Junior AI Developer

Plano, TX - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Join our dynamic team as a Junior AI Developer and accelerate your career in artificial intelligence and machine learning. Leverage your strong Python skills and foundational AWS experience to build and deploy innovative AI-driven solutions in a collaborative enterprise setting. This is a fantastic opportunity for early-career professionals eager to gain hands-on experience and make a meaningful impact in the evolving world of AI and ML.

Key Responsibilities:

Assist in developing and deploying AI/ML models using Python and AWS services.
Support the design and maintenance of machine learning pipelines for training evaluation and deployment.
Contribute to building scalable AI tools and integrating them into enterprise applications.
Work with senior developers to implement NLP and GenAI models for data processing and automation.
Write clean efficient Python code to support AI development tasks.
Participate in testing debugging and optimizing models to ensure performance and accuracy.
Collaborate with cross-functional teams in Agile ceremonies and sprint planning.

Required Qualifications:

Bachelors degree in Computer Science Data Science Engineering or related field (or equivalent practical experience).
1 years of hands-on experience in AI/ML development.
Proficiency in Python programming for data analysis and model development.
Experience with AWS cloud services (e.g. S3 Lambda SageMaker) for model deployment and data handling.
Exposure to training and evaluating machine learning models using common libraries (e.g. scikit-learn TensorFlow PyTorch).
Strong problem-solving skills and eagerness to learn new AI/ML techniques.

Preferred Qualifications:

Knowledge of LLMs NLP techniques or Retrieval-Augmented Generation (RAG).
Experience with version control (Git) Jira or Agile project environments.
Exposure to data visualization tools (Power BI Tableau) for reporting and insights.
Understanding of basic MLOps practices such as CI/CD and model monitoring.

Benefits:

401(k).
Dental Insurance.
Health insurance.
Vision insurance.
We are an equal-opportunity employer and value diversity equality inclusion and respect for people.
The salary will be determined based on several factors including but not limited to location relevant education qualifications experience technical skills and business needs.

Additional Responsibilities:

Participate in OP monthly team meetings and participate in team-building efforts.
Contribute to OP technical discussions peer reviews etc.
Contribute content and collaborate via the OP-Wiki/Knowledge Base.
Provide status reports to OP Account Management as requested.

About us:
OP is a technology consulting and solutions company offering advisory and managed services innovative platforms and staffing solutions across a wide range of fields - including AI cybersecurity enterprise architecture and beyond. Our most valuable asset is our people: dynamic creative thinkers who are passionate about doing quality work. As a member of the OP team you will have access to industry-leading consulting practices strategies & and technologies innovative training & education. An ideal OP team member is a technology leader with a proven track record of technical excellence and a strong focus on process and methodology.

Key Responsibilities:

Assist in developing and deploying AI/ML models using Python and AWS services.
Support the design and maintenance of machine learning pipelines for training evaluation and deployment.
Contribute to building scalable AI tools and integrating them into enterprise applications.
Work with senior developers to implement NLP and GenAI models for data processing and automation.
Write clean efficient Python code to support AI development tasks.
Participate in testing debugging and optimizing models to ensure performance and accuracy.
Collaborate with cross-functional teams in Agile ceremonies and sprint planning.

Required Qualifications:

Bachelors degree in Computer Science Data Science Engineering or related field (or equivalent practical experience).
1 years of hands-on experience in AI/ML development.
Proficiency in Python programming for data analysis and model development.
Experience with AWS cloud services (e.g. S3 Lambda SageMaker) for model deployment and data handling.
Exposure to training and evaluating machine learning models using common libraries (e.g. scikit-learn TensorFlow PyTorch).
Strong problem-solving skills and eagerness to learn new AI/ML techniques.

Preferred Qualifications:

Knowledge of LLMs NLP techniques or Retrieval-Augmented Generation (RAG).
Experience with version control (Git) Jira or Agile project environments.
Exposure to data visualization tools (Power BI Tableau) for reporting and insights.
Understanding of basic MLOps practices such as CI/CD and model monitoring.

Benefits:

401(k).
Dental Insurance.
Health insurance.
Vision insurance.
We are an equal-opportunity employer and value diversity equality inclusion and respect for people.
The salary will be determined based on several factors including but not limited to location relevant education qualifications experience technical skills and business needs.

Additional Responsibilities:

Participate in OP monthly team meetings and participate in team-building efforts.
Contribute to OP technical discussions peer reviews etc.
Contribute content and collaborate via the OP-Wiki/Knowledge Base.
Provide status reports to OP Account Management as requested.