I am DP from CloudAngels.com [www.CloudAngles.com]

My contact No : [ +91 99 51 61 71 81 ] : Mail ID: DP@CloudAngles.com

Urgent Opening MLOps [Ml Flow/Air Flor/ Kube Flow/ etc..]

Good Experience on ML and MLOps operational teams with the advanced know-how blending theory and practice

Providing technical consulting to business leaders at an appropriate level of information encapsulation

Create scalable and modularized data engineering solutions to standardize and automate process of data ingestion and pipeline creation, from multiple data sources (for both structured an unstructured data)

Ingest and integrate data from SQL and NoSQL data sources, data lakes, free text, etc. with proper adherence to lineage and quality best practices

Enable fast and scaled feature engineering for various data science use cases. Build feature store and apply version control and governance ensuring single source of truth

Oversee development and scaling of end-to-end ML Ops team and capability. Work with data science and technology leaders and chalk out the ML Ops roadmap and implementation strategy

Lead post deployment model monitoring capabilities and integrate feedback from monitoring into training pipeline

Develop a suite of model serving capabilities including MLaaS (Machine Learning as-a-service), supporting on-prem and cloud deployments

Lead cloud migration strategy for data engineering and ML Ops solutions

Apply critical thinking skills, along with technological and AI/ML knowhow to solve complex and multi-faceted business problems.

Be a talent magnet by collaborating with various universities and leveraging network across companies

Coaching team members to operate at higher level of dimensionality to innovate and bring in game changing ideas to fruition

Demonstrated ability to speak at internal and external conferences

Work closely with innovation group, think tanks within WF and across the industry

Proven experience in the area of innovation evidenced by successful holding of one or more patents

Work closely with business partners, data stewards, project/program managers, and other IT teams to turn data into critical information and knowledge that can be used to make sound organizational decisions.

Liaison with other COEs at the bank, interface with centralized model governance group to effectively create and manage an ecosystem of ML Ops

Required Qualifications:

12 plus years in relevant field (across ML Ops, data engineering, analytics, BI, data Science and DevOps)

advanced programming exposure in Python, SQL, Scala, Java, SAS

SQL databases like Teradata, Oracle and NoSQL databases like MongoDB, Cassandra

5years of experience in big data stack like Hadoop, Hive, Kafka, Spark

4 years of experience in ML workflow technology like Airflow, Kubeflow

3 years of experience in deployment through containers (like Docker) and orchestration (Kubernetes)

3 years of experience in deploying Machine Learning as-a-service using REST API’s, Flask, Django, etc.

Familiarity with AI/ML modeling frameworks like Scikit-learn, SparkML, TensorFlow, PyTorch, Keras

Familiarity with AI/ML and NLP modeling techniques like Random forest, XGboost, Deep learning, Topic modeling, Text analytics

Experience creating data pipelines and ML Ops environment on Cloud (GCP, AWS, Azure) (preferred)

Location: Hyderabad