Job Title:Machine Learning (ML) Lead

Location: Sunnyvale, CA 

Duration: 10 months 

Bill Rate: $80/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

We are seeking an experienced Machine Learning (ML) Lead to design, develop, optimize, and deploy ML-based solutions. The ideal candidate should have strong expertise in Model Inference, Model Optimization, KV Cache Optimization, Model Training, and Deep Learning.

The candidate will be responsible for managing the end-to-end machine learning pipeline, including data preprocessing, model selection, training, inference, and implementation.

 Key Responsibilities:

• Collect, preprocess, and integrate datasets from multiple sources into proprietary platforms.
• Perform Exploratory Data Analysis (EDA) and develop predictive models for various business use cases.
• Evaluate model performance, conduct statistical analysis, and continuously monitor deployed models.
• Design, architect, and implement scalable Machine Learning Infrastructure for data processing.
• Develop, optimize, and deploy ML algorithms across scalable product platforms.
• Work on Model Inference, model routing, model optimization, KV Cache Optimization, and model training.
• Collaborate with security and IT teams to ensure data privacy and security.
• Apply various machine learning techniques, including supervised and unsupervised learning, dimension reduction, decision trees, random trees, boosted decision trees, neural networks, deep learning, reinforcement learning, and clustering methods.
• Work closely with stakeholders and effectively communicate model performance, project progress, and technical solutions.
• Demonstrate strong problem-solving, team management, project management, and customer experience development skills.

 Required Technical Skills:

• Strong programming and scripting experience in Python and R.
• Hands-on experience with Machine Learning and predictive modeling.
• Strong expertise in PyTorch and TensorFlow.
• Experience with Deep Learning and neural networks.
• Knowledge of MLLib.
• Experience with Supervised and Unsupervised Learning, clustering, and dimension reduction techniques.
• Expertise in Model Training, Model Inference, Model Optimization, and KV Cache Optimization.

 Preferred Qualifications:

• Experience designing and packaging ML algorithms for scalable platforms and products.
• Strong analytical and problem-solving skills.
• Excellent communication, collaboration, and stakeholder management abilities.
• Ability to manage teams, projects, and multiple priorities effectively.