Software Development Manager - Machine Learning (Remote)

Clear Demand Inc; Phoenix (AZ); Remote; USD 120,000 - 180,000; Full time

Job summary

A leading tech firm in Phoenix, AZ is seeking a Data Scientist Lead to manage a talented team in delivering innovative AI/ML solutions. This role requires extensive experience in data science and working knowledge of deep learning frameworks. Ideal candidates will have a strong background in programming and maintaining production-level AI systems, while driving impactful solutions in collaboration with business stakeholders. Join a cutting-edge firm that values excellence and innovation.

Qualifications

• 5+ years of experience in data science with a proven track record.
• Delivered AI/ML products/features to production.
• Hands-on in Deep learning models and Transformers.
• Experts in Supervised and Semi-Supervised learning.

Responsibilities

• Lead a team of software engineers and data scientists.
• Manage ML projects to production and operations effectively.
• Work with stakeholders to execute product vision using AI/ML.
• Optimize deep learning models for efficient inference.

Skills

Data Science

Machine Learning

Statistical Analysis

Deep Learning

Data Engineering

Programming

Education

MS/PhD from reputed institution

Tools

Pytorch

TensorFlow

PySpark

SQL

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 withBusiness 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 fromlarge amountsof data and derive useful insights on a big-data scale.

• Create labelling manuals and work with labellers to manage ground truth data and performfeature engineeringas needed.

• Work with software engineering teams, data engineers and ML operations team (DataLabellers, 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.

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

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

• Streamline ML operations by envisioning human in the loop kind of workflows, collect necessary labels/audit information from these workflows/processes, that can feed into improved training and algorithm development process.

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

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

• **Skillsrequired: **

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

• 5+ years of experience in data science, with a proventrack recordof delivering impactful data-driven solutions.

• Delivered AI/ML products/features to production.

• Seen the complete cycle from Scoping & analysis, Data Ops, Modelling,MLOps, Post deployment analysis.

• Experts in Supervised and Semi-Supervised learning techniques. Hands-on in ML Frameworks -Pytorchor TensorFlow.

• Hands-on in Deep learning models. Developed and fine-tuned Transformer based models. (Input output metric, Sampling technique)

• Deep understanding of Transformers, GNN models and its related math & internals.
  Exhibit high coding standards and create production quality code with maximum efficiency.

• Hands-on in Data analysis & Data engineering skills involvingSqls,PySparketc.