AI Resume Builder
JOIN NOW Post Job
ExecutivePlacements.com
AI

Data Scientist - AI/ML

ExecutivePlacements.com · New York, NY · $17k

Actively hiring Posted 7 months ago

Hi,

Please find the job description below. Let me know if there are any questions. Please
send me your updated resume OR sent me text over the LinkedIn
https://www.linkedin.com/in/kumar-ashwini-17100b191/
Job Title: Data Scientist - AI/ML
Location: Onsite - NYC (Candidates needs to be located in NY/NJ area)-- Onsite
Contract Duration: 6+ Months
Job Description
Role Description:

  • Artificial Intelligence/Machine Learning Engineer is responsible for designing and developing machine learning systems or AI products, implementing appropriate ML algorithms, and conducting experiments. They possess strong programming skills, knowledge of data science, and expertise in statistics.
  • They work with data to create models, perform statistical analysis, and train and retrain models to optimize performance. Your responsibilities will involve designing and constructing sophisticated machine learning models, as well as refining and updating existing systems. Their goal is to build efficient self-learning applications and contribute to advancements in artificial intelligence.
  • In order to thrive in this position, you must possess exceptional skills in statistics and programming, as well as a deep understanding of data science and software engineering principles

Requirements And Skills
Proven experience as an
AI or Machine Learning Engineer
or similar role (
data science, GenAI
) having overall experience on
12-15 years in Data
, Analytics and AI space.

Understanding of data
**structures, data modeling and software architecture

Deep knowledge of math, probability, statistics and algorithms**
Ability to write robust code in
Python, Java and R
Familiarity with machine learning frameworks (
like Keras or PyTorch
) and libraries (
like scikit-learn
)

Excellent communication skills

Ability to work in a team

Outstanding analytical and problem-solving skills

Regards

Kumar Ashwini

InfiCare
Staffing
| 22375 Broderick Drive #225 Dulles, VA 20166

Direct: (703) 652- 8463 | [email protected]

www.InfiCareHealth.com | www.InfiCareTech.com | https://www.linkedin.com/in/kumar-ashwini-17100b191/

Staffing services since 2001 | NMSDC MBE Certified | The Joint Commission Certified

Account Manager Contact Info: Ajit Rathore | [email protected] | 703-945-1834

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Machine Learning Data Science
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support