This is a remote position.
Our client is seeking a Principal Machine Learning Engineer to drive ML innovation and business impact. As a handson leader you ll leverage AWS tools and opensource technologies to build and enhance ML models. You ll mentor a ML team collaborate with business stakeholders and explore cuttingedge techniques like LLMs GenAI and deep learning to align ML solutions with company goals. The role is remote with 5 travel to the Chicagoarea.
Key Responsibilities :
- Lead ML Innovation : Develop and refine ML solutions using AWS tools to maximize business impact.
- Mentorship & Coaching : Guide the ML engineering team fostering growth and continuous learning.
- Handson : Split time between model development deployment and optimization 50 and research & development 50.
- Crossfunctional Collaboration : Partner with the Principal Data Scientist and key stakeholders to drive ML strategy.
- Research & Industry Awareness : Stay current with emerging ML technologies and best practices.
- Platform Optimization : Improve ML infrastructure for scalability efficiency and cost reduction.
Education & Experience Requirements :
Education : Master s in Computer Science Data Science ML or a related quantitative field (Ph.D. preferred).Experience : 7 years in ML engineering or combination of ML engineering with AI or data science with 3 years in a leadership or mentorship role.Technical Expertise :
Strong knowledge of ML algorithms deep learning NLP and GenAI techniques.Proficiency in AWS ML services (SageMaker Bedrock ECS) and MLOps practices or similar cloud services (i.e. GCP Azure).Proven ability to build and manage CI / CD containers and orchestration (i.e. ECS Dagster)Advanced Python programming skills with experience in TensorFlow PyTorch Scikitlearn.Expertise in data pipelines feature engineering and model lifecycle management need to be proficient in APIs.Familiarity with vector databases (i.e. Pinecone FAISS Elasticsearch) and distributed computing.Soft Skills & Leadership :
Proven ability to mentor engineers and drive technical excellence.Strong problemsolving skills and an innovative mindset.Ability to collaborate with crossfunctional teams and communicate ML concepts effectively.Comfortable in a fastpaced evolving environment.Why Apply
Autonomy & Innovation : Shape ML strategies with direct business impact.Continuous Learning : Work with the latest ML technologies.Career Growth : Opportunity to lead and scale ML initiatives.Collaborative Culture : Engage with executives and industry experts.What You ll Get :
Competitive salary annual bonus and longterm incentivesFlexible remotefirst work environment (approx. 10 travel)Access to cuttingedge ML tools and mentorshipdriven cultureIf youre excited about leading ML innovation and mentoring a toptier team apply now !
Mavent Analytics and our client engages in ways that embrace diversity of race ethnicity culture gender identity age sex disability and experience.Requirements
Education & Experience Requirements :
Education : Master s in Computer Science Data Science ML or a related quantitative field (Ph.D. preferred).Experience : 7 years in ML engineering or combination of ML engineering with AI or data science with 3 years in a leadership or mentorship role.Technical Expertise :
Strong knowledge of ML algorithms deep learning NLP and GenAI techniques.Proficiency in AWS ML services (SageMaker Bedrock ECS) and MLOps practices or similar cloud services (i.e. GCP Azure).Proven ability to build and manage CI / CD containers and orchestration (i.e. ECS Dagster)Advanced Python programming skills with experience in TensorFlow PyTorch Scikitlearn.Expertise in data pipelines feature engineering and model lifecycle management need to be proficient in APIs.Familiarity with vector databases (i.e. Pinecone FAISS Elasticsearch) and distributed computing.Soft Skills & Leadership :
Proven ability to mentor engineers and drive technical excellence.Strong problemsolving skills and an innovative mindset.Ability to collaborate with crossfunctional teams and communicate ML concepts effectively.Comfortable in a fastpaced evolving environment.Benefits
Medical dental vision 401(k) annual bonus longterm incentive
Machine Learning, Python, Deep Learning, GenAI, Cloud, APIs, TensorFlow, PyTorch, CI / CD, Container Orchestration
Education
MS Degree
Key Skills
Design,Academics,AutoCAD 3D,Cafe,Fabrication,Java
Employment Type : Full Time
Experience : years
Vacancy : 1
Monthly Salary Salary : 200000 - 200000
