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AI/ML Engineer

extra holidays - extra parental leave
Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Anywhere

Offer summary

Qualifications:

2-3 years experience as Machine Learning Engineer, Proficient in Python and NLP techniques, Strong software development experience in Java, Spring Boot, Python, JavaScript, Familiarity with TensorFlow or PyTorch, Bachelor's or master's degree in Computer Science or related field.

Key responsabilities:

  • Develop and deploy AI models, focusing on BERT, GPT and Transformers
  • Support pre-trained model utilization for tasks and domains
  • Contribute to data preprocessing and feature extraction
  • Collaborate with teams to define project goals and meet requirements
  • Assist in machine learning methodology implementation and optimization of graph neural network models
Solve.Care logo
Solve.Care Scaleup https://solve.care/
51 - 200 Employees
About Solve.Care
Solve.Care created a healthcare relationship management platform using blockchain to define the next generation of care coordination, benefit administration and payments. We help streamline the way healthcare is managed, accessed, delivered, and paid for. We do it in a manner that is more secure, efficient, and cost-effective by using easy, simple, and proven proprietary Web 3.0 technology. Our Solve.Care Platform is the foundation of an entire ecosystem where different interoperable digital healthcare networks are built and operated to serve the many different needs of healthcare, while removing barriers and frictions inherent in the industry. Now, with our new revolutionary Care.Labs, we are ushering in an era of innovation by enabling anyone to create their own digital Care Networks in an unbelievably short time frame and low cost. Care.Labs effectively reduces the risk of your healthcare business' digital transformation. We equip you with the tools to make your healthcare system easy and simple.
See more Solve.Care offers

Job description

Job description:



As a AI and Machine Learning Engineer, you will play a pivotal role in our AI initiatives, supporting the development of advanced models and contributing to data pre processing. Collaborating closely with cross-functional teams, you will assist in experimenting with model architectures, adhering to ML engineering best practices, and staying updated with the latest AI research.

RESPONSIBILITIES:

· Development and deployment of AI models, focusing on techniques like BERT, GPT, and Transformers architecture for the approved requirements.

· Support the utilization of pre-trained models from libraries like Hugging Face for specific tasks and domains.

· Contribute to data pre processing, aiding in feature extraction and dataset preparation for training and testing.

· Collaborate within cross-functional teams to define project goals and assist in meeting project requirements.

· Aid in applying machine learning principles, algorithms, and methodologies in project contexts.

· Assist in the implementation and optimization of graph neural network models like GraphSAGE and VGAE.

· Support the exploration of various model architectures, hyperparameters, and techniques to improve performance.

· Contribute to best practices in machine learning engineering, including model versioning, testing, and documentation.

· Work with Python, and relevant libraries (NumPy, Pandas, etc.), showcasing problem-solving skills within a fast-paced, collaborative environment.

· Convey complex technical concepts effectively to non-technical stakeholders.

REQUIREMENTS:

· 2-3 years of experience as a Machine Learning Engineer, emphasizing Python proficiency and NLP techniques.

· Strong software development exp. in Java, Spring boot, Python, JavaScript

· Very good exp. in SDLC and MLOps

· Familiarity with deep learning frameworks like TensorFlow or PyTorch.

· Exposure to generative models (BERT, GPT, Transformers) and Hugging Face models.

· Basic understanding of graph neural network models and related architectures.

· Strong grasp of machine learning fundamentals and methodologies.

· Proficiency in Python programming language, with experience in NumPy, Pandas, etc.

· Excellent problem-solving abilities and adaptability in a collaborative setting.

· Strong verbal and written communication skills.


QUALIFICATION


· Bachelors or masters degree in computer science, Engineering, or a related field.


Compensation$2000-4000

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Technical DocumentationData PreprocessingPython (Programming Language)MLOps (Machine Learning Operations)Deep LearningGenerative Artificial IntelligenceJava (Programming Language)Machine LearningTensorFlowPyTorch (Machine Learning Library)Feature ExtractionHugging Face (NLP Framework)Software DevelopmentNatural Language Processing (NLP)

Other Skills

  • Verbal Communication Skills
  • Collaboration
  • Problem Solving
  • Adaptability
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