AI Architect ()

For WEN WOMENTECH PRIVATE LIMITED

8 - 15 Years

Up to 15 Days

Up to 50 LPA

1 Position(s)

Kochi, Trivandrum/Thiruvananthapuram, Work From Home

Posted 4 Days Ago

Job Skills

At least 6 years of experience working in Data Science field and is passionate about numbers, quantitative problems.

Deep understanding of Machine Learning models and algorithms.
Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same.

Machine Learning Algorithms:

Regression, Time Series
Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means, Clustering etc.
NLP, Text Mining
LLM (GPTs) – OpenAI, Azure OpenAI, AWS Bedrock, Gemini, Llama, Deepseek etc.
(knowledge on fine tuning/custom training GPTs would be an add-on advantage)
Deep Learning, Reinforcement Learning algorithm.

Frameworks:

Programming & Tools:

Building machine learning models using various packages in Python.
Knowledge & Experience on SQL, Relational Databases, NoSQL Databases and Datawarehouse concepts.
Understanding of AWS/Azure Cloud architecture.
Understanding on the deployment architectures of AI/ML models (Flask, Azure Function, AWS Lambda).
Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc).

To adhere to the Information Security Management policies and procedures.
Responsible for consulting for the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client.

Work closely with internal BU’s and business partners (clients) to understand their business problems and translate them into data science problems.
Design intelligent data science solutions that deliver incremental value to the end stakeholders.
Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models.
Develop the designed solutions into statistical machine learning models, AI models using suitable tools and frameworks.
Work closely with the business intelligence team to build BI system and visualizations that deliver the insights of the underlying data science model in most intuitive ways possible.
Work closely with application team to deliver AI/ML solutions as modular offerings.