Senior Machine Learning Engineer
I
InnovecsSupply Chain & Logistics
Ukraine, Poland, Romania, Spain, RemoteFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Upper Intermediate English
- Experience
- At least 5 years of relevant work experience in machine learning, data science, or a related field
- Required Skills
- DockerPythonSQLElasticSearchKafkaKubeflowKubernetesMLFlowMongoDBPyTorchSnowflakeAirflowAlgorithmsCassandraData StructuresGrafanaPrometheusNosqlPandasSparkTensorflowMLOps
Requirements
- BSc degree in Computer Science, Data Science, Statistics, or a related field. A Master's degree is a plus
- At least 5 years of relevant work experience in machine learning, data science, or a related field
- Proficiency in Python and SQL/NoSQL (Cassandra, MongoDB) for quantitative analysis, modeling, and data manipulation
- Knowledge of cloud technologies such as AWS Sage Maker and MLOps practices and tools (e.g., MLFlow, KubeFlow)
- Knowledge of basic data structures and algorithms and OOP
- Experience with Big Data Analytics and tools (e.g., Elasticsearch, Spark, Airflow) for data analysis and visualization
- Familiarity with model deployment, MLOps practices, and the lifecycle of machine learning models
- Familiarity with model and application monitoring tools (e.g., Evidently.ai, NewRelic)
- Exceptional troubleshooting and problem-solving abilities
- Strong analytical skills and experience working with large volumes of data
- A strong desire to continuously learn, improve, and stay updated with the latest technologies and trends in AI/ML
- Innovative and creative problem-solving skills, with the ability to approach challenges from multiple angles
- Upper Intermediate English level, with excellent communication skills to effectively collaborate with both technical and non-technical teams
Responsibilities
- Understand business cases to evaluate potential solutions, leveraging ML and AI to address complex challenges
- Analyze large, complex data sets to translate them into actionable insights
- Simplify data sets to solve a wide array of challenging problems using analytical and statistical approaches
- Perform the preparation and preprocessing of both structured and unstructured data to ensure model accuracy and effectiveness
- Design, develop, implement, and test both descriptive and predictive ML models, focusing on quality, accuracy, and consistency
- Convert data into meaningful insights and present information using advanced data visualization tools and techniques
- Deploy models into production environments and be responsible for model management (MLOps)
- Mentor machine learning engineers and junior machine learning engineers in the AI/ML team
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