Machine Learning Solutions Engineer

Key Skills

Amazon Simple Storage Service (S3), Apache Airflow, Apache Hadoop, Argo, AWS, AWS Kinesis, Azure, Cloud computing, Computer Vision (CV), Data pipelines, Data science techniques, Effective communication skills, Google BigQuery, Google Cloud Platform (GCP), Kubeflow, Kubernetes-K8s, Luigi, Machine learning techniques, MLflow, MongoDB, Natural Language Processing (NLP), Python Programming, PyTorch, RabbitMQ, Scikit-learn, Snowflake, SPARK Programming, Speech Technology, Speech to Text, TensorFlow

Job Description

Why Join us

Our team is motivated to unlock the AI opaque box and help society harness the power of AI. Joining us means you get to make an impact by helping reduce algorithmic bias and ensure that models in production across many different industries are transparent and ethical. 

We are an early stage startup, and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. Within Fiddler, there is ample opportunity for growth. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer. 

Fiddler is recognized as a pioneer in the field of Model Performance Management (MPM) I, and has received numerous accolades, including: 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response.

By joining our brilliant (at least we think so) team, you will help pave the way in the MPM space.

What You'll Do

• You will act as a trusted advisor to our customers, while also building relationships with technical stakeholders
• You will act as the “Voice of the Customer; regularly engaging them on status calls, educating on product roadmap and QBRs, managing escalations, while influencing our roadmap in partnership with our Product team
• Knowledge of data science concepts, including developing interpretable machine learning model tools to be used in Fiddler's product
• Ensure technical success for customer onboarding by writing custom code to integrate with their data pipeline using tools like Snowflake, Airflow, MLFlow, S3, Kafka, etc
• Develop FIddler platform integration to expedite onboarding with data platforms, workflow tools and ML platform 
• Spearhead new opportunities in which Fiddler can provide the most value that will drive renewals and expansion
• Available during US Eastern Timezone hours.

What We're Looking For

• BS/MS in Computer Science (AI/ML specialization), Statistics, Mathematics, or equivalent 
• 2+ years of real-world experience working with ML models in production
• Comfortable with Kubernetes and public Cloud environments (AWS, Azure, GCP)
• Working knowledge of tools used for structured and unstructured data, messaging and workflow tools at scale. Tools like Hadoop, MongoDB, Snowflake, Bigquery, Spark, Kafka, Kinesis, RabbitMQ, Airflow, MLFlow, Luigi, Kubeflow, Argo
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
• Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations
• Strong coding skills, preferably in Python
• Experience with large-scale industrial applications of deep learning in domains like Computer Vision, NLP and/or Speech-to-Text, a plus
• Excellent organizational, communication, writing and interpersonal skills
• Curiosity, ownership, empathy towards customers, willingness to learn new things and desire to inspire others are values we care