Machine Learning Engineer

Ideapoke -
Bengaluru, Karnataka

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Job details

Full-time

Qualifications

Computer Science
Software deployment
Master's degree
Application development
SOAP
MCA
OpenStack
Pandas
AWS
Analysis skills
Bachelor's degree
Machine learning
Cloud development
REST
OpenCV
B.E.
Web services
Communication skills
Python

Full job description

Full time

About @Ideapoke

Emerging Technologies | Bengaluru, India

Ideapoke is a global, fast growing start-up with offices in Bengaluru, Bay Area, Tokyo and Shanghai. Our software, search and insights power the innovation agenda of the largest Fortune 500 and Global 2000 companies worldwide.

Our growth is powered by our people and their unwavering commitment to the company-wide vision, strong work ethic and an entrepreneurial do-it-all spirit. We push the boundaries and break existing thought processes with the strong belief that innovation amplifies success in every piece of work we do and by extension, amplifying the success of our clients.

Ideapoke likes to constantly learn, grow and make a difference. Join us and be part of our story.

Machine Learning Engineer

We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. You should be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.

What are my roles and responsibilities?

Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.

Verifying data quality, and/or ensuring it via data cleaning.

Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability.

Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

Supervising the data acquisition process if more data is needed.

Finding available datasets online that could be used for training.

Defining validation strategies.

Defining the preprocessing or feature engineering to be done on a given dataset.

Defining data augmentation pipelines.

Training models and tuning their hyperparameters.

Analyzing the errors of the model and designing strategies to overcome them.

Deploying models to production.

What skills and experiences would I bring into this role?

B.E/ B.Tech / MCA in computer science or a related field

2+ Years of ML experience.

Proficient in Python and basic libraries for machine learning such as scikit-learn and pandas

Expertise in visualizing and manipulating big datasets.

Proficient in OpenCV.

Basic working experience in OpenStack/AWS & cloud application development and deployment.

Experience in Web services (REST or SOAP)

Good analytical and communication skills

Startup work culture mindset.

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