An AI agent that applies to roles like this on employers' own sites. 25 applications free, no card needed.
Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.
Job Description
What role you will play in team: You'll be a valuable member, building and deploying ML models to improve our product recommendations.
What you will do: You will design, develop, and test machine learning models to enhance customer experience.
Key responsibility:
- Develop and implement machine learning models for recommendation systems.
- Clean, pre-process, and analyze large datasets.
- Evaluate model performance using appropriate metrics.
- Collaborate with engineers to deploy models into production.
- Stay current with the latest advances in machine learning techniques.
- Document your work clearly and concisely.
Required Qualification and Skills:
- Master's degree in a quantitative field (Statistics, Computer Science, etc.).
- 3-5 years of experience in data science or machine learning.
- Proficiency in Python or R.
- Strong experience with ML algorithms (regression, classification, clustering).
- Experience with big data technologies (Spark, Hadoop) is a plus.
Benefits Included:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- A dynamic and collaborative work environment.
- Work from home flexibility.
A Day in the Life: You will spend your day coding, testing, and improving ML models, collaborating with the team, and staying up-to-date on industry trends.
Skills
PythonRMachine LearningDeep LearningRecommendation SystemsSparkHadoopData AnalysisIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
Similar Jobs
View allLooking for something similar?
New Data Science Analytics & Machine Learning roles in Hyderabad.
One email a day. Unsubscribe any time.

