Machine Learning (ML)
Python
Amazon Web Services (AWS)
Deep LearningKey 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:
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, IT, from IIT/NIT colleges strongly preferred
Shubham Vishwakarma
Full Stack Developer - Averlon
About Quanteon Solutions
About
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.
𝗧𝗵𝗲 𝗣𝗿𝗼𝗱𝘂𝗰𝘁-𝗢𝘄𝗻𝗲𝗿 𝗔𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲 We are not just a service vendor; we are product founders. Because we develop and maintain our own proprietary platforms—including ReachMyDr and Mainer—our engineering teams understand that software must prioritize operational flow, security, and long-term scalability over mere task completion. We bring this same builder’s mindset to every client engagement.
𝗖𝗼𝗿𝗲 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:
* 𝗚𝗹𝗼𝗯𝗮𝗹 𝗠𝗮𝗻𝗮𝗴𝗲𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: Full-lifecycle software development and infrastructure support via a seamless onshore/offshore integration model.
* 𝗛𝗶𝗴𝗵-𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Deep expertise in building secure, scalable systems for Healthcare, Federal, and Commercial enterprises.
* 𝗔𝗜 & 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆: 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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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon