Job description

This is a remote position.

Role Overview:

We are seeking a highly skilled and experienced Senior Technical Assessor/Interviewer specializing in Machine Learning (ML), Natural Language Processing (NLP), and Data Modeling to join our team. This advanced role involves evaluating technical candidates for various senior-level positions in these areas, ensuring they meet the highest standards of technical proficiency, problem-solving abilities, and cultural fit. The ideal candidate will possess a deep expertise in ML, NLP, and Data Modeling methodologies, tools, and practices, along with a strong ability to mentor and guide the technical assessment process.

Responsibilities:

Design and conduct comprehensive technical interviews and assessments for senior-level positions in ML, NLP, and Data Modeling, ensuring a thorough evaluation of candidates technical skills, experience, and cultural fit.
Develop and continuously update advanced assessment criteria and interview questions to reflect the latest trends, tools, and best practices in ML, NLP, and Data Modeling.
Collaborate closely with the HR and technical teams to understand complex role requirements, desired skills, and team dynamics, tailoring assessments accordingly.
Provide detailed, actionable feedback and recommendations to the hiring team, playing a key role in informing hiring decisions.
Stay abreast of the latest advancements in ML, NLP, and Data Modeling technologies, tools, and practices, ensuring that assessments remain current and relevant.
Facilitate in-depth technical workshops or discussions to evaluate candidates’ hands-on skills in a collaborative environment.
Mentor and train junior technical assessors/interviewers, providing guidance on best practices and interview techniques.
Ensure an exceptional candidate experience throughout the technical assessment process.

Required Skills and Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Linguistics, or a related field.
7+ years of experience in ML, NLP, and Data Modeling roles, with at least 5 years specializing in senior positions.
Deep understanding of machine learning algorithms, NLP techniques, and data modeling methodologies.
Proficiency with programming languages and tools such as Python, R, TensorFlow, PyTorch, Scikit-learn, Keras, NLTK, spaCy, and SQL.
Experience with text preprocessing, feature engineering, model selection, hyperparameter tuning, and word embeddings (e.g., Word2Vec, GloVe, BERT).
Familiarity with big data technologies and distributed computing (e.g., Hadoop, Spark).
Strong analytical skills and the ability to evaluate complex technical skills and problem-solving abilities.
Excellent communication and interpersonal skills, with a proven ability to provide constructive feedback and mentor others.
Extensive experience designing advanced technical assessments and conducting technical interviews.
Up-to-date knowledge of the latest trends and best practices in ML, NLP, and Data Modeling.
Ability to work independently and collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications:

Advanced certifications in ML, NLP, Data Modeling, or related fields.
Significant experience in a technical hiring or technical assessment role.
Leadership or managerial experience in an ML, NLP, or Data Modeling team, with a proven track record of mentoring and guiding team members.
Experience contributing to open-source projects in ML, NLP, or Data Modeling.
Familiarity with deployment and monitoring tools for ML and NLP applications (e.g., MLflow, Kubeflow).
Knowledge of performance optimization techniques for models and algorithms.

Mandatory Technical Key Skills:

Python, R, TensorFlow, PyTorch, Scikit-learn, Keras, NLTK, spaCy, SQL, machine learning algorithms, NLP techniques, data modeling, text preprocessing, feature engineering, model selection, hyperparameter tuning, Word2Vec, GloVe, BERT, Hadoop, Spark, Git, GitHub, GitLab, Jenkins, CI/CD, Agile, Scrum.

Required profile