Data Scientist trustwave - Bengaluru, India - Encora

Encora

Verified Company

Bengaluru, India

1 week ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

here

About ENCORA:

Encora, a product engineering and services company provides unmatched opportunities for professional development, benefits, total rewards, and an extraordinary caring culture.

It's a Warburg Pincus portfolio company with 20+ offices/ innovation labs and 7600+ talent strength worldwide. Encora works across domains like - FinTech - HealthTech - Security - Logistics & Supply Chain Security - Logistics & Supply Chain

Digital Commerce
Travel & Hospitality
Real Estate
LendTech. Encorians find a wide range of opportunities to grow with us, whether it is handson experience on high impact challenging projects, learning about top technologies, or helping others by sharing what they knowWe have long been recognized as a Great Place to Work.
We strive to create an inclusive, caring culture in which people with diverse backgrounds and talents can be their absolute best.

Why Encora?
Encora provides unmatched opportunities for professional development, benefits, total rewards, and an extraordinary caring culture.

What We Do?
We drive transformational outcomes for clients through our agile methods, micro-industry vertical expertise, and extraordinary people.

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Professional Development:

Encorians find a wide range of opportunities to grow with us, whether it is hand-on experience on high impact challenging projects, learning about top technologies, or helping others by sharing what they know.

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Benefits:

We care about you as a whole person.

That is why, as an Encorian, you will receive a broad range of benefits, including health insurance, paid time off, and wellness programs designed to promote physical, emotional, and financial well-being.

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Total Rewards:

Encorians also receive competitive compensation. Innovative recognition programs reward your efforts and success throughout your career. We are proud to see you grow

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Culture:

We have long been recognized as a Great Place to Work.

We strive to create an inclusive, caring culture in which people with diverse backgrounds and talents can be their absolute best.

Please find the job description

As a skilled Machine Learning engineer; you will be one of our resident experts for machine learning and model development.

Combined with extensive knowledge of AI & ML, you will help solve a wide range of problems, from exploratory data analysis to model deployment.

Your understanding of the machine learning landscape will inspire our product and engineering direction to ensure our products/services remain at the cutting edge of ML Security Ops.

Responsibilities:

Identify valuable data sources and automate mining/collection processes.
Use largescale data processing frameworks such as Spark, AWS EMR for feature engineering and be proficient across various data, both structured and unstructured.
Use Deep Learning models like CNN, RNN, and NLP (BERT) to solve business use cases like name entity resolution, forecasting, and anomaly detection.
Analyze large amounts of data/information to discover and articulate trends and patterns.
Build and train productiongrade ML models on largescale datasets to solve various business use cases for Cyber Security Industry
Build predictive statistical models or machinelearning algorithms as appropriate
Develop conclusive insights using statistical methods.
Present and communicate data insights/findings, creating visualizations to aid in understanding data.
Make and defend arguments using data and databased insight.
Architect and work closely with other team members to develop scalable cloudbased data analytic solutions.

Skills & Experience (required):

Minimum 3+ years of working experience as a data scientist
Expertise with Python, PySpark, DL frameworks like TensorFlow and MLOps.
Experience in designing and building highly scalable distributed ML models in production (Scala, applied machine learning, proficient in statistical methods, algorithms)
Experience with analytics (ex: SQL, Presto, Spark, Python, AWS suite)
Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization)
Experience working with endtoend pipelines using frameworks like KubeFlow, TensorFlow and/or crowdsourced data labeling is a plus.
Strong experience presenting technical information to a technically diverse audience.
Prior experience designing, implementing, testing, and shipping productionquality AI/ML software in an industrial setting.
Critical thinker that is comfortable supporting collaborative problemsolving in a team environment

Strong written and communication skills