(Senior) Machine Learning Engineer

Posted 29 days agoViewed

💎 Seniority level: Senior

📍 Location: Poland

💸 Salary: 12000 - 19200 PLN per month

🔍 Industry: Software development

🪄 Skills: AWSPythonSoftware DevelopmentFlaskMachine LearningPyTorchAzureData scienceFastAPITensorflowCollaboration

Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related field.
Proven experience developing and deploying machine learning models, particularly LLMs and NLP.
Hands-on experience with rapid prototyping tools (like Streamlit) or simple service development (BE with FastAPI or Flask).
Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch.
Familiarity with cloud platforms (AWS, Azure, Google Cloud) and AI/ML services.
Client-facing experience in requirements gathering and solution presentation.

Design and implement advanced machine learning models, focusing on LLMs and NLP for complex problem-solving.
Use tools to rapidly prototype solutions and demonstrate concepts to stakeholders.
Stay at the forefront of AI/ML trends, contributing fresh ideas and methods.
Work closely with software development, product, and design teams to integrate AI/ML solutions seamlessly.
Engage with clients to understand needs, present prototypes, and refine solutions based on feedback.
Ensure model accuracy and reliability through rigorous testing and validation.

Posted 3 days ago

📍 CEE region

🧭 Full-Time

🔍 Digital commerce

BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python).
5-8 years experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment.
Strong awareness and understanding of recent trends in Generative AI and LLMs.
Strong understanding of various machine learning and natural language processing technologies.
Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in Redshift/BigQuery.
Good problem solving and analytical skills with adaptability to new ML technologies.
Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques.
Experience working with Big Data in a cloud-based production environment (AWS/GCP/Azure).
Effective communication skills in English, both verbally and in written form.

Design, develop, and enhance ML/AI models which mainly power Search and Recommendation.
Process historical data, search queries, product catalog, and images to extract hidden relations and features.
Conduct research to explore ongoing cutting-edge ML techniques and conduct a quick POC.
Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to production-level.
Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences.

AWSPythonSQLCloud ComputingData AnalysisData MiningGCPKerasMachine LearningPyTorch

Posted 3 days ago

Posted 4 months ago

📍 Europe, East coast of USA, Canada

🧭 Full-Time

🔍 Artificial Intelligence

🏢 Company: mozilla.ai

5+ years of professional experience in machine learning and strong background in software engineering.
Comfortable with open source development work.
Experience with deep learning frameworks, such as PyTorch, is a plus.
Experience with large-scale dataset processing and data augmentation techniques.
Experience with managing experiments and models using platforms like Weights and Biases, MLFlow, KubeFlow.
Strong proficiency in Python and familiarity with relevant libraries and tools.
Comfortable working in the cloud, including containerization and cloud resource management.
Excellent problem-solving skills and ability to work independently or as part of a team.
Effective communication skills, including translating technical concepts to non-technical stakeholders.
Demonstrated track record of delivering high-quality, scalable solutions in a fast-paced environment.

Develop tools to streamline development, management, and evaluation of models.
Collaborate on the design and build end-to-end machine learning pipelines on cloud infrastructure.
Prepare and preprocess datasets for model evaluation.
Run and manage experiments related to model evaluation and training.
Evaluate model performance using standard metrics and techniques.
Collaborate with other teams to ship features.
Implement MLOps best practices for model deployment and monitoring.
Engage with stakeholders, translating technical details into insights.
Contribute to the product engineering lifecycle, from ideation to deployment.

PythonMachine LearningMLFlowPyTorchCommunication SkillsCollaborationSoftware Engineering

Posted 4 months ago

🔧 Requirements