Machine Learning Engineer
at Precision Solutions
Remote, Oregon, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 14 Sep, 2024 | Not Specified | 17 Jun, 2024 | 5 year(s) or above | Aws,Security,Computer Science,Machine Learning,A/B Testing,Models,Data Visualization,Docker,Data Manipulation,Data Engineering,Flask,Public Trust,Transformation,Scalability,Data Mining,Access,Statistics,Python,Web Applications,Programming Languages | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
SUMMARY
Our client provides reliable, effective, and innovative technology solutions that advance federal, state, local, and nonprofit missions. Their technologists and consultants are passionate about solving complex challenges that impact millions of lives. Also, our client takes a Mindful Modernization approach in delivering our application modernization, grants management systems, government data analytics, and advisory services. Mindful Modernization is our client’s way of delivering mission impact by aligning our government customers’ strategic objectives to measurable outcomes through people, processes, and technology.
REQUIREMENTS
- A Minimum 5-7 years related experience with a focus on Data Mining and Machine Learning
- Strong programming skills in Python
- Extensive experience with machine learning libraries and frameworks
- Proven experience with Azure and its AI capabilities, including the use of Azure OpenAI and LLMs
- Experience with Databricks for data engineering and exploratory data analysis
- Proficient in building and deploying web applications using Streamlit, Flask, and FastAPI
- Familiarity with the deployment of scalable machine learning models in a production environment
- Strong problem-solving skills and the ability to work collaboratively in a fast-paced, team environment
PREFERRED REQUIREMENTS
- Industry-recognized certifications are a plus
- Experience with other cloud platforms such as Azure or AWS
- Familiarity with additional programming languages such as .Net, C#, Java
- Knowledge of containerization and orchestration technologies such as Docker, Kubernetes
- Experience applying machine learning techniques to real-world business problems
EDUCATION/CERTIFICATION REQUIREMENTS
- A Bachelor’s degree in Computer Science, Engineering, Statistics, or related field is required
CLEARANCE REQUIREMENTS
- Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; obtaining a Public Trust is required for this position once an offer is made.
ABOUT US
Northern Virginia-based Precision Solutions is an expert in staffing solutions for companies of any size that open the door to new opportunities and seek outstanding talent. We pride ourselves on being versatile enough to tailor our relationships to the needs of each individual client, being agile in the fast-paced marketplace, and being precise in meeting the needs of any company.
Responsibilities:
RESPONSIBILITIES
Our client is looking for a Machine Learning Engineer to join their team! As a Machine Learning Engineer, you will work as part of a customer success team to assist, develop, and collaborate in ML models and algorithms, specifically focusing on integrating Azure OpenAI services and Large Language Models. to join our innovative team. This role requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks such as Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models and deploying them to production environments and also being part of customer success teams.
- Utilize Databricks for large-scale data processing and model training, ensuring efficient data manipulation and transformation
- Develop and deploy web applications and APIs using Streamlit, Flask, and FastAPI to enable interactive data visualization and real-time model interaction
- Collaborate with cross-functional teams to define problem statements, gather requirements, and deliver ML-driven solutions that align with business goals
- Implement and maintain machine learning solutions within Azure cloud environments, ensuring scalability, performance, and security
- Optimize machine learning pipelines for performance and scalability using LangChain for natural language processing tasks
- Conduct A/B testing and other experimental designs to validate models against business objectives
- Document all processes and models in detail to ensure reproducibility and compliance with industry standards
OTHER DUTIES
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
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REQUIREMENT SUMMARY
Min:5.0Max:7.0 year(s)
Information Technology/IT
IT Software - System Programming
Software Engineering
Graduate
Computer science engineering statistics or related field is required
Proficient
1
Remote, USA