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Junior AI/ML Engineer – Python Developer
EUROPEAN DYNAMICS. Implement advanced ML solutions and model deployment strategies (MLOps) .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in implementing advanced Machine Learning solutions and model deployment strategies, with a strong focus on Python programming and AI governance practices. Proficient in building Generative AI components and integrating leading AI frameworks and tools.
Highest-signal resume keywords
Python ProgrammingMLOps ImplementationGenerative AI DevelopmentFastAPI MicroservicesAI Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
PythonPandasNumPySciPyMatplotlibSeabornFastAPIFlaskPydanticSQLAlchemy
Soft Skills
Excellent English Communication
Tools & Technologies
AWS SageMakerAzure Machine LearningLangChainLangGraphHaystackPyTorchTensorFlowONNXSparkDatabricks
Industry Keywords
AI GovernanceAI/NLP PipelinesBig Data SystemsCloud PlatformsInternational Projects
Tech Stack
Tools & technologiesAWSAzureCloudFlaskMicroservicesNumpyPandasPySparkPythonPyTorchSparkTensorflow
About the role
Key responsibilities & impact- Implement advanced ML solutions and model deployment strategies (MLOps)
- Build Generative AI components and pipelines, including RAG architectures, orchestration layers, and evaluation frameworks
- Contribute to AI governance, observability, monitoring, and responsible AI practices
- Contribute to the design and documentation of AI solutions
- Perform Python implementation tasks
- Implement microservices using frameworks such as FastAPI, Flask, and Pydantic
- Work on challenging international projects delivering ML and AI solutions for major international public organizations
Requirements
What you’ll need- A university degree in IT or a related field
- Very good knowledge of Python, pandas, NumPy, SciPy, Matplotlib, seaborn
- Good knowledge of FastAPI, Flask, Pydantic, SQLAlchemy
- Hands-on experience using and integrating leading LLMs and SLMs
- Familiarity with AI frameworks such as LangChain, LangGraph, Haystack
- Familiarity with major ML frameworks such as PyTorch and TensorFlow
- Familiarity with model formats such as ONNX
- Excellent command of English, written and spoken
- Experience designing and implementing AI/NLP pipelines (AI Ops / NLP Ops) — nice to have
- Familiarity with AWS SageMaker and/or Azure Machine Learning platform — nice to have
- Familiarity with cloud platforms such as AWS or Azure — nice to have
- Familiarity with Big Data systems such as Spark (PySpark) and/or Databricks — nice to have
Benefits
Comp & perks- Competitive full-time salary
- Private Health Coverage on the Company’s group program
- Flexible Working Hours
- Top-of-the-Line Tools
- Language courses
- Specialized training
- Continuous learning opportunities
- Career growth opportunities
- Dynamic work environment with challenging goals, autonomy, and mentoring