Data Engineer - GenAI

Data Engineer

• GenAI CGI Group, Inc.
• 3.6 Pittsburgh, PA Job Details $70,800
• $156,700 a year 1 day ago Benefits Paid parental leave Paid holidays Tuition reimbursement Paid time off Parental leave 401(k) matching Qualifications Data preprocessing Azure 6 years Computer Science Continuous Delivery (CD) implementation Software deployment MongoDB Scalable systems Prompt engineering Automating deployment processes Data Architecture Design (Architecture design skills) Analysis skills Bachelor's degree Cloud-based systems Machine learning Model deployment Bank experience Computer Engineering Developing data pipelines Scalability Model training Senior level AI Bachelor's degree in computer science Communication skills

Python Generative AI Full Job Description Position Description:

This role will require someone at our client site 5 days a week in either Pittsburgh, PA, Cleveland, OH, Birmingham, AL, or Dallas, TX. In this role, we are seeking a highly skilled and innovative Azure Generative AI Expert to design, develop, and implement cutting-edge AI solutions using Microsoft Azure's AI capabilities. The ideal candidate will leverage Azure OpenAI Service, Cognitive Services, and related tools to build robust AI models and solutions tailored to our business needs. This role demands a deep understanding of generative AI, prompt engineering, and cloud computing within the Azure ecosystem

Duties and Responsibilities:

.Design, develop, and deploy generative AI solutions leveraging Azure OpenAI Service and Azure Cognitive Services. .Create and optimize large language models (LLMs) for various use cases such as text generation, summarization, and content personalization. .Develop robust and scalable pipelines for data preprocessing, model training, and deployment. Examine new data system requirements and implement migration models. .Translate complex requirements into scalable and efficient architecture .Design and implement scalable ML pipelines with CI/CD automation, efficient model training, validation, and deployment across enterprise environments

Requirements:

.Bachelor's degree in computer science, computer engineering, or relevant field. .A minimum of 6 + years experience as a Data Engineer or similar role with 1-2 years specifically focused on GenAI or AI/ML projects .Strong knowledge data architecture in banking domain. .4 Years Work Experience in Python, Mongo .Strong hands-on experience with Microsoft Azure .Integrate LLMs with enterprise datasets using Azure Open AI. .Understanding of agentic frameworks (such as AutoGen or LangGraph) .

ML:

Familiar with CI/CD Pipeline, Jenkin, Model Training, Model Deployment .

GenAI:

Knowledge in LLM Models, Langchain , Hugingface .Excellent organizational and analytical abilities. .Outstanding problem solver. .Good written and verbal communication skills

Other Information:

CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $70,800.00

• $156,700.

00. CGI's benefits are offered to eligible professionals on their first day of employment to include: . Competitive compensation . Comprehensive insurance options . Matching contributions through the 401(k) plan and the share purchase plan . Paid time off for vacation, holidays, and sick time . Paid parental leave .Learning opportunities and tuition assistance . Wellness and Well-being programs Your future duties and responsibilities: .Design, develop, and deploy generative AI solutions leveraging Azure OpenAI Service and Azure Cognitive Services. .Create and optimize large language models (LLMs) for various use cases such as text generation, summarization, and content personalization. .Develop robust and scalable pipelines for data preprocessing, model training, and deployment. Examine new data system requirements and implement migration models. .Translate complex requirements into scalable and efficient architecture .Design and implement scalable ML pipelines with CI/CD automation, efficient model training, validation, and deployment across enterprise environments Required qualifications to be successful in this role: .Bachelor's degree in computer science, computer engineering, or relevant field. .A minimum of 6 + years experience as a Data Engineer or similar role with 1-2 years specifically focused on GenAI or AI/ML projects .Strong knowledge data architecture in banking domain. .4 Years Work Experience in Python, Mongo .Strong hands-on experience with Microsoft Azure .Integrate LLMs with enterprise datasets using Azure Open AI. .Understanding of agentic frameworks (such as AutoGen or LangGraph) .

ML:

Familiar with CI/CD Pipeline, Jenkin, Model Training, Model Deployment .

GenAI:

Knowledge in LLM Models, Langchain , Hugingface .Excellent organizational and analytical abilities. .Outstanding problem solver. .Good written and verbal communication skills

Other Information:

CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $70,800.00

• $156,700.

00. CGI's benefits are offered to eligible professionals on their first day of employment to include: . Competitive compensation . Comprehensive insurance options . Matching contributions through the 401(k) plan and the share purchase plan . Paid time off for vacation, holidays, and sick time . Paid parental leave .Learning opportunities and tuition assistance . Wellness and Well-being programs #LIPS1

Skills:

Data Engineering What you can expect from us: Together, as owners, lets turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction. Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our teamone of the largest IT and business consulting services firms in the world. Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business. CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at . You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned. We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members. All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances. CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGIs legal duty to furnish information.