AI Engineer (Associate/Junior)

Job Title: AI Engineer (Associate/Junior)

Location: Washington, DC (Hybrid)
Client Domain: Banking

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.

Required Skills and Qualifications:

• Must be legally authorized to work in the USA and not require any visa sponsorship now or in future. 
• Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or a related field.
• 6 months to 1.5 years of related experience. 
• Basic understanding of machine learning concepts and techniques.
• Familiarity with programming languages such as Python, TypeScript or Java.
• Experience with ML libraries like TensorFlow, Pytorch or similar is an advantage.
• Understanding of data preprocessing techniques and tools.
• Strong analytical and problem-solving skills.
• Candidates should be able to commute/relocate to the job location.
• Candidates should be able to commit to work a minimum of 15 months.

Selection Process & Training: 

• Online assessment and technical interview by Quintrix.
• Client Interview(s). 
• 4 weeks of pre-employment online instructor-led training. 

Stipend paid during Training: 

• $500. 

Benefits:

• 2 weeks of Paid Vacation. 
• Health Insurance including Vision and Dental. 
• Employee Assistance Program. 
• Dependent Care FSA. 
• Commuter Benefits. 
• Voluntary Life Insurance.
• Relocation Reimbursement.

Thanks in advance for your time and consideration, please feel free to provide a current version of your resume. I look forward to hearing from you!