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Data AI/ML Engineer
Quantum Technologies —Sunnyvale, CA
Adaptability and a commitment to continuous learning in a fast-evolving field. *Building scalable ML pipelines, deploying models into production environments (…
$40 - $50 an hour
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Advanced degree in a relevant discipline (e.g., data science, engineering, computer science, applied mathematics, cognitive science, systems, or equivalent).

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Data AI/ML Engineer

Quantum Technologies -
Sunnyvale, CA

Quick Apply

Job Details

Contract
$40 - $50 an hour

Qualifications

Statistics
Software engineering
Data transformation pipeline development
Cloud data warehouses
Calculus
Application Architecture Design (Architecture design skill)
Data structures
Testing and evaluation
Git
AI platforms (beyond public GPTs)
Computational framework
Snowflake
Maintaining data pipelines
SQL
Pandas
Machine learning cloud services
AWS
Linear algebra
Model deployment
Version control systems
Probability theory
Algebra
Unit testing
Machine learning libraries
AI
Machine learning frameworks
Design (software development lifecycle)
MLOps
Data analysis software
Database software proficiency

Full Job Description

POSITION: Data AI/ML Engineer

Location: Sunnyvale, CA, USA (Onsite)

Duration: 6-12+ Months

Responsibilities:

Designing, and Developing ML systems .
Collaborating with data scientists and engineers to select, collect, clean, preprocess, and analyze large datasets for model training and feature engineering.
Time series forecasting
Implementing appropriate ML algorithms and using frameworks like TensorFlow or PyTorch.
Building scalable ML pipelines, deploying models into production environments (often using Docker, Kubernetes, and cloud platforms like AWS), and creating APIs for application integration.
Dashboard and Data Analytics
Analysis to interpret results, and monitor deployed models for performance and potential issues.
Collaboration and Communication: Working with cross-functional teams
Staying updated with the latest advancements in machine learning, deep learning, and AI tooling to incorporate new knowledge into ongoing projects.
Domain: Demand and supply planning
Python, TensorFlow, PyTorch, scikit-learn
ML pipelines and data processing systems.
ML models

Mandatory Skills:

Expert-level proficiency in Python is standard
In-depth knowledge of ML frameworks such as TensorFlow / PyTorch
Solid understanding of probability, statistics, linear algebra, and calculus is essential for algorithm development and model evaluation.
Experience with software architecture, data structures, unit testing, version control (Git), and general software development best practices.
Familiarity with tools for processing data
Experience with cloud services for deploying and managing ML models (AWS).
Experience with Data pipelines, SQL and Snowflake
Strong analytical and problem-solving abilities.
Excellent communication and teamwork skills.
Adaptability and a commitment to continuous learning in a fast-evolving field.

Kindly revert with your most updated resume along with your contact details at [email protected]
Make sure to include your professional experience in all the skills mentioned above the JD.

Campaign Code AT1

Pay: $40.00 - $50.00 per hour

Work Location: In person

Quick Apply

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Data AI/ML Engineer

Analytics & Data Science

Sr. Full Stack Developer - Contract _PIU Based Compensation _No Salary

Fiber Sensing PostDoc

Quantum Cryptography Engineer

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