We are looking for an Entry-Level AI/ML Engineer to join our growing team. This is an exciting opportunity for someone passionate about artificial intelligence, machine learning, and data analytics. You will work closely with our AI/ML engineering team to develop models, ensure ethical AI usage, and tailor AI solutions to meet specific client needs.

Key Responsibilities:

Model Development & Refinement: Assist in developing, training, and refining AI and machine learning models, particularly for use in BusinessGPT’s governance solutions.
Ethical AI Practices: Implement strategies for the ethical usage of AI, ensuring that models comply with legal, regulatory, and ethical standards.
Data Analysis: Analyze large datasets to derive insights and patterns, and feed these insights back into AI models for continuous improvement.
Custom AI Solutions: Work with clients and internal teams to customize AI solutions tailored to specific industry needs, including healthcare, finance, and law.
Collaborate with Engineers & Clients: Support senior engineers and collaborate with clients on AI solution deployment and troubleshooting to ensure smooth integration.
Automation & Tools: Assist in building automated pipelines for AI models and provide support for deploying AI/ML services.
Compliance with Data Privacy: Work to ensure that all AI processes adhere to privacy and data protection regulations, particularly in regulated industries.

Key Qualifications:

Education: Master’s degree in Computer Science, Data Science, AI, Machine Learning, or related fields. (Candidates with relevant experience and certifications may also be considered.)
Technical Skills:
- Proficiency in Python and SQL for building models and analyzing data.
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud for AI services.
- Knowledge of data visualization tools such as Tableau, Matplotlib, or Seaborn.
- Strong understanding of AI/ML algorithms and data preprocessing techniques.
Experience with AI: Experience in building and fine-tuning machine learning models, data analysis, and creating AI-based solutions.
Strong Problem-Solving Skills: Analytical thinker with the ability to address challenges in AI implementation.
Ethical Mindset: A keen interest in the ethical usage of AI and awareness of potential biases in AI models.
Team Player: Ability to work both independently and collaboratively with other engineers, project managers, and clients.

Preferred Qualifications:

Experience with cloud-based AI services (e.g., AWS AI/ML, Google Cloud AI).
Experience with Natural Language Processing (NLP) or Generative AI models like GPT.
Certifications such as AWS AI Practitioner, Google Cloud AI Engineer, or relevant AI/ML certifications.

Why Join ITScybersecurity?

Be part of a company driving innovation in AI governance and cybersecurity solutions.
Work in a dynamic, collaborative, and mission-driven environment.
Opportunity to shape the operational foundation of a rapidly growing company.

Compensation and Benefits:

Competitive salary and performance-based bonuses.
Comprehensive benefits package, including health insurance and paid time off.
Professional development opportunities.

How to Apply:
Interested candidates should send their resume and a cover letter detailing their experience and vision for the role to Edwige.its@gmail.com

ITScybersecurity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Type: Full Time

Job Location: DC Washington

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