Hi All,
We are hiring Data Engineer for one of our client for Bangalore & Chennai Location.
Strong Knowledge of SCCM, App V, and Intune infrastructure.
Powershell/VBScript/Python,
Windows Installer
Knowledge of Windows 10 registry
Application Repackaging
Application Sequencing with App-v
Deploying and troubleshooting applications, packages, and Task Sequences.
Security patch deployment and remediation
Windows operating system patching and defender updates
Thanks,
Mohan.G
About Streetmark
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About Company
Our client is the worlds largest media investment company and a global digital transformation agency with 1200 employees across 21 nations. They support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels
About The Role
· Provide support on Campaign Measurement, Brand Lift studies, Reporting and other data needs (ingestion, cleaning, delivery etc.)
· Code in SQL, Python to create reports and build dashboards.
· Use Bigquery, Python, Datalab (GCP) and automate recurring workloads to improve efficiency
· Maintain underlying data infrastructure and troubleshoot data issues
· Generate meaningful insights from data using advanced analytics/statistical techniques and create dashboards and presentations for wider teams.
· Liaise closely with clients (internally and externally) on projects and work with key stakeholders to assess project needs and ensure best-in-class work is being delivered.
A bit about yourself
· 0-2 years of experience required
· Programming skills in SQL, Python/R
· Logical thinking and problem solving skills
· Strong communication skills (verbal & written)
· Adherence to quality & ability to plan & prioritize the work
· Passionate about data analysis, ability to troubleshoot data anomalies, pulling data from several sources, integrating it to create data layers
· Experience in applying big data, statistics, analytical techniques and technology to solve client problems will be plus
· Experience in creating dashboards, reports, presentations and finding insights, and strong business acumen to provide actionable strategic recommendations will be plus.
Responsibilities
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Building out and manage a young data science vertical within the organization
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Provide technical leadership in the areas of machine learning, analytics, and data sciences
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Work with the team and create a roadmap to solve the company’s requirements by solving data-mining, analytics, and ML problems by Identifying business problems that could be solved using Data Science and scoping it out end to end.
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Solve business problems by applying advanced Machine Learning algorithms and complex statistical models on large volumes of data.
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Develop heuristics, algorithms, and models to deanonymize entities on public blockchains
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Data Mining - Extend the organization’s proprietary dataset by introducing new data collection methods and by identifying new data sources.
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Keep track of the latest trends in cryptocurrency usage on open-web and dark-web and develop counter-measures to defeat concealment techniques used by criminal actors.
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Develop in-house algorithms to generate risk scores for blockchain transactions.
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Work with data engineers to implement the results of your work.
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Assemble large, complex data sets that meet functional / non-functional business requirements.
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Build, scale and deploy holistic data science products after successful prototyping.
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Clearly articulate and present recommendations to business partners, and influence future plans based on insights.
Preferred Experience
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>8+ years of relevant experience as a Data Scientist or Analyst. A few years of work experience solving NLP problems or other ML problems is a plus
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Must have previously managed a team of at least 5 data scientists or analysts or demonstrate that they have prior experience in scaling a data science function from the ground
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Good understanding of python, bash scripting, and basic cloud platform skills (on GCP or AWS)
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Excellent communication skills and analytical skills
What you’ll get
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Work closely with the Founders in helping grow the organization to the next level alongside some of the best and brightest talents around you
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An excellent culture, we encourage collaboration, growth, and learning amongst the team
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Competitive salary and equity
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An autonomous and flexible role where you will be trusted with key tasks.
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An opportunity to have a real impact and be part of a company with purpose.
Location : Gurgaon
About the company:
The company is changing the way cataloging is done across the Globe. Our vision is to empower the smallest of sellers, situated in the farthest of corners, to create superior product images and videos, without the need for any external professional help. Imagine 30M+ merchants shooting Product Images or Videos using their Smartphones, and then choosing Filters for Amazon, Asos, Airbnb, Doordash, etc to instantly compose High-Quality "tuned-in" product visuals, instantly. The company has built the world’s leading image editing AI software, to capture and process beautiful product images for online selling. We are also fortunate and proud to be backed by the biggest names in the investment community including the likes of Accel Partners, Angellist and prominent Founders and Internet company operators, who believe that there is an intelligent and efficient way of doing Digital Production than how the world operates currently.
Job Description :
- We are looking for a seasoned Computer Vision Engineer with AI/ML/CV and Deep Learning skills to
play a senior leadership role in our Product & Technology Research Team.
- You will be leading a team of CV researchers to build models that automatically transform millions of e
commerce, automobiles, food, real-estate ram images into processed final images.
- You will be responsible for researching the latest art of the possible in the field of computer vision,
designing the solution architecture for our offerings and lead the Computer Vision teams to build the core
algorithmic models & deploy them on Cloud Infrastructure.
- Working with the Data team to ensure your data pipelines are well set up and
models are being constantly trained and updated
- Working alongside product team to ensure that AI capabilities are built as democratized tools that
provides internal as well external stakeholders to innovate on top of it and make our customers
successful
- You will work closely with the Product & Engineering teams to convert the models into beautiful products
that will be used by thousands of Businesses everyday to transform their images and videos.
Job Requirements:
- Min 3+ years of work experience in Computer Vision with 5-10 years work experience overall
- BS/MS/ Phd degree in Computer Science, Engineering or a related subject from a ivy league institute
- Exposure on Deep Learning Techniques, TensorFlow/Pytorch
- Prior expertise on building Image processing applications using GANs, CNNs, Diffusion models
- Expertise with Image Processing Python libraries like OpenCV, etc.
- Good hands-on experience on Python, Flask or Django framework
- Authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR,ICCV, ACL)
- Prior experience of managing teams and building large scale AI / CV projects is a big plus
- Great interpersonal and communication skills
- Critical thinker and problem-solving skills
Job Responsibilities
- Design, build & test ETL processes using Python & SQL for the corporate data warehouse
- Inform, influence, support, and execute our product decisions
- Maintain advertising data integrity by working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify issues.
- Evaluate and prototype new technologies in the area of data processing
- Think quickly, communicate clearly and work collaboratively with product, data, engineering, QA and operations teams
- High energy level, strong team player and good work ethic
- Data analysis, understanding of business requirements and translation into logical pipelines & processes
- Identification, analysis & resolution of production & development bugs
- Support the release process including completing & reviewing documentation
- Configure data mappings & transformations to orchestrate data integration & validation
- Provide subject matter expertise
- Document solutions, tools & processes
- Create & support test plans with hands-on testing
- Peer reviews of work developed by other data engineers within the team
- Establish good working relationships & communication channels with relevant departments
Skills and Qualifications we look for
- University degree 2.1 or higher (or equivalent) in a relevant subject. Master’s degree in any data subject will be a strong advantage.
- 4 - 6 years experience with data engineering.
- Strong coding ability and software development experience in Python.
- Strong hands-on experience with SQL and Data Processing.
- Google cloud platform (Cloud composer, Dataflow, Cloud function, Bigquery, Cloud storage, dataproc)
- Good working experience in any one of the ETL tools (Airflow would be preferable).
- Should possess strong analytical and problem solving skills.
- Good to have skills - Apache pyspark, CircleCI, Terraform
- Motivated, self-directed, able to work with ambiguity and interested in emerging technologies, agile and collaborative processes.
- Understanding & experience of agile / scrum delivery methodology
Responsibilities
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Create data funnels to feed into models via web, structured and unstructured data
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Maintain coding standards using SDLC, Git, AWS deployments etc
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Keep abreast of developments in the field
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Deploy models in production and monitor them
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Documentations of processes and logic
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Take ownership of the solution from code to deployment and performance
Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21st century human experience – then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter & Gamble and PepsiCo.
We’re looking for an Applied Data Scientist who expects more from their career. It’s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you’ll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them.
What we expect from you
- Degree in Statistics, Maths, Physics, Economics or similar field
- Programming skills (Python and SQL are a must have)
- Analytical Techniques and Technology
- Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact.
- Logical thinking and problem solving
- Strong communication skills
- Statistical Modelling and experience of applying data science into client problems
- 2 to 5 years of experience required
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not.
Plus, thoughtful perks, like early finish Friday and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Women’s Network, dh Proud, dh Parent’s & Carer’s, dh One and dh Thrive as the living proof. Everyone’s invited.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
- Hands-on experience in any Cloud Platform
- Microsoft Azure Experience
- 3+ years of experience in Machine Learning
- Bachelors/Masters in Computer Engineering/Science.
- Bachelors/Masters in Engineering/Mathematics/Statistics with sound knowledge of programming and computer concepts.
- 10 and 12th acedemics 70 % & above.
Skills :
- Strong Python/ programming skills
- Good conceptual understanding of Machine Learning/Deep Learning/Natural Language Processing
- Strong verbal and written communication skills.
- Should be able to manage team, meet project deadlines and interface with clients.
- Should be able to work across different domains and quickly ramp up the business processes & flows & translate business problems into the data solutions
along with metrics to track their progress
Managing available resources such as hardware, data, and personnel so that deadlines
are met
Analysing 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
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
Defining the pre-processing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper parameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production