FAQs
What is the primary role of the Machine Learning Engineer at Actalent?
The primary role of the Machine Learning Engineer at Actalent is to design, build, and deploy state-of-the-art AI/ML models that solve complex business problems while engaging with business teams to identify opportunities and translating those needs into innovative solutions.
What qualifications are required for this position?
Candidates are required to have 10+ years of industry experience with a BS in Computer Science, and 5+ years with an MS/PhD in Computer Science, Statistics, Applied Math, or a related field.
What programming languages should a candidate be proficient in?
A candidate should be proficient in C++, Python, Shell, SQL, and R.
What specific machine learning frameworks and tools should candidates be familiar with?
Candidates should be familiar with machine learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-Learn, ONNX, and language models like Transformers, BERT, and T5.
Is experience with cloud technologies a requirement?
Yes, experience with cloud technologies including AWS, Azure, Digital Ocean, and GCP is a requirement for this position.
What methodologies are relevant for this role?
Relevant methodologies for this role include Spiral, Agile, Waterfall, and Lean.
Are there any additional skills that would be beneficial for a candidate?
Yes, knowledge of recent AI techniques such as RAG, Prompt Engineering, and LoRA would be beneficial, as well as experience with tools like Docker, Kubernetes, and JIRA.
What is the experience level required for the Machine Learning Engineer position?
The position requires expert-level experience with a minimum of 5+ years of relevant experience, excluding school or internships.
How important are communication skills for this role?
Superb communication and interpersonal skills are essential for this role, as translating technical results into clear and actionable recommendations is a key responsibility.
Does Actalent promote diversity and inclusion?
Yes, Actalent is committed to diversity, equity, and inclusion, ensuring that hiring practices and workplace culture support these principles for the success of all employees.