Data Scientist AIML
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Job Location:
Charlotte, VT - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Job Title: Data Scientist AI/ML
Location: Charlotte NC
Long Term Contract
Looking for W2 Candidates. No C2C
Location: Charlotte NC
Long Term Contract
Looking for W2 Candidates. No C2C
Job Description:
Analyze structured and unstructured data to extract actionable insights.
Design build train and deploy machine learning and deep learning models.
Develop end to end AI/ML pipelines including data preprocessing feature engineering model training evaluation and monitoring.
Apply statistical modeling supervised/unsupervised learning and advanced analytics techniques.
Work closely with product managers engineers and business stakeholders to define problem statements and succesmetrics.
Optimize model performance scalability and reliability in production environments.
Implement model monitoring drift detection and retraining strategies.9
Communicate findings and recommendations through clear visualizations and presentations.
Stay current with the latest AI/ML research tools and best practices.
Analyze structured and unstructured data to extract actionable insights.
Design build train and deploy machine learning and deep learning models.
Develop end to end AI/ML pipelines including data preprocessing feature engineering model training evaluation and monitoring.
Apply statistical modeling supervised/unsupervised learning and advanced analytics techniques.
Work closely with product managers engineers and business stakeholders to define problem statements and succesmetrics.
Optimize model performance scalability and reliability in production environments.
Implement model monitoring drift detection and retraining strategies.9
Communicate findings and recommendations through clear visualizations and presentations.
Stay current with the latest AI/ML research tools and best practices.
Required qualifications capabilities and skills:
Bachelors or masters degree in computer science Data Science Statistics Mathematics Engineering or a related field.
2 5 years of hands on experience in data science machine learning or AI roles.
Strong proficiency in Python (NumPy Pandas Scikit learn) and experience with ML frameworks such as TensorFlow or PyTorch.
Solid understanding of statistics probability linear algebra and optimization.
Experience with SQL and data manipulation on large datasets.
Knowledge of common ML algorithms (regression classification clustering NLP time series recommendation systems).
Experience deploying models using APIs microservices or cloud platforms.
Programming: Python SQL (R is a plus)
ML/AI: Supervised & Unsupervised Learning Deep Learning NLP Model Evaluation
Data: Data Wrangling Feature Engineering ETL
Tools: Git Jupyter MLflow Docker
Visualization: Matplotlib Seaborn Power BI/Tableau (optional)
Best Regards:
Kesav N
Phone: 1-
Email:
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
