Software Country’s Post

#Hiring - Mid/Senior Software Engineers (Data Pipeline) - Scientific Data Cloud Series B company that is a pioneer in their sector, serving as the crucial link between the extensive data repositories of BioPharma and Life Sciences enterprises, and the training of large language models. This team is empowering scientists by giving them better tools to manage their data, ultimately accelerating scientific breakthroughs and improving human health and longevity. Comment or DM if you or someone you know might be interested. Disclosure: Currently only able to consider US Citizens and GC Holders - cannot support H1 transfers #Python #TypeScript #NodeJS #ApacheSpark #AWSglue #datainfra #datapipeline #bioinformatics #datacloud #scientificdata

+ Domain specialisation will become increasingly important in the #AI era

One of the top 1% of data engineering talents that the majority of people are unaware of? Data engineering for streaming You'll rank in the top 1% if you comprehend this. And the most absurd aspect? Even the course can be taken for free online. It shows you how to use Quix Streams, Kafka, and Python to create real-time data pipelines and streams. Live coding, Q&A sessions, video instructions, and code examples are all combined in one course. You will learn how to use Quix Streams, a pure Python library for working with Kafka. Its UI is simple and elegant, and it's lightweight. This is their repository on GitHub: How to Become a Streaming Data Engineer at Quix.io/Quix-Academy Visit our website for more job career on tech www.punditspace.io #Remote #HIRING #Data#JOBS#TECH#

Hi Aspirants, Machine Learning Engineer Location: Phoenix, AZ(Day 1 onsite) No H1B, CPT, OPT Please share your resumes to Recruiter5@techim.ca   Required Skills: perform the analysis of the use case, determine which models should be leveraged to solve a given problem, collect and structure data to feed the model, validate the model outputs, perform model tuning and optimization, and execute tests to confirm the accuracy and reliability of a given model. They are familiar with the following tools to perform their duties: Python (Pandas, NumPy, PyTorch, TensorFlow/Keras, Scikit-learn, Matplotlib, Seaborn), and SQL (RDBMS, Hive, Spark, NoSQL). hashtag #corptocorp hashtag #corptocorpstaffing hashtag #corptocorphiring hashtag #corptocorpjobs hashtag #corptocorpopenposition hashtag #ctc hashtag #ctcopenroles hashtag #ctcopenposition hashtag #ctcstaffing hashtag #ctchiring hashtag #c2croles hashtag #c2chiring hashtag #c2copenposition hashtag #c2chiring hashtag #c2cjobs hashtag #c2cstaffing hashtag #staffing hashtag #hiringjobs hashtag #hiring hashtag #usajobs hashtag #usahiring hashtag #ushiring hashtag #usjobs hashtag #usopenpositions hashtag #usaopenpositions hashtag #careeropportunities hashtag #usacareeropportunities hashtag #c2ccareeropportunitie hashtag #usc2ccareeropportunities #mlengineer #machinelearningengineer #machinelearning #spark #Python #sql #tenseflow #pandas #pytorch #numpy #Matplotlib #RDBMS #hive #pyspark

#Machine Learning (ML) Engineer #Phoenix, AZ- NEED LOCALS Experience – 10+ Years. Work Auth: Any visa with PP Number Required Skills & Experience: =>Programming: Proficiency in #Python with extensive experience using libraries such as #Pandas, #Numpy, #PyTorch, #TensorFlow/#Keras, #Scikit-learn, #Matplotlib, and #Seaborn. =>Data Handling: Strong experience in SQL with hands-on knowledge of #RDBMS, #Hive, #Spark, and #NoSQL databases. =>Machine Learning Expertise: Deep understanding of machine learning algorithms, model selection, and performance optimization techniques. =>Data Processing: Ability to preprocess and transform data, perform feature engineering, and handle large datasets. #Pravalika@tetrahed.com

If you are aware of any opportunity for a Data Scientist, Machine Learning/Artificial Intelligence engineer please let me know. That is for a candidate with 2 years of experience of selecting  and training AI models across diverse fields such as NLP and computer vision. Proficient in Python, TensorFlow, and PyTorch,  with a strong foundation in statistical analysis and data preprocessing techniques, in addition to the following skills: • LINUX OS • Data Structure • Algorithms • Shell scripting • Git proficiency • Basics of Kafka and RabbitMQ • Docker: (docker, docker compose and docker swarm) • Process tools: Jira, bitbucket • Microservices

#hiringalert For C2C Role 1. Position:  Data scientist architect With (Gen AI) Location –  Middle town NJ,Onsite Mandatory-( Gen AI) Interested candidates can share their updated resumes over my email anjali.v@e-solutionsinc.com #datascientist #datascience #machinelearning #dataanalytics #python #artificialintelligence #data #ai #bigdata #programming #deeplearning #coding #pythonprogramming #datavisualization #dataanalysis #genAI #GENAI #machinelearning #ml #AI #artificialIntellience

#Immediate_hiring #Locals_only Python Developer - 02 Positions San Jose, CA Interview Process: 3 Rounds of Interview Must Have Experience: Experience with Python, Object Oriented programming Develop and maintain RESTful APIs & backend services in Python that use technologies like Flask, Datadog,and Celery. Design and implement Python SDKs for various applications. Nice to have Experience: Experience with python dependency management tools like Pip, Conda Experience using Juptyer notebooks for e.g. Data science or ML tasks Manage programmatic job scheduling and data pipelines using tools such as Airflow. Develop and maintain queries for offline databases using technologies such as Presto, Hive, and Spark. ______________________________________________________________________________ Kindly share me resumes & queries: Vivek.b@shimento.com/(408) 216-7952. #hive #spark #presto #airflow #pip #conda #machine_earning #SDK

Software Engineer What You'll Do: Build and maintain an automated system for running Python benchmarks on a variety of platforms. Interacting with IT to provision and monitor benchmarking resources in the cloud or on-premise. Building data analysis pipelines to process performance data and share it with stakeholders. Write Python-based tools to setup benchmark environments, run benchmarks, and gather / analyze results What You Need: Python development and packaging experience CI/CD experience Devops tools, such as Terraform Some data engineering tool experience: Examples include dbt, Airflow, Prefect Team attitude: "I am not done, until WE are done" Embody our core values: Great People Great Product Great Performance Care deeply about fostering an environment where people of all backgrounds and experiences can flourish What Will Make You Stand Out: Experience with high performance computing and program optimization Knowledge of Python internals Experience creating compiled Python extensions Experience with GPU computing