Senior DevOps Engineer

Your IT Future, Delivered.

Senior DevOps Engineer

Open to candidates PAN India.

With a global team of 5800 IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions. We work beyond global borders and push boundaries across all dimensions of logistics. You can leave your mark shaping the technology backbone of the biggest logistics company of the world. Our offices in Cyberjaya, Prague, and Chennai have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences.

Summary:

We are seeking for experienced Software Engineer to join our Generative AI team, DHL IT Services. As a Generative AI Software Engineer, you will be responsible for designing, developing, and deploying generative AI models, algorithms, and software applications which will include analyzing the functional and technical requirement to ensure it meet our customer needs.

What you will do:

• Design, develop, and implement generative AI models and algorithms to improve processes within the company.
• Use large language models (LLM) to generate natural language responses and assist in automating customer interactions.
• Develop and maintain software applications that leverage generative AI techniques to enhance operational efficiency.
• Utilize the prompting techniques to optimize the generative models.
• Prepare the raw unstructured data for ingestion into the models.
• Conduct extensive testing and debugging to ensure the reliability and accuracy of the solutions.
• Collaborate with other software engineers and contribute to the overall software development life cycle.
  
  
  

What you should have:

• Bachelor's or Master's degree in Computer Science, IT, Artificial Intelligence, Data Analytics or a related field.
• 6 years+ hands-on experience in Software Development Life Cycle (SDLC).
• Proficiency in programming languages such as Python and JavaScript (Node.js) for building robust and scalable applications.
• Solid understanding of natural language processing (NLP), large language models (LLM), machine learning (ML) algorithms and neural networks.
• Familiarity with chatbots and messaging platforms
• Experience with public cloud AI platforms such as Azure, GCP
• Familiarity with prompting techniques and best practices for fine-tuning generative models.
• Understanding of embedding and vectorization techniques for representing and manipulating data.
• Strong testing skills, including unit testing, integration testing, and performance testing.
• Proven ability to work in a multi-cultural and multi-functional environment.
• Able to work under stress and independently with minimum supervision.
• Good English communication skill and good team player.
• End-users focus and analytical mindset.
• Does that sound a bit like you? Let’s talk! Even if you don’t tick all the boxes below, we’d love to hear from you; our new department is rapidly growing and we’re looking for people with the can-do mindset to join us on our digitalization journey.
  
  
  

An array of benefits for you:

• Hybrid work arrangements to balance in-office collaboration and home flexibility.
• Annual Leave: 42 days off apart from Public / National Holidays.
• Medical Insurance: Self + Spouse + 2 children. An option to opt for Voluntary Parental Insurance (Parents / Parent -in-laws) at a nominal premium covering pre existing disease.
• In House training programs: professional and technical training certifications.