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If you are a Data Scientist (AI/ML & MLOps) and looking for excitement challenge and stability in your work then you would be glad to come across this page.
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Role: Data Scientist (AI/ML & MLOps)
Location: Hyderabad Bangalore Pune
Hybrid Mode Position
Exp: 5 8 years
As a Machine Learning Engineer you will play a pivotal role in developing and deploying realtime AI/ML models using Google Cloud Platform. The ideal candidate will possess strong technical capabilities exceptional communication skills and a passion for staying updated with the latest research and technology trends.
Key Responsibilities:
- Design develop and deploy realtime AI/ML models using Google Cloud Platform.
- Utilize strong programming skills in Python and PySpark to implement scalable solutions.
- Demonstrate proficiency with SQL relational databases data warehouses and BigQuery.
- Scale marketingrelated AI/ML solutions such as cross/upsell recommended systems and category propensity.
- Deploy and manage largescale Machine Learning Models (experience is a plus).
- Schedule jobs for automated training and inference of AI/ML models using airflow or similar workflow orchestration platforms.
- Collect data from various sources perform data cleaning preprocessing and feature engineering.
- Apply understanding of regression classification and unsupervised ML algorithms.
- Mentor junior associates in scaling AI/ML models.
- Exhibit excellent problemsolving and analytical skills.
- Communicate effectively with technical and nontechnical stakeholders presenting complex concepts in a clear manner.
Requirements
- Bachelors/master s degree in computer science Statistics or Mathematics with a minimum of 7/5 years of relevant experience.
- Proven experience deploying realtime AI/ML models using Google Cloud Platform.
- Strong programming skills in Python and PySpark.
- Proficiency in SQL and relational databases data warehouses and BigQuery.
- Experience in scaling marketingrelated AI/ML solutions.
- Experience deploying and managing largescale Machine Learning Models is a plus.
- Proficiency in scheduling jobs for automated training and inference of AI/ML models using airflow or similar platforms.
- Strong mentorship skills with experience mentoring junior associates.
- Exceptional problemsolving and analytical abilities.
- Strong written and verbal communication skills with the ability to convey complex concepts to technical and nontechnical audiences effectively.
- If you meet these qualifications and are excited about the prospect of joining a dynamic team focused on innovation we encourage you to apply.
Benefits
Bachelor's/master s degree in computer science, Statistics, or Mathematics with a minimum of 7/5 years of relevant experience. Proven experience deploying real-time AI/ML models using Google Cloud Platform. Strong programming skills in Python and PySpark. Proficiency in SQL and relational databases, data warehouses, and BigQuery. Experience in scaling marketing-related AI/ML solutions. Experience deploying and managing large-scale Machine Learning Models is a plus. Proficiency in scheduling jobs for automated training and inference of AI/ML models using airflow or similar platforms. Strong mentorship skills, with experience mentoring junior associates. Exceptional problem-solving and analytical abilities. Strong written and verbal communication skills, with the ability to convey complex concepts to technical and non-technical audiences effectively. If you meet these qualifications and are excited about the prospect of joining a dynamic team focused on innovation, we encourage you to apply.