Manager of Data Science, Workato
Integration & workflow automation platform
Be an early applicant
Integration & workflow automation platform
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To help businesses streamline their operations by providing a platform to automate their work and integrate their stacks, all in one place.
Role
Who you are
- Master's or PhD in Computer Science, Machine Learning, Statistics, or related field
- 10+ years of hands-on experience in data science/machine learning
- 5+ years of experience leading technical teams
- Proven track record of deploying ML & LLM models to production at scale
- Deep expertise in Python and ML frameworks (PyTorch, TensorFlow)
- Extensive experience with commercial LLM APIs (Anthropic Claude, OpenAI GPT-4)
- Strong proficiency with MLflow for experiment tracking and model management
- Experience with distributed computing using Apache Spark
- Proficiency with Apache Flink for stream processing and real-time ML
- Knowledge of LLM fine-tuning techniques (LoRA, QLoRA, full fine-tuning)
- Expertise in anomaly detection algorithms and time series analysis
- Demonstrated ability to lead and inspire technical teams
- Strong communication skills to translate complex technical concepts to stakeholders
- Experience with agile development methodologies
- Track record of successful cross-functional collaboration
- Ability to balance technical excellence with business pragmatism
- Experience with AIBrix, vllm or similar ML platform solutions
- Experience with AI code generation and anonymisation pipelines
- Knowledge of advanced prompting techniques and prompt engineering
- Experience building RAG (Retrieval Augmented Generation) systems
- Background in building ML platforms or infrastructure
- Familiarity with vector databases (Pinecone, Weaviate, Qdrant)
- Experience with model security and responsible AI practices
- Contributions to open-source ML projects
What the job involves
- We are seeking an experienced Data Science / Machine Learning Engineering Lead to join our team and drive the development of advanced ML/AI capabilities. You will lead a team of Data Scientists / ML Engineers, focusing on building and deploying cutting-edge machine learning solutions using our modern ML infrastructure including Anthropic, OpenAI, and self-hosted LLMs
- Team Leadership & Management:
- Lead, mentor, and develop a team Data Scientists, Data Engineers, ML Engineers
- Conduct regular 1:1s, performance reviews, and career development planning
- Foster a collaborative, innovative team culture focused on continuous learning
- Coordinate work allocation and ensure timely delivery of projects
- Facilitate knowledge sharing and best practices across the team
- Technical Leadership:
- Design and implement scalable ML model training pipelines using modern toolset (e.g MLflow, Comet, Langfuse, WandB, Trino, dbt, Spark, Flink, etc)
- Lead fine-tuning initiatives for both commercial (Anthropic Claude, OpenAI GPT) and open-source LLMs
- Utilise self-hosted LLM infrastructure using Ray, AIBrix, and vLLM for optimal performance and cost efficiency with Lora/QLora
- Architect and oversee model continous validation frameworks within our ecosystem
- Develop real-time anomaly detection systems leveraging for streaming data processing
- Build predictive models for system performance, usage patterns, and automation workflow optimization
- Establish ML engineering best practices for model versioning, monitoring, and deployment on Kubernetes
- Creation of eval, validation and metrics pipelines for models during training and inference
- Strategic Initiatives:
- Optimize the balance between commercial APIs (Anthropic, OpenAI) and self-hosted models for different use cases
- Partner with product and engineering teams to identify high-impact ML opportunities
- Define the team's technical roadmap aligned with company objectives
- Drive adoption of state-of-the-art ML techniques and tools
- Contribute to infrastructure decisions for scaling our ML platform
- Operational Excellence:
- Implement robust CI/CD pipelines for ML models in Kubernetes environments
- Monitor model performance using MLflow tracking and implement drift detection
- Manage Flink jobs for real-time feature engineering and anomaly detection
- Document processes, architectures, and decision rationale
Our take
Many businesses struggle with lack of team integration. There are a plethora of handy apps available, and various teams within businesses often use different processes, tools, and software. This has led to many businesses attempting to patch together technologies and create ad-hoc solutions that fail when they need to be scaled. Workato allows businesses to integrate data and apps so that teams can collaborate and communicate securely.
Workato has built a single platform that integrates apps, processes, data, and user experiences to improve efficiency, communication, and business flexibility. There are many integration platforms available, such as SnapLogic and Mulesoft Anypoint Platform, however, Workato has aimed its platform at users who have minimal technical experience, rather than the IT team.
Workato has continued to expand its partnerships and workforce, and is well set to see further growth as it innovates its product offerings and capabilities. The company was recognized as a Leader in the 2023 Gartner® Magic Quadrant™ for Integration Platform as a Service, making five years it has participated and five years it has been recognized.
Steph
Company Specialist at Welcome to the Jungle
Insights
-7% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Nov 2021
$200m
SERIES E
Jan 2021
$110m
SERIES D
Total funding: $415m
Company benefits
- Flexible Working Arrangements: We maintain a hybrid remote work model and provide everyone with best of breed technology tools that enable them to work anywhere, anytime.
- Great Employee Benefits: Such as an Employee Assistance Programme (EAP), Health Insurance, Referral Bonuses, and Workato Stock Options, tailored to the countries that our employees are based in.
- Professional Development Opportunities: We support individual career ambitions, and set aside training programs and budgets they can tap on to upgrade both soft and hard skills.
- Dedicated Wellness: We make it a point to dedicate time to pause, recharge and get to know each other better.
- Recreation Time: From virtual game nights to fitness sessions, there's always time for a little fun on the calendars.
Company HQ
Old Mountain View, Mountain View, CA
Leadership
Vijay Tella
(CEO)Spent 15 years as an Engineer at Teknekron and TIBCO, before joining Oracle as CSO. They also served as CEO at Qik, and VP at Skype.
Gautham Viswanathan
(CPO)Spent 12 years at TIBCO Software, before leaving their Corporate Development role to found Blink Interactive. Also served as the CEO of iProfile.
Harish Shetty
(Head of Engineering)Previously held leadership roles in engineering at TIBCO, Blink, and iProfile.
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