ML Engineer – Hybrid (Pleasanton) with Azure & MLOps

Jobzhr; Pleasanton (CA); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Drishticon, a Silicon Valley-based IT consulting and technology solutions company, is seeking an ML Engineer for a hybrid role in Pleasanton, CA. This contract (W2) position requires strong expertise in ML algorithms, neural networks, NLP, Python, R and SQL, plus frameworks like TensorFlow, Keras and PyTorch.

Azure cloud experience and DevOps/MLOps practices are essential. The candidate will develop, deploy, and optimize models for enterprise applications, collaborating with clients and

Qualifications

• Proficiency in supervised and unsupervised learning algorithms is essential.
• Experience in neural networks and NLP is required.
• Expertise in Python, R and SQL is needed.
• Familiarity with ML frameworks such as TensorFlow, Keras and PyTorch is required.
• Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial.
• Experience in DevOps and MLOps practices is necessary to streamline deployment and management.

Responsibilities

• Leverage these skills to develop, deploy, and optimize ML models for various applications.

Skills

Supervised/unsupervised learning

Neural networks

NLP

Python

R

SQL

Tools

TensorFlow

Keras

PyTorch

Azure

DevOps

MLOps

Job description

Drishticon, a Silicon Valley-based IT consulting and technology solutions company, is seeking an ML Engineer for a hybrid role in Pleasanton, CA. This contract (W2) position requires strong expertise in ML algorithms, neural networks, NLP, Python, R and SQL, plus frameworks like TensorFlow, Keras and PyTorch.

Azure cloud experience and DevOps/MLOps practices are essential. The candidate will develop, deploy, and optimize models for enterprise applications, collaborating with clients and