AI Engineer at Teradata

Teradata · Hyderabad, Telangana, India

📋 Job Details at a Glance 📍 Location Hyderabad, Telangana, India 🏢 Company Teradata 👥 Experience 2+ years 🎓 Qualification Bachelor’s degree in Computer Science or equivalent 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹18–₹25 LPA 🏢 Industry Technology 🛠 Key Skills Java Go Python REST APIs distributed systems SQL NoSQL Kubernetes cloud platforms Agentic AI AI Engineer at Teradata — Full Details & How to Apply Teradata is seeking an AI Engineer in Hyderabad, Telangana, India , where you'll work with cutting-edge technologies like Agentic AI and LLMs. This role offers a unique chance to enhance data-driven decision-making in a leading tech company. The demand for AI Engineer jobs is surging as companies increasingly rely on data analytics, making this role crucial for Teradata 's growth in the technology sector. As businesses strive to leverage data for strategic decisions, the expertise of AI Engineers becomes indispensable, positioning you at the forefront of innovation. Teradata is a leader in data analytics and cloud solutions, founded in 1979 and boasting over 10,000 employees globally. The company fosters a culture of collaboration and innovation, making it an ideal environment for aspiring AI Engineers to thrive and contribute to impactful projects. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s degree in Computer Science or equivalent and 2+ years experience to apply. This role offers a competitive salary ranging from ₹18–₹25 LPA , making it an attractive opportunity for those looking to advance their careers. As an AI Engineer, you will gain hands-on experience with essential skills such as Java , Go , Python , REST APIs , distributed systems , SQL , NoSQL , Kubernetes , and cloud platforms . This role not only opens doors to advanced technologies but also positions you for significant career progression in the rapidly evolving tech landscape. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the AI Engineer role at Teradata is to develop innovative AI models that enhance data processing capabilities, directly impacting client project success and operational efficiency. Develop AI models using Python and Java to improve data processing capabilities for client projects, ensuring high performance and scalability. Implement REST APIs to facilitate seamless integration of AI solutions with existing systems, enhancing overall system interoperability. Collaborate with cross-functional teams, including data scientists and product managers, to define project requirements and align on deliverables. Analyze performance metrics of AI models to ensure optimal functionality and user satisfaction, utilizing data-driven insights for improvements. Take ownership of project timelines, ensuring deliverables meet quality standards and deadlines, while managing stakeholder expectations. Document technical specifications and project progress to maintain clear communication with stakeholders, ensuring transparency throughout the project lifecycle. Engage with clients to troubleshoot AI-related issues , providing timely solutions and support to enhance client satisfaction. At Teradata , we foster an ownership culture where each AI Engineer has a direct impact on project outcomes and client success. Required Skills & Technical Competencies The ideal candidate for the AI Engineer position will possess a robust skill profile, focusing on specific technologies essential for developing advanced AI solutions. Technical Skills Java — intermediate — essential for developing scalable applications and enhancing data processing capabilities in client projects. Python — intermediate — used for scripting and building AI models , with familiarity in libraries like TensorFlow being beneficial. Kubernetes — intermediate — critical for managing containerized applications in cloud environments, ensuring efficient deployment of AI solutions. SQL — intermediate — necessary for database management and data retrieval, enabling effective data handling for AI model training. NoSQL — intermediate — important for managing unstructured data, facilitating the development of flexible AI applications. Agentic AI — entry — knowledge of this technology is important for developing intelligent systems that adapt to user needs. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in real-world applications. Eligibility Criteria This role is designed for recent graduates and professionals with a strong foundation in computer science and relevant experience in AI development. A Bachelor’s degree in Computer Science or a related field is required, providing essential programming knowledge. Eligible batches include 2023 to 2026 , allowing both recent and upcoming graduates to apply. Minimum of 2+ years of experience is preferred, but freshers with relevant internships or projects are also welcome. A minimum CGPA of 6.0 or 60% is expected to ensure a strong academic background. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting your technical skills and relevant projects. Include links to your GitHub or portfolio to showcase your work. Pro tip: Tailor your application to emphasize your experience with AI models and specific technologies mentioned in the job description for a stronger impact. Salary for AI Engineer at Teradata 💰 Compensation ₹18–₹25 LPA The advertised compensation for the AI Engineer role at Teradata is ₹18–₹25 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for AI Engineer Upskilling with the right resources significantly enhances your chances of selection for the AI Engineer role at Teradata . Recommended Courses & Resources Java — Essential for developing AI applications and systems. Go — Useful for building efficient, scalable applications in AI. Python — The primary language for AI and machine learning development. REST APIs — Critical for integrating AI services and applications. KodNest — A platform for hands-on coding experience in AI technologies. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Customize it to match the job description. ❌ Neglecting to showcase relevant projects — Highlight your technical abilities through specific examples. ❌ Using generic language — Provide specific examples of your work to strengthen your application. ❌ Overlooking formatting and clarity — Ensure your resume is easy to read and well-organized. ❌ Not preparing for technical interviews — Practice coding challenges relevant to AI. ❌ Ignoring the application deadline — Keep track of important dates to avoid missed opportunities. Before You Apply — Checklist ✅ Research Teradata 's recent projects and technologies to tailor your application. ✅ Update your resume to reflect relevant skills and experiences for the AI Engineer role. ✅ Prepare a cover letter that highlights your interest in AI and data analytics. ✅ Gather any necessary documents, such as transcripts or certificates, before applying. ✅ Double-check the application URL to ensure you are applying through the correct portal. ✅ Practice common interview questions related to AI and programming. ✅ Set reminders for follow-up after submitting your application. ✅ Review your online presence, including LinkedIn, to ensure it aligns with your application. Resume Tailoring & ATS Keywords for AI Engineer Optimizing your resume for ATS is crucial for securing an interview for the AI Engineer role at Teradata . ATS Keywords to Include AI Engineer Python Java Kubernetes REST APIs SQL NoSQL Agentic AI LLMs GitHub Copilot distributed systems cloud platforms Resume Tips for This Role Highlight your programming skills in Java and Python , as these are critical for the role. Emphasize any relevant projects or internships that demonstrate your experience with AI technologies. Include a portfolio link showcasing your work with AI models or applications. Optimize your resume for ATS by using keywords from the job description, particularly technical skills. Avoid including unrelated work experience that does not pertain to the AI Engineer role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic statements in your resume that do not specifically relate to the AI Engineer position. How to Apply for AI Engineer at Teradata Apply Now — Teradata Visit the Teradata careers portal and create an account to start your application. Upload your resume, ensuring it is tailored to the AI Engineer role and includes relevant keywords. Fill out the application form accurately, paying attention to detail. After submission, expect a confirmation email and keep an eye on your application status. Use the application tracking feature on the portal to monitor progress. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Teradata NexisGrow.com does not charge any fees for job applications. Teradata Teradata was founded in 1979 and is headquartered in San Diego, California . With a significant presence in Hyderabad, Telangana, India , the company employs over 10,000 professionals globally. Its extensive footprint spans across various countries, providing data analytics solutions to clients in multiple industries. The core offering of Teradata is the Teradata Vantage platform , which integrates advanced data analytics, machine learning, and AI capabilities. This platform empowers businesses to derive actionable insights from their data. Additionally, Teradata provides cloud solutions that enhance data management and analytics efficiency. Teradata has received accolades for its workplace culture, including a Glassdoor rating of 4.2 . The company emphasizes employee development through various programs, including mentorship and continuous learning opportunities. This commitment to fostering a positive work environment has earned Teradata recognition as a top employer in the technology sector. Recently, Teradata announced a strategic partnership with major cloud providers, enhancing its cloud capabilities. This initiative reflects the company's focus on innovation and adapting to market demands. Additionally, Teradata has invested in developing Agentic AI technologies, positioning itself at the forefront of AI advancements. For freshers in technology, Teradata offers a robust foundation in AI and data analytics. The company’s emphasis on skill development and exposure to cutting-edge technologies like Kubernetes and LLMs provides an excellent launchpad for a successful career. Joining Teradata equips individuals with the knowledge and experience needed to thrive in a rapidly evolving industry. Company Details Industry Technology Location Hyderabad, Telangana, India Connect With Us Careers Apply Now Website 🔗 careers.teradata.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for AI Engineer at Teradata? Eligibility Tap to expand + Answer Candidates with Bachelor’s degree in Computer Science or equivalent and 2+ years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Java, Go, Python, REST APIs, distributed systems. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹18–₹25 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Teradata? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Java, Go, Python, REST APIs, distributed systems. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the AI Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Java, Go, Python, REST APIs, distributed systems, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Teradata research, (5) Clear communication. ? What is the work culture like at Teradata? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Hyderabad Browse all Tech jobs Latest Fresher jobs More jobs at Teradata Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. 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