GSK Off Campus Drive 2026 | Apprentice Software Engineer (AI) | Bengaluru — Apply Now

GSK Off Campus Drive 2026 is now open! GSK (GlaxoSmithKline), one of the world’s leading global biopharma companies, is actively hiring an Apprentice Software Engineer (AI) for its Bengaluru office. This is a fantastic opportunity for 2024, 2025, and 2026 batch graduates with a passion for artificial intelligence and software development to kickstart their careers with a globally respected organisation. Read on for the complete eligibility criteria, responsibilities, and application steps.

GSK Off Campus Drive 2026 – Full Job Details

About GSK (GlaxoSmithKline)

GSK is a global biopharma company with a clear purpose: uniting science, technology, and talent to get ahead of disease together. Headquartered in London, UK, GSK operates across more than 75 countries and employs over 70,000 people worldwide. The company has a strong and growing presence in India, with major technology and research hubs in Bengaluru, and is focused on four key therapeutic areas – respiratory, immunology and inflammation, oncology, HIV, and infectious diseases. GSK India is recognised as one of the top employers for engineering and technology professionals, offering a collaborative environment, global exposure, and meaningful work that positively impacts healthcare for millions of people.

Role Overview – Apprentice Software Engineer (AI)

As an Apprentice Software Engineer (AI) at GSK Bengaluru, you will work directly alongside experienced engineering and AI teams on real-world applied projects. This apprenticeship gives you hands-on exposure to the full machine learning model lifecycle – from data preprocessing and model training through to deployment and monitoring – while receiving structured mentorship to develop both your technical and professional skills. It is a hybrid role based at the GSK Bengaluru Luxor North Tower, offering the best of collaborative in-office work and flexible remote days.

Key Responsibilities

• AI/ML Prototype Development: Support the design, development, and testing of AI and machine learning prototypes and small product features in collaboration with senior engineers and data scientists.
• Data Pipeline Implementation: Preprocess and analyse datasets, and implement robust data pipelines to support experimentation and model training workflows.
• Model Training & Evaluation: Train, evaluate, and iteratively improve machine learning models using industry-standard frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Project Coordination (Smartsheet): Use Smartsheet or similar project management tools to track tasks, timelines, and collaboration across cross-functional teams.
• Model Deployment & Monitoring: Assist with model deployment pipelines, monitor model performance in production, and ensure reproducibility of experiments through proper documentation and version control.
• Code Quality & Documentation: Write clean, well-structured code with unit tests and thorough documentation; maintain version control using Git and follow GSK’s engineering best practices.
• Compliance & Security: Learn and actively apply GSK’s security, privacy, and compliance guidelines in all day-to-day tasks, ensuring data handling meets regulatory standards.

Eligibility Criteria

• Educational Qualification: Bachelor’s degree (B.E/B.Tech) in Computer Engineering, Computer Science, Electronics, or a closely related engineering field
• Batch Year: 2024, 2025, or 2026 passout graduates; final-year students completing their degree are also eligible to apply
• Academic Performance: No specific percentage or CGPA mentioned; strong academic record preferred
• Technical Skills: Demonstrable foundational knowledge in AI/ML through coursework, personal projects, or internships; strong programming skills in Python; familiarity with Git version control
• Communication Skills: Excellent verbal and written communication skills; must be comfortable presenting technical work clearly to non-technical audiences
• Attitude & Work Ethic: Positive, proactive attitude with a strong willingness to learn, accept feedback, and grow within a collaborative team environment

Selection Process

The GSK Off Campus Drive 2026 follows a structured selection process designed to assess both technical aptitude and cultural fit:

• Round 1 – Online Application Review: GSK’s talent team reviews submitted applications, resumes, and any linked projects or portfolios to shortlist candidates who meet the eligibility requirements.
• Round 2 – Technical Assessment: Shortlisted candidates are invited for a technical screening covering Python programming, AI/ML fundamentals, and problem-solving skills.
• Round 3 – Technical + HR Interview: Final-round interviews with engineering leads and HR to evaluate technical depth, communication ability, and alignment with GSK’s values and culture.

Salary & Benefits

GSK has not disclosed the exact compensation for this Apprentice Software Engineer (AI) role. However, GSK is widely known for offering competitive remuneration packages that are in line with or above industry standards for global biopharma companies. In addition to salary, GSK offers benefits such as comprehensive health insurance for employees and their families, access to internal learning platforms and mentorship programmes, and a structured apprenticeship plan that provides real career development. Working at GSK also means being part of a purpose-driven culture where your work directly contributes to improving global health outcomes.

How to Apply for GSK Off Campus Drive 2026

1. Click the “Apply Now” button below.
2. You will be redirected to the official GSK careers page for Job ID 439925.
3. Create a GSK careers account or log in if you already have one.
4. Fill in the application form with your personal, academic, and work experience details.
5. Upload your updated resume in PDF format, along with any relevant project portfolio links.
6. Submit the application and save your application reference number for future follow-up.

Note: freshershunt.in is a job information platform. We are not the recruiter. Always verify details on the official GSK careers page before applying.

Frequently Asked Questions – GSK Off Campus Drive 2026

Q1. Who is eligible to apply for GSK Off Campus Drive 2026?

Candidates who have completed or are in the final year of a B.E/B.Tech degree in Computer Science, Computer Engineering, Electronics, or a related engineering field from the 2024, 2025, or 2026 graduation batches are eligible. There is no specific CGPA cutoff mentioned, but a strong academic record along with demonstrated foundational AI/ML knowledge is expected.

Q2. What is the salary offered in GSK Off Campus Drive 2026?

GSK has not disclosed the exact salary for this Apprentice Software Engineer (AI) role. Compensation will be competitive and in line with industry standards for global biopharma technology roles. Candidates can expect an offer consistent with what leading MNCs pay for entry-level engineering apprentice positions in Bengaluru.

Q3. What is the job location for this role?

The position is based at the GSK Bengaluru Luxor North Tower, Bengaluru, Karnataka. It is a hybrid role, which means employees are expected to work from the Bengaluru office on scheduled days while also having the flexibility to work remotely on other days.

Q4. What is the selection process for GSK Off Campus Drive 2026?

The selection process typically involves three stages: an initial application and resume review by the GSK talent team, followed by a technical assessment covering Python and AI/ML fundamentals, and finally a technical-plus-HR interview round with engineering leads to evaluate skills and cultural fit with GSK’s values.

Q5. What is the last date to apply for GSK Off Campus Drive 2026?

The exact last date has not been announced. We recommend applying as soon as possible since positions fill up quickly. Click the Apply Now button above to check the current status on the official GSK careers page.

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