Python Developer - LLM Project at YO HR Consultancy
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Job Description
<div> Senior Python Developer - LLM Project <br/> <br/> <strong> Experience </strong> : 3 - 18 Years <br/> <br/> <strong> Location: - </strong> Anywhere in the World - Permanent Remote <br/> <br/> <strong> Contract Duration: </strong> 6 to 12 Months <br/> <br/> <strong> Payout: </strong> USD 8 - 20 Hourly <br/> <br/> <strong> Work timings which is :- </strong> primarily, overlap is required from 8 AM to 1 PM PST. The remaining 3 hours can be accommodated either before 8 AM PST or after 1 PM PST <br/> <br/> <strong> Opportunity- </strong> Full Time, 8 hours, 6 months <br/> <br/> <strong> Overlap Required: </strong> 5 hours PST timing <br/> <br/> <strong> Must-Have <br/> <br/> </strong> Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience) <br/> <br/> At least 2+ years of relevant experience with Python <br/> <br/> Excellent communication abilities to work with stakeholders and researchers successfully <br/> <br/> Fluent in conversational and written English communication skills. <br/> <br/> The working hours for this role require a 5-hour overlap with Los Angeles(PST) time zone. Please make sure that the candidate is ready to work accordingly. Standard work hours are 8 AM PST - 4 PM PST. <br/> <br/> <strong> Job Description <br/> <br/> </strong> We are actively seeking talented Senior Python Developers to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and who aspire to be at the forefront of AI advancements. You will work with different companies in the US who are looking to develop both commercial and research AI solutions. <br/> <br/> <strong> Job Responsibilities <br/> <br/> </strong> <ul> <li> Write effective Python code to tackle complex issues </li> <li> Use business sense and analytical abilities to glean valuable insights from public databases </li> <li> Clearly express the reasoning and logic when writing code in Jupyter notebooks or other suitable mediums </li> <li> Communicate and collaborate with researchers </li> <li> Ensure comprehensive code documentation </li> <li> Utilize your data analysis skills to develop and respond to important business queries using available datasets (such as those from Kaggle, the UN, the US government, etc.) <br/> <br/> </li> </ul> <strong> Job Requirements <br/> <br/> </strong> <ul> <li> Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience) </li> <li> At least 2+ years of relevant experience with Python </li> <li> Industry experience and knowledge of code quality, formatting, and best practices of software development </li> <li> Excellent communication abilities to work with stakeholders and researchers successfully </li> <li> Strong data analytic abilities and business sense are required to draw the appropriate conclusions from the dataset, respond to those conclusions, and clearly convey the key findings </li> <li> Fluent in conversational and written English communication skills <br/> <br/> </li> </ul> Skills: computer vision,data analysis,data sets,computer science degree,opencv,software development,engineering,jupyter notebooks,stakeholders and researchers collaboration,stakeholders communication,communication,collaboration,python scripting,business sense,fluent in english,tensorflow,data analytics,stakeholders management,data analytic abilities,english communication skills,engineering degree,written english communication,code documentation,code quality,django,written english communication skills,conversational english communication skills,computer science,communication abilities,data visualization,flask,analytical abilities,software deployment,numpy,artificial intelligence,deep learning,python,python code,machine learning,data analysis skills,researchers,documentation,data analytic,code formatting </div>
AI Powered Job Insights
Exciting Opportunity for Senior Python Developers! YO HR Consultancy is searching for talented individuals ready to contribute to innovative AI projects. This remote position allows professionals to collaborate globally while developing cutting-edge solutions in the field of AI technology. 📍 Location: Anywhere in the World - Permanent Remote 💼 Position: Senior Python Developer - LLM Project ⏰ Type: Contract (6 to 12 Months) 📅 Date Posted: 2024-07-07 💰 Payout: USD 8 - 20 Hourly Role Summary: - Join a dynamic team focused on advancing AI technology. - Work with various companies in the US to develop commercial and research AI solutions. What You'll Do: - Write effective Python code to address complex challenges. - Analyze public databases to derive valuable insights. - Document code thoroughly and express logic clearly in Jupyter notebooks. - Communicate and collaborate with researchers effectively. What's Needed: - A Bachelor’s/Master’s degree in Engineering, Computer Science, or equivalent experience. - Minimum of 2+ years of relevant Python experience. - Strong communication skills for effective stakeholder collaboration. - Data analysis skills to draw insights from datasets, with an emphasis on business understanding. This is a great opportunity for candidates capable of overlapping their working hours by 5 hours with the Pacific Time Zone (PST). If you want to be part of a team shaping the future of AI, this role might be for you!
Top Interview Questions
- Q: How do you handle debugging complex Python code?
A: When debugging complex Python code, I begin by analyzing the error messages to identify the root cause. I use Python's built-in debugging tools such as PDB to step through the code line-by-line. I also find it helpful to isolate parts of the code by creating smaller test cases that mimic the problem. Additionally, I utilize logging to track variable states and outputs, which can provide insights into where things are going wrong.
- Q: What experience do you have with integrating Python APIs, particularly in AI or data analysis projects?
A: I have integrated several Python APIs in my projects, specifically using frameworks like Flask and Django to expose RESTful services. In a recent AI project, I integrated a machine learning model using Flask, allowing users to submit data and receive predictions. I also ensured proper authentication and data handling to maintain security. This experience has highlighted the importance of clear API documentation and versioning.
- Q: Can you describe a project where you utilized data analysis to draw insights from a public dataset?
A: In a previous project, I used a public dataset from Kaggle related to housing prices to develop a predictive model. I began with data cleaning and preprocessing using Pandas, followed by exploratory data analysis to identify trends. I then implemented various regression techniques to forecast prices and presented my findings using visualizations generated with Matplotlib and Seaborn. This project not only enhanced my data analysis skills but also improved my understanding of how to communicate complex findings to stakeholders.
- Q: How do you ensure the quality and documentation of your code in Python projects?
A: To maintain code quality, I follow best practices such as adhering to PEP 8 style guidelines and using linters like Flake8 to catch errors early. I also implement unit tests using the pytest framework to ensure the code behaves as expected. For documentation, I use docstrings within my code to explain the purpose and functionality of functions and classes. Additionally, I create comprehensive README files and use tools like Sphinx for generating detailed project documentation.
- Q: How do you approach collaboration with researchers or stakeholders in a project?
A: Collaboration with researchers and stakeholders is crucial, and I prioritize clear communication. I start by ensuring I understand their goals and requirements through initial meetings. During the project, I provide regular updates and use collaborative tools like JIRA and Slack to maintain transparency. I also make it a point to document our discussions and decisions, which helps keep everyone aligned. In instances of feedback, I actively listen and adjust my approach to meet project objectives.
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