Lead AI Engineer

Job Purpose Responsible for consulting for the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client.

Job Description / Duties & Responsibilities

Design intelligent data science solutions that delivers incremental value the end stakeholders

Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models

Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible.

Job Specification / Skills and Competencies

Preferably current location Ernakulam/ Trivandrum

Willing to work in hybrid/ Remote mode

Masters/Bachelor's in Computer Science or Statistics or Economics

At least 4 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

Understanding of and experience in one or more of the following 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)

Deep Learning, Reinforcement learning algorithm

Understanding of and experience in one or more of the machine learning frameworks -TensorFlow, Caffe, Torch etc.

Understanding of and experience of building machine learning models using various packages in one or more of the programming languages Python / R

Knowledge & Experience on SQL, Relational Databases, No SQL 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.

Soft Skills Required

Must be a good team player with good communication skills

Must have good presentation skills

Must be a pro-active problem solver and a leader by self

Manage & nurture a team of data scientists

Desire for numbers and patterns