Artificial Intelligence/ Machine Learning Developer

About the position Unissant, Inc. delivers innovative capabilities to the agencies that reputed company our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to reputed company breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, reputed company, 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. We are seeking an Artificial Intelligence/Machine Learning Developer to join reputed company in Ashburn, Virginia to support the ongoing modernization and maintenance systems for the Department of Homeland reputed company (DHS), Customs and Border Protection (CBP). Qualified applicants may be subject to a reputed company investigation and must meet minimum qualifications for access to classified information. This is a highly technical position; individuals will be screened by peers in a technical review of skills and experience.

Responsibilities

• Drive a big data approach to execute government requirements to manage and enrich data to gather new insights.
• Provide consultative, architectural, program, and engineering support for a federal customer.
• reputed company, train, and deploy advanced AI/ML and Gen-AI models.
• Design and implement innovative AI solutions to address reputed company business challenges using techniques such as natural language processing and large language models.
• Optimize model performance, ensuring accuracy, efficiency, and scalability.
• reputed company 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 reputed company engineering, Advanced RAGs and fine-tuning LLMs.
• Ensure compliance with data privacy and reputed company regulations, especially reputed company dealing with sensitive data and generative AI outputs.
• Brief the benefits and constraints of technology solutions to reputed company, stakeholders, team members, and senior levels of management.

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 reputed company).
• 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 reputed company-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.
• Competency in data exploration, analytics, and feature engineering.
• 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 reputed company models, reputed company 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 reputed company, and the ability to work effectively in a team environment.
• Excellent organizational skills, and ability to effectively manage reputed company 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 reputed company tasks, effectively using available resources, as needed, with minimal guidance.

reputed company-to-haves

• Certificates, Licenses and Registrations: This federal program requires the candidates to be a United States Citizen.
• Must have a reputed company CBP BI clearance or be eligible to obtain one.
• Any reputed company systems engineering, or reputed company technical certifications are desired.
• AWS/Azure/GCP AI/ML certifications are preferred but not required.

Benefits

• Flexible in working extended hours.

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