AI/ML Engineer:

We are looking for an AI/ML Engineer who can associate with a larger team and be

able work on various Data Science and Machine Learning projects.

Specific Role Requirements:

● Must have at least 1-3 years of deep experience in building descriptive/

predictive analytical solutions.

● Must be able to clearly understand and articulate a data science problem and

work on it independently.

● Must be able to work with other team members regarding data science

problem solving approaches.

● Very strong in Statistics and Mathematics.

● Very Strong in Python, data structure and algorithms.

● Should have hands-on experience in handling various datasets and should be

familiar with data science and machine learning technique like—linear

regression, logistic regression, random forest, support vector machines,

ANOVA/ANCOVA, optimization techniques, time series modelling,

segmentation, decision tree, clustering, recommendation engines and

forecasting.

● Have hands-on experience with Deep learning techniques such as CNN,

Computer Vision, OpenCV, YOLO etc.

● Mandatory to have At-least 1 Full ML based Image processing product life

cycle experience.

● Have done projects on RNN and other novel techniques

● Ability to work on big data is a plus.

● Experience in implementing and scaling of analytics on cloud platform such as

AWS is required is a plus

● Hands-on experience in docker, web services (eg, REST, SOAP, WSDL etc.),

using Apache Commons Suite & Maven, SQL Database such as Oracle

MySQL, PostgreSQL etc. is a plus

General Requirements:

● Need to be curious and ask the right questions to frame problems and find

right analytic solutions

● Provide product and design level technical best practices

● Interface and communicate with the onsite coordinators

● Develop analytical strategies for business by leveraging the right analytical

techniques and technologies

● Documenting and presenting work to the client. Proactively recommending

and influencing changes in business decision-making.

● Completion of assigned tasks on time and regular status reporting to the lead