Job Description:

We are looking for an experienced Senior Data Scientist with a robust foundation in Machine Learning, Artificial Intelligence, and
Large Language Models (LLMs). The ideal candidate will have hands -on
experience in building, deploying, and scaling AI/ML solutions and will work
closely with cross -functional teams to solve complex business problems.

Must Have Skills & Experience:

- 7+
years of hands -on experience as a Data Scientist with deep
expertise in Machine Learning and AI algorithms, including:

- Linear
Regression, Logistic Regression

- Decision
Trees, Random Forests

- K -Nearest
Neighbors (KNN)

- Neural
Networks

- NLP
/ NLU techniques

- 5+
years of experience with ML frameworks and libraries such as:

- TensorFlow,
PyTorch, Keras, Spark ML

- 4+
years of strong coding experience using:

- Python,
R, Scala, Go (any combination)

- Solid
experience with source control systems,



especially Git

- Robust
analytical, problem -solving, and data modeling skills

- Ability
to work independently and collaboratively in a fast -paced environment


Good to Have Skills:

- Experience
in Prompt Engineering and RAG (Retrieval -Augmented Generation)
system setup

- Hands -on
experience using LLMs to solve real -world business problems

- Experience
with microservices architecture and container technologies:

- Docker,
Kubernetes

- Practical
experience in deploying and managing services on Kubernetes

- Experience
with AWS cloud services, including but not limited to:

- SageMaker,
Comprehend, Lex, Rekognition, Transcribe

- EKS,
Lambda, S3

- Experience
troubleshooting and supporting production systems

- Good
understanding of CI/CD pipelines and tools such as:

- Jenkins,
GitLab CI


Qualifications:

- Bachelor’s
degree in Data Science or a related field is mandatory