AI/ML Engineer

Company Description:

Quanteon Solutions, established in 2015, transforms complex challenges into scalable, smart solutions for industries like Healthcare, FinTech, E-Commerce, Insurance, and Sports. Specializing in Custom Web & Mobile Application Development, Salesforce Implementation, Cloud Hosting & Migration, RPA, Data Analytics, Machine Learning, and Generative AI, we deliver secure and high-performing solutions tailored for modern businesses. With over 300 successful projects, we enable startups, enterprises, and brands to optimize workflows, scale operations, and enhance customer engagement. Our commitment to innovation, collaboration, and security ensures businesses stay ahead in a dynamic digital world. At Quanteon, we combine passion for technology with a focus on creating measurable impact.

JobDescription :

We are looking for 4-5 years of experienced AI/ML Engineer who can design, develop, and deploy scalable machine learning models and AI-driven solutions. The ideal candidate should have strong expertise in data processing, model building, and production deployment, along with solid programming and problem-solving skills.

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 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.

Preferred Qualifications :

- Bachelors or Masters degree in Computer Science, Data Science, AI, Machine Learning, or related fields.

- Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc.).

- Experience in LLM fine-tuning or generative AI is an added advantage.

Additional information :

- Work Mode : Remote

- Project Duration : 1-year contract (with the possibility of extension based on project requirements)

- Shift Timings : 2-11 PM IST

- Employment Type : Contract Position