Software Engineering Specialist

In one sentence

Responsible for the design, development, modification, debugging and/or maintenance of software systems. Works on specific modules, applications or technologies, and deals with sophisticated assignments during the software development process.

What will your job look like?

• Be accountable for and own specific modules within an application and provide technical support and guidance during solution design for new requirements, problem resolution for critical / complex issues while ensuring code is maintainable, scalable and supportable.
• Present demos of the software products to partners and internal/external customers, using technical knowledge to influence the direction and evolution of the product/solution.
• Investigate issues by reviewing/debugging code and providing fixes (analyzes and fixes bugs) and workarounds, will review changes for operability to maintain existing software solutions, will highlight risks and will help mitigate risks from technical aspects.
• Bring continuous improvements/efficiencies to the software or business processes by utilizing software engineering tools and various innovative techniques, and reusing existing solutions. By means of automation, reduces design complexity, reduces time to response, and simplifies the client/end-user experience.
• Represent/lead discussions related to product/application/modules/team (for example, leads technical design reviews). Establishes relationships with internal customers/partners

All you need is...

Key responsibilities:

• Extensive exposure of working with Various LLM’s such as Lama, Gpt and pthers

• Should have Hands on Experience of handling GenAI Use cases

• Candidate should have expertise and experience on Developing Cloud Jobs for Ingestion of Data for Learnings.

• Create partnership with project stakeholders to provide technical assistance regarding important decisions.

• Candidate will work on Development and implementation of Gen AI Use-cases in Live Production, as per requirement from Business /Users

Technical Skills:

Mandatory Skills:

1. Experience in Deep learning engineering (mostly on MLOps)

2. Strong NLP/LLM experience and processing text using LLM

3. Proficient in Python & Terraform programming.

4. Building backend applications (data processing etc) using Python and Deep learning frame works.

5. Deploying models and building APIS (FAST API , FLASK API)

6. Need to have experience working with GPU’S.

7. Working knowledge of Vector databases like 1) Milvus 2) azure cognitive search 3) quadrant etc

8. Experience in transformers and working with hugging face models like llama, Mixtral AI and embedding models etc.

Good to have:

1. Knowledge and experience in Kubernetes, docker etc

2. Cloud Experience working with VM’S and azure storage.

3. Sound data engineering experience.

Behavioral skills :

• Good communication with clients/operational managers – listening and providing answers

• Strong problem solving skills, ability to gather and assimilate information

• Ability to build from good relationships with clients/operational managers and colleagues

• Ability to be adapt and prioritize, work under pressure and meet deadlines

• Ability to think ahead and anticipate problems, issues and solutions

• Innovative approach, good Presentation skills

• Willing to work in shifts /extended hours