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- Tasks: Join us to apply cutting-edge ML solutions and scale innovative AI projects.
- Company: High Sky is a dynamic startup focused on open-source AI solutions in NLP and CV.
- Benefits: Enjoy remote work, flexible hours, professional growth, and health insurance after probation.
- Why this job: Be part of a young, results-driven team making impactful AI advancements for everyone.
- Qualifications: 6+ years of experience in ML, deep learning, and a degree in computer science or related fields.
- Other info: Opportunities for English lessons with native speakers and competitive salary based on interviews.
The predicted salary is between 43200 - 72000 Β£ per year.
Π‘ΡΠ°ΡΡΠ°ΠΏ, ΡΠ°Π·ΡΠ°Π±Π°ΡΡΠ²Π°ΡΡΠΈΠΉ AI-ΡΠ΅ΡΠ΅Π½ΠΈΡ Π² NLP ΠΈ CV, ΠΈΡΠ΅Ρ ΠΈΠ½ΠΆΠ΅Π½Π΅ΡΠ° Ρ ΠΎΠΏΡΡΠΎΠΌ ΠΎΡ 6 Π»Π΅Ρ. ΠΠ±ΡΠ·Π°Π½Π½ΠΎΡΡΠΈ Π²ΠΊΠ»ΡΡΠ°ΡΡ:
- ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ SOTA ML-ΡΠ΅ΡΠ΅Π½ΠΈΠΉ;
- ΠΌΠ°ΡΡΡΠ°Π±ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅;
- tuning ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ;
- Π°Π½Π°Π»ΠΈΠ· Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ²;
- ΠΈΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ Π±Π°Π³ΠΎΠ².
ΠΠ°ΡΠ° ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΡ High Sky Π½Π°ΡΠ°Π»Π° ΡΠ°Π·Π²ΠΈΠ²Π°ΡΡΡΡ ΠΊΠ°ΠΊ ΡΡΠ°ΡΡΠ°ΠΏ ΠΈ ΡΡΡΠ΅ΡΡΠ²ΡΠ΅Ρ Π½Π° ΡΡΠ½ΠΊΠ΅ Π±ΠΎΠ»Π΅Π΅ 1,5 Π»Π΅Ρ. Π‘Π΅ΠΉΡΠ°Ρ ΠΌΡ Π°ΠΊΡΠΈΠ²Π½ΠΎ ΡΠ°ΡΡΠΈΡΡΠ΅ΠΌ ΠΊΠΎΠΌΠ°Π½Π΄Ρ. Π£ Π½Π°Ρ ΠΌΠΎΠ»ΠΎΠ΄ΠΎΠΉ, ΠΏΡΠΎΡΠ΅ΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΉ ΠΊΠΎΠ»Π»Π΅ΠΊΡΠΈΠ², ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠΉ Π½Π° ΡΠ΅Π·ΡΠ»ΡΡΠ°Ρ. ΠΡΠ½ΠΎΠ²Π½ΡΠ΅ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ β NLP ΠΈ CV Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ SOTA ΡΠ΅ΡΠ΅Π½ΠΈΠΉ. ΠΡ ΡΠ°Π·ΡΠ°Π±Π°ΡΡΠ²Π°Π΅ΠΌ AI-ΡΠ΅ΡΠ΅Π½ΠΈΡ Ρ ΠΎΡΠΊΡΡΡΡΠΌ ΠΈΡΡ ΠΎΠ΄Π½ΡΠΌ ΠΊΠΎΠ΄ΠΎΠΌ, Π΄ΠΎΡΡΡΠΏΠ½ΡΠ΅ ΠΊΠ°ΠΆΠ΄ΠΎΠΌΡ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΡ Π½Π° ΠΏΠ»Π°Π½Π΅ΡΠ΅.
Π’ΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΡ:
- ΠΠΏΡΡ ΡΠ°Π±ΠΎΡΡ ΠΎΡ 6 Π»Π΅Ρ;
- ΠΠΏΡΡ ΠΊΠΎΠΌΠΌΠ΅ΡΡΠ΅ΡΠΊΠΎΠΉ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ Ρ Π½ΡΠ»Ρ;
- ΠΠΏΡΡ Π² deep learning, Π°Π½Π°Π»ΠΈΠ·Π΅ Π΄Π°Π½Π½ΡΡ ΠΈΠ»ΠΈ ΠΌΠ°ΡΠΈΠ½Π½ΠΎΠΌ ΠΎΠ±ΡΡΠ΅Π½ΠΈΠΈ;
- ΠΠΎΠ½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΠΊΠ»Π°ΡΡΠΈΡΠ΅ΡΠΊΠΈΡ ML-Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ², Π·Π½Π°Π½ΠΈΠ΅ SOTA ΡΠ΅ΡΠ΅Π½ΠΈΠΉ ΠΈ Π°ΡΡ ΠΈΡΠ΅ΠΊΡΡΡ Π² NLP ΠΈΠ»ΠΈ CV;
- ΠΡΡΡΠ΅Π΅ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΡΡ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ, ΠΏΡΠΈΠΊΠ»Π°Π΄Π½ΠΎΠΉ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠΈ ΠΈΠ»ΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΊΠΈ;
- ΠΠ½Π³Π»ΠΈΠΉΡΠΊΠΈΠΉ B2 ΠΈ Π²ΡΡΠ΅.
ΠΡΠ΄Π΅Ρ ΠΏΠ»ΡΡΠΎΠΌ:
- ΠΡΠΎΡ ΠΎΠΆΠ΄Π΅Π½ΠΈΠ΅ Π¨ΠΠ;
- ΠΠΏΡΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΏΡΠΎΠ΄ΡΠΊΡΠ° Π² ΡΠ΅Π°Π»ΡΠ½ΠΎΠΌ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ.
ΠΠ°ΡΠ°Π±ΠΎΡΠ½Π°Ρ ΠΏΠ»Π°ΡΠ° ΠΎΡ 6 Π΄ΠΎ 10 ΡΡΡΡΡ Π΄ΠΎΠ»Π»Π°ΡΠΎΠ² ΠΏΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌ ΡΠΎΠ±Π΅ΡΠ΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. ΠΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΠΏΡΠΎΡΠ΅ΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠΎΡΡΠ° ΠΈ ΠΎΠ±ΡΡΠ΅Π½ΠΈΡ. Π Π°Π±ΠΎΡΠ° Π² ΠΌΠΎΠ»ΠΎΠ΄ΠΎΠΌ, ΡΠ΅Π·ΡΠ»ΡΡΠ°Ρ-ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΌ ΠΊΠΎΠ»Π»Π΅ΠΊΡΠΈΠ²Π΅. ΠΠ°Π½ΡΡΠΈΡ Π°Π½Π³Π»ΠΈΠΉΡΠΊΠΈΠΌ Ρ Π½ΠΎΡΠΈΡΠ΅Π»Π΅ΠΌ, ΠΠΠ‘ ΠΏΠΎΡΠ»Π΅ ΠΈΡΠΏΡΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΡΡΠΎΠΊΠ°, ΠΏΠΎΠ΄Π°ΡΠΊΠΈ. ΠΠΈΠ±ΠΊΠ°Ρ ΡΡΡΡΠΊΡΡΡΠ°, ΡΠ΄Π°Π»Π΅Π½Π½Π°Ρ ΡΠ°Π±ΠΎΡΠ° Π±Π΅Π· ΠΏΡΠΈΠ²ΡΠ·ΠΊΠΈ ΠΊ ΡΡΡΠ°Π½Π΅.
Senior ML-Engineer employer: Open Data Science
Contact Detail:
Open Data Science Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior ML-Engineer
β¨Tip Number 1
Make sure to showcase your experience with state-of-the-art (SOTA) machine learning solutions in your conversations. Highlight specific projects where you've applied these techniques, especially in NLP or CV, as this will resonate well with our team's focus.
β¨Tip Number 2
Prepare to discuss your approach to model tuning and performance optimisation. We value engineers who can not only implement models but also enhance their efficiency, so be ready to share examples of how you've improved existing solutions.
β¨Tip Number 3
Familiarise yourself with the latest trends and frameworks in deep learning. Being knowledgeable about current advancements will demonstrate your commitment to staying at the forefront of the field, which is crucial for a role like this.
β¨Tip Number 4
Engage with our community on platforms like GitHub or LinkedIn. Sharing your insights or contributing to open-source projects related to NLP or CV can help you stand out and show your passion for the industry.
We think you need these skills to ace Senior ML-Engineer
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly in NLP and CV. Emphasise your familiarity with SOTA ML solutions and any specific projects that demonstrate your skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the company's mission. Mention how your background aligns with their focus on open-source AI solutions and your experience in deep learning.
Highlight Relevant Skills: In your application, clearly outline your technical skills, especially those related to deep learning, data analysis, and classical ML algorithms. Include any experience with tuning models and scaling solutions.
Showcase Continuous Learning: Mention any recent courses, certifications, or workshops you've completed, especially if they relate to machine learning or AI. This shows your commitment to staying updated in a rapidly evolving field.
How to prepare for a job interview at Open Data Science
β¨Showcase Your Experience
Make sure to highlight your 6+ years of experience in machine learning, especially focusing on any projects involving NLP and CV. Be prepared to discuss specific examples where you've applied SOTA ML solutions and how you contributed to the success of those projects.
β¨Demonstrate Technical Knowledge
Brush up on your understanding of classical ML algorithms and SOTA architectures relevant to NLP and CV. Expect technical questions that assess your knowledge and ability to tune models, analyse algorithms, and troubleshoot issues.
β¨Prepare for Problem-Solving Scenarios
Be ready to tackle hypothetical scenarios or case studies during the interview. This could involve discussing how you would approach scaling a model or optimising performance. Show your thought process and problem-solving skills clearly.
β¨Communicate Effectively in English
Since a B2 level of English is required, practice articulating your thoughts clearly and confidently in English. This will not only help you answer questions but also demonstrate your ability to communicate within an international team.
