📋 Job Details at a Glance 📍 Location Hyderabad, India 🏢 Company Novartis 👥 Experience 1-3 years 🎓 Qualification Junior / Associate level. Relevant technical qualification and demonstrated shipping experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills AI Model Development Scientific Data Analysis Informatics Systems Machine Learning Algorithms Research Data Architecture Specialist AI Engineer at Novartis — Full Details & How to Apply Novartis is seeking a Specialist AI Engineer in Hyderabad, India to support AI solutions for scientific research, with a specific focus on AI model development and scientific data analysis in hybrid work mode. This Specialist AI Engineer role directly contributes to scientific research by enabling data-driven decisions through AI model development and informatics systems . The position involves building and deploying machine learning algorithms and research data architecture to support scientific teams. The work focuses on practical implementation of AI tools within scientific informatics environments, ensuring data is effectively structured and analyzed for real-world research outcomes. The job posting outlines that this role is part of Novartis ’s technology team in Hyderabad. It emphasizes technical expertise in AI model development , scientific data analysis , and informatics systems . The position is designed for candidates with 1-3 years of experience and a junior or associate-level technical qualification. This role is part of Novartis recruitment for technology-driven scientific innovation. 2023, 2024, 2025, 2026 graduates are eligible. Candidates must hold a Junior / Associate level. Relevant technical qualification and demonstrated shipping experience . The role requires 1-3 years of experience . The salary is Not Disclosed . Applicants will gain hands-on experience in AI Model Development , Scientific Data Analysis , Informatics Systems , Machine Learning Algorithms , and Research Data Architecture . This role provides a foundation for progression into advanced AI roles within pharmaceutical technology and data science. It offers exposure to real-world scientific applications of AI, building a strong technical profile in a regulated industry. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No 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. Explore more Specialist AI Engineer jobs , Novartis recruitment , and Hyderabad, India jobs on our platform. Job Role & Responsibilities The Specialist AI Engineer at Novartis designs and deploys AI-driven informatics solutions to support scientific research in drug discovery, using machine learning algorithms to analyze high-dimensional biological datasets. This role directly enables data-driven decision-making in pharmaceutical development through scalable, validated AI models and system integrations. Design AI models using machine learning algorithms to predict molecular activity from research data architecture structures in drug screening pipelines. Apply scientific data analysis techniques to interpret genomic and proteomic datasets from clinical trials, using statistical validation metrics such as AUC and RMSE. Collaborate with scientific teams to integrate informatics systems that manage structured and unstructured research data across lab environments. Plan project workflows with defined milestones, using research data architecture to map data flow and ensure compliance with data governance standards. Monitor AI model performance in real-time using scientific data analysis dashboards that track accuracy, drift, and false positive rates. Document technical processes and project outcomes in standardized formats, including machine learning algorithm implementation logs and data validation reports. Maintain existing informatics systems by updating data pipelines and resolving errors in data ingestion from lab instruments using JSON or CSV formats. Resolve technical issues in AI model deployment by debugging machine learning algorithms that fail to converge on training datasets with missing values or outliers. This role demands direct ownership of AI solution performance, where every model update and system change has measurable impact on scientific research outcomes and data utilization efficiency metrics. Required Skills & Technical Competencies The role requires a strong foundation in AI Model Development , Scientific Data Analysis , Informatics Systems , Machine Learning Algorithms , and Research Data Architecture to deliver functional, reproducible solutions in pharmaceutical research environments. Technical Skills AI Model Development — intermediate — used to build predictive models for drug-target interactions using Python and scikit-learn in a controlled research environment. Scientific Data Analysis — intermediate — applied to analyze high-throughput screening data using statistical tools such as Pandas and NumPy to compute mean, variance, and confidence intervals. Informatics Systems — intermediate — required to design and maintain data management systems that store and retrieve experimental data in structured databases like PostgreSQL or MongoDB. Machine Learning Algorithms — intermediate — implemented to train classification models using gradient boosting or neural networks on labeled datasets with 100+ samples. Research Data Architecture — intermediate — used to structure data pipelines that connect lab instruments to centralized data stores with metadata tagging and version control. When preparing your resume, emphasize hands-on experience with machine learning algorithms in real research datasets, and include specific tools like scikit-learn , Pandas , or PostgreSQL in your technical bullet points. Eligibility Criteria This role is designed for candidates with a relevant technical qualification and 1–3 years of experience in AI, data science, or informatics, particularly in research or lab-based environments. Must hold a relevant technical qualification such as a B.Tech in Computer Science, Data Science, or a related field. Eligible batches are 2023 , 2024 , 2025 , and 2026 only. Minimum of 1 year of hands-on experience in AI, machine learning, or data analysis projects is required. CGPA or academic performance is not specified, but a solid academic record in technical subjects is expected. Must demonstrate project experience through a portfolio showing AI model development or data analysis tasks with measurable outcomes. Must have a documented portfolio that includes code, data, and analysis reports for at least one AI or informatics project. Documentation & Portfolio Requirements Your resume must include a clear section on project experience with specific tools like Python , scikit-learn , or PostgreSQL , and must list metrics such as accuracy, F1-score, or data processing time to validate technical performance. For this role, prioritize showcasing a portfolio that includes a machine learning algorithm trained on real research data, with clear documentation of data sources, model performance, and validation steps. Avoid generic statements — show measurable outcomes using scientific data analysis metrics. Salary for Specialist AI Engineer at Novartis 💰 Compensation Not Disclosed The advertised compensation for the Specialist AI Engineer role at Novartis is Not Disclosed . 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 Specialist AI Engineer Upskilling with the right resources significantly enhances your chances of selection for this specialized role. Recommended Courses & Resources Scientific Data Analysis — This course provides essential skills in analyzing complex datasets relevant to AI. KodNest — Offers hands-on experience with machine learning algorithms crucial for AI model development . Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating AI model development experience — Include relevant projects. ❌ Using a generic resume instead of tailoring it — Customize your resume to the specific responsibilities listed. ❌ Listing technologies without context — Specify where you applied these skills. ❌ Ignoring the experience requirement — Ensure you meet the 1-3 years of experience criteria. ❌ Adding unrelated technologies to increase keyword count — Focus on relevant skills only. ❌ Failing to verify the official Apply URL — Always check the job details before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Specialist AI Engineer Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include AI Model Development Scientific Data Analysis Informatics Systems Machine Learning Algorithms Research Data Architecture Technical Support Project Documentation Data Utilization Systems Engineering Technical Expertise Collaboration Problem-Solving Resume Tips for This Role Highlight AI model development experience prominently on your resume. Emphasize skills in scientific data analysis and informatics systems . Include projects that demonstrate the application of machine learning algorithms . Use exact keywords from the job description to align with ATS requirements. Avoid adding unsupported technologies or claims that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated experience or technologies that do not align with the job requirements. How to Apply for Specialist AI Engineer at Novartis Apply Now — Novartis Open the official Apply URL and confirm the job title and company is correct. Prepare a resume aligned with the required skills, responsibilities, qualifications, and experience. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if provided. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — Novartis NexisGrow.com does not charge any fees for job applications. Novartis Novartis is a technology company based in Hyderabad, India, operating with a hybrid work mode. It specializes in developing innovative informatics and AI solutions to support scientific research. The role of Specialist AI Engineer sits at the intersection of AI and scientific research, enabling data-driven discovery. The team designs, develops, and supports AI and informatics solutions for scientific research. Responsibilities include scientific data analysis , machine learning algorithms , and research data architecture . These efforts focus on enabling scientific teams to make effective use of data and technology through robust systems and applications. This role contributes directly to Novartis ’s mission of advancing scientific research through AI and informatics. It bridges technical development with scientific applications, ensuring data is leveraged effectively across research environments. Early-career professionals gain hands-on experience with AI model development , scientific data analysis , and machine learning algorithms . This exposure provides practical insight into applying AI and informatics in real-world scientific research settings. Company Details Industry Technology Location Hyderabad, India Connect With Us Careers Apply Now Website 🔗 novartis.wd3.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical qualification and 1-3 years of experience from the 2023, 2024, 2025, and 2026 batches can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer AI Model Development, Scientific Data Analysis, Informatics Systems, Machine Learning Algorithms, and Research Data Architecture are crucial. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer Review AI model development, familiarize yourself with scientific data analysis, understand informatics systems, prepare to discuss your technical expertise, and be ready to explain your collaborative experiences. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer The work mode is hybrid, based in Hyderabad, India. ? What career exposure can this role provide? Growth Tap to expand + Answer This role offers exposure to AI technologies, scientific research environments, and collaboration with scientific teams. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight AI model development, scientific data analysis, informatics systems, and relevant project experiences. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with scientific teams and focuses on effective data utilization. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, as the role requires 1-3 years of experience. 🔗 Explore More on NexisGrow More jobs in Hyderabad Browse all Tech jobs Latest Fresher jobs More jobs at Novartis 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. Naukri ki baat, NexisGrow ke saath • NexisGrow.com