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Urgent Need | Machine Learning Engineer| Dallas, TX (Day 1 onsite) at Dallas, Texas, USA
Email: [email protected]
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Role: Machine Learning Engineer
with GenAI

Location: Dallas, TX (Day 1 onsite)

Duration: Long term contract

Role & Responsibilities:
Must have 10+Years

Design, develop, and implement advanced AI solutions to solve complex business problems across various domains.

Collaborate with engineers, researchers, and product managers to understand business needs and translate them into technical specifications for AI models.

Gather, clean, and prepare data for training and evaluating sophisticated AI models, ensuring data quality and ethical considerations.

Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs.

Evaluate and compare different AI model architectures and hyperparameters to optimize performance, address potential biases, and ensure responsible development.

Develop monitoring and evaluation frameworks to track AI model performance and ensure alignment with business goals.

Communicate complex AI concepts and findings to technical and non-technical audiences through data visualization, storytelling, and presentations.

Skills

Technical:

Programming languages: Python (proficient) with major ML libraries

Experience with opensource Gen AI LLMs e.g., Llama and Dolly

Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning, neural networks, transformers

Generative AI techniques: Experience with GANs, text-to-image generation, text generation models

Data wrangling & manipulation: SQL, data cleaning, feature engineering

Hyperscalers : AWS, Azure, or GCP experience a plus

Non-technical

Problem-solving & critical thinking: Ability to identify and solve complex problems with data-driven solutions.

Communication & collaboration: Effectively communicate technical concepts to diverse audiences, work with geographically distributed teams

Innovation & creativity

Attention to detail & accuracy

Self-motivation & continuous learning

www.envisiontechsol.com

10130 Mallard Creek Rd, Charlotte NC, 28262

Name Satya Prakash

Designation Technical Recruiter

Envision Technology Solutions

E: Email [email protected]

Office: number 315-275-5700

LinkedIn : linkedin.com/in/satya-prakash-205335238/

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Keywords: artificial intelligence machine learning information technology golang North Carolina Texas
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Fri Mar 08 03:14:00 UTC 2024

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Location: Dallas, Texas