Quanteon Solutions

Key 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

𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬:

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

𝐌𝐮𝐬𝐭-𝐇𝐚𝐯𝐞 𝐒𝐤𝐢𝐥𝐥𝐬:

Hands-on experience with AWS – 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

𝐌𝐚𝐧𝐝𝐚𝐭𝐨𝐫𝐲 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧:

𝐀𝐖𝐒 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 – 𝐀𝐬𝐬𝐨𝐜𝐢𝐚𝐭𝐞 or relevant AWS certificate

Education Qualification:

B.Tech/M.Tech from CSE/IT/AI/ML/ECE

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