Stealth Startup
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$160,000.00/yr - $220,000.00/yr Machine Learning Engineer AI-Powered Sustainability Tech About Us Were an
innovative tech company on a mission to revolutionize sustainability
using
cutting-edge AI and machine learning.
Our platform harnesses
computer vision, data science, and predictive modeling
to tackle real-world challenges in
food waste management, operational efficiency, and resource optimization.
With a strong
engineering-first culture , were building
scalable, AI-driven solutions
that drive impact in a rapidly growing industry. The Role Were looking for a
Machine Learning Engineer
to help
design, build, and deploy production-grade ML models
that optimize decision-making and automate key processes. Youll work on
real-world AI applications , leveraging
deep learning, data pipelines, and scalable architectures
to improve the accuracy and efficiency of our technology. What Youll Do Develop and deploy
machine learning models
that enhance our AI-driven platform Optimize
data pipelines and model training workflows
for large-scale datasets Work on
computer vision, anomaly detection, and predictive modeling
challenges Collaborate with
software engineers, data scientists, and product teams
to integrate ML solutions into production Evaluate and implement
state-of-the-art ML techniques
to continuously improve system performance What Were Looking For Strong experience with
Python, TensorFlow, PyTorch, and modern ML frameworks Expertise in
data science, feature engineering, and model optimization Experience with
cloud-based ML deployment
(AWS, GCP, or similar) Ability to
work end-to-end , from
data ingestion to model deployment Passion for building AI-driven solutions that have a
real-world impact This is an opportunity to work on
high-impact AI projects
in a
fast-moving, mission-driven environment.
If youre passionate about
machine learning, scalability, and solving meaningful problems,
wed love to chat! Seniority level
Mid-Senior level Employment type
Full-time Job function
Industries: Technology, Information and Internet #J-18808-Ljbffr
$160,000.00/yr - $220,000.00/yr Machine Learning Engineer AI-Powered Sustainability Tech About Us Were an
innovative tech company on a mission to revolutionize sustainability
using
cutting-edge AI and machine learning.
Our platform harnesses
computer vision, data science, and predictive modeling
to tackle real-world challenges in
food waste management, operational efficiency, and resource optimization.
With a strong
engineering-first culture , were building
scalable, AI-driven solutions
that drive impact in a rapidly growing industry. The Role Were looking for a
Machine Learning Engineer
to help
design, build, and deploy production-grade ML models
that optimize decision-making and automate key processes. Youll work on
real-world AI applications , leveraging
deep learning, data pipelines, and scalable architectures
to improve the accuracy and efficiency of our technology. What Youll Do Develop and deploy
machine learning models
that enhance our AI-driven platform Optimize
data pipelines and model training workflows
for large-scale datasets Work on
computer vision, anomaly detection, and predictive modeling
challenges Collaborate with
software engineers, data scientists, and product teams
to integrate ML solutions into production Evaluate and implement
state-of-the-art ML techniques
to continuously improve system performance What Were Looking For Strong experience with
Python, TensorFlow, PyTorch, and modern ML frameworks Expertise in
data science, feature engineering, and model optimization Experience with
cloud-based ML deployment
(AWS, GCP, or similar) Ability to
work end-to-end , from
data ingestion to model deployment Passion for building AI-driven solutions that have a
real-world impact This is an opportunity to work on
high-impact AI projects
in a
fast-moving, mission-driven environment.
If youre passionate about
machine learning, scalability, and solving meaningful problems,
wed love to chat! Seniority level
Mid-Senior level Employment type
Full-time Job function
Industries: Technology, Information and Internet #J-18808-Ljbffr