Junior AI Engineer

About Mindlance : Founded in 1999

Mindlance

has been ranked as one of the fastest growing US Staffing firms by SIA for 9 consecutive years. We provide workforce solutions to Global 1000 companies in Technology, Engineering, Finance, Clinical Research, Scientific, Digital / Creative / Marketing space.

Mindful of the opportunity gap, we provide balanced solutions for both employers and job seekers—elevating the standards of recruitment practice to a whole new level . Our aim is to make a difference in the lives of job seekers by providing them with opportunities that broaden career horizons and expand skill sets. We take pride in being a strong driver of mindfulness and balance at workplace.

EEO :

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority / Gender / Disability / Religion / LGBTQI / Age / Veterans.”

Job Title : Junior AI Engineer

Job Category : Information Technology

Industry :

Banking - Financial Services

Job Location : Washington DC (Hybrid)

Zip Code : 20433

Top 3 / 5 Skills : Artificial Intelligence, Machine Learning, Python, SQL

Min & Max Pay Rate (Ex : $20.00 / hr. – $23.00 / hr.)

Job Title : Junior AI Engineer

Location :

Washington, DC (Hybrid)

Job Description

Quintrix is seeking passionate engineers looking to advance their careers in AI and Machine Learning with a prestigious client in the banking and financial services. This opportunity includes a comprehensive 4-week online pre-employment training program, designed to fit your schedule with 15 hours per week of instruction held after business hours. Participants who successfully complete the pre-employment training will receive a $500 stipend, along with in-demand skills, hands-on experience, and a clear pathway into a dynamic tech role.

Objectives :

• To assist in the design, development, and implementation of AI models and solutions that align with organizational objectives.
• To contribute to the evaluation, testing, and optimization of AI algorithms and software components.
• To support data processing and management tasks essential for AI workflows.
• To continually enhance technical skills and stay abreast of AI advancements.

Key Responsibilities (to be covered during training) :

Model Development :

Assist in building, training, and validating machine learning and deep learning models under supervision.

Data Handling :

Collect, preprocess, clean, and organize datasets required for training and evaluation of AI models.

Algorithm Implementation :

Translate theoretical AI concepts into practical code in languages such as Python, TypeScript, or Java.

Testing & Evaluation :

Participate in designing tests, evaluating model accuracy, and reporting results to the team.

Documentation :

Create clear, concise documentation for code, model architectures, and processes for internal use.

Collaboration :

Work closely with senior engineers, data scientists, and stakeholders to understand requirements and deliver assigned tasks.

Deployment Support :

Assist in deploying AI models and services to production environments under guidance.

Maintenance :

Monitor performance of deployed models and report any issues or anomalies for resolution.

Learning & Development :

Actively participate in internal training sessions, workshops, and other learning opportunities to advance AI knowledge.