Manager/Architect_MLOPs

at Tredence

Manager/Architect_MLOPs

Tredence

Company

Home

Manager/Architect_MLOPs

at Tredence

Posted by Suchismita Das

8 - 10 yrs

Best in industry

Bengaluru (Bangalore), Gurugram, Chennai, Pune

Skills

Machine Learning (ML)

Data Science

Natural Language Processing (NLP)

R Programming

SQL

MLOPs

THE IDEAL CANDIDATE WILL

Engage with executive level stakeholders from client's team to translate business problems to high level solution approach
Partner closely with practice, and technical teams to craft well-structured comprehensive proposals/ RFP responses clearly highlighting Tredence’s competitive strengths relevant to Client's selection criteria
Actively explore the client’s business and formulate solution ideas that can improve process efficiency and cut cost, or achieve growth/revenue/profitability targets faster
Work hands-on across various MLOps problems and provide thought leadership
Grow and manage large teams with diverse skillsets
Collaborate, coach, and learn with a growing team of experienced Machine Learning Engineers and Data Scientists

ELIGIBILITY CRITERIA

BE/BTech/MTech (Specialization/courses in ML/DS)
At-least 7+ years of Consulting services delivery experience
Very strong problem-solving skills & work ethics
Possesses strong analytical/logical thinking, storyboarding and executive communication skills
5+ years of experience in Python/R, SQL
5+ years of experience in NLP algorithms, Regression & Classification Modelling, Time Series Forecasting
Hands on work experience in DevOps
Should have good knowledge in different deployment type like PaaS, SaaS, IaaS
Exposure on cloud technologies like Azure, AWS or GCP
Knowledge in python and packages for data analysis (scikit-learn, scipy, numpy, pandas, matplotlib).
Knowledge of Deep Learning frameworks: Keras, Tensorflow, PyTorch, etc
Experience with one or more Container-ecosystem (Docker, Kubernetes)
Experience in building orchestration pipeline to convert plain python models into a deployable API/RESTful endpoint.
Good understanding of OOP & Data Structures concepts

Nice to Have:

Exposure to deployment strategies like: Blue/Green, Canary, AB Testing, Multi-arm Bandit
Experience in Helm is a plus
Strong understanding of data infrastructure, data warehouse, or data engineering

You can expect to –

Work with world’ biggest retailers and help them solve some of their most critical problems. Tredence is a preferred analytics vendor for some of the largest Retailers across the globe
Create multi-million Dollar business opportunities by leveraging impact mindset, cutting edge solutions and industry best practices.
Work in a diverse environment that keeps evolving
Hone your entrepreneurial skills as you contribute to growth of the organization

THE IDEAL CANDIDATE WILL

Engage with executive level stakeholders from client's team to translate business problems to high level solution approach
Partner closely with practice, and technical teams to craft well-structured comprehensive proposals/ RFP responses clearly highlighting Tredence’s competitive strengths relevant to Client's selection criteria
Actively explore the client’s business and formulate solution ideas that can improve process efficiency and cut cost, or achieve growth/revenue/profitability targets faster
Work hands-on across various MLOps problems and provide thought leadership
Grow and manage large teams with diverse skillsets
Collaborate, coach, and learn with a growing team of experienced Machine Learning Engineers and Data Scientists

ELIGIBILITY CRITERIA

BE/BTech/MTech (Specialization/courses in ML/DS)
At-least 7+ years of Consulting services delivery experience
Very strong problem-solving skills & work ethics
Possesses strong analytical/logical thinking, storyboarding and executive communication skills
5+ years of experience in Python/R, SQL
5+ years of experience in NLP algorithms, Regression & Classification Modelling, Time Series Forecasting
Hands on work experience in DevOps
Should have good knowledge in different deployment type like PaaS, SaaS, IaaS
Exposure on cloud technologies like Azure, AWS or GCP
Knowledge in python and packages for data analysis (scikit-learn, scipy, numpy, pandas, matplotlib).
Knowledge of Deep Learning frameworks: Keras, Tensorflow, PyTorch, etc
Experience with one or more Container-ecosystem (Docker, Kubernetes)
Experience in building orchestration pipeline to convert plain python models into a deployable API/RESTful endpoint.
Good understanding of OOP & Data Structures concepts

Nice to Have:

Exposure to deployment strategies like: Blue/Green, Canary, AB Testing, Multi-arm Bandit
Experience in Helm is a plus
Strong understanding of data infrastructure, data warehouse, or data engineering

You can expect to –

Work with world’ biggest retailers and help them solve some of their most critical problems. Tredence is a preferred analytics vendor for some of the largest Retailers across the globe
Create multi-million Dollar business opportunities by leveraging impact mindset, cutting edge solutions and industry best practices.
Work in a diverse environment that keeps evolving
Hone your entrepreneurial skills as you contribute to growth of the organization

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About Tredence

Founded :

2013

Type :

Services

Size :

1000-5000

Stage :

Profitable

About

Tredence is an analytics services and solutions company serving some of the leading Fortune 500 clients & successful track record of delivering business impact

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