SeniorLead Machine Learning Engineer

An ML engineer at IFS is part software engineer part dev ops engineer and ML savvy who combines knowledge of systems and applications machine learning and artificial intelligence to build and deploy AI-driven solutions. The work is focused on designing and maintaining high-performance scalable AI/ML infrastructure building and executing ML pipelines efficiently serving models at scale and creating the tools for continuous monitoring and improvements. 

Someone in this role uses their technical know-how to translate high-value and innovative AI opportunities into deployable and sustainable products. ML engineers are well-versed on AI/ML techniques ranging from statistical learning computer vision to generative AI. They have strong foundations in software engineering ML algorithms and mastered several AI/ML serving frameworks. ML engineers work in close collaboration with data scientists data engineers architects and DevOps engineers on the creation and deployment of highly scalable infrastructure and AI-driven solutions. 

ML engineers act as AI infrastructure experts in the development of production-ready scalable ML pipelines and AI-driven solutions along with our data scientist data engineers domain experts partners and clients. 

In addition ML engineers at IFS continuously expand their knowledge of AI infrastructure model monitoring/observability and drift detection functional and business process domain knowledge and share this knowledge to guide others. 

Qualifications :

Required Skills:

• Programming Skills: Strong proficiency in Python and experience with relevant libraries (NumPy Pandas Kserve etc.). Knowledge of additional languages like Go C# or SQL is a plus.
• Cloud Platforms & Dev Ops: Familiarity with cloud computing platforms (Azure) infrastructure as code (terraform helm charts) CI/CD Git Ops with ArgoCD and containerization technologies (Docker Kubernetes).
• AI/ML Fundamentals: Foundational understanding of machine learning concepts including supervised and unsupervised learning deep learning and model evaluation techniques.
• Data Handling: Proficiency in data preprocessing and feature engineering. Experience with relational and vector databases.
• Analytical Skills: Excellent analytical skills with the ability to interpret complex datasets and derive actionable insights.
• Communication Skills: Excellent verbal and written communication skills with the ability to effectively collaborate with cross-functional teams and stakeholders
• Education and Experience: A bachelors or masters degree in Computer Science Software Engineering Data Science or a related field with at least 3 years of experience in software development including some experience with AI/ML frameworks such as TensorFlow PyTorch or scikit-learn.

Additional Information :

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.

In Industrial and Financial Systems Central and Eastern Europe Sp. z o.o. based in Warsaw the Whistleblowing Procedure is in effect outlining the methods for reporting legal violations rules for accepting internal reports and taking follow-up actions as well as the principles for protecting whistleblowers. Reports can be submitted through the application at  available on the website  Work :

Yes

Employment Type :

Full-time