Artificial Intelligence/Machine Learning Developer

Unissant, Inc.
Ashburn, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Intermediate

Job location

Ashburn, United States of America

Tech stack

HTML
Java
JavaScript
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Systems Engineering
Azure
Big Data
C++
CSS
Encodings
Computer Programming
Databases
Data Files
ETL
Data Visualization
Data Warehousing
R
Graph Database
Python
PostgreSQL
Machine Learning
Natural Language Processing
NoSQL
NumPy
Performance Tuning
Software Tools
TensorFlow
SQL Databases
Reinforcement Learning
Google Cloud Platform
Data Storage Technologies
Feature Engineering
Chatbots
PyTorch
React
Large Language Models
Prompt Engineering
Deep Learning
Generative AI
Keras
Vue.js
Pandas
Matplotlib
Angular
PySpark
Scikit Learn
Information Technology
Deployment Automation
HuggingFace
Plotly
Machine Learning Operations
Front End Software Development
Gensim
Spacy
Document Classification
Devsecops
Recurrent Neural Networks

Job description

Drive a big data approach to execute government requirements to manage and enrich data to gather new insights. As the AI/ML developer, an ideal candidate will be part of a team to provide consultative, architectural, program, and engineering support for a federal customer.

This is a client-facing position working on-site as per the requirements established by the DHS customer. Develop, train, and deploy advanced AI/ML and Gen-AI models. Design and implement innovative AI solutions to address complex business challenges using techniques such as natural language processing and large language models. Optimize model performance, ensuring accuracy, efficiency, and scalability. Develop and maintain user-friendly AI applications and interfaces, including chatbots, virtual assistants, and generative content tools. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. Stay up to date with the latest advancements in AI/ML and emerging technologies, such as generative AI and reinforcement learning. Conduct research and experiments to explore new AI techniques and applications, including prompt engineering, Advanced RAGs and fine-tuning LLMs. Ensure compliance with data privacy and security regulations, especially when dealing with sensitive data and generative AI outputs. This role will be responsible for briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management. Work Experience and Job Skills, Mainly sedentary; in an office environment May be required to lift up to ten (10) pounds Flexible in working extended hours The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position.

Please note: Candidate(s) will be required to go through pre-employment screening.

Requirements

3+ years of experience in the Information Technology field focusing on AI/ML engineering projects, MLOps and DevSecOps and technical architecture specifically. Proficiency in developing, deploying, and fine-tuning generative AI models, including large language models (LLMs). Strong proficiency in programming languages such as Python, R, Java and C/C++ (optional) Experience with machine learning and generative AI frameworks. Experience with natural language processing techniques (e.g., text classification, language generation). Solid understanding of any of the cloud platforms (e.g., AWS, Azure, GCP) and deployment strategies. Solid understanding of MLOps and DevSecOps practices for deploying AI-ML models and applications Proficiency in any front-end development technologies (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript). Knowledge of database systems (e.g., SQL, NoSQL, Vector Database, Graph Database)and data warehousing concepts. An understanding and competency surrounding data storage, accesses, and loading. Databases: PostgreSQL, NoSQL, Vector Databases, Graph Databases etc. ETL/ELT Concepts Data warehouse concepts SQL Competency in data exploration, analytics, and feature engineering. (Python Specific) Pandas / NumPy / Polars / PySpark Plotly / Matplotlib (some form of data visualization) Data encoding / normalizing / regularizing / etc. Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ability to apply to real world data sets and problems. Proficiency in ML Modeling - Scikit-Learn, Tensorflow, Keras, Pytorch. Proficiency in NLP Tools SpaCy, ThinC, Gensim. Knowledge of Gen-AI Tools Hugging Face models, OpenAI models, Grok. General competency in various ML disciplines like Classification, Forecasting, Transformers, Generative, Anomaly Detection and Deep Learning. Enthusiastic, proactive, positive attitude with great listening skills, high integrity, and the ability to work effectively in a team environment. Adaptability to changing priorities and a willingness to learn and grow are essential. Excellent organizational skills, and ability to effectively manage concurrent projects. Comprehensive problem-solving skills with exceptional attention to detail. Ability to learn, evolve, think creatively and proactively. Able to work under pressure (at times) and to be extremely flexible with changing priorities Ability to work independently and in a team setting, take ownership of and complete relatively complex tasks, effectively using available resources, as needed, with minimal guidance. Education:

Bachelor's Degree in Computer Science, Information Technology Management or Engineering is preferred. Alternative work-related experience, Military Duty, and/or specialized or higher education may be substituted. Certificates, Licenses and Registrations:

This federal program requires the candidates to be a United States Citizen. Must have an active DHS clearance. Any related systems engineering, or related technical certifications are desired. AWS/Azure/GCP AI/ML certifications are preferred but not required. Communication Skills:

Must have excellent written and verbal communication skills Ability to convey technical information to non-technical individuals. Demonstrated experience communicating effectively across internal and external organizations. Must work well in a matrixed team environment. Travel

About the company

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent excited to join that effort. To learn more about our exciting organization, please visit us at www.unissant.com.

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