Kforce has a client that is seeking a Senior Engineer in Sunrise, FL.
Duties Include:
Senior Engineer will develop and implement generative AI Applications using Java and Python and leading industry tools and frameworks
Collaborate with data scientists and engineers to design and optimize AI/ML solutions
Conduct research and stay up to date with the latest advancements in generative AI and AI/ML technologies
Analyze large-scale datasets to identify patterns, trends, and insights that can be leveraged for AI model development
Optimize and fine-tune AI models to improve performance, accuracy, and efficiency
Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions
Collaborate with software engineers to integrate AI models into existing servicing applications and ensure scalability and reliability
Conduct code reviews and provide technical guidance and mentorship to junior team members
Stay abreast of industry best practices and emerging trends in AI/ML, Java, and Python development
As a Senior Engineer, you will participate in cross-functional team meetings, brainstorming sessions, and knowledge sharing activities to foster innovation and continuous improvement
Cloud Technology Utilization: Leverage cloud platforms for ML and data engineering solutions
CI/CD Implementation: Implement and manage Continuous Integration and Continuous Deployment (CI/CD) processes
Banking Data Expertise: Utilize knowledge of banking data for relevant data engineering tasks
REQUIREMENTS:
Degree in Computer Science with 12+ years in experience
Proficient in Programming Languages: Python, Java, Scala, and others
Proficient in writing clean and efficient code to implement machine learning algorithms
Deep understanding of various machine learning algorithms such as regression, classification, clustering, and deep learning
Familiarity with popular ML frameworks such as TensorFlow, PyTorch, or scikit-learn
Big Data Platform Proficiency: Skilled in working with Big Data platforms and Big Data lakes
Cloud Knowledge: Proficient in cloud computing technologies
Banking Data Knowledge: Familiarity with banking data structures and requirements
Working in Agile Environments: Experience with Agile methodologies and practices
Architecture design and modeling: should possess strong skills in designing and modeling complex systems and architectures
Ability to create scalable, reliable, and efficient solutions that meet business requirements
Docker and Kubernetes Proficiency: Proficient with containerization and orchestration using Docker and Kubernetes
Continuous Learning: Commitment to staying updated with industry trends
Leadership and communication: Lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential
Ability to effectively communicate technical concepts to both technical and non-technical audiences
Should have excellent problem-solving and analytical skills
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless
and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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