Software Development Manager - Machine Learning (Remote)

Clear Demand Inc; Phoenix (AZ); Remote; USD 90,000 - 150,000; Full time

Job summary

An established industry player seeks a dynamic leader to drive AI/ML projects in the Retail Business domain. This role involves leading a talented team of software engineers and data scientists to innovate and deliver impactful solutions. The ideal candidate will have a strong background in data science with hands-on experience in deep learning and machine learning frameworks. You'll collaborate with business stakeholders to shape product vision and enhance model performance, ensuring efficient operations and high-quality outputs. Join a forward-thinking organization where your expertise will shape the future of AI in retail.

Qualifications

• 5+ years of experience in data science with impactful solutions.
• Expertise in supervised and semi-supervised learning techniques.

Responsibilities

• Lead a team of engineers and data scientists in delivering software solutions.
• Manage and mentor junior data scientists, guiding best practices.

Skills

Data Science

Machine Learning

Deep Learning

PyTorch

TensorFlow

Data Analysis

SQL

PySpark

Education

MS/PhD in Data Science or related field

Job description

Responsibilities:

People management

- Lead a team of software engineers, DS, DE, MLE, in the design, development, and delivery of software solutions.

Program management

- Strong program leader that has run program management functions to efficiently deliver ML projects to production and manage its operations.

• Work with Business stakeholders & customers in the Retail Business domain to execute the product vision using the power of AI/ML.

• Scope out the business requirements by performing necessary data-driven statistical analysis.

• Analyse and extract relevant information from large amounts of data and derive useful insights on a big-data scale.

• Create labelling manuals and work with labellers to manage ground truth data and perform feature engineering as needed.

• Work with software engineering teams, data engineers and ML operations team (Data Labellers, Auditors) to deliver production systems with your deep learning models.

• Select the right model, train, validate, test, optimise neural net models and keep improving our image and text processing models.

• Architecturally optimize the deep learning models for efficient inference, reduce latency, improve throughput, reduce memory footprint without sacrificing model accuracy.

Additional responsibilities include:

• Create and enhance model monitoring system to measure data distribution shifts and alert when model performance degrades in production.

• Streamline ML operations by envisioning human-in-the-loop workflows, collecting labels/audit information to feed into training and development processes.

• Maintain multiple model versions and ensure controlled release of models.

• Manage and mentor junior data scientists, guiding best practices in data science methodologies and project execution.

Skills required:

• MS/PhD from reputed institution with a focus on delivery.

• 5+ years of experience in data science with a proven track record of impactful solutions.

• Experience delivering AI/ML products/features to production, covering scoping, data ops, modeling, MLOps, and post-deployment analysis.

• Expertise in supervised and semi-supervised learning techniques, hands-on experience with ML frameworks like PyTorch or TensorFlow.

• Hands-on experience with deep learning models, including Transformer-based models, with knowledge of input-output metrics and sampling techniques.

• Deep understanding of Transformers, GNN models, and their mathematical internals.

• High coding standards and ability to create production-quality, efficient code.

• Skills in data analysis and engineering, including SQL, PySpark, etc.