GCP Machine Learning Data Engineer (Hybrid)

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.

Practice - AIA - Artificial Intelligence and Analytics

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future - a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies. By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant's AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret, and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

Job Summary

The ideal candidate will have extensive expertise in Google Cloud technologies including IAM STT TTS Gen AI and more. This role requires proficiency in Node JS and Python and the ability to work in a hybrid model. The associate will play a crucial role in designing and implementing solutions that leverage Google Cloud Platform services to drive innovation and efficiency.

Responsibilities

• Lead the design and implementation of cloud-based solutions using Google Cloud Platform services.
• Oversee the integration of Google Cloud IAM GCP STT and GCP TTS into existing systems.
• Provide expertise in GCP Gen AI speech vision code-bison text-bison and chat-bison to enhance application capabilities.
• Utilize Google Vertex AI to develop and deploy machine learning models.
• Implement Google Cloud Natural Language and Dialogflow Virtual Agents to improve user interactions.
• Leverage Google Translation and Google Assistant to create multilingual and voice-activated applications.
• Develop serverless applications using Google Cloud Functions.
• Manage containerized applications with Google Kubernetes Engine.
• Design and implement conversational interfaces using Google Dialogflow.
• Write and maintain code in Node JS and Python to support various cloud-based applications.
• Collaborate with cross-functional teams to ensure seamless integration of cloud services.
• Provide technical guidance and mentorship to junior team members.
• Ensure solutions are scalable secure and optimized for performance.

Qualifications

• Possess a deep understanding of Google Cloud IAM GCP STT and GCP TTS.
• Have hands-on experience with GCP Gen AI speech vision code-bison text-bison and chat-bison.
• Demonstrate proficiency in Google Vertex AI and Google Cloud Natural Language.
• Show expertise in Dialogflow Virtual Agents and Google Translation.
• Be skilled in developing applications with Google Assistant and Google Cloud Functions.
• Have experience with Google Kubernetes Engine and Google Dialogflow.
• Be proficient in Node JS and Python programming languages.
• Exhibit strong problem-solving skills and the ability to work in a hybrid model.
• Have excellent communication and collaboration skills.
• Be committed to continuous learning and staying updated with the latest Google Cloud technologies.
• Demonstrate the ability to mentor and guide junior team members.
• Ensure all solutions adhere to best practices and industry standards.
• Be able to work independently and manage multiple projects simultaneously.

Certifications Required

Google Cloud Professional Cloud Architect Google Cloud Professional Data Engineer Google Cloud Professional Machine Learning Engineer

Salary and Other Compensation:

Applications will be accepted until 05/17/2025

The annual salary for this position is between $90,000 - $120,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Cognizant is an Equal Opportunity Employer M/F/D/V. Cognizant is committed to ensuring that all current and prospective associates are afforded equal opportunities and treatment and a work environment free of harassment. Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network Assists Veterans in building and growing a career at Cognizant that allows them to leverage the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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