Job Location: Bangalore
- 12 plus years in relevant field (across ML Ops, data engineering, analytics, BI, data management/warehousing, DevOps)
- PhD or Masters degree in operations research, applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis.
- ~10 years advanced programming exposure in Python, SQL, Scala, Java, SAS
- ~10 years of experience across SQL databases like Teradata, Oracle and NoSQL databases like MongoDB, Cassandra
- ~5 years 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)
- Experience in banking and BFSI, retail, e-commerce, product companies (preferred)
- 4+ years of good team handling experience of managing people and projects
- Able to guide, mentor and provide technical assistance to the team
- Ensures adherence to data management/data governance regulations and policies. Data involved may be very large, structured or unstructured, and from multiple sources.
- Persuasive written and verbal communication skills, writing white papers is a plus
- Prior experience of attending prestigious conferences as an attendee or as panelist or speaker is weighed heavily
- Proven experience in the area of innovation evidenced by successful holding of one or more patents
- Visiting faculty or expert professionals, with the ability to see through the product roadmap for 2 or more years may have an edge in the interview process
Desired Qualifications:
- Good to have certifications in Data Science, Data Engineering, ML Ops, Cloud services
- Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment
- Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities
- Ability to research and report on a variety of issues using problem solving skills
- Ability to interact with integrity and a high level of professionalism with all levels of team members and management
- Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment
- Ability to learn the business aspects quickly, multitask and prioritize between projects.
- Exhibits appropriate sense of urgency in managing responsibilities
- Ability to accurately process high volumes of work within established deadlines
- Available to flex schedule periodically per business requirements
- Demonstrate strong negotiation, communication & presentation skills
- Demonstrates a high degree of reliability, integrity and trustworthiness
- Takes ownership for responsibilities for own and drive same effort to the team
- Dedicated, enthusiastic, driven and performance-oriented; possesses a strong work ethic and good team player
- Be proactive and get engaged in organizational initiatives
Job Expectations:
- Build and drive ML Ops and DE practices, team and solutions
- Lead the organization through change management over cloud adoption
We Value Diversity
At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
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