Gen Ai Architect

**Location**:
Bangalore
**Availability**:
Less than 30 days.

**Background**:
Client Artificial Intelligence Advancement Center is looking for professionals experienced in NLP, Code generation LLM such as code Llama, BERT, agentic frameworks. Focus is code generation for windows system related python code.

Hands-on programmer with python and other languages. Worked on multiple NLP tools and techniques like BERT, LSTM, RNN, DL-based sequence models and transformers in their day-to-day work.

Hands-on programming, design solutioning track record, stakeholder management.

**Responsibilities**:

- Develop code generation extension for internal system that generates code using proprietary libraries and frameworks.
- Build modular AI/ML products that could be consumed at scale.

**Experience**:
10+

**Education**:
Bachelor's or master's degree in computer science, Engineering, Math or Science.
Performed any modern NLP MOOC courses/open competitions is also welcomed.

**Technical Requirements**:
**Soft Skills**:
**GenAI Skills**:

- Experience in LLM models like PaLM, GPT4, Mistral (open-source models),
- Work through the complete lifecycle of Gen AI model development, from training and testing to deployment and performance monitoring.
- Developing and maintaining AI pipelines with multimodalities like text, image, audio etc.
- Have implemented in real-world Chat bots or conversational agents at scale handling different data sources.
- Efficiently handled large-scale generative AI datasets and outputs.

**ML/DL Skills**:

- Comfort level to code in Huggingface, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas.
- Comfort level to use two/more of open-source NLP modules like SpaCy, HuggingFace, TorchText, fastai.text, farm-haystack, and others.

**NLP Skills**:

- Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering etc)
- Have implemented in real world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment.

**Python Project Management Skills**:

- Familiarity in the use of Docker tools, pipernv/conda/poetry env
- Comfort level in following Python project management best practices (use of setup.py, logging, pytests, etc.,)
- Familiariaty in the use of Github is must.

**Cloud Skills and Computing**:

- Use of GCP services like BigQuery, Cloud function, Cloud Build, VertexAI.
- Good working knowledge on other open-source packages to benchmark and derive summary.
- Experience in using GPU/CPU of cloud and on-prem infrastructures.
- Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs.

**Deployment Skills**:

- Use of Dockers(experience in experimental docker features, docker-compose, etc)
- Familiarity with orchestration tools such as airflow, Kubeflow
- Experience in CI/CD, infrastructure as code tools like terraform etc.
- Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc.

**Miscellaneous Skills**:
Data Engineering:

- Skillsets to perform distributed computing (specifically paralielism and scalability in Data Processing, Modelling and inferencing through Spark, Dask, RapidsAI or RapidscuDF)
- Experience in Elastic search and Apache Solr is a plus, vector databases
- Experience with.Net, windows OS or any other OS systems and peripherals.

**Operational mode**:
Full time employee of client of ManoMaya (A Tier 1 IT solution provider).

**Job Types**: Full-time, Permanent

Pay: ₹3,000,324.22 - ₹3,560,863.04 per year

**Benefits**:

- Health insurance

Schedule:

- Day shift
- Monday to Friday

Application Question(s):

- Did you do any LLM fine-tuning for specific project needs?
- What is your expected CTC?
- What is your notice period? Do you have other offers and what is the joining date?
- Did you train LLM model such as Llama?
- Are you comfortable with BERT, transformers, LLMs and related tech?
- Are you comfortable with full stack development?
- Did you work on any agentic frameworks and NLP project that went to production?
- Are you ready to commute to Bangalore?

Work Location: In person