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Job Requirements of Data Scientist – AI/ML:
-
Employment Type:
Contractor
-
Location:
Houston, TX (Onsite)
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Data Scientist – AI/ML
Careers Integrated Resources Inc
Houston, TX (Onsite)
Contractor
Job Title: Data Scientist – AI/ML
Location: Houston, TX 77002
Duration: 4 Months+ (Possible Extension)
JOB DESCRIPTION:
Non-negotiable Must Have Requirements:
Job Title:
Summary:
Key Responsibilities:
Required Technical Skills:
Required Soft Skills:
Preferred Qualifications:
Location: Houston, TX 77002
Duration: 4 Months+ (Possible Extension)
JOB DESCRIPTION:
Non-negotiable Must Have Requirements:
- A strong background in natural language processing (NLP), computer vision (CV), and generative AI is crucial.
- A broad background in AI is preferred.
- Excellent communication skills are highly valued.
Job Title:
Summary:
- We are seeking a proactive Data Scientist with expertise in AI and Large Language Models (LLMs), particularly in Natural Language Processing (NLP), Computer Vision (CV), and Generative AI.
- Your responsibilities will include developing advanced AI models using the latest technology.
- You will design, train, and deploy AI models, transforming data insights into actionable strategies.
Key Responsibilities:
- Develop, train, and optimize machine learning and deep learning models.
- Build AI solutions using LLMs, multi-agent systems, fine-tuning, and inference optimization.
- Translate complex data science methodologies into actionable insights, collaborating with stakeholders to drive business value.
- Develop clear, compelling presentations and dashboards to communicate findings to non-technical stakeholders.
Required Technical Skills:
- A broad background in AI, including deep learning, generative AI, computer vision, and natural language processing, is essential.
- Strong communication skills and a proven track record of collaborating with stakeholders and business owners are also crucial.
Required Soft Skills:
- Curious & Innovative: Passionate about solving complex business problems using data and AI.
- Ownership & Initiative: Proactively drive projects from conception to deployment.
- Business Acumen: Understand how AI/ML solutions impact business goals and decision-making.
- Effective Communication: Ability to explain technical models and AI methodologies to non-technical audiences.
Preferred Qualifications:
- Graduate degree (Master’s or Ph.D.) in a quantitative field (e.g., Computer Science, Data Science, Statistics, Engineering, Mathematics, Economics).
- Experience with deep learning and generative AI.
- This role is ideal for a Data Scientist who wants to work at the cutting edge of AI and ML, leveraging LLMs, NLP, CV to drive meaningful impact.
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