Machine Learning Engineer - Internships And Full-Time Positions

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79mn6t

Machine Learning Engineer PositionsWe have to fillmultiplepositions.
Depending on your previous work experience (years in the job market), qualification (Bachelor, Master, Ph.D., Post-doc) you might be offered two types of position.
You have :
..
no work experience, and a Master / Bachelor ->We offer you anInternship
..
at least 2 year of work experience OR a Ph.D.
/ Postdoc ->We offer you aFull-Time Position
About UsWe are a Machine Learning and Computer Vision startup founded in ****, headquartered in Dublin, Ireland, with an AI Lab in Milan, Italy.
Our expertise spans Machine Learning and Generative AI for financial services and Computer Vision for life sciences.
At Gemmo AI, we build custom AI solutions that combine automation with human insight.
We use a modular approach: first we explore the highest-impact opportunities, then we design and deploy tailored solutions, and finally we help improve and maintain them over time.
We believe in responsible, pragmatic AI: systems that integrate into real workflows, provide measurable value, and remain under your control.
Our TeamMachine Learning & Engineering:20 people, including 4 Ph.D.
s
Business & Strategy: 2people
Leadership:2 people
A lean, technical-first team and we're growing.
We're looking to add 5 new tech roles before the end of the year
What You'll Do?
Depending on your profile and interests, you could be placed on one of two flagship tracks:
Track 1. AI for Financial Services:You'll work on Machine Learning solutions for one of the most data-rich industries in the world.
Problems you might tackle include prediction models, document analysis with ML, fine-tuning LLMs for conversational data interfaces, and extracting actionable insights from large-scale datasets.
Track 2. Computer Vision for Pharma:You'll contribute to Computer Vision pipelines deployed in pharmaceutical environments, think object tracking, behaviour understanding, and solving complex real-world problems with nothing but a camera and a well-trained model.
Both tracks involve close collaboration with senior engineers and direct exposure to enterprise clients.
This is not a support role; you'll be expected to contribute from day one.




What You Will Learn?
Build Machine Learning models with financial data
Design, build, and maintain CRUD APIs to interact with users and serve the models
Deploy, monitor, and maintain applications in Azure and Snowflake
Tech StackWe use a mix of modern tools and languages.
You'll have the chance to explore and work with technologies like these:
Languages:Python, SQL
ML Frameworks:PyTorch, XGBoost
API Frameworks: FastAPI
Databases:Snowflake, Postgres
Cloud:Azure, AWS
How We Work?
We're a small team, everyone is expected to communicate clearly, move fast, and take ownership.
CommunicationWe run one short standup every morning align on daily priorities.
Everything else lives in writing: project documentation on Linear and GitHub, async conversations on Slack with dedicated channels per team and project.
Rhythm & OrganisationWe work in weekly sprints, so priorities are always clear and nothing drags.
Every Friday we run a retrospective, an open conversation about what's working and what isn't.
Compensation - InternshipsCompensation:€830 gross/month (€5,000 gross total over 6 months)
Contract type:Convenzione Stage curriculare / extra-curriculare
Relocation bonus:€3,000 gross, paid in three instalments of €1,000 each to support your move to Milan
Food Allowance: €600
Monthly travel reimbursement:up to €370 /month
Equipment :Brand new apple M5 14inch
High non-cash value(mentorship, fast promotion)
Duration:6 months, with a 1-month trial period
Career Path for Interns
This internship is not a dead end it's the front door.
We hire interns with the explicit intention of converting them into full-time engineers.
Here's what that typically looks like:




Internship ? Full-Time ConversionMost interns transition to a permanent contract within 3 to 6 months.
The strongest performers make the jump in as little as 2 months.
We don't believe in making people wait if the fit is clear.
Compensation Full-TimeRAL:€33,000 gross, CCNL Metalmeccanico level C3
Relocation Package: €3'000
Food Allowance: €1'200
Project bonuses:awarded on delivery and client impact
Year-end premio:a awarded for outstanding team performance
Salary progression:+10% at each career level
Salary reviews:it happens every year
Equipment :Brand new apple M5 14inch
Contract Type: Tempo Determinato
Duration:6 months, with a 1-month trial period
Career Path for Tempo Determinato
You do a great job in your first six months with us and we will offer you a Tempo Indeterminato before the end of your contract.
Remote Work & ScheduleThis is a remote position, and you are free to work from anywhere inItaly.
However, if you fancy collaborating with other members of the team, you are welcome to join our Milan office (Via Zuretti 34, Milan).
Working hours:
Monday–Friday: 8:*******:30 CET
Lunch: 13:*******:00 (flexible)
Selection Process
We keep it fast, respectful, and transparent.
Interview with CEO (15 min):Motivation, Background knowledge and Availability
Interview with CTO or Senior Engineer (15 min):Company and role presentation, alignment on expectations.
Technical Interview ****** min):Technical discussion on ML principles and system design.
No whiteboard coding or Leetcode-style questions.
Total timeline:3 to 4 weeks
MandatoryExperience with training custom ML models using PyTorch and XGBoost;
Familiarity with API development;
Good understanding of relational databases and experience with querying and managing data;
Knowledge of version control systems (e.g., Git);
B2+ English proficiency;
Nice to HaveExperience with interaction with LLMs (GPT, Claude, Gemini) via API calls;
Experience with running Machine Learning inference jobs with PyTorch or ONNX
Travel: Once a year, the whole team flies to Dublin for a 3-day offsite at our HQ.
Offsite: We also invite once a year the company to a nice place
#J-*****-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79mn6t