Machine Learning Engineer

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 is a Silicon Valley-based IT consulting and technology solutions company specializing in enterprise ecommerce, cloud technologies, systems integration, digital transformation, and mission-critical business platforms. We partner with startups and Fortune 500 organizations to deliver innovative, scalable, and cost-effective technology solutions through onsite and offshore delivery models.

We are searching a ML Engineer for one of our direct clients in Pleasanton CA.

• Position Type: Contract
• W2 position
• Work Location: Hybrid type of work in Pleasanton CA.

Proficiency in supervised and unsupervised learning algorithms is essential, along with experience in neural networks and natural language processing (NLP). Expertise in Python, R, and SQL is required, as well as familiarity with machine learning frameworks such as TensorFlow, Keras, and PyTorch. Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial. Experience in DevOps and MLOps practices is also necessary to streamline model deployment and management processes. This role involves leveraging these skills to develop, deploy, and optimize machine learning models for various applications.

SKILLS:

• Supervised or unsupervised learning algorithms
• Neural networks, NLP
• Python / R / SQL
• Tensor Flow / Keras / PyTorch
• Cloud platforms and technologies (MS Azure)
• DevOps / MLOps

Drishticon is an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, or any other legally protected characteristic under applicable federal, state, or local laws.