production environment
  • 3+ years building statistical models/evaluating/feature selection in a high-impact role
  • Strong experience with AWS, AWS Glue, and SageMaker
  • Strong experience with Terraform
  • Knowledge of professional enterprise software development and practices, including software lifecycle, best coding practices, version control, architecture, testing, and deployment
  • Familiarity with popular machine learning libraries and frameworks, including TensorFlow, Keras, etc.
  • Knowledge of statistics and Machine Learning techniques
  • Experience with GitHub
  • Experience building data pipelines
  • Excellent verbal and written communication skills

Preferred:

  • Master's degree/PhD in computer science or related field
  • Ability to build enterprise templates
  • Ability to model dashboards
  • Ability to monitor models in production
  • Azure DevOps
  • Ability to implement best practices.
Original posting on cognine's site ↗

Similar jobs

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job