Deep Learning Engineer

Trail
Bengaluru, Karnataka, India

About Us:

Trail is the context layer AI agents run on. We're building the missing layer between your company's rules, exceptions, and institutional knowledge and the agents trying to act on them. It's a governed graph that lets any agent or platform, including Trail agents, make the right call on your most complex business processes. Agents today fail not because models are weak, but because they're never given the judgment a business builds up over years. We're fixing that.

Learn more about us: here

About the Role

The role can be summed up as building and deploying cutting edge generalised deep learning architectures that can solve complex business problems like converting unstructured data into structured format without hand-tuning features/models. You are expected to build state of the art models that are best in the world for solving these problems, continuously experimenting and incorporating new advancements in the field into these architectures.

What we’re looking for

  • 5-8 years of experience in Deep Learning.
  • Strong foundational knowledge in deep learning concepts and architectures (LLMs and VLMs)
  • Demonstrated expertise in at least one specialised area of deep learning (NLP, computer vision, multimodal models, etc.)
  • Experience building and deploying production-grade Deep Learning systems at scale,
  • Familiarity with various large language models (GPT, LLaMA, Claude, etc.) and their applications
  • Strong software engineering practices including version control, CI/CD, and code quality
  • Ability to rapidly learn and apply new technologies and approaches.

Interesting Projects Other Senior DL Engineers Have Completed

  • Deployed large scale multi-modal architectures that can understand both text and images really well.
  • Built an auto-ML platform that can automatically select the best architecture, fine-tuning method based on type and amount of data.
  • Best in the world models to process documents like invoices, receipts, passports, driving licenses, etc.
  • Hierarchical information extraction from documents. Robust modeling for the tree-like structure of sections inside sections in documents.
  • Extracting complex tables — wrapped around tables, multiple fields in a single column, cells spanning multiple columns, tables in warped images, etc.
  • Enabling few-shots learning by SOTA finetuning techniques.

Score my resume against this job, free →

Questions about this job

How do I apply for the Deep Learning Engineer job at Trail?

Use the apply link on this page: you apply directly with Trail on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Trail want for this Deep Learning Engineer role?

The job description asks for Deep Learning, deep learning concepts and architectures, NLP, computer vision, multimodal models, production-grade Deep Learning systems, large language models and version control. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at Trail?

Apply to the Trail roles that match your experience, and tailor your resume to each job description: for this role that means showing Deep Learning, deep learning concepts and architectures, NLP. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Deep Learning Engineer job remote or onsite?

This is based in Bengaluru, Karnataka.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with Trail, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

Will you get shortlisted for this role? Check your match free →