Qureos Mentor

Finaira

<div>
 
 The Principal Data Scientist will provide strategic technical leadership and direction for data science initiatives across the organization, particularly within the financial sector. This role is responsible for driving innovation, setting technical standards, mentoring a team of data scientists, and collaborating with senior stakeholders to define and deliver high-impact AI and machine learning solutions that align with business strategy and drive significant value.
 
 
 
 
 
 
 
 
 
 The difference you will make
 
 
 <ul>
 <li>
 Define the technical data science strategy and roadmap
 </li>
 <li>
 Lead the research and development of cutting-edge AI solutions
 </li>
 <li>
 Evaluate and implement new data science technologies and platforms
 </li>
 <li>
 Provide technical leadership and guidance to the data science team
 </li>
 <li>
 Ensure the scalability and reliability of data science infrastructure
 </li>
 </ul>
 
 
 
 
 Requirements:
 
 
 
 Education:
 
 
 <ul>
 <li>
 Master&rsquo;s degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field with an exceptional academic record.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 8+ years of progressive experience in data science, with more than 2 years spent leading and successfully delivering complex AI/ML projects with demonstrable business impact.
 </li>
 <li>
 Extensive and deep experience in the financial services industry, with a comprehensive understanding of financial data, regulations, and business challenges.
 </li>
 <li>
 Proven experience in leading and mentoring data science teams.
 </li>
 <li>
 A strong portfolio showcasing the successful application of AI/ML to solve significant financial problems (e.g., transformative fraud prevention systems, advanced risk management platforms, high-impact algorithmic trading strategies, game-changing customer analytics solutions).
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Expert-level mastery in multiple programming languages relevant to data science (e.g., Python, R, Scala, Java) and their associated libraries and frameworks.
 </li>
 <li>
 Deep and comprehensive expertise across a wide range of machine learning frameworks, including advanced knowledge of deep learning architectures and specialized tools.
 </li>
 <li>
 Exceptional understanding of both foundational and cutting-edge statistical concepts and ML algorithms, including deep learning architecture and specialized tools.
 </li>
 <li>
 Deep understanding of Data and AI governance frameworks and requirements.
 </li>
 <li>
 Advanced mathematical skills, demonstrating a strong theoretical understanding and practical application to complex financial problems.
 </li>
 <li>
 Expert-level proficiency in SQL and a variety of database management systems (both relational and NoSQL), with the ability to design and optimize data storage and retrieval for large-scale AI/ML applications.
 </li>
 <li>
 Extensive experience with advanced data visualization tools and the ability to communicate complex insights to executive audiences through compelling visuals and narratives.
 </li>
 <li>
 Deep and practical experience with cloud computing platforms (AWS, Azure, GCP) and their comprehensive suite of AI/ML services, including architecting and deploying scalable solutions.
 </li>
 <li>
 Proven expertise in designing and working with large, complex data sets and big data technologies (Hadoop, Spark, etc.), including the ability to optimize data processing workflows for performance and scalability.
 </li>
 <li>
 Mastery of various distributed databases (Hive, Impala, Redis, etc.) and a proven ability to design and implement efficient data storage and access patterns for AI/ML workloads.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset.
 </li>
 </ul>
 
 
 
 
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
 
</div>

Principal Data Scientist

<div>
 
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineers, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives. Focus: End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship.
 
 
 
 
 
 
 
 
 The difference you will make
 
 <ul>
 <li>
 Provide technical leadership, guidance, and mentorship to a team of AI Engineers
 </li>
 <li>
 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production
 </li>
 <li>
 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans
 </li>
 <li>
 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing
 </li>
 <li>
 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments
 </li>
 <li>
 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation
 </li>
 <li>
 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency
 </li>
 <li>
 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions
 </li>
 <li>
 Hands-on contribution to critical code components, architectural design, and complex problem-solving
 </li>
 </ul>
 
 
 
 
 What you will bring to the role:
 
 
 Education: Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred.
 
 
 
 
 
 Experience: 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to end.
 
 
 Technical Skills:
 
 <ul>
 <li>
 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).
 </li>
 <li>
 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving.
 </li>
 <li>
 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes).
 </li>
 <li>
 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures. o Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services.
 </li>
 <li>
 Excellent understanding of data engineering principles, data governance, and database technologies.
 </li>
 <li>
 Ability to evaluate and make sound technical decisions on complex trade-offs.
 </li>
 </ul>
 
 
 
 
 Soft Skills:
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset.
 </li>
 </ul>
 
 
 
 
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
 
</div>

Principal AI Engineer

<div>
 
 The Senior Data Scientist will lead the design, development, and deployment of complex AI and machine learning models to solve strategic business problems within the financial sector. This role requires deep expertise in data science methodologies, advanced proficiency in relevant tools and technologies, and the ability to independently translate complex business needs into scalable and impactful analytical solutions. The Senior Data Scientist will mentor junior team members, contribute to technical strategy, and communicate findings to executive stakeholders.
 
 
 
 
 
 Focus: Project leadership, strategic analysis, and advanced model development.
 
 
 
 The difference you will make:
 
 
 <ul>
 <li>
 Lead end-to-end data science projects from conception to deployment.
 </li>
 <li>
 Develop and implement advanced machine learning models and algorithms in banking applications.
 </li>
 <li>
 Conduct strategic data analysis to inform business decisions and identify new opportunities.
 </li>
 <li>
 Communicate complex technical findings to senior management and stakeholders.
 </li>
 <li>
 Drive innovation in data science methodologies and tools.
 </li>
 </ul>
 
 
 
 
 
 Education
 
 : Bachelor&rsquo;s degree in data science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with an outstanding academic record; Master&rsquo;s or Ph.D. preferred.
 
 
 
 
 
 
 Experience
 
 :
 
 <ul>
 <li>
 5+ years of progressive experience as a Data Scientist, with a strong and demonstrable track record of independently leading and delivering successful, complex data-driven solutions with significant business impact.
 </li>
 <li>
 Extensive experience in the financial services industry, with a deep understanding of financial data and business processes.
 </li>
 <li>
 Significant experience with specific AI applications in finance (e.g., fraud detection, risk management, algorithmic trading, customer analytics) and a proven ability to drive tangible results.
 </li>
 </ul>
 
 
 
 
 
 Technical skills:
 
 
 <ul>
 <li>
 Mastery in at least two of the following languages: Python, Java, Scala, and/or R, with expertise in relevant libraries and frameworks.
 </li>
 <li>
 Deep expertise in a wide range of machine learning frameworks (TensorFlow, PyTorch, scikit-learn, and potentially more specialized libraries).
 </li>
 <li>
 Comprehensive and in-depth understanding of foundational and advanced statistics concepts and ML algorithms, including deep learning architectures and specialized techniques.
 </li>
 <li>
 Familiarity with generative AI tools (e.g., Hugging Face, LangChain)
 </li>
 <li>
 Advanced mathematical skills, including a strong theoretical understanding and practical application of relevant mathematical concepts.
 </li>
 <li>
 Expert-level proficiency in SQL and various database management systems (e.g., SQL Server, PostgreSQL, NoSQL databases).
 </li>
 <li>
 Extensive experience with advanced data visualization tools (e.g., Tableau, Power BI) and the ability to create impactful and insightful dashboards.
 </li>
 <li>
 Significant experience with cloud computing platforms (AWS, Azure, GCP) and their AI/ML services.
 </li>
 <li>
 Proven experience in architecting and working on large, complex data sets, with deep expertise in Hadoop, Spark, and related big data technologies.
 </li>
 <li>
 Expertise with various distributed databases such as Hive, Impala, Redis, etc., and the ability to design and optimize data storage solutions.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Exceptional problem-solving and analytical skills with a proven ability to lead complex investigations independently.
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to effectively communicate complex technical concepts to executive-level technical and non-technical audiences.
 </li>
 <li>
 Strong strategic thinking and a disruptive mindset to develop innovative data solutions.
 </li>
 <li>
 Deep business acumen and a proven ability to understand and translate strategic business needs into impactful analytical initiatives.
 </li>
 <li>
 Strong customer-centric approach with a focus on delivering tangible business value.
 </li>
 <li>
 Demonstrated leadership qualities and the ability to mentor junior team members effectively.
 </li>
 <li>
 Highly disciplined and reliable, with a strong professional track record developed through experience in structured, multinational work environments.
 </li>
 <li>
 Exceptional ability to interact effectively with and influence people from diverse nationalities and cultural backgrounds.
 </li>
 <li>
 Excellent command of English language, both verbal and written, with the ability to articulate complex ideas clearly and persuasively.
 </li>
 <li>
 Proactive self-learner with a strong positive attitude, a deep passion for continuous improvement, and the ability to independently research and adopt new technologies.
 </li>
 </ul>
 
 
 
 
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
 
</div>

Senior Data Scientist

<div>
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives.
 
 
 
 Focus:
 
 End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Provide technical leadership, guidance, and mentorship to a team of AI Engineer
 </li>
 <li>
 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production
 </li>
 <li>
 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans
 </li>
 <li>
 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing
 </li>
 <li>
 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments
 </li>
 <li>
 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation
 </li>
 <li>
 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency
 </li>
 <li>
 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions
 </li>
 <li>
 Hands-on contribution to critical code components, architectural design, and complex problem-solving
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What you will bring to the role:
 
 
 
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 <ul>
 <li>
 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras)
 </li>
 <li>
 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving
 </li>
 <li>
 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes)
 </li>
 <li>
 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures
 </li>
 <li>
 Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services
 </li>
 <li>
 Excellent understanding of data engineering principles, data governance, and database technologies
 </li>
 <li>
 Ability to evaluate and make sound technical decisions on complex trade-offs
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership
 </li>
 <li>
 Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives
 </li>
 <li>
 Strong mentoring and coaching skills, with a passion for developing the talents of junior team members
 </li>
 <li>
 Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Join Finaira and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Finaira

About Company

Principal Data Scientist

Principal AI Engineer

Senior Data Scientist

Principal AI Engineer