Job Title: AI ENGINEER
Location: Reston VA
Duration: 12 Months
Visa: USC GC H1B and EAD
Contract Type: W2
Job Description:
- Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch.
- Strong skills in programming languages such as Python R or Java essential for developing AI applications.
- Build and maintain AI pipelines from data processing to model deployment.
- Analyze complex datasets to uncover insights and improve model performance.
- Ability to analyze complex problems and develop effective AI-driven solutions.
- Deploy AI solutions on cloud platforms such as AWS.
- Collaborate with technical and business teams to identify AI opportunities and deliver impactful solutions.
- Deep understanding of deploying AI applications within a CICD environment specifically AWS.
Preferred qualifications:
- Experience with MLOps tools (e.g. MLflow Kubeflow).
- Knowledge of big data technologies (Spark Hadoop Databricks).
- Background in NLP computer vision or other advanced AI techniques.
- Relevant certifications (Coursera edX AWS Azure Google Cloud).
Required qualifications:
- Strong programming skills in Python R or Java.
- Hands-on experience with machine learning algorithms and frameworks.
- Familiarity with major cloud platforms for AI deployment.
- Strong analytical and problem solving skills.
- Solid foundation in mathematics and statistics.
Job Title: AI ENGINEER Location: Reston VA Duration: 12 Months Visa: USC GC H1B and EAD Contract Type: W2 Job Description: Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch. Strong skills in programming languages such as Python R or Java ess...
Job Title: AI ENGINEER
Location: Reston VA
Duration: 12 Months
Visa: USC GC H1B and EAD
Contract Type: W2
Job Description:
- Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch.
- Strong skills in programming languages such as Python R or Java essential for developing AI applications.
- Build and maintain AI pipelines from data processing to model deployment.
- Analyze complex datasets to uncover insights and improve model performance.
- Ability to analyze complex problems and develop effective AI-driven solutions.
- Deploy AI solutions on cloud platforms such as AWS.
- Collaborate with technical and business teams to identify AI opportunities and deliver impactful solutions.
- Deep understanding of deploying AI applications within a CICD environment specifically AWS.
Preferred qualifications:
- Experience with MLOps tools (e.g. MLflow Kubeflow).
- Knowledge of big data technologies (Spark Hadoop Databricks).
- Background in NLP computer vision or other advanced AI techniques.
- Relevant certifications (Coursera edX AWS Azure Google Cloud).
Required qualifications:
- Strong programming skills in Python R or Java.
- Hands-on experience with machine learning algorithms and frameworks.
- Familiarity with major cloud platforms for AI deployment.
- Strong analytical and problem solving skills.
- Solid foundation in mathematics and statistics.
View more
View less