- Assist, develop and collaborate in ML models and algorithms, specifically focusing on integrating Azure OpenAI services and Large Language Models.
- 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. Qualifications
- Bachelor's degree in computer science, Engineering, Statistics, or a related field. Master's degree a plus.
- Strong programming skills in Python and 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 ability to work collaboratively in a fast-paced, team environment.
- Experience with other cloud platforms like Azure or AWS
- Familiarity with additional programming languages such as .Net , C# , Java
- Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
- Experience in applying machine learning techniques to real-world business problems.
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Machine Learning Engineer - Georgia, United States - Chenega Corporation
Description
Summary**Position contingent on contract award - d etails below are subject to change based on final award.**
Come join a company that strives for Extraordinary People and Exceptional Performance Chenega Services & Federal Solutions, LLC, a Chenega Professional Services ' company, is looking for a Machine Learning Engineer to support our DMAC EDAV team. The Machine Learning Engineer requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks like Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models, deploying them to production environments, and being part of a customer success teams.
Our company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. We actively strive to channel our highly engaged employee's knowledge, critical thinking, innovative solutions for our clients.
ResponsibilitiesPreferred Skills:
Final salary determination based on skill-set, qualifications, and approved funding.
Many of our jobs come with great benefits – Some offerings are dependent upon the role, work schedule, or location, and may include the following:
Paid Time Off
PTO / Vacation – hours accrued per pay period / 136 hours accrued annually
Paid Holidays - 11
California residents receive an additional 24 hours of sick leave a year
Health & Wellness
Medical
Dental
Vision
Prescription
Employee Assistance Program
Short- & Long-Term Disability
Life and AD&D Insurance
Spending Account
Flexible Spending Account
Health Savings Account
Health Reimbursement Account
Dependent Care Spending Account
Commuter Benefits
Retirement
401k / 401a
Voluntary Benefits
Hospital Indemnity
Critical Illness
Accident Insurance
Pet Insurance
Legal Insurance
ID Theft Protection
Teleworking Permitted?Yes
Teleworking Details
100% Remote
Estimated Salary/Wage
USD Up to USD
