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Weekend Artificial Intelligence Machine Learning information

What are the key skills and qualifications needed to thrive as a Weekend Artificial Intelligence Machine Learning Specialist, and why are they important?

To thrive as a Weekend Artificial Intelligence Machine Learning Specialist, you need a solid background in mathematics, statistics, and programming, typically with a degree in computer science or a related field. Experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of data processing tools and cloud platforms, are often required along with relevant certifications. Strong problem-solving abilities, time management, and effective communication skills help professionals excel during limited weekend hours. These competencies ensure that complex AI/ML tasks are efficiently addressed and projects move forward even within a condensed work schedule.

What are some common challenges faced by professionals working in a weekend Artificial Intelligence Machine Learning role?

Professionals in weekend AI/ML roles often face the challenge of balancing project deadlines with limited working hours, which requires strong time management and prioritization skills. Collaboration can also be more complex, as team members may work on different schedules, making clear communication and documentation especially important. Additionally, staying updated with rapidly evolving AI/ML tools and frameworks can be demanding, so dedicating time for continuous learning is essential. Despite these challenges, weekend roles can offer flexibility and the opportunity to work on cutting-edge projects while accommodating other commitments.

What are Weekend Artificial Intelligence Machine Learning jobs?

Weekend Artificial Intelligence Machine Learning jobs are positions that allow professionals to work specifically on weekends, focusing on tasks related to AI and machine learning. These roles can involve data analysis, model development, algorithm optimization, or supporting AI projects, often in a part-time or contract capacity. They are ideal for individuals seeking flexible work schedules or those wanting to gain experience in AI/ML outside of traditional weekday hours. Such positions are available in various industries, including tech, healthcare, finance, and more.

What is the difference between Weekend Artificial Intelligence Machine Learning vs Data Scientist?

AspectWeekend Artificial Intelligence Machine LearningData Scientist
Required CredentialsRelevant certifications in AI/ML, programming skillsDegree in Data Science, Statistics, or related fields
Work EnvironmentPart-time, project-based, flexible hoursFull-time, office or remote, collaborative teams
Employer & Industry UsageTech companies, startups, research labsBusiness, finance, healthcare, tech sectors
Common Search & ComparisonOften compared for AI/ML roles with flexible schedulesBroader data analysis roles, often full-time

Weekend Artificial Intelligence Machine Learning roles focus on part-time, flexible projects requiring AI/ML skills and certifications, often in tech environments. Data Scientists typically work full-time in data analysis, requiring advanced degrees and broader industry applications. Both roles involve data handling but differ in work hours, environment, and career scope.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Virginia? The most popular types of Artificial Intelligence Machine Learning jobs in Virginia are:
What are popular job titles related to Weekend Artificial Intelligence Machine Learning jobs in Virginia? For Weekend Artificial Intelligence Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Weekend Artificial Intelligence Machine Learning jobs in Virginia look for? The top searched job categories for Weekend Artificial Intelligence Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Weekend Artificial Intelligence Machine Learning jobs? Cities in Virginia with the most Weekend Artificial Intelligence Machine Learning job openings:
Weekend Artificial Intelligence Machine Learning jobs near you

Artificial Intelligence/ Machine Learning Developer

Unissant

Ashburn, VA • On-site

$50.25 - $69/hr

Full-time

Posted 21 days ago

Job description

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 .
We are seeking an Artificial Intelligence/Machine Learning Developer to join our team and support our federal customer.
Qualified applicants may be subject to a security 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.
Essential Duties and Responsibilities:
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:
  • 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:
  • On-site in Ashburn, VA

Environmental Requirements:
  • 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.
Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets)

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