Solutions Consultant, AI/ML

California, United States

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$116,000 – $156,100Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Cloud Computing, Data Warehousing, Artificial Intelligence, AI & Machine LearningIndustries

Requirements

Candidates should possess a university degree in data science, computer science, engineering, mathematics, or a related field, or equivalent experience. A minimum of 3 years of experience in a pre-sales or post-sales technical role working with customers is required. The ideal candidate will have a thorough understanding of the complete Data Science life-cycle, including feature engineering, model development, deployment, and management, along with strong knowledge of MLOps, relevant technologies, and methodologies. Experience with at least one public cloud platform (AWS, Azure, or GCP) and one Data Science tool such as AWS Sagemaker, AzureML, Dataiku, Datarobot, H2O, or Jupyter Notebooks is necessary. Hands-on scripting experience with SQL and Python, Java, or Scala, and familiarity with libraries like Pandas, PyTorch, TensorFlow, or SciKit-Learn are essential. Bonus points are awarded for experience with Generative AI, LLMs, Vector Databases, Databricks/Apache Spark, implementing data pipelines with ETL tools, prior Data Science roles, and enterprise software success, particularly in core verticals like FSI, Retail, or Manufacturing. Candidates must also adhere to company confidentiality and security standards for handling sensitive data.

Responsibilities

The Solutions Consultant will act as a technical expert on Snowflake for AI/ML workloads, advising customers on best practices for Data Science on Snowflake. They will build and deploy ML pipelines using Snowflake features and partner tools based on customer requirements, and perform hands-on work with SQL and Python to create Proofs of Concept. The role involves ensuring knowledge transfer to customers for enablement and self-sufficiency, maintaining a deep understanding of competitive AI/ML technologies, and collaborating with System Integrators on technical aspects of deployments. The consultant will also provide guidance on resolving customer technical challenges, support the professional services team's development, and work with Product Management, Engineering, and Marketing to improve Snowflake's offerings.

Skills

AI/ML

Data Science

Cloud Architecture

Snowflake

SQL

Python

ML Pipelines

Data Pipelines

Technical Consulting

Customer Enablement

Snowflake

Data management and analytics platform

About Snowflake

Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.

Bellevue, WashingtonHeadquarters

2012Year Founded

$1,341.3MTotal Funding

IPOCompany Stage

Data & Analytics, Enterprise Software, AI & Machine LearningIndustries

5,001-10,000Employees

Benefits

We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.

A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.

Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.

Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.

Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.

Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.

Risks

Integration challenges from Datavolo acquisition may disrupt operations and customer service.

Increased competition from Mistral AI could challenge Snowflake's market position.

Convertible senior notes pricing may increase financial pressure if market conditions worsen.

Differentiation

Snowflake offers a unified platform for diverse data workloads, unlike traditional solutions.

The AI Data Cloud enables near-unlimited scale and performance for data mobilization.

Snowflake's seamless multi-cloud experience ensures efficient data operations across locations.

Upsides

Acquisition of Datavolo enhances Snowflake's open data integration capabilities.

Investment in Metaplane boosts AI-driven data quality solutions for Snowflake users.

Snowflake Ventures' investment in Hex expands accessibility of data tools to non-technical users.

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