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Machine Learning Engineer IRC198121

Job: IRC198121
Location: India - Bangalore
Designation: Associate Consultant
Experience: 5-10 years
Function: Engineering
Skills: Hadoop, Machine Learning, Python, SQL
Work Model: Hybrid

Description:

Machine Learning Engineer
Good Python programming skills
5-8 years proven experience working in data science, data engineering, product analytics, or other related field.
Degree in engineering, statistics, mathematics or related fields are strongly preferred.
Ability and preference to work in a constantly evolving and less defined business environment.
The ability to work with disparate teams, often in different geos, prioritize tasks and following up on them is crucial for success in this role.
Experience with machine learning, artificial intelligence, and/or econometrics is strongly preferred.
Knowledge of the advertising and/or digital marketing industry preferred but not required.

Knowledge and experience with
Python 3
SQL, Hadoop/Hive
Cloud experience
Build tools like Maven, Bazel
Docker, Kubernetes
Kubernetes operators, CRD’s like Kubeflow, Argo
Machine Learning Concepts
Statistics and Probability
Regression/Logistic regression
Understanding of machine learning models
Experience with forecasting, minhashes and sketches
Experience with production deployments
Excellent communication and documentation skills

Requirements:

Machine Learning Engineer
Good Python programming skills
5-8 years proven experience working in data science, data engineering, product analytics, or other related field.
Degree in engineering, statistics, mathematics or related fields are strongly preferred.
Ability and preference to work in a constantly evolving and less defined business environment.
The ability to work with disparate teams, often in different geos, prioritize tasks and following up on them is crucial for success in this role.
Experience with machine learning, artificial intelligence, and/or econometrics is strongly preferred.
Knowledge of the advertising and/or digital marketing industry preferred but not required.

Knowledge and experience with
Python 3
SQL, Hadoop/Hive
Cloud experience
Build tools like Maven, Bazel
Docker, Kubernetes
Kubernetes operators, CRD’s like Kubeflow, Argo
Machine Learning Concepts
Statistics and Probability
Regression/Logistic regression
Understanding of machine learning models
Experience with forecasting, minhashes and sketches
Experience with production deployments
Excellent communication and documentation skills


Job Responsibilities:

Machine Learning Engineer
Good Python programming skills
5-8 years proven experience working in data science, data engineering, product analytics, or other related field.
Degree in engineering, statistics, mathematics or related fields are strongly preferred.
Ability and preference to work in a constantly evolving and less defined business environment.
The ability to work with disparate teams, often in different geos, prioritize tasks and following up on them is crucial for success in this role.
Experience with machine learning, artificial intelligence, and/or econometrics is strongly preferred.
Knowledge of the advertising and/or digital marketing industry preferred but not required.

Knowledge and experience with
Python 3
SQL, Hadoop/Hive
Cloud experience
Build tools like Maven, Bazel
Docker, Kubernetes
Kubernetes operators, CRD’s like Kubeflow, Argo
Machine Learning Concepts
Statistics and Probability
Regression/Logistic regression
Understanding of machine learning models
Experience with forecasting, minhashes and sketches
Experience with production deployments
Excellent communication and documentation skills


What We Offer

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

About GlobalLogic

GlobalLogic is a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise—we help our clients imagine what’s possible, and accelerate their transition into tomorrow’s digital businesses. Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending our deep expertise to customers in the automotive, communications, financial services, healthcare and life sciences, manufacturing, media and entertainment, semiconductor, and technology industries. GlobalLogic is a Hitachi Group Company operating under Hitachi, Ltd. (TSE: 6501) which contributes to a sustainable society with a higher quality of life by driving innovation through data and technology as the Social Innovation Business.

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