Quanteon Solutions
https://quanteonsolutions.comAbout
Quanteon Solutions is a technology firm specializing in the intersection of US-based strategic oversight and high-caliber global delivery. Founded and led by a veteran CTO and Chief Architect, we provide the scalability of offshore development with the technical precision and accountability of a domestic partner.
๐ง๐ต๐ฒ ๐ฃ๐ฟ๐ผ๐ฑ๐๐ฐ๐-๐ข๐๐ป๐ฒ๐ฟ ๐๐ฑ๐๐ฎ๐ป๐๐ฎ๐ด๐ฒ We are not just a service vendor; we are product founders. Because we develop and maintain our own proprietary platformsโincluding ReachMyDr and Mainerโour engineering teams understand that software must prioritize operational flow, security, and long-term scalability over mere task completion. We bring this same builderโs mindset to every client engagement.
๐๐ผ๐ฟ๐ฒ ๐๐ฎ๐ฝ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐:
* ๐๐น๐ผ๐ฏ๐ฎ๐น ๐ ๐ฎ๐ป๐ฎ๐ด๐ฒ๐ฑ ๐ฆ๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ๐: Full-lifecycle software development and infrastructure support via a seamless onshore/offshore integration model.
* ๐๐ถ๐ด๐ต-๐๐ผ๐บ๐ฝ๐น๐ถ๐ฎ๐ป๐ฐ๐ฒ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด: Deep expertise in building secure, scalable systems for Healthcare, Federal, and Commercial enterprises.
* ๐๐ & ๐ข๐ฝ๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป๐ฎ๐น ๐๐ณ๐ณ๐ถ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐: Leveraging focused AI models (such as MAINER) to eliminate manual bottlenecks in complex business transitions.
At Quanteon, we focus on the transitions where efficiency is typically lost, ensuring that technology serves as a driver for growth rather than a source of friction.
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Machine Learning (ML)
PythonKey Responsibilities:
- Develop and deploy machine learning, deep learning, and NLP models for various business use cases.
- Build end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and production deployment.
- Optimize model performance and ensure scalability in production environments.
- Work closely with data scientists, product teams, and engineers to translate business requirements into AI solutions.
- Conduct data analysis to identify trends and insights.
- Implement MLOps practices for versioning, monitoring, and automating ML workflows.
- Research and evaluate new AI/ML techniques, tools, and frameworks.
- Document system architecture, model design, and development processes.
Required Skills:
- Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
- Hands-on experience in building and deploying, finetuning ML/DL models in production.
- Good understanding of machine learning algorithms, neural networks, NLP, and computer vision.
- Experience with REST APIs, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
- Working knowledge of MLOps tools such as MLflow, Airflow, DVC, or Kubeflow.
- Familiarity with data pipelines and big data technologies (Spark, Hadoop) is a plus.
- Strong analytical skills and ability to work with large datasets.
- Excellent communication and problem-solving abilities.
- Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc.).
- Experience in LLM fine-tuning or Generative AI, Voice AI, is an added advantage.
Educational Qualification:
- Bachelorโs or Masterโs degree in Computer Science, Data Science, AI, Machine Learning, IT, from IIT/NIT colleges strongly preferred
Amazon Web Services (AWS)๐๐๐ฒ ๐๐๐ฌ๐ฉ๐จ๐ง๐ฌ๐ข๐๐ข๐ฅ๐ข๐ญ๐ข๐๐ฌ:
Develop, deploy and maintain cloud applications on AWS
Manage production environments, deployments, monitoring, and issue resolution
Build and maintain CI/CD pipelines and automate infrastructure
Support cloud operations, performance optimization, and incident management
Collaborate across teams to ensure reliable and secure delivery
๐๐ฎ๐ฌ๐ญ-๐๐๐ฏ๐ ๐๐ค๐ข๐ฅ๐ฅ๐ฌ:
Hands-on experience with AWS โ EC2, S3, VPC, RDS, Lambda, IAM, CloudWatch
Strong experience in development + production operations
Experience with Linux and Shell/Python scripting
Infrastructure automation using Terraform / CloudFormation
CI/CD experience (Jenkins / GitHub Actions / GitLab CI)
Experience in cloud security, networking, monitoring, and troubleshooting
Experience with AWS AI Services(Amazon Bedrock, SageMaker, Rekognition, Textract, Comprehend, etc.)
Hands-on exposure to OpenAI tools/APIs and AI-assisted development workflows
Experience using AI tools for design, development, automation, and implementation
Exposure to Docker / Kubernetes is preferred
๐๐๐ง๐๐๐ญ๐จ๐ซ๐ฒ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง:
๐๐๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐ ๐๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง๐ฌ ๐๐ซ๐๐ก๐ข๐ญ๐๐๐ญ โ ๐๐ฌ๐ฌ๐จ๐๐ข๐๐ญ๐ or relevant AWS certificate
Education Qualification:
B.Tech/M.Tech from CSE/IT/AI/ML/ECE
React.js
NodeJS (Node.js)
PostgreSQLAmazon Web Services (AWS)Key Requirements / Skills
- 6+ years of overall experience in software development with strong expertise in building scalable web applications.
- 2+ years of experience as a Technical Lead, managing development teams and driving project delivery.
- Strong technical decision-making ability, including architecture design, technology selection, and implementation of best practices.
- Front-end expertise: Strong experience in React, JavaScript, TypeScript, and building responsive and user-friendly UI/UX.
- Back-end development: Hands-on experience with Node.js, RESTful APIs, API design, and server-side architecture.
- Gen AI Expertise: Experience in building RAG & LLM Systems, implementing AI/ML models or integrating AI-based solutions to solve business problems.
- Cloud & DevOps exposure: Experience with AWS/Azure, understanding of CI/CD pipelines, and cloud-based deployments.
- Code quality & best practices: Experience in code reviews, Git version control, and ensuring maintainable and secure code.
- Team leadership: Ability to mentor developers, guide technical discussions, and collaborate across teams.
- Strong communication skills to effectively interact with technical and non-technical stakeholders.
- Experience working in high-compliance environments such as healthcare systems is a plus.
Education Qualifications:
- B.Tech/M.Tech in CSE/IT/AI/ML from a good university
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