Job Purpose:

We are looking for a talented MLOps Engineer to join our dynamic team and help us build scalable, efficient, and maintainable machine learning solutions.  You will be responsible for designing, developing, testing, and deploying machine learning pipelines and applications

You will be an integral part of the AIML and Decision Sciences Team, which operates within the Global Supply Chain (GSC) Digital & Tech division, contributing to its strategic objectives and innovation.

Key Responsibilities:

• You will be responsible for managing and automating the end-to-end lifecycle of our machine learning models.

• This position requires a blend of data engineering, software development, and DevOps skills to ensure our models are production-ready and performing optimally.

• Develop and maintain CI/CD pipelines for the deployment of machine learning models. Ensure models are deployed efficiently and securely.

• Support and enhance the existing MLOps platform strategy.

• Design and implement scalable infrastructure for data processing and model training using cloud platforms like AWS, Azure, or GCP.

• Partner with data scientists to understand model requirements and integrate them into production environments. Work with software engineers to embed ML models into applications.

• Continuously monitor the performance of deployed models. Set up automated systems for detecting and alerting on performance issues or anomalies.

• Optimize models for performance and scalability. Implement strategies for model versioning, rollback, and continuous improvement.

• Automate repetitive tasks related to model training, testing, and deployment.

• Develop tools and scripts to enhance ML workflows.

• Experience with edge computing tools and technologies (e.g., NVIDIA Jetson, Triton Inference server, etc.)

• Ensure adherence to responsible AI practices and principles.

Required Qualification & Skills:

• Master’s or Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience.

• Overall 5 to 8 years of experience in IT

• Proficient in AI, machine learning techniques, & SDLC.

• Proficient in Python and at least one of the following frameworks: TensorFlow, PyTorch, Scikit-learn, or Keras.

• Experience with cloud platforms -preferably Azure. containerization (Docker, Kubernetes, etc.), and CI/CD tools (Git, Jenkins, Gitlab,etc.).

• Experience with data pipelines and tools like Apache Spark and Kafka

• Strong communication and collaboration skills.

• Strong problem solving and analytical skills.

• Ability to work independently and in a team environment.

Desired Skills

• Familiarity with monitoring tools like Prometheus, Grafana, or ELK stack.

• Knowledge of machine learning best practices, such as data preprocessing, feature engineering, model validation, and deployment.

• Knowledge of Data engineering is desired.

• Knowledge or experience with at least one of the LLMs like OpenAI, LLama, Mistral, Dolly, Gemini, etc. is desired.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

It has come to our attention that the names of GlaxoSmithKline or GSK or our group companies are being used in connection with bogus job advertisements or through unsolicited emails asking candidates to make some payments for recruitment opportunities and interview. Please be advised that such advertisements and emails are not connected with the GlaxoSmithKline group in any way.

GlaxoSmithKline does not charge any fee whatsoever for recruitment process. Please do not make payments to any individuals / entities in connection with recruitment with any GlaxoSmithKline (or GSK) group company at any worldwide location. Even if they claim that the money is refundable.

If you come across unsolicited email from email addresses not ending in gsk.com or job advertisements which state that you should contact an email address that does not end in “gsk.com”, you should disregard the same and inform us by emailing [email protected], so that we can confirm to you if the job is genuine.