1172 IT & Software Developer jobs in the US
Requirements
Must:
- Proficient in programming languages such as Python, R, or Java.
- Hands-on experience with machine learning algorithms and frameworks.
- Familiarity with prominent cloud platforms for AI deployment.
- Strong analytical and problem-solving skills.
- Solid grounding in mathematics and statistics.
- Experience with MLOps tools (e.g., MLflow, Kubeflow) is advantageous.
- Knowledge of big data technologies (Spark, Hadoop, Databricks).
- Background in NLP, computer vision, or other advanced AI methodologies is preferred.
- Relevant certifications from platforms like Coursera, edX, AWS, Azure, or Google Cloud are a plus.
Responsibilities
- Develop and enhance machine learning and deep learning models with frameworks such as TensorFlow or PyTorch.
- Build and manage AI pipelines, encompassing everything from data processing to model deployment.
- Analyze intricate datasets to derive insights and boost model performance.
- Collaborate with both technical and business teams to pinpoint AI opportunities and deliver meaningful solutions.
- Deploy AI solutions on cloud services including AWS.
- Utilize a comprehensive understanding of deploying AI applications within a CICD environment, specifically on AWS.
- Engage in hands-on engineering tasks to bolster project outcomes.
Description
We are seeking an AI/ML Engineer to join our team in Reston, VA for a 12-month engagement. Our focus is on leveraging cutting-edge technologies to innovate in the field of artificial intelligence. As part of our talented group, you will have the opportunity to work on diverse projects and gain experience across multiple domains. Successful candidates will be rewarded with a competitive contract on a W2 basis, alongside a collaborative work environment that emphasizes professional growth and development.
Something wrong or incorrect with this job? Tell us in the chat 💬 on the right ➡️
You can find Machine Learning Engineer salaries in the United States here.
How many Machine Learning Engineer jobs are in the United States?
Currently, there are 1172 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the US a good place for Machine Learning Engineers?
The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the United States?
Jump, Hitech Communications LTD, Snaplii, Thought Technology Ltd., Connected Solution Experts, LYNKED Inc., DataAnnotation among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Jobot as they are hiring for 84 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Jobot as they are hiring for 84 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
