Overview
On Site
USD 70.00 - 90.00 per hour
Full Time
Skills
Recruiting
FOCUS
Statistics
Data Modeling
Data Science
Modeling
Analytical Skill
Evaluation
Management
Functional Programming
Debugging
IBM Rational
API
Presentations
Publications
Ensemble
Generative Artificial Intelligence (AI)
Large Language Models (LLMs)
Data Visualization
Perl
Database
Research
Prototyping
Project Management
Leadership
R
SQL
Microsoft Excel
Java
JavaScript
PySpark
scikit-learn
Pandas
NumPy
TensorFlow
PyTorch
Apache Spark
matplotlib
Amazon Web Services
Amazon S3
Amazon EC2
Amazon SageMaker
Cloud Computing
Git
JIRA
Docker
XGBoost
Clustering
Transformer
Deep Learning
Natural Language Processing
Computer Vision
Image Analysis
Data Analysis
A/B Testing
Design Of Experiments
Time Series
Forecasting
Machine Learning Operations (ML Ops)
Python
Machine Learning (ML)
Artificial Intelligence
Software Engineering
Taxes
Life Insurance
Collaboration
Partnership
Business Transformation
Law
Job Details
Description
Client is hiring a AI Engineer. This person will produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, data modeling, data science, artificial intelligence, software engineering / architecture to recognize patterns, identify opportunities and make valuable discoveries. Use a flexible, analytical approach to design, develop, deploy, and evaluate predictive models. Generate and test hypotheses.
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets, with an expanded focus on Generative AI applications. Apply knowledge of statistics, data modeling, data sciences, and artificial intelligence to recognize patterns, identify opportunities, and make valuable discoveries. Use a flexible, analytical approach to design, develop, and evaluate both traditional predictive models and generative AI systems. Generate and test hypotheses across various modeling paradigms.
Responsibilities:
Interpret data and present insights through rich and intuitive visualizations that tell compelling stories.
Develop novel ways of integrating, mining, and visualizing diverse, high-dimensional, and poorly curated data sets.
Explore and implement generative AI techniques where appropriate to enhance data analysis capabilities and create new solutions.
Develop and deliver presentations to communicate technical ideas and analytical findings to non-technical partners and leadership.
Build underlying software infrastructure to better manage, integrate, and mine data, incorporating both traditional and generative AI approaches.
Work closely with engineering teams and participate in the full development cycle from product inception and research to production deployment.
Write production quality code while implementing both established methods and innovative AI solutions.
Knowledge, Skills & Abilities:
Experience in artificial intelligence and statistical learning.
Experience with statistical methodologies and machine learning techniques such as: neural networks, graphical models, ensemble methods and natural language processing.
Experience with multiple deep learning techniques such as CNN, LSTM, RNN, etc., in addition to standard machine learning approaches such as those found in scikit-learn.
Master of evaluation techniques for supervised and unsupervised techniques. Knows to evaluate the quality of data and determine gaps in data or assumptions.
Proficiency with Python. Can develop meaningful python code using objective oriented programming and functional programming. Writes tests for code. Can debug errors quickly.
Strong data visualization skills.
Familiarity with one or more machine learning libraries or frameworks such as: PyTorch, Tensorflow.
Experience with rational and non-structure databases is highly desirable.
Experience using cloud technologies such as AWS with tools such as S3, Lambda, Athena, API Gateway, SageMaker.
Strong foundation in data analysis and statistical learning.
Must be able to provide evidence of relevant research expertise in the form of presentations, software, technical publications, and/or knowledge of applications.
Experience with statistical methodologies and machine learning techniques including neural networks, graphical models, ensemble methods, and natural language processing.
Knowledge of generative AI approaches such as large language models, diffusion models, or GANs is desirable.
Proficiency with Python and R.
Strong data visualization skills.
Familiarity with machine learning libraries such as PyTorch, TensorFlow, and scikit-learn.
Programming experience in Java, Python, or Perl with knowledge of relational and non-structured databases.
Technical proficiency and demonstrated success in scientific creativity, collaboration, and independent thought.
Ability to translate research concepts into practical solutions and prototypes.
Comfortable working with both technical and non-technical staff.
Strong project management skills with the ability to measure success metrics.
Leadership experience in technical discussions with stakeholders.
Must have ability to communicate effectively.
Technical Proficiencies:
Languages: Python , R, SQL, Excel, Java, JavaScript, Spark (Pyspark)
Packages: Scikit-learn, Pandas, NumPy, SciPy, TensorFlow, PyTorch, SpaCy, Hugging Face Transformers, Snorkel, H2O, Spark MLlib, Matplotlib, Seaborn, Statsmodels
Cloud: AWS (S3, Athena, Glue, EC2, SageMaker, Lambda, etc.), or equivalent cloud platforms
Technologies: Git, Jira, Docker
Techniques: Both traditional ML (Random Forest, XGBoost, clustering, etc.) and generative approaches (transformer models, diffusion models, GANs) as appropriate for the problem at hand, Machine learning and deep learning fundamentals, Natural language processing and understanding, Computer vision and image analysis, Exploratory data analysis and feature engineering, A/B testing and experimental design, Time series forecasting and anomaly detection, MLOps and model deployment practices, Ethical AI and responsible model development, Experience in Clinical data preferred
Skills
Python, Machine learning, Artificial intelligence, software engineering
Top Skills Details
Python,Machine learning,Artificial intelligence,software engineering
Additional Skills & Qualifications
Candidates can work 100% from home.
Experience Level
Expert Level
Pay and Benefits
The pay range for this position is $70.00 - $90.00/hr.
Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully remote position.
Application Deadline
This position is anticipated to close on Oct 3, 2025.
>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Client is hiring a AI Engineer. This person will produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, data modeling, data science, artificial intelligence, software engineering / architecture to recognize patterns, identify opportunities and make valuable discoveries. Use a flexible, analytical approach to design, develop, deploy, and evaluate predictive models. Generate and test hypotheses.
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets, with an expanded focus on Generative AI applications. Apply knowledge of statistics, data modeling, data sciences, and artificial intelligence to recognize patterns, identify opportunities, and make valuable discoveries. Use a flexible, analytical approach to design, develop, and evaluate both traditional predictive models and generative AI systems. Generate and test hypotheses across various modeling paradigms.
Responsibilities:
Interpret data and present insights through rich and intuitive visualizations that tell compelling stories.
Develop novel ways of integrating, mining, and visualizing diverse, high-dimensional, and poorly curated data sets.
Explore and implement generative AI techniques where appropriate to enhance data analysis capabilities and create new solutions.
Develop and deliver presentations to communicate technical ideas and analytical findings to non-technical partners and leadership.
Build underlying software infrastructure to better manage, integrate, and mine data, incorporating both traditional and generative AI approaches.
Work closely with engineering teams and participate in the full development cycle from product inception and research to production deployment.
Write production quality code while implementing both established methods and innovative AI solutions.
Knowledge, Skills & Abilities:
Experience in artificial intelligence and statistical learning.
Experience with statistical methodologies and machine learning techniques such as: neural networks, graphical models, ensemble methods and natural language processing.
Experience with multiple deep learning techniques such as CNN, LSTM, RNN, etc., in addition to standard machine learning approaches such as those found in scikit-learn.
Master of evaluation techniques for supervised and unsupervised techniques. Knows to evaluate the quality of data and determine gaps in data or assumptions.
Proficiency with Python. Can develop meaningful python code using objective oriented programming and functional programming. Writes tests for code. Can debug errors quickly.
Strong data visualization skills.
Familiarity with one or more machine learning libraries or frameworks such as: PyTorch, Tensorflow.
Experience with rational and non-structure databases is highly desirable.
Experience using cloud technologies such as AWS with tools such as S3, Lambda, Athena, API Gateway, SageMaker.
Strong foundation in data analysis and statistical learning.
Must be able to provide evidence of relevant research expertise in the form of presentations, software, technical publications, and/or knowledge of applications.
Experience with statistical methodologies and machine learning techniques including neural networks, graphical models, ensemble methods, and natural language processing.
Knowledge of generative AI approaches such as large language models, diffusion models, or GANs is desirable.
Proficiency with Python and R.
Strong data visualization skills.
Familiarity with machine learning libraries such as PyTorch, TensorFlow, and scikit-learn.
Programming experience in Java, Python, or Perl with knowledge of relational and non-structured databases.
Technical proficiency and demonstrated success in scientific creativity, collaboration, and independent thought.
Ability to translate research concepts into practical solutions and prototypes.
Comfortable working with both technical and non-technical staff.
Strong project management skills with the ability to measure success metrics.
Leadership experience in technical discussions with stakeholders.
Must have ability to communicate effectively.
Technical Proficiencies:
Languages: Python , R, SQL, Excel, Java, JavaScript, Spark (Pyspark)
Packages: Scikit-learn, Pandas, NumPy, SciPy, TensorFlow, PyTorch, SpaCy, Hugging Face Transformers, Snorkel, H2O, Spark MLlib, Matplotlib, Seaborn, Statsmodels
Cloud: AWS (S3, Athena, Glue, EC2, SageMaker, Lambda, etc.), or equivalent cloud platforms
Technologies: Git, Jira, Docker
Techniques: Both traditional ML (Random Forest, XGBoost, clustering, etc.) and generative approaches (transformer models, diffusion models, GANs) as appropriate for the problem at hand, Machine learning and deep learning fundamentals, Natural language processing and understanding, Computer vision and image analysis, Exploratory data analysis and feature engineering, A/B testing and experimental design, Time series forecasting and anomaly detection, MLOps and model deployment practices, Ethical AI and responsible model development, Experience in Clinical data preferred
Skills
Python, Machine learning, Artificial intelligence, software engineering
Top Skills Details
Python,Machine learning,Artificial intelligence,software engineering
Additional Skills & Qualifications
Candidates can work 100% from home.
Experience Level
Expert Level
Pay and Benefits
The pay range for this position is $70.00 - $90.00/hr.
Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully remote position.
Application Deadline
This position is anticipated to close on Oct 3, 2025.
>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.