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Pattern recognition Jobs in Chennai

11+ Pattern recognition Jobs in Chennai | Pattern recognition Job openings in Chennai

Apply to 11+ Pattern recognition Jobs in Chennai on CutShort.io. Explore the latest Pattern recognition Job opportunities across top companies like Google, Amazon & Adobe.

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Chennai
3 - 5 yrs
₹12L - ₹20L / yr
skill iconData Science
Data Scientist
skill iconR Programming
skill iconPython
skill iconMachine Learning (ML)
+9 more
  • 3+ years experience in practical implementation and deployment of ML based systems preferred.
  • BE/B Tech or M Tech (preferred) in CS/Engineering with strong mathematical/statistical background
  • Strong mathematical and analytical skills, especially statistical and ML techniques, with familiarity with different supervised and unsupervised learning algorithms
  • Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimisation
  • Experience in working on modeling graph structures related to spatiotemporal systems
  • Programming skills in Python
  • Experience in developing and deploying on cloud (AWS or Google or Azure)
  • Good verbal and written communication skills
  • Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow
Read more
Remote, Chennai
3 - 6 yrs
Best in industry
skill iconMachine Learning (ML)
skill iconData Science
skill iconDeep Learning
Artificial Intelligence (AI)
skill iconPython
+1 more

Skills: Machine Learning,Deep Learning,Artificial Intelligence,python.

Location:Chennai


Domain knowledge:
Data cleaning, modelling, analytics, statistics, machine learning, AI

Requirements:

·         To be part of Digital Manufacturing and Industrie 4.0 projects across Saint Gobain group of companies

·         Design and develop AI//ML models to be deployed across SG factories

·         Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required

·         Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks

·         Prior experience in developing AI and ML models is required

·         Experience with data from the Manufacturing Industry would be a plus

Roles and Responsibilities:

·         Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics

·         Multitasking, good communication necessary

·         Entrepreneurial attitude.

 
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Gurugram, Bengaluru (Bangalore), Chennai
2 - 9 yrs
₹9L - ₹27L / yr
DevOps
Microsoft Windows Azure
gitlab
skill iconAmazon Web Services (AWS)
Google Cloud Platform (GCP)
+15 more
Greetings!!

We are looking out for a technically driven  "ML OPS Engineer" for one of our premium client

COMPANY DESCRIPTION:
This Company is a global management consulting firm. We are the trusted advisor to the world's leading businesses, governments, and institutions. We work with leading organizations across the private, public and social sectors. Our scale, scope, and knowledge allow us to address


Key Skills
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
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Amagi Media Labs

at Amagi Media Labs

3 recruiters
Rajesh C
Posted by Rajesh C
Chennai
15 - 18 yrs
Best in industry
Data architecture
Architecture
Data Architect
Architect
skill iconJava
+5 more
Job Title: Data Architect
Job Location: Chennai
Job Summary

The Engineering team is seeking a Data Architect. As a Data Architect, you will drive a
Data Architecture strategy across various Data Lake platforms. You will help develop
reference architecture and roadmaps to build highly available, scalable and distributed
data platforms using cloud based solutions to process high volume, high velocity and
wide variety of structured and unstructured data. This role is also responsible for driving
innovation, prototyping, and recommending solutions. Above all, you will influence how
users interact with Conde Nast’s industry-leading journalism.
Primary Responsibilities
Data Architect is responsible for
• Demonstrated technology and personal leadership experience in architecting,
designing, and building highly scalable solutions and products.
• Enterprise scale expertise in data management best practices such as data integration,
data security, data warehousing, metadata management and data quality.
• Extensive knowledge and experience in architecting modern data integration
frameworks, highly scalable distributed systems using open source and emerging data
architecture designs/patterns.
• Experience building external cloud (e.g. GCP, AWS) data applications and capabilities is
highly desirable.
• Expert ability to evaluate, prototype and recommend data solutions and vendor
technologies and platforms.
• Proven experience in relational, NoSQL, ELT/ETL technologies and in-memory
databases.
• Experience with DevOps, Continuous Integration and Continuous Delivery technologies
is desirable.
• This role requires 15+ years of data solution architecture, design and development
delivery experience.
• Solid experience in Agile methodologies (Kanban and SCRUM)
Required Skills
• Very Strong Experience in building Large Scale High Performance Data Platforms.
• Passionate about technology and delivering solutions for difficult and intricate
problems. Current on Relational Databases and No sql databases on cloud.
• Proven leadership skills, demonstrated ability to mentor, influence and partner with
cross teams to deliver scalable robust solutions..
• Mastery of relational database, NoSQL, ETL (such as Informatica, Datastage etc) /ELT
and data integration technologies.
• Experience in any one of Object Oriented Programming (Java, Scala, Python) and
Spark.
• Creative view of markets and technologies combined with a passion to create the
future.
• Knowledge on cloud based Distributed/Hybrid data-warehousing solutions and Data
Lake knowledge is mandate.
• Good understanding of emerging technologies and its applications.
• Understanding of code versioning tools such as GitHub, SVN, CVS etc.
• Understanding of Hadoop Architecture and Hive SQL
• Knowledge in any one of the workflow orchestration
• Understanding of Agile framework and delivery

Preferred Skills:
● Experience in AWS and EMR would be a plus
● Exposure in Workflow Orchestration like Airflow is a plus
● Exposure in any one of the NoSQL database would be a plus
● Experience in Databricks along with PySpark/Spark SQL would be a plus
● Experience with the Digital Media and Publishing domain would be a
plus
● Understanding of Digital web events, ad streams, context models
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right
move to invest heavily in understanding this data and formed a whole new Data team
entirely dedicated to data processing, engineering, analytics, and visualization. This team
helps drive engagement, fuel process innovation, further content enrichment, and increase
market revenue. The Data team aimed to create a company culture where data was the
common language and facilitate an environment where insights shared in real-time could
improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The
team at Condé Nast Chennai works extensively with data to amplify its brands' digital
capabilities and boost online revenue. We are broadly divided into four groups, Data
Intelligence, Data Engineering, Data Science, and Operations (including Product and
Marketing Ops, Client Services) along with Data Strategy and monetization. The teams built
capabilities and products to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are
Condé Nast, and It Starts Here.
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TVS Credit Services

at TVS Credit Services

2 recruiters
Vinodhkumar Panneerselvam
Posted by Vinodhkumar Panneerselvam
Chennai
4 - 10 yrs
₹10L - ₹20L / yr
skill iconData Science
skill iconR Programming
skill iconPython
skill iconMachine Learning (ML)
Hadoop
+3 more
Job Description: Be responsible for scaling our analytics capability across all internal disciplines and guide our strategic direction in regards to analytics Organize and analyze large, diverse data sets across multiple platforms Identify key insights and leverage them to inform and influence product strategy Technical Interactions with vendor or partners in technical capacity for scope/ approach & deliverables. Develops proof of concept to prove or disprove validity of concept. Working with all parts of the business to identify analytical requirements and formalize an approach for reliable, relevant, accurate, efficientreporting on those requirements Designing and implementing advanced statistical testing for customized problem solving Deliver concise verbal and written explanations of analyses to senior management that elevate findings into strategic recommendations Desired Candidate Profile: MTech / BE / BTech / MSc in CS or Stats or Maths, Operation Research, Statistics, Econometrics or in any quantitative field Experience in using Python, R, SAS Experience in working with large data sets and big data systems (SQL, Hadoop, Hive, etc.) Keen aptitude for large-scale data analysis with a passion for identifying key insights from data Expert working knowledge in various machine learning algorithms such XGBoost, SVM Etc. We are looking candidates from the following: Experience in Unsecured Loans & SME Loans analytics (cards, installment loans) - risk based pricing analytics Experience in Differential pricing / selection analytics (retail, airlines / travel etc). Experience in Digital product companies or Digital eCommerce with Product mindset and experience Experience in Fraud / Risk from Banks, NBFC / Fintech / Credit Bureau Experience in Online media with knowledge of media, online ads & sales (agencies) - Knowledge of DMP, DFP, Adobe/Omniture tools, Cloud Experience in Consumer Durable Loans lending companies (Experience in Credit Cards, Personal Loan - optional) Experience in Tractor Loans lending companies (Experience in Farm) Experience in Recovery, Collections analytics Experience in Marketing Analytics with Digital Marketing, Market Mix modelling, Advertising Technology
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MulticoreWare
Chennai
3 - 6 yrs
₹7L - ₹12L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
skill iconC
+6 more

Senior Engineer  – Artificial Intelligence / Computer Vision
(Business Unit – Autonomous Vehicles & Automotive - AVA)


We are seeking an exceptional, experienced senior engineer with deep expertise in Computer Vision, Neural Networks, 3D Scene Understanding and Sensor Data Processing. The expectation is to lead a growing team of engineers to help them build and deliver customized solutions for our clients. A solid engineering as well as team management background is a must.


About MulticoreWare Inc
MulticoreWare Inc is a software and solutions development company with top-notch talent and skill in a variety of micro-architectures, including multi-thread, multi-core, and heterogeneous hardware platforms. It works in sectors including High Performance Computing (HPC), Media & AI Analytics, Video Solutions, Autonomous Vehicle and Automotive software, all of which are rapidly expanding. The Autonomous Vehicles & Automotive business unit specializes in delivering optimized solutions for sophisticated sensor fusion intelligence and the design of algorithms & implementation of software to be deployed on a variety of automotive grade hardware platforms.


Role Responsibilities
● Lead a team to solve the problems in a perception / autonomous-systems scope and turn ideas into code & products
● Drive all technical elements of development, such as project requirements definition, design, implementation, unit testing, integration, and software delivery
● Implementing cutting edge AI solutions on embedded platforms and optimizing them for performance. Hardware architecture aware algorithm design and development
● Contribute to the vision and long-term strategy of the business unit


Required Qualifications (Must Have)
● 3 - 7 years of experience with real world system building, including design, coding (C++/Python) and evaluation/testing (C++/Python)
● Solid experience in 2D / 3D Computer Vision algorithms, Machine Learning and Deep Learning fundamentals – Theory & Practice. Hands-on experience with Deep Learning frameworks like Caffe, TensorFlow or PyTorch
● Expert level knowledge in any of the courses related Signal Data Processing / Autonomous or Robotics software development (Perception, Localization, Prediction, Planning), multi-object tracking, sensor fusion algorithms and familiarity on Kalman filters, particle filters, clustering methods etc.
● Good project management and execution capabilities, as well as good communication and coordination ability
● Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related fields


Preferred Qualifications (Nice-to-Have)
● GPU architecture and CUDA programming experience, as well as knowledge of AI inference optimization using Quantization, Compression (or) Model Pruning
● Track record of research excellence with prior publication on top-tier conferences and journals

Read more
Mobile Programming LLC

at Mobile Programming LLC

1 video
34 recruiters
Apurva kalsotra
Posted by Apurva kalsotra
Mohali, Gurugram, Pune, Bengaluru (Bangalore), Hyderabad, Chennai
3 - 8 yrs
₹2L - ₹9L / yr
Data engineering
Data engineer
Spark
Apache Spark
Apache Kafka
+13 more

Responsibilities for Data Engineer

  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications for Data Engineer

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Read more
VIMANA

at VIMANA

4 recruiters
Loshy Chandran
Posted by Loshy Chandran
Remote, Chennai
2 - 5 yrs
₹10L - ₹20L / yr
Data engineering
Data Engineer
Apache Kafka
Big Data
skill iconJava
+4 more

We are looking for passionate, talented and super-smart engineers to join our product development team. If you are someone who innovates, loves solving hard problems, and enjoys end-to-end product development, then this job is for you! You will be working with some of the best developers in the industry in a self-organising, agile environment where talent is valued over job title or years of experience.

 

Responsibilities:

  • You will be involved in end-to-end development of VIMANA technology, adhering to our development practices and expected quality standards.
  • You will be part of a highly collaborative Agile team which passionately follows SAFe Agile practices, including pair-programming, PR reviews, TDD, and Continuous Integration/Delivery (CI/CD).
  • You will be working with cutting-edge technologies and tools for stream processing using Java, NodeJS and Python, using frameworks like Spring, RxJS etc.
  • You will be leveraging big data technologies like Kafka, Elasticsearch and Spark, processing more than 10 Billion events per day to build a maintainable system at scale.
  • You will be building Domain Driven APIs as part of a micro-service architecture.
  • You will be part of a DevOps culture where you will get to work with production systems, including operations, deployment, and maintenance.
  • You will have an opportunity to continuously grow and build your capabilities, learning new technologies, languages, and platforms.

 

Requirements:

  • Undergraduate degree in Computer Science or a related field, or equivalent practical experience.
  • 2 to 5 years of product development experience.
  • Experience building applications using Java, NodeJS, or Python.
  • Deep knowledge in Object-Oriented Design Principles, Data Structures, Dependency Management, and Algorithms.
  • Working knowledge of message queuing, stream processing, and highly scalable Big Data technologies.
  • Experience in working with Agile software methodologies (XP, Scrum, Kanban), TDD and Continuous Integration (CI/CD).
  • Experience using no-SQL databases like MongoDB or Elasticsearch.
  • Prior experience with container orchestrators like Kubernetes is a plus.
About VIMANA

We build products and platforms for the Industrial Internet of Things. Our technology is being used around the world in mission-critical applications - from improving the performance of manufacturing plants, to making electric vehicles safer and more efficient, to making industrial equipment smarter.

Please visit https://govimana.com/ to learn more about what we do.

Why Explore a Career at VIMANA
  • We recognize that our dedicated team members make us successful and we offer competitive salaries.
  • We are a workplace that values work-life balance, provides flexible working hours, and full time remote work options.
  • You will be part of a team that is highly motivated to learn and work on cutting edge technologies, tools, and development practices.
  • Bon Appetit! Enjoy catered breakfasts, lunches and free snacks!

VIMANA Interview Process
We usually target to complete all the interviews in a week's time and would provide prompt feedback to the candidate. As of now, all the interviews are conducted online due to covid situation.

1.Telephonic screening (30 Min )

A 30 minute telephonic interview to understand and evaluate the candidate's fit with the job role and the company.
Clarify any queries regarding the job/company.
Give an overview about further interview rounds

2. Technical Rounds

This would be deep technical round to evaluate the candidate's technical capability pertaining to the job role.

3. HR Round

Candidate's team and cultural fit will be evaluated during this round

We would proceed with releasing the offer if the candidate clears all the above rounds.

Note: In certain cases, we might schedule additional rounds if needed before releasing the offer.
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Virtusa

at Virtusa

2 recruiters
Agency job
via Devenir by Rakesh Kumar
Chennai, Hyderabad
4 - 6 yrs
₹10L - ₹20L / yr
PySpark
skill iconAmazon Web Services (AWS)
skill iconPython
  • Hands-on experience in Development
  • 4-6 years of Hands on experience with Python scripts
  • 2-3 years of Hands on experience in PySpark coding. Worked in spark cluster computing technology.
  • 3-4 years of Hands on end to end data pipeline experience working on AWS environments
  • 3-4 years of Hands on experience working on AWS services – Glue, Lambda, Step Functions, EC2, RDS, SES, SNS, DMS, CloudWatch etc.
  • 2-3 years of Hands on experience working on AWS redshift
  • 6+ years of Hands on experience with writing Unix Shell scripts
  • Good communication skills
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Kaleidofin

at Kaleidofin

3 recruiters
Pragya Gupta
Posted by Pragya Gupta
Chennai
2 - 7 yrs
₹10L - ₹30L / yr
skill iconData Science
skill iconMachine Learning (ML)
Statistical Modeling
skill iconR Programming
skill iconPython

Key Responsibilities:

  • Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
  • Good understanding of the underlying business and workings of cross functional teams for successful execution
  • Design and develop analyses based on business requirement needs and challenges.
  • Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
  • Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
  • Identify and use appropriate investigative and analytical technologies to interpret and verify results.
  • Apply and learn a wide variety of tools and languages to achieve results
  • Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
  • Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
  • Innovate on projects by using new modeling techniques or tools.
  • Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
  • Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

 

Skills:

  • 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
  • Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
  • Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
  • Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
  • Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
  • Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
  • Experience in risk and credit scoring domains preferred
Read more
codeMantra

at codeMantra

3 recruiters
saranya v
Posted by saranya v
Chennai
14 - 18 yrs
₹20L - ₹25L / yr
skill iconMachine Learning (ML)
skill iconData Science
skill iconR Programming
skill iconPython

ML ARCHITECT

 

Job Overview

                         We are looking for a ML Architect to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s and creating/running simulations.  They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Automating to identify the textual data with their properties and structure form various type of document.

 

Responsibilities

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Creating automated anomaly detection systems and constant tracking of its performance
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Secure and manage when needed GPU cluster resources for events
  • Write comprehensive internal feedback reports and find opportunities for improvements
  • Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model.

 

Skills and Qualifications

  • Strong Hands-on experience in Python Programming
  • Working experience with Computer Vision models - Object Detection Model, Image Classification
  • Good experience in feature extraction, feature selection techniques and transfer learning
  • Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
  • Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
  • Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
  • Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
  • Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
  • Exposure to OpenCV Familiarity with GPUs + CUDA
  • Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
  • We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
  • Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.

 

 

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