Artificial Intelligence Engineer - Machine Learning

Talent Basket
Multiple Locations
5 - 10 Years

Posted on: 27/05/2025

Job Description

Role : Lead AI engineer

Mandate skill set : Python, Data Science (AI/ML), SQL

Years of Experience : 5 to 12 years

Mandate skill : AI & ML 5+ years , Python : 4+ years , SQL 2+ years

Notice period : Immediate to max 15days

Location : Cochin/TVM/Remote

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

- Masters/Bachelors 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


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