Senior MLOps Engineer, Fractal
$120-160k
AI-driven data analytics platform
Job no longer available
AI-driven data analytics platform
1001+ employees
Job no longer available
$120-160k
1001+ employees
Company mission
To reshape business through science and advanced data tools and uncomplicate decision-making, so human intelligence can be freed from the drudgery of monotonous work and committed to the pursuit of imagination and creative rewards.
Role
Who you are
- 8+ years’ experience in designing and developing enterprise class AI Platforms and solutions, experience with enterprise fully automated Model and Risk management solution and implementing Data ops, ML ops
- Understanding of SQL, focused model monitoring, model drift, Explainability (SHAP), Bias and fairness, Pyspak and responsible Ai technologies
- Deep understanding and hands on experience with ML Engineering techniques and tools including hands on experience with ML Operations
- Experience with the primary managed data services within Google Cloud Platform, including AI Vertex, Cloud Bigtable, Cloud Spanner, Cloud SQL, or BigQuery
- Proficient in Data Science workbenches such as Domino, Container platform such as K8s/Docker, Core Java, J2EE, JSP, Servlet, Node.js, Angular,
- Proficient in Big Data Technologies , Data Transport (Pulsar/Kafka), Spark, Jupyter/ Python
- Experience working with multiple databases: Cassandra, PostGreS, Teradata. and NoSQL and RDBMS Technologies Container platform such as K8s/Docker,
- Experience with various agile methodologies and tools: JIRA, Confluence, Gitlab, CICD, etc
- Exposure to product based development methodology is desirable
- Strong leadership, communication, persuasion and teamwork skills
What the job involves
- ML Model Management Platform Strategy:
- Define and Architect comprehensive Model Management framework across these 4 major areas
- Monitor Data Quality - Monitor drift in data quality
- Monitor Model Quality - Monitor drift in model quality metrics, such as accuracy
- Monitor Bias Drift for Models in Production - Monitor bias in model's predictions
- Monitor Feature Attribution Drift for Models in Production - Monitor drift in feature attribution
- Technology / Execution
- Build and implement a platform for Seamless integration and interface with existing Batch and Realtime ML systems to enable track performance metrics and verify the accuracy of predictions
- Design/Implement a clean UI so that Data drift, model quality, and other health statistics are provided in an easy-to-understand interface to enable quick assessment of the business impact and initiate proactive actions
- Implement appropriate notifications, alerts for both upstream and downstream systems
Our take
The analysis of business data is essential in making operational changes based on forecasting, managing supply chains, and optimizing revenue, but the mass of available data can be overwhelming. This can sometimes be combated with the power of AI-driven data analysis tools, but existing solutions are usually designed to solve specific problems within specialized industries.
Fractal develops AI-driven tools and platforms for businesses, including a conversational AI platform called Senseforth, a revenue growth AI tool called Samya, AI algorithms for medical imaging named Qure, and an all-in-one data analytics platform called Crux Intelligence. The company develops its solutions to be flexible and applicable within a wide range of industries including consumer packaged goods, healthcare, financial services, and media.
Whilst AI-driven business tools are commonplace, Fractal has taken the smart approach of developing a suite of flexible AI tools that can tackle problems in many industries, as opposed to focusing on a specific problem or industry. This strategy has positioned the company well for continued growth and impact, reflecting its broad applicability and potential in the market.
Steph
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jan 2022
$360m
GROWTH EQUITY VC
Jan 2019
$200m
GROWTH EQUITY VC
Total funding: $685m
Company HQ
World Trade Center, New York, NY
Articles
Leadership
Pranay Agrawal
(Co-Founder, CEO & EVP of Global Client Development)Pranay co-founded Fractal in 2001, serving as EV of Global Client Development since then and CEO since 2016.
Srikanth Velamakanni
(Co-Founder, Group Chief Executive & Executive Vice Chairman)After co-founding Fractal, Srikanth served as the CEO until moving into the role of Group Chief Executive & Executive Vice Chairman. He is also a Vice Chairperson at nasscom, Non Executive Chairman at ideaForge and co-founder & Trustee at Plaksha University.
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