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Linear algebra Jobs in Hyderabad

11+ Linear algebra Jobs in Hyderabad | Linear algebra Job openings in Hyderabad

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Monarch Tractors India
Hyderabad
2 - 8 yrs
Best in industry
skill iconMachine Learning (ML)
skill iconData Science
Algorithms
skill iconPython
skill iconC++
+10 more

Designation: Perception Engineer (3D) 

Experience: 0 years to 8 years 

Position Type: Full Time 

Position Location: Hyderabad 

Compensation: As Per Industry standards 

 

About Monarch: 

At Monarch, we’re leading the digital transformation of farming. Monarch Tractor augments both muscle and mind with fully loaded hardware, software, and service machinery that will spur future generations of farming technologies. 

With our farmer-first mentality, we are building a smart tractor that will enhance (not replace) the existing farm ecosystem, alleviate labor availability, and cost issues, and provide an avenue for competitive organic and beyond farming by providing mechanical solutions to replace harmful chemical solutions. Despite all the cutting-edge technology we will incorporate, our tractor will still plow, still, and haul better than any other tractor in its class. We have all the necessary ingredients to develop, build and scale the Monarch Tractor and digitally transform farming around the world. 

 

Description: 

We are looking for engineers to work on applied research problems related to perception in autonomous driving of electric tractors. The team works on classical and deep learning-based techniques for computer vision. Several problems like SFM, SLAM, 3D Image processing, multiple view geometry etc. Are being solved to deploy on resource constrained hardware. 

 

Technical Skills: 

  • Background in Linear Algebra, Probability and Statistics, graphical algorithms and optimization problems is necessary. 
  • Solid theoretical background in 3D computer vision, computational geometry, SLAM and robot perception is desired. Deep learning background is optional. 
  • Knowledge of some numerical algorithms or libraries among: Bayesian filters, SLAM, Eigen, Boost, g2o, PCL, Open3D, ICP. 
  • Experience in two view and multi-view geometry. 
  • Necessary Skills: Python, C++, Boost, Computer Vision, Robotics, OpenCV. 
  • Academic experience for freshers in Vision for Robotics is preferred.  
  • Experienced candidates in Robotics with no prior Deep Learning experience willing to apply their knowledge to vision problems are also encouraged to apply. 
  • Software development experience on low-power embedded platforms is a plus. 

 

Responsibilities: 

  • Understanding engineering principles and a clear understanding of data structures and algorithms. 
  • Ability to understand, optimize and debug imaging algorithms. 
  • Ability to drive a project from conception to completion, research papers to code with disciplined approach to software development on Linux platform. 
  • Demonstrate outstanding ability to perform innovative and significant research in the form of technical papers, thesis, or patents. 
  • Optimize runtime performance of designed models. 
  • Deploy models to production and monitor performance and debug inaccuracies and exceptions. 
  • Communicate and collaborate with team members in India and abroad for the fulfillment of your duties and organizational objectives. 
  • Thrive in a fast-paced environment and can own the project end to end with minimum hand holding. 
  • Learn & adapt to new technologies & skillsets. 
  • Work on projects independently with timely delivery & defect free approach. 
  • Thesis focusing on the above skill set may be given more preference. 

 

What you will get: 

At Monarch Tractor, you’ll play a key role on a capable, dedicated, high-performing team of rock stars. Our compensation package includes a competitive salary, excellent health benefits commensurate with the role you’ll play in our success.  

 

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MNC Company - Product Based
Bengaluru (Bangalore), Chennai, Hyderabad, Pune, Delhi, Gurugram, Noida, Ghaziabad, Faridabad
5 - 9 yrs
₹10L - ₹15L / yr
Data Warehouse (DWH)
Informatica
ETL
skill iconPython
Google Cloud Platform (GCP)
+2 more

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

 

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Hyderabad
4 - 7 yrs
₹14L - ₹25L / yr
Spark
Hadoop
Big Data
Data engineering
PySpark
+5 more

Roles and Responsibilities

Big Data Engineer + Spark Responsibilies Atleast 3 to 4 years of relevant experience as Big Data Engineer Min 1 year of relevant hands-on experience into Spark framework. Minimum 4 years of Application Development experience using any programming language like Scala/Java/Python. Hands on experience on any major components in Hadoop Ecosystem like HDFS or Map or Reduce or Hive or Impala. Strong programming experience of building applications / platforms using Scala/Java/Python. Experienced in implementing Spark RDD Transformations, actions to implement business analysis. An efficient interpersonal communicator with sound analytical problemsolving skills and management capabilities. Strive to keep the slope of the learning curve high and able to quickly adapt to new environments and technologies. Good knowledge on agile methodology of Software development.
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Quadratic Insights
Praveen Kondaveeti
Posted by Praveen Kondaveeti
Hyderabad
7 - 10 yrs
₹15L - ₹24L / yr
Spark
Hadoop
Big Data
Data engineering
PySpark
+6 more

About Quadratyx:

We are a product-centric insight & automation services company globally. We help the world’s organizations make better & faster decisions using the power of insight & intelligent automation. We build and operationalize their next-gen strategy, through Big Data, Artificial Intelligence, Machine Learning, Unstructured Data Processing and Advanced Analytics. Quadratyx can boast more extensive experience in data sciences & analytics than most other companies in India.

We firmly believe in Excellence Everywhere.


Job Description

Purpose of the Job/ Role:

• As a Technical Lead, your work is a combination of hands-on contribution, customer engagement and technical team management. Overall, you’ll design, architect, deploy and maintain big data solutions.


Key Requisites:

• Expertise in Data structures and algorithms.

• Technical management across the full life cycle of big data (Hadoop) projects from requirement gathering and analysis to platform selection, design of the architecture and deployment.

• Scaling of cloud-based infrastructure.

• Collaborating with business consultants, data scientists, engineers and developers to develop data solutions.

• Led and mentored a team of data engineers.

• Hands-on experience in test-driven development (TDD).

• Expertise in No SQL like Mongo, Cassandra etc, preferred Mongo and strong knowledge of relational databases.

• Good knowledge of Kafka and Spark Streaming internal architecture.

• Good knowledge of any Application Servers.

• Extensive knowledge of big data platforms like Hadoop; Hortonworks etc.

• Knowledge of data ingestion and integration on cloud services such as AWS; Google Cloud; Azure etc. 


Skills/ Competencies Required

Technical Skills

• Strong expertise (9 or more out of 10) in at least one modern programming language, like Python, or Java.

• Clear end-to-end experience in designing, programming, and implementing large software systems.

• Passion and analytical abilities to solve complex problems Soft Skills.

• Always speaking your mind freely.

• Communicating ideas clearly in talking and writing, integrity to never copy or plagiarize intellectual property of others.

• Exercising discretion and independent judgment where needed in performing duties; not needing micro-management, maintaining high professional standards.


Academic Qualifications & Experience Required

Required Educational Qualification & Relevant Experience

• Bachelor’s or Master’s in Computer Science, Computer Engineering, or related discipline from a well-known institute.

• Minimum 7 - 10 years of work experience as a developer in an IT organization (preferably Analytics / Big Data/ Data Science / AI background.

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Hyderabad
4 - 8 yrs
₹5L - ₹14L / yr
Spark
Hadoop
Big Data
Data engineering
PySpark
+4 more
Expertise in building AWS Data Engineering pipelines with AWS Glue -> Athena -> Quick sight
Experience in developing lambda functions with AWS Lambda
Expertise with Spark/PySpark – Candidate should be hands on with PySpark code and should be able to do transformations with Spark
Should be able to code in Python and Scala.
Snowflake experience will be a plus
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Hyderabad
3 - 7 yrs
₹1L - ₹15L / yr
Big Data
Spark
Hadoop
PySpark
skill iconAmazon Web Services (AWS)
+3 more

Big data Developer

Exp: 3yrs to 7 yrs.
Job Location: Hyderabad
Notice: Immediate / within 30 days

1. Expertise in building AWS Data Engineering pipelines with AWS Glue -> Athena -> Quick sight
2. Experience in developing lambda functions with AWS Lambda
3. Expertise with Spark/PySpark Candidate should be hands on with PySpark code and should be able to do transformations with Spark
4. Should be able to code in Python and Scala.
5. Snowflake experience will be a plus

We can start keeping Hadoop and Hive requirements as good to have or understanding of is enough rather than keeping it as a desirable requirement.

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Hyderabad
5 - 12 yrs
₹10L - ₹35L / yr
Analytics
skill iconKubernetes
Apache Kafka
skill iconData Analytics
skill iconPython
+3 more
  • 3+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd and streaming databases like druid
  • Strong industry expertise with containerization technologies including kubernetes, docker-compose
  • 2+ years of industry in experience in developing scalable data ingestion processes and ETLs
  • Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
  • Experience with scripting languages. Python experience highly desirable.
  • 2+ Industry experience in python
  • Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
  • Demonstrated expertise of building cloud native applications
  • Experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd
  • Experience in API development using Swagger
  • Strong expertise with containerization technologies including kubernetes, docker-compose
  • Experience with cloud platform services such as AWS, Azure or GCP.
  • Implementing automated testing platforms and unit tests
  • Proficient understanding of code versioning tools, such as Git
  • Familiarity with continuous integration, Jenkins
Responsibilities
  • Design and Implement Large scale data processing pipelines using Kafka, Fluentd and Druid
  • Assist in dev ops operations
  • Develop data ingestion processes and ETLs
  • Design and Implement APIs
  • Assist in dev ops operations
  • Identify performance bottlenecks and bugs, and devise solutions to these problems
  • Help maintain code quality, organization, and documentation
  • Communicate with stakeholders regarding various aspects of solution.
  • Mentor team members on best practices
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Milestone Hr Consultancy

at Milestone Hr Consultancy

2 recruiters
Jyoti Sharma
Posted by Jyoti Sharma
Remote, Hyderabad
3 - 8 yrs
₹6L - ₹16L / yr
skill iconPython
skill iconDjango
Data engineering
Apache Hive
Apache Spark
We are currently looking for passionate Data Engineers to join our team and mission. In this role, you will help doctors from across the world improve care and save lives by helping extract insights and predict risk. Our Data Engineers ensure that data are ingested and prepared, ready for insights and intelligence to be derived from them. We’re looking for smart individuals to join our incredibly talented team, that is on a mission to transform healthcare.As a Data Engineer you will be engaged in some or all of the following activities:• Implement, test and deploy distributed data ingestion, data processing and feature engineering systems computing on large volumes of Healthcare data using a variety of open source and proprietary technologies.• Design data architectures and schemas optimized for analytics and machine learning.• Implement telemetry to monitor the performance and operations of data pipelines.• Develop tools and libraries to implement and manage data processing pipelines, including ingestion, cleaning, transformation, and feature computation.• Work with large data sets, and integrate diverse data sources, data types and data structures.• Work with Data Scientists, Machine Learning Engineers and Visualization Engineers to understand data requirements, and translate them into production-ready data pipelines.• Write and automate unit, functional, integration and performance tests in a Continuous Integration environment.• Take initiative to find solutions to technical challenges for healthcare data.You are a great match if you have some or all of the following skills and qualifications.• Strong understanding of database design and feature engineering to support Machine Learning and analytics.• At least 3 years of industry experience building, testing and deploying large-scale, distributed data processing systems.• Proficiency in working with multiple data processing tools and query languages (Python, Spark, SQL, etc.).• Excellent understanding of distributed computing concepts and Big Data technologies (Spark, Hive, etc.).• Proficiency in performance tuning and optimization of data processing pipelines.• Attention to detail and focus on software quality, with experience in software testing.• Strong cross discipline communication skills and teamwork.• Demonstrated clear and thorough logical and analytical thinking, as well as problem solving skills.• Bachelor or Masters in Computer Science or related field. Skill - Apache Spark-Python-Hive Skill Description - Skill1– SparkSkill2- PythonSkill3 – Hive, SQL Responsibility - Sr. data engineer"
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CES Information Technologies
Yash Rathod
Posted by Yash Rathod
Hyderabad
7 - 12 yrs
₹5L - ₹15L / yr
skill iconMachine Learning (ML)
skill iconDeep Learning
skill iconPython
Data modeling
o Critical thinking mind who likes to solve complex problems, loves programming, and cherishes to work in a fast-paced environment.
o Strong Python development skills, with 7+ yrs. experience with SQL.
o A bachelor or master’s degree in Computer Science or related areas
o 5+ years of experience in data integration and pipeline development
o Experience in Implementing Databricks Delta lake and data lake
o Expertise designing and implementing data pipelines using modern data engineering approach and tools: SQL, Python, Delta Lake, Databricks, Snowflake Spark
o Experience in working with multiple file formats (Parque, Avro, Delta Lake) & API
o experience with AWS Cloud on data integration with S3.
o Hands on Development experience with Python and/or Scala.
o Experience with SQL and NoSQL databases.
o Experience in using data modeling techniques and tools (focused on Dimensional design)
o Experience with micro-service architecture using Docker and Kubernetes
o Have experience working with one or more of the public cloud providers i.e. AWS, Azure or GCP
o Experience in effectively presenting and summarizing complex data to diverse audiences through visualizations and other means
o Excellent verbal and written communications skills and strong leadership capabilities

Skills:
ML
MOdelling
Python
SQL
Azure Data Lake, dataFactory, Databricks, Delta Lake
Read more
Statusneo

at Statusneo

6 recruiters
Yashika Sharma
Posted by Yashika Sharma
Hyderabad, Bengaluru (Bangalore)
2 - 4 yrs
₹2L - ₹4L / yr
skill iconData Science
Computer Vision
Natural Language Processing (NLP)
skill iconMachine Learning (ML)
skill iconPython
+2 more

Responsibilities Description:

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.

 

Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.

 

Required Technical Skill Set:

  • Full cycle of building machine learning solutions,

o   Understanding of wide range of algorithms and their corresponding problems to solve

o   Data preparation and analysis

o   Model training and validation

o   Model application to the problem

  • Experience using the full open source programming tools and utilities
  • Experience in working in end-to-end data science project implementation.
  • 2+ years of experience with development and deployment of Machine Learning applications
  • 2+ years of experience with NLP approaches in a production setting
  • Experience in building models using bagging and boosting algorithms
  • Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
  • Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
  • Strong python skills following software engineering best practices
  • Experience in using code versioning tools like GIT, bit bucket
  • Experience in working in Agile projects
  • Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
  • Experience managing big data with efficient query program good to have
  • Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
  • Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
  • Experience with Health care sector is preferred
  • MS/M.Tech or PhD is a plus
Read more
Thinkdeeply

at Thinkdeeply

5 recruiters
Aditya Kanchiraju
Posted by Aditya Kanchiraju
Hyderabad
5 - 15 yrs
₹5L - ₹35L / yr
skill iconMachine Learning (ML)
skill iconR Programming
TensorFlow
skill iconDeep Learning
skill iconPython
+2 more

Job Description

Want to make every line of code count? Tired of being a small cog in a big machine? Like a fast-paced environment where stuff get DONE? Wanna grow with a fast-growing company (both career and compensation)? Like to wear different hats? Join ThinkDeeply in our mission to create and apply Enterprise-Grade AI for all types of applications.

 

Seeking an M.L. Engineer with high aptitude toward development. Will also consider coders with high aptitude in M.L. Years of experience is important but we are also looking for interest and aptitude. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility.

 

Experience

10+ Years

 

Location

Bozeman/Hyderabad

 

Skills

Required Skills:

Bachelors/Masters or Phd in Computer Science or related industry experience

3+ years of Industry Experience in Deep Learning Frameworks in PyTorch or TensorFlow

7+ Years of industry experience in scripting languages such as Python, R.

7+ years in software development doing at least some level of Researching / POCs, Prototyping, Productizing, Process improvement, Large-data processing / performance computing

Familiar with non-neural network methods such as Bayesian, SVM, Adaboost, Random Forests etc

Some experience in setting up large scale training data pipelines.

Some experience in using Cloud services such as AWS, GCP, Azure

Desired Skills:

Experience in building deep learning models for Computer Vision and Natural Language Processing domains

Experience in productionizing/serving machine learning in industry setting

Understand the principles of developing cloud native applications

 

Responsibilities

 

Collect, Organize and Process data pipelines for developing ML models

Research and develop novel prototypes for customers

Train, implement and evaluate shippable machine learning models

Deploy and iterate improvements of ML Models through feedback

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