Senior ML Engineer

Posted 3 months agoViewed

View full description

💎 Seniority level: Senior

📍 Location: USA, UK, Portugal

🔍 Industry: Multilingual content, technology, AI

🏢 Company: Smartcat👥 101-250💰 $43,000,000 Series C 7 months agoInformation Technology Software

🪄 Skills: PostgreSQLPythonMachine LearningMongoDBPyTorchApache Kafka

Requirements:

Experience delivering end-to-end CV projects (e.g., detection, segmentation, analysis, OCR, classification, video processing).
Familiarity with classical ML techniques (e.g., clustering, boosting).
Deep understanding of a machine learning project lifecycle.
Experience developing and maintaining Python microservices and libraries.
Ability to work independently within a designated scope.

Responsibilities:

Coordinate data labeling efforts and curate high-quality datasets.
Design, develop, and optimize ML training pipelines.
Prepare models for production and contribute to deployment processes.
Oversee production models, ensuring proper performance through monitoring, fine-tuning, and troubleshooting.

Apply

Related Jobs

Apply

🔥 Senior ML Engineer (NLP)

Posted 27 days ago

📍 Europe

🔍 Software Development

🏢 Company: Smartcat👥 101-250💰 $43,000,000 Series C 7 months agoInformation Technology Software

🔧 Requirements

Experience with relevant SOTA, LLM tuning, and LLM benchmarking
Experience deploying heavy transformers and optimizing inference
In-depth understanding of the full lifecycle of ML projects
Strong Python skills

💡 Responsibilities

Develop and improve benchmarks for translation problems
Enhance automatic translation quality scoring system
Automate fine-tuning/customization of translation engines
Set up infrastructure for self-hosted solutions
Work with NER, word alignment, and other problems

PythonMachine LearningMLFlowNLTKPyTorch

Posted 27 days ago

Apply

🔥 Senior ML Engineer, Applied Machine Learning

Posted 5 months ago

📍 USA

💸 175000 - 225000 USD per year

🔍 Technology, Machine Learning

🏢 Company: Red Cell Partners👥 11-50 Financial Services Venture Capital Finance

🔧 Requirements

Proven experience in developing, optimizing, and deploying ML systems in production environments.
Strong background in building and managing end-to-end training pipelines for ML models.
Extensive knowledge and hands-on experience in fine-tuning large language models for specific use cases.
Skilled in ML frameworks such as TensorFlow and PyTorch.
Proficient in Python with a focus on writing efficient, clean code for ML applications.
Clear ability to communicate complex ML concepts to both technical and non-technical audiences.
Bachelor’s or Master’s degree in Machine Learning, Computer Science, Data Engineering, or a related field.
A track record of delivering impactful machine learning solutions.

💡 Responsibilities

Develop and deploy robust ML models for real-world applications.
Design and implement scalable pipelines for model training and retraining.
Continuously fine-tune large language models to improve performance.
Implement feedback loops for iterative model improvement.
Collaborate with product and business teams to align ML solutions with requirements.
Stay current with ML research and apply insights to the infrastructure.
Mentor junior team members to foster technical growth.
Communicate ML methodologies and results to non-technical stakeholders.

PythonMachine LearningPyTorchData engineeringTensorflowCollaboration

Posted 5 months ago

Apply

🔥 Senior ML Engineer (Portugal Based Remote/Hybrid)

Posted 5 months ago

📍 Portugal

🔍 Healthcare Technology

🔧 Requirements

Strong background in AI and ML methodologies.
Experience in collaboration with clinical teams is preferred.
Specific technical skills and qualifications not mentioned.

💡 Responsibilities

Leverage AI and ML to enhance clinical care personalization and scale.
Collaborate closely with the clinical team.
Develop decision support systems for clinical prescription management.
Create ranking systems to prioritize member assistance.
Enhance engagement systems for relevant communication.
Work on projects like 'Phoenix' to empower Physical Therapists.
Focus on incorporating recent developments in Generative AI for greater personalization.

PythonMachine LearningNumpyTensorflow

Posted 5 months ago

Apply

🔥 Senior ML Engineer, Applied Machine Learning

Posted 5 months ago

📍 USA

🧭 Full-Time

💸 175000 - 225000 USD per year

🔍 Technology-led companies in healthcare, cyber, and national security

🏢 Company: Trase Systems

🔧 Requirements

Proven experience in developing, optimizing, and deploying ML systems in production environments.
Strong background in building and managing end-to-end training pipelines.
Extensive knowledge and hands-on experience in fine-tuning large language models for specific use cases.
Proficiency in ML frameworks such as TensorFlow, PyTorch, or similar tools.
Proficient in Python for writing efficient, clean, and maintainable ML code.
Ability to distill complex ML concepts for both technical and non-technical audiences.
Bachelor’s or Master’s degree in Machine Learning, Computer Science, Data Engineering, or a related field.
A track record of implementing machine learning solutions that drive value.

💡 Responsibilities

Develop and deploy robust ML models that deliver high-impact results.
Design and implement efficient, scalable training pipelines for ML models.
Continuously fine-tune large language models for enterprise requirements.
Implement and refine feedback loops for ML model improvement.
Collaborate with product and business teams to translate requirements into ML solutions.
Stay updated with ML research and best practices to enhance ML infrastructure.
Mentor junior team members and foster continuous technical growth.
Communicate ML methodologies and results to non-technical stakeholders.

PythonMachine LearningPyTorchTensorflowCollaboration

Posted 5 months ago

Apply