Machine Learning Engineer
Altamira
Πλήρης απασχόληση Μακρινός
Εργασία εξ αποστάσεως
Altamira is a software development outsourcing company. We provide solutions that make a tangible impact on our client's growth and productivity. With domain knowledge across product and technology development, we aim to provide cost-efficient solutions without compromising quality. We are driven to deliver the best, every single time.
Altamira service delivery teams currently span Slovakia, Ukraine, and the Middle East, and we have ambitions to expand our footprint to meet the growing demand across Europe and into our primary growth markets in the UK and the US. In terms of industry verticals, we are focused on EdTech, Fintech, eCommerce, and Pharma.
Altamira is seeking an AI/ML Engineer to design, optimize, and deploy machine learning models. You'll collaborate with cross-functional teams to ensure seamless deployment, lead experimentation strategies, and maintain high-performing models in production. Stay at the forefront of AI/ML advancements while documenting processes and driving continuous innovation.
Key Responsibilities:
Our transparent recruitment journey usually takes up to 2 weeks and includes a few stages:
Altamira service delivery teams currently span Slovakia, Ukraine, and the Middle East, and we have ambitions to expand our footprint to meet the growing demand across Europe and into our primary growth markets in the UK and the US. In terms of industry verticals, we are focused on EdTech, Fintech, eCommerce, and Pharma.
Altamira is seeking an AI/ML Engineer to design, optimize, and deploy machine learning models. You'll collaborate with cross-functional teams to ensure seamless deployment, lead experimentation strategies, and maintain high-performing models in production. Stay at the forefront of AI/ML advancements while documenting processes and driving continuous innovation.
Key Responsibilities:
- Design and deploy machine learning models, collaborating with engineers, data scientists, and product managers.
- Lead experimentation strategies and maintain robust pipelines.
- Ensure optimal model performance in production environments.
- Document processes and stay updated on AI/ML advancements to drive innovation.
- Proficiency in specialized use cases like NLP, LLMs, or recommendation engines.
- Strong understanding of ML algorithms and mathematical foundations.
- Hands-on experience with LLMs, RAG architecture, and agent-based systems.
- Prior experience with AWS Bedrock or similar cloud platforms.
- Proven track record in solving classification/regression tasks and deploying models.
- Expert-level Python skills and experience writing scalable software modules.
- Proficiency in Git and collaborative agile development workflows.
- Upper-intermediate level English proficiency.
- Excellent communication and problem-solving skills, with the ability to present technical concepts to non-technical stakeholders.
- Experience with AWS services (SageMaker, ECR, EMR, S3, Lambda).
- Practical experience with deep learning models in production.
- Experience building complex ML pipelines.
- Familiarity with distributed systems like Spark or Dask.
- Experience with data validation tools like Great Expectations.
Our transparent recruitment journey usually takes up to 2 weeks and includes a few stages:
- Recruiting Interview -> 30-45 min
- Technical Interview -> 1-1,5h
- Client Interview (optional) -> up to 1h
- Pre-Offer Call -> 15min
- Reference Check
- Offer
- Competitive salary, room for development and growth;
- Possibility to work in the Bratislava and Kyiv office or fully remotely;
- Loyal management, interesting tasks, constant support;
- Medical insurance (optional);
- English courses;
- Technical equipment providing;
- Paid vacations 20 workdays, paid sick leave, regular salary reviews;
- Flexible schedule and ability to manage your working hours;
- Support your personal growth and skills upgrading;
- The great environment inside the team, support of initiatives, and ability to contribute to the common goal.
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