Engineering Matching Specialist
About Andela:
Andela Talent Cloud is the industry’s only unified solution to manage the complete global talent lifecycle. We help enterprises source, qualify, hire, manage, and pay global technical talent in one integrated platform.
Market leaders partner with Andela to help rewrite their workforce strategies to include global, remote talent from over 175 countries to scale their teams and deliver projects faster.
Andela Talent Cloud provides an intelligent, AI-driven platform that helps enterprises build remote-fluent teams from emerging geographies such as Africa and Latin America. Powerful AI-matching algorithms learn from thousands of data points in the hiring journey to pinpoint the best engineers up to 70% faster at 30 to 50% less cost than other hiring approaches. Andela caters to specialized disciplines such as Application Engineering, Artificial Intelligence, Cloud, and Data & Analytics, with over 30 specific use cases. The world’s best brands trust Andela, including GitHub, Mastercard Foundry, ViacomCBS, and Mindshare.
About the role:
We are seeking a Machine Learning, Artificial Intelligence, Data Science, and Data Engineering Specialist Matcher. This role focuses on identifying and connecting exceptional talent in the fields of machine learning, AI, data science, and data engineering with the perfect clients. Our team excels at understanding the specific needs of our clients in these high-demand areas, tailoring recruitment strategies to find the best match. You'll leverage your knowledge of advanced technologies and industry experience to attract top talent, ensuring a seamless fit for both the candidate and the client.
This role offers an exciting opportunity to make a meaningful impact by matching top-tier talent with cutting-edge roles in the fast-evolving fields of AI, machine learning, and data science. If you're passionate about tech recruitment and enjoy staying at the forefront of innovation, we'd love to hear from you!
Matching is about finding exceptional talent and connecting them with the perfect client. Our team of experts can quickly identify the specific requirements of our clients, and we work closely with them to develop a customized recruitment strategy that meets their unique needs. We take the time to understand the specific skills and attributes required for each role and use our industry knowledge and experience to identify and attract the best talent.
Responsibilities:
Review and analyze resumes and applications to identify highly qualified candidates in machine learning, AI, data science, and data engineering.
Conduct technical interviews, assessing candidates' proficiency in areas such as machine learning models, AI frameworks, data analysis techniques, and big data engineering tools.
Coordinate and schedule interviews between candidates and hiring managers, ensuring alignment with the technical requirements of each role.
Provide detailed feedback and recommendations to hiring managers regarding the technical and cultural fit of candidates.
Build and maintain a pipeline of top-tier talent in ML, AI, data science, and data engineering for current and future job openings.
Stay current with industry trends, best practices, and technological advancements in AI, data science, and engineering recruitment.
Collaborate closely with clients to understand their technical and strategic needs, helping them build and scale their data and AI-driven teams.
Act as a consultant to clients, providing advice on talent acquisition strategies to meet their project and business objectives.
Qualifications:
Degree or equivalent qualification in an IT-related field, such as Computer Science, Artificial Intelligence, Data Science, or Software Engineering.
Proven experience working with sales teams or in a sales-facing role, showcasing the ability to collaborate with sales professionals on talent matching for highly technical roles.
Strong technical knowledge of machine learning algorithms, AI frameworks (TensorFlow, PyTorch, etc.), data science languages (Python, R), and big data tools (Hadoop, Spark, etc.).
Experience leading recruitment efforts for highly technical teams, including managing remote interviews, providing technical feedback, and ensuring team fit.
Ability to work remotely with strong communication and collaboration skills across various locations and time zones.
Previous experience working in fast-paced environments such as startups or tech consultancies, with a proven ability to adapt to evolving business needs.
Experience working in multicultural settings and collaborating with diverse teams, ensuring inclusive hiring practices.
Familiarity with collaborating with product and engineering teams to gather hiring requirements, provide feedback, and ensure alignment with business goals.
Good understanding of enterprise companies’ cultures, and experience sourcing talent for large-scale technical projects in machine learning and AI domains.
#LI-DS
#LI-REMOTE
Benefits
Fully Remote work culture - we hire globally and all of our roles are fully remote!
Bring your own device stipend - buy your own laptop with funds from Andela
Flexible working hours
Equity (as a part of the compensation package)
Healthcare, 401k / pension (US only)
Generous Paid Time Off, Parental Leave, Compassionate Leave
And more to come! We're on a journey to reimagine global benefits at Andela.
At Andela, we outcompete through diversity. We know that our strengths lie in the multiplicity of talents, perspectives, backgrounds & orientations resident in our community and we take pride in that. Andela is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices. Andela provides equal employment opportunities and workplace to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, HIV/AIDS or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. This commitment applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Our policies expressly prohibit any form of harassment and/or discrimination as stated above. Andela is home for all, come as you are.
About the job
Apply for this position
Engineering Matching Specialist
About Andela:
Andela Talent Cloud is the industry’s only unified solution to manage the complete global talent lifecycle. We help enterprises source, qualify, hire, manage, and pay global technical talent in one integrated platform.
Market leaders partner with Andela to help rewrite their workforce strategies to include global, remote talent from over 175 countries to scale their teams and deliver projects faster.
Andela Talent Cloud provides an intelligent, AI-driven platform that helps enterprises build remote-fluent teams from emerging geographies such as Africa and Latin America. Powerful AI-matching algorithms learn from thousands of data points in the hiring journey to pinpoint the best engineers up to 70% faster at 30 to 50% less cost than other hiring approaches. Andela caters to specialized disciplines such as Application Engineering, Artificial Intelligence, Cloud, and Data & Analytics, with over 30 specific use cases. The world’s best brands trust Andela, including GitHub, Mastercard Foundry, ViacomCBS, and Mindshare.
About the role:
We are seeking a Machine Learning, Artificial Intelligence, Data Science, and Data Engineering Specialist Matcher. This role focuses on identifying and connecting exceptional talent in the fields of machine learning, AI, data science, and data engineering with the perfect clients. Our team excels at understanding the specific needs of our clients in these high-demand areas, tailoring recruitment strategies to find the best match. You'll leverage your knowledge of advanced technologies and industry experience to attract top talent, ensuring a seamless fit for both the candidate and the client.
This role offers an exciting opportunity to make a meaningful impact by matching top-tier talent with cutting-edge roles in the fast-evolving fields of AI, machine learning, and data science. If you're passionate about tech recruitment and enjoy staying at the forefront of innovation, we'd love to hear from you!
Matching is about finding exceptional talent and connecting them with the perfect client. Our team of experts can quickly identify the specific requirements of our clients, and we work closely with them to develop a customized recruitment strategy that meets their unique needs. We take the time to understand the specific skills and attributes required for each role and use our industry knowledge and experience to identify and attract the best talent.
Responsibilities:
Review and analyze resumes and applications to identify highly qualified candidates in machine learning, AI, data science, and data engineering.
Conduct technical interviews, assessing candidates' proficiency in areas such as machine learning models, AI frameworks, data analysis techniques, and big data engineering tools.
Coordinate and schedule interviews between candidates and hiring managers, ensuring alignment with the technical requirements of each role.
Provide detailed feedback and recommendations to hiring managers regarding the technical and cultural fit of candidates.
Build and maintain a pipeline of top-tier talent in ML, AI, data science, and data engineering for current and future job openings.
Stay current with industry trends, best practices, and technological advancements in AI, data science, and engineering recruitment.
Collaborate closely with clients to understand their technical and strategic needs, helping them build and scale their data and AI-driven teams.
Act as a consultant to clients, providing advice on talent acquisition strategies to meet their project and business objectives.
Qualifications:
Degree or equivalent qualification in an IT-related field, such as Computer Science, Artificial Intelligence, Data Science, or Software Engineering.
Proven experience working with sales teams or in a sales-facing role, showcasing the ability to collaborate with sales professionals on talent matching for highly technical roles.
Strong technical knowledge of machine learning algorithms, AI frameworks (TensorFlow, PyTorch, etc.), data science languages (Python, R), and big data tools (Hadoop, Spark, etc.).
Experience leading recruitment efforts for highly technical teams, including managing remote interviews, providing technical feedback, and ensuring team fit.
Ability to work remotely with strong communication and collaboration skills across various locations and time zones.
Previous experience working in fast-paced environments such as startups or tech consultancies, with a proven ability to adapt to evolving business needs.
Experience working in multicultural settings and collaborating with diverse teams, ensuring inclusive hiring practices.
Familiarity with collaborating with product and engineering teams to gather hiring requirements, provide feedback, and ensure alignment with business goals.
Good understanding of enterprise companies’ cultures, and experience sourcing talent for large-scale technical projects in machine learning and AI domains.
#LI-DS
#LI-REMOTE
Benefits
Fully Remote work culture - we hire globally and all of our roles are fully remote!
Bring your own device stipend - buy your own laptop with funds from Andela
Flexible working hours
Equity (as a part of the compensation package)
Healthcare, 401k / pension (US only)
Generous Paid Time Off, Parental Leave, Compassionate Leave
And more to come! We're on a journey to reimagine global benefits at Andela.
At Andela, we outcompete through diversity. We know that our strengths lie in the multiplicity of talents, perspectives, backgrounds & orientations resident in our community and we take pride in that. Andela is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices. Andela provides equal employment opportunities and workplace to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, HIV/AIDS or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. This commitment applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Our policies expressly prohibit any form of harassment and/or discrimination as stated above. Andela is home for all, come as you are.