Call Quest Solution

About the Company

At Call Quest Solutions, we believe great companies are built by great people. Since our founding, we’ve become one of the most trusted staffing and recruitment agencies in the U.S., serving businesses of all sizes—from high-growth startups to established Fortune 500 enterprises. Our mission is simple: connect exceptional talent with meaningful opportunities. We specialize in Direct Hire, Contract & Temporary Staffing, and Executive Search, delivering workforce solutions tailored to each client’s unique needs. With a national footprint and deep industry expertise, we help organizations scale, innovate, and thrive—while guiding professionals toward career paths where they can excel. What We Offer Direct Hire Placement: Matching top talent with long-term roles. Temporary & Contract Staffing: Agile solutions for seasonal and project-based needs. Executive Search: Recruiting leadership that transforms organizations. Industries We Serve Healthcare • Technology • Finance • Professional Services • Manufacturing • and more. Why Choose Us 95% Placement Success Rate through rigorous candidate screening. Nationwide Reach with access to a broad and diverse talent network. Industry-Specific Expertise ensuring quality matches every time. People-First Approach focused on building careers, not just filling roles. At Call Quest Solutions, we go beyond staffing—we create partnerships that drive long-term success. Whether you’re an employer seeking the right talent or a professional ready for your next opportunity, we’re here to help you achieve your goals.

Listed Jobs

Company Name

Call Quest Solution

Job Title

Machine Learning Engineer

Job Description

**Job title:** Machine Learning Engineer **Role Summary:** Mid‑level Engineer responsible for developing, deploying, and maintaining machine learning models. Works on integrating models into production via REST APIs and collaborates with cloud infrastructure for scalable deployment. **Expectations:** * 5–12 years of professional experience in machine learning engineering. * Proven track record of taking models from prototyping to live deployment. * Strong familiarity with cloud-based ML services (AWS SageMaker or Azure AI). **Key Responsibilities:** 1. Design, build, and optimize predictive models, including NLP and deep learning architectures. 2. Package models as RESTful services, ensuring reliability, latency, and security. 3. Deploy and manage models on cloud ML platforms (SageMaker, Azure AI). 4. Collaborate with data engineering and application teams to integrate models into production workflows. 5. Monitor model performance post‑deployment, handling retraining and rollback as needed. **Required Skills:** * Python (pandas, scikit‑learn, PyTorch/TensorFlow). * API development (Flask, FastAPI, or similar). * Experience with cloud ML deployment (AWS SageMaker, Azure ML). * NLP proficiency and experience with deep learning frameworks. * Version control (Git), CI/CD pipelines, and containerization (Docker). * Strong problem‑solving and debugging abilities. **Required Education & Certifications:** * Bachelor’s degree in Computer Science, Data Science, Statistics, or related field. * Optional certifications: AWS Certified Machine Learning – Specialty, Azure AI Engineer Associate, or similar.

New york, United states

On site

Mid level

13-01-2026

Company Name

Call Quest Solution

Job Title

Software Engineer

Job Description

**Job Title:** Senior Java Developer **Role Summary:** Senior Java Developer responsible for designing, developing, and maintaining large‑scale Java enterprise applications. Leads architecture discussions, implements RESTful services, and ensures high code quality, performance, and security in a fast‑paced environment. **Expectations:** - Oversee end‑to‑end development of Java‑based solutions and RESTful APIs. - Engage with cross‑functional teams for requirement capture and quality delivery. - Mentor junior engineers and champion engineering best practices. **Key Responsibilities:** 1. Design, develop, and maintain scalable Java enterprise applications. 2. Build, support, and document RESTful web services and backend services. 3. Collaborate with product, design, and operations teams to translate requirements into robust solutions. 4. Conduct architecture reviews, design reviews, and code reviews. 5. Troubleshoot, debug, and optimize application performance and scalability. 6. Enforce coding standards, security practices, and performance benchmarks. 7. Resolve production incidents, perform root‑cause analysis, and implement preventive measures. 8. Contribute to CI/CD pipeline design and automated deployment processes. 9. Provide technical mentorship and promote engineering excellence across the team. **Required Skills:** - 8+ years of Java development experience (Core Java, Java 8+). - Deep knowledge of Spring / Spring Boot framework. - Proven experience building and consuming RESTful APIs. - Proficiency with relational databases (Oracle, SQL Server, MySQL, PostgreSQL). - Strong understanding of object‑oriented design, design patterns, and microservices architecture. - Experience with messaging systems (Kafka, JMS, RabbitMQ). - Familiarity with CI/CD tools and Git version control. - Excellent debugging, problem‑solving, and communication skills. **Preferred Skills:** - Cloud platform experience (AWS, Azure, GCP). - Containerization (Docker, Kubernetes). - Industry domain exposure (financial services, energy, healthcare, or enterprise). - Expertise in performance tuning and monitoring tools. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or related technical discipline. - Professional certifications (e.g., Oracle Certified Professional, AWS Certified Developer) are advantageous but not mandatory.

Houston, United states

Hybrid

Senior

24-01-2026