Hi,
Hope you are doing great.
Please share your interest for below role.
Role: ML Ops Engineer
Location: Austin TX (100% onsite)
Fulltime role
Skills: Python, scikit learn, vader sentiment, pandas, pyspark, ML (Regression, Classification etc.), NLP – Must have strong exp in MLOps.
Job Description
· 6+ years’ experience
· Work and collaborate with data science and engineering teams to deploy and scale models and algorithms.
· Operationalize complex machine learning models into production including end to end deployment.
· Understand standard Machine Learning algorithms (Regression, Classification) & Natural Language processing concepts (sentiment generation, topic modeling, TFIDF) .
· Working knowledge of standard ML packages like scikit learn, vader sentiment, pandas, pyspark.
· Design, Develop and maintain adaptable data pipelines to maintain use case specific data.
· Integrate ML use cases in business pipelines & work closely with upstream & downstream teams to ensure smooth handshake of information.
· Develop & maintain pipelines to generate & publish model performance metrics that can be utilized by Model owners for Model Risk Oversight's model review cadence.
· Support the operationalized models and develop runbooks for maintenance.
Thanks and Regards
Kirti Singh| Team Lead| Diverse Team LLC |
Contact: 832-742-0530
Email: kirti@diverseteam.com
Job Type: Full-time
Pay: $120,000.00 - $140,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
Schedule:
Experience:
- Python: 1 year (Preferred)
- SQL: 1 year (Preferred)
Ability to Commute:
- Austin, TX 78701 (Required)
Ability to Relocate:
- Austin, TX 78701: Relocate before starting work (Required)
Work Location: In person