Junior Machine Learning Engineer
SymendAbout the role
The Opportunity
We are actively seeking a highly motivated Junior Machine Learning Engineer with a proven background in machine learning development. In this role, you will not only contribute to productizing and operationalizing diverse prototypes but also play a crucial part in designing and developing processes that can seamlessly scale to meet the demands of our dynamic environment. Additionally, you will be responsible for maintaining and improving our existing processes and deployment pipelines, making this an excellent opportunity to showcase your skills and drive impactful solutions. If you are passionate about pushing the boundaries of machine learning and are eager to take on new challenges, we would love to have you join our innovative team. Let's shape the future of AI together!
What You’ll Be Doing
- Develop ML tools and libraries for training, error analysis, serving, and maintaining ML models
- Write or re-engineer REST APIs in Python for ML models with best coding and engineering practices, unit testing, security, performance, and hardware resource allocation.
- Working with large language models (ChatGPT) for development of prompt engineering tasks and advanced solutions.
- Support Machine Learning life cycle management from data preparation to automation of model training, experiment analysis, and model/dataset registry steps with an emphasis to scale
- Collaborate with Data Scientists and Data Engineers on building MVPs from POC models and algorithms to scale.
- Automate, improve and enhance operational machine learning pipelines.
- Research, develop and scale state-of-the-art technologies.
- Own, improve, and document CI/CD for deployment of machine learning projects.
- Take initiative in communicating ideas, requirements and challenges to the team lead and product managers.
What you’ll Need
Education
- BSc in Computer Science, Software Engineering, or a related field.
- Master's degree or certificate in Machine Learning or Data Science would be an asset
Experience
- 2+ years in Python development
- 2+ years in Machine Learning development
- 2+ years in Software Engineering development
Key Competencies and Skills
- Passion for software engineering and machine learning engineering to streamline and automate the end-to-end R&D and production development process
- Strong software engineering experience in Python, REST API development, and maintenance in a production environment
- Knowledge of deployment practices such as code profiling, multiprocessing, database, API load/stress testing, unit testing, and API schema validation
- Knowledge of version control systems and concepts such as Git and GitFlow
- Knowledge of CI/CD process such as Azure DevOps Pipelines, Github Actions
- Familiarity with fundamental ML and LLM concepts
- Familiarity with frameworks such as TensorFlow, Keras, PyTorch, Spacy, and Scikit Learn
- Familiarity with the end-to-end machine learning software life cycle
- Familiarity with cloud services like Azure or AWS
- Familiarity with Agile and Scrum processes
- Comfortable with Unix/Linux commands and administration
- Ability to communicate effectively with technical and non-technical audience.
- Exceptional interpersonal and relationship management skills
- Eager to learn new concepts and expand their experience in a fast-growing startup
Don’t meet every single requirement? At Symend we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Why Symend? We could tell you all about our competitive compensation, flexible work environment, social Fridays, and awesome team events, but working at Symend is so much more than that! Working at Symend means being part of a driven and collaborative team that values trus
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