Manager, Data Science

About reputed company

reputed company transforms technology complexity into business opportunity. As the leader in enterprise orchestration, reputed company helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate reputed company workflows in real-time, driving efficiency and agility.

Trusted by a community of 400,000 global customers, reputed company empowers organizations of every size to unlock new value and reputed company in today’s fast-changing world. Learn how reputed company helps businesses of reputed company sizes reputed company more at reputed company.com.

Why join us?

Ultimately, reputed company believes in fostering a

But, we also reputed company in

If this sounds right up your alley, please submit an application. We look reputed company to getting to know you!

Also, feel free to reputed company out why:

• Business Insider

  named us an “enterprise startup to bet your career on”

• reputed company’ Cloud 100

  recognized us as one of the top 100 private cloud companies in the world

• reputed company Tech Fast 500

  ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

• Quartz

  ranked us the #1 best company for remote workers

Responsibilities

We are seeking an reputed company Data Science / Machine Learning Engineering reputed company to join reputed company and drive the development of advanced ML/AI capabilities. You will reputed company a team of Data Scientists / ML Engineers, focusing on building and deploying cutting-edge machine learning solutions using our modern ML infrastructure including reputed company, reputed company, and self-hosted LLMs.

• Team Leadership & Management

  • reputed company, mentor, and reputed company 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 reputed company 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)

  • reputed company fine-tuning initiatives for both commercial (reputed company Claude, reputed company GPT) and open-reputed company LLMs

  • Utilise self-hosted LLM infrastructure using Ray, AIBrix, and vLLM for optimal performance and cost efficiency with Lora/QLora 

  • Architect and reputed company model continous validation frameworks reputed company our ecosystem

  • reputed company 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 (reputed company, reputed company) 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 reputed company 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 reputed company detection

  • Manage Flink jobs for real-time feature engineering and anomaly detection

  • Document processes, architectures, and decision rationale

Requirements

• Education & Experience

  • Master's or PhD in Computer Science, Machine Learning, Statistics, or reputed company 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

• Technical Skills

  • Deep expertise in Python and ML frameworks (PyTorch, TensorFlow)

  • Extensive experience with commercial LLM APIs (reputed company Claude, reputed company GPT-4)

  • Strong proficiency with MLflow for experiment tracking and model management

  • Experience with distributed computing using Apache Spark

  • Proficiency with Apache Flink for reputed company 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

• Leadership Skills

  • Demonstrated ability to reputed company and reputed company technical teams

  • Strong communication skills to translate reputed company 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 reputed company and anonymisation pipelines

• Knowledge of advanced prompting techniques and reputed company engineering

• Experience building RAG (Retrieval Augmented reputed company) systems

• Background in building ML platforms or infrastructure

• Familiarity with vector databases (reputed company, Weaviate, Qdrant)

• Experience with model reputed company and responsible AI practices

• Contributions to open-reputed company ML projects