ML Engineer
Uslovi
- Full Remote
- Full time, Ugovor o radu
Machine Learning Engineer
About the Role:
We are seeking a talented and experienced Senior Machine Learning Engineer to join our team and contribute to the development of cutting-edge, large-scale ML-based products. You will play a key role in designing and implementing innovative solutions for one of the largest MOOC platforms in the world, serving over 100M users.
This is a full-time, fully remote position, offering the chance to grow professionally while tackling challenging projects in the field of deep learning and recommender systems.
What You’ll Do:
– Design, develop, and optimize machine learning models for large-scale applications, with a focus on recommender systems.
– Leverage frameworks such as PyTorch or TensorFlow to create, train, and deploy deep learning models.
– Collaborate with cross-functional teams to integrate ML solutions into production systems.
– Analyze complex datasets to extract insights and improve model performance.
– Stay current with the latest research and advancements in machine learning and apply them to real-world problems.
What We’re Looking For:
– Minimum of 3 years of hands-on experience in machine learning engineering
– Proficiency in PyTorch or TensorFlow and expertise in deep learning.
– Proven experience working on recommender systems or similar large-scale ML applications.
– Solid understanding of data structures, algorithms, and programming languages such as Python.
– Excellent problem-solving skills and a passion for building impactful ML solutions.
– Ability to thrive in a remote, collaborative, and fast-paced environment.
What’s in It for You:
– Work on innovative projects that impact millions of users worldwide.
– Collaborate with a team of experts in a supportive and growth-oriented environment.
– Full remote flexibility, allowing you to work from anywhere in the world.
– Opportunities for professional development and exposure to cutting-edge technologies in machine learning.
If you’re passionate about using machine learning to solve real-world problems at scale, we’d love to hear from you!
Additional Info
Stručno usavršavanje?
U pitanju je jako ozbiljna USA firma koja ima svoj proizvod, sam projekat je izvrsna prilika za usavrsavanje.
Da li se radi prekovremeno?
Ne.
Outsorcing ili inhouse?
Zaposljenje u nasoj firmi, deo tima je u Srbiji, deo je kod klijenta.
Koje tehnologije koristimo?
Na frontend-u Angular, na backend-u Java i Spring Boot (2 odvojene pozicije).
Koju metodologiju razvoja softvera koristimo?
Scrum.
Postoji li test okruženje?
Da.
Postoji li mogućnost rada od kuće?
Iskljucivo rad od kuce.
Na koji način ulažemo u stručno usavršavanje zaposlenih?
Od zaposlenih se ocekuje da su vec dovoljnog senioriteta da se prikljuce timu. Problem i tehnologije su izazovne, ocekuje se da kandidat kroz proces nauci mnogo vise nego sto bi ijedan kurs mogao da ponudi. Naravno, ukoliko nekoga bude zanimalo, otvoreni smo za finansiranje odgovarajucih sertifikata/kurseva.
Broj zaposlenih u kompaniji I veličina tima?
Kod nas 16, uskoro 20+, kod klijenta 1000+, timovi su najcesce 5-10 ljudi.
Da li ću raditi na razvoju novog softvera ili održavanju postojećeg?
Razvoj novog.
Da li ću imati direktan kontakt sa klijentima?
Ne sa biznisom, da sa inzenjerima.
Da li se radi u timu ili jedan programer pokriva jedan projekat?
U timu.
Koliko sati traje radno vreme?
8
Da li postoji predefinisan system napredovanja? Ukoliko postoji, kako je definisan u kratkim crtama?
Napredovanje je u sklopu nase firme, kao i u sklopu klijenta.
Kako formirate taskove i development backlog?
Scrum.
Koliko dugo traje projekat za koji imate otvorenu poziciju i kakve garancije dajete za stabilnost posla kada ilia ko se projekat završi?
Da klijentom saradjujemo vec 2 godine, dugorocna je pozicija.
Da li postoji mogućnost napredovanja?
Da.
Hoću li biti okružen seniorima u timu?
Da, trazi se da kandidat takodje bude senior.