S
AI Engineer | Data Science
Suron
2 hours ago
Full-time
On-site
East New York, New York, United States
About the Role
We are seeking a highly motivated
AI Engineer | Data Scientist
to join an innovative R&D team driving the next wave of intelligent automation and digital transformation. This is an exceptional opportunity to work with
cutting-edge artificial intelligence, data engineering, and machine learning systems
at scale — helping design and deploy real-world solutions in industries ranging from robotics to advanced analytics.
The ideal candidate thrives at the intersection of
data science, machine learning, and applied AI engineering . You’ll collaborate with cross-functional teams to design scalable data pipelines, develop and train models, and support deployment of AI-powered solutions that make a measurable impact.
What You’ll Do Build
scalable AI and data science pipelines
for multimodal datasets (visual, sensor, and real-time data). Implement
self-supervised and generative AI workflows
for data labeling and model improvement. Collaborate with cross-functional teams to translate business needs into technical AI/ML solutions. Develop
machine learning models
for prediction, optimization, and automation. Apply
data visualization
and analytics techniques to deliver actionable insights. Support
simulation-to-real workflows
and AI deployment pipelines. Document results, publish technical findings, and contribute to best practices.
Required Qualifications Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. 3–7 years of experience in AI, data science, or machine learning engineering. Proficiency in
Python
(NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch). Familiarity with
data pipelines, APIs, and cloud platforms
(AWS, Azure, or GCP). Experience building or maintaining machine learning models and datasets. Strong analytical, problem-solving, and communication skills.
Preferred Qualifications Master’s degree in AI, Data Science, or Computer Engineering. Experience with
LLMs (Large Language Models)
or
multimodal data . Exposure to
self-supervised or reinforcement learning . Experience with
Power BI, SQL, or dashboarding tools
for insight delivery. Strong understanding of
data lifecycle management and MLOps .
What You’ll Gain Competitive compensation and comprehensive benefits from day one. Direct access to
innovative AI and data science projects . Collaborative environment that values creativity, diversity, and technical excellence. Career growth and learning opportunities in one of the fastest-growing fields globally.
Equal Opportunity This is an equal opportunity employer committed to inclusion and diversity. All qualified applicants are encouraged to apply regardless of background, identity, or experience level.
Follow this job for updates on future AI & Data Science opportunities.
AI Engineer | Data Scientist
to join an innovative R&D team driving the next wave of intelligent automation and digital transformation. This is an exceptional opportunity to work with
cutting-edge artificial intelligence, data engineering, and machine learning systems
at scale — helping design and deploy real-world solutions in industries ranging from robotics to advanced analytics.
The ideal candidate thrives at the intersection of
data science, machine learning, and applied AI engineering . You’ll collaborate with cross-functional teams to design scalable data pipelines, develop and train models, and support deployment of AI-powered solutions that make a measurable impact.
What You’ll Do Build
scalable AI and data science pipelines
for multimodal datasets (visual, sensor, and real-time data). Implement
self-supervised and generative AI workflows
for data labeling and model improvement. Collaborate with cross-functional teams to translate business needs into technical AI/ML solutions. Develop
machine learning models
for prediction, optimization, and automation. Apply
data visualization
and analytics techniques to deliver actionable insights. Support
simulation-to-real workflows
and AI deployment pipelines. Document results, publish technical findings, and contribute to best practices.
Required Qualifications Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. 3–7 years of experience in AI, data science, or machine learning engineering. Proficiency in
Python
(NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch). Familiarity with
data pipelines, APIs, and cloud platforms
(AWS, Azure, or GCP). Experience building or maintaining machine learning models and datasets. Strong analytical, problem-solving, and communication skills.
Preferred Qualifications Master’s degree in AI, Data Science, or Computer Engineering. Experience with
LLMs (Large Language Models)
or
multimodal data . Exposure to
self-supervised or reinforcement learning . Experience with
Power BI, SQL, or dashboarding tools
for insight delivery. Strong understanding of
data lifecycle management and MLOps .
What You’ll Gain Competitive compensation and comprehensive benefits from day one. Direct access to
innovative AI and data science projects . Collaborative environment that values creativity, diversity, and technical excellence. Career growth and learning opportunities in one of the fastest-growing fields globally.
Equal Opportunity This is an equal opportunity employer committed to inclusion and diversity. All qualified applicants are encouraged to apply regardless of background, identity, or experience level.
Follow this job for updates on future AI & Data Science opportunities.