Data Scientist (5-8 yrs)

We are seeking an experienced Data Scientist with 5-8 years of hands-on experience in delivering solutions based on AI/ML algorithms. The ideal candidate will have a strong background in data analysis, machine learning, statistical modelling, and deep learning LLMs, RAG, and NLP Cloud services such as AWS. Hands-on experience in delivering customer-facing AI solutions is a must. You will work closely

with cross-functional teams, following Agile methodologies, to build robust and scalable AI-focused solutions for internal business utilization.

Key Responsibilities

- Understand business requirements, perform data analysis/preparation, identify appropriate AI/ML algorithms, train/validate AI/ML models and deploy them for application consumption.

- Implement Python-based APIs for application utilization

- Assist with building automated model training pipelines, deployment process

- Document all phases of the model development process

- Follow Agile development practices, including participation in Scrum ceremonies such as daily stand ups, sprint planning, and retrospectives

- Work closely with stakeholders to gather requirements, provide feedback, and ensure alignment on development goals

Key requirements

- 5-8 years of proven experience as a data scientist

- Extensive experience in Python

- Familiarity with statistical models such as linear/logistic regression, Bayesian models, classification/clustering, time series models

- Experience with deep learning models such as CNNs, RNNs, LSTM, Transformers

- Experience with LLMs, NLP and RAG architecture

- Working experience with Machine learning frameworks such as TensorFlow, PyTorch, Scikit learn

- Experience with ML model pipelines and DevOps tools for automated deployments. Proficient in version control using GitHub, including branching strategies, pull requests, and issue tracking

- Strong knowledge and hands-on experience with Agile development methodologies and working within Scrum teams

- Strong written and verbal communication skills, with the ability to collaborate across cross-functional teams