FAQs
What is the main responsibility of a Machine Learning Engineer in this role?
The main responsibility is to engage with business teams to identify needs and translate them into innovative AIML solutions, design and deploy state-of-the-art AIML models, and communicate results effectively to stakeholders.
What are the educational requirements for this position?
The position requires a BS in Computer Science (10+ years of industry experience) or an MS/PhD in Computer Science, Statistics, Applied Math, or a related field (5+ years of industry experience).
What programming languages should the candidate be proficient in?
The candidate should be proficient in Python, C++, SQL, Shell, and R.
Are there specific frameworks and tools that the candidate should be familiar with?
Yes, familiarity with ML frameworks like TensorFlow, PyTorch, and Scikit-Learn, as well as IDE tools like PyCharm and Jupyter Notebook, is essential. Knowledge of cloud technologies such as AWS and Azure is also beneficial.
Is industry experience required for this position, and if so, how much?
Yes, the position requires 10+ years of industry experience with a BSCS or 5+ years of experience with an MS/PhD in the relevant fields.
What soft skills are important for this role?
Superb communication and interpersonal skills, along with the ability to operate independently and lead without authority, are crucial for this role.
Does the position require knowledge of specific AIML techniques?
Yes, knowledge of RAG, Prompt Engineering, LoRA, and other GenAI techniques is required for this position.
What type of experience is preferred in terms of industry focus?
Experience in Supply Chain, Operations, or a related field is preferred.
Are there opportunities for professional growth within the company?
Yes, Actalent emphasizes growth opportunities for employees, fostering a culture of care, engagement, and recognition.
Is Actalent an equal opportunity employer?
Yes, Actalent is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information, or any characteristic protected by law.