Applied Machine Learning Engineer

Business Intelligence Jobs and Data Recruitment
Location
Cupertino, United States
Type
Contract
Location: On-site at the client’s headquarters in Cupertino, CA
Duration: 1.5-year contract with potential for conversion
Start Date: Immediate
Pay Rate: Average rate $80/hour USD
Candidates requiring work visas will be considered
 
We are seeking a highly skilled 
Applied Machine Learning Engineer
 for an exciting 
on-site contract opportunity
 with a leading global technology company. This position is offered through a premier IT consulting firm and provides the chance to work on cutting-edge machine learning projects in a fast-paced, innovative environment.

 

Key Responsibilities:

• Develop and optimize 

classification methods, deep learning models, and predictive algorithms

 for real-world applications.

• Design and implement 

machine learning pipelines

 to process large-scale datasets efficiently.

• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate ML solutions into production.
• Conduct performance evaluations, model tuning, and continuous improvements to enhance accuracy and efficiency.
• Stay current with industry trends and advancements in machine learning and AI to drive innovation.

Qualifications:

6+ years

 of experience in 

applied machine learning, deep learning, and predictive modeling

.

• Strong background in 

classification algorithms, supervised and unsupervised learning techniques, and statistical modeling

.

• Proficiency in Python and ML frameworks such as 

TensorFlow, PyTorch, or Scikit-learn

.

• Experience with 

large-scale data processing tools

 and cloud-based ML deployment.

• Strong analytical and problem-solving skills with the ability to translate business needs into ML solutions.
• Excellent communication and collaboration skills to work effectively in a dynamic team environment.

 

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