AI Engineer

Appsierra Group; India; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Appsierra Group is seeking an experienced AI Engineer to design and implement machine learning models and end-to-end AI solutions for complex problems. You will work on building scalable systems that advance the frontier of artificial intelligence.

As part of the role, you will develop data pipelines, train models, and collaborate with cross-functional teams to translate business needs into technical specifications. Strong Python skills and experience with DL frameworks are essential for success.

Qualifications

• Minimum of 3 years of professional AI/ML experience.
• Strong proficiency in Python with deep learning frameworks (TensorFlow or PyTorch).
• Hands-on experience with Pandas, NumPy, scikit-learn and cloud platforms (AWS, Azure, GCP).
• Excellent problem-solving and ability to communicate with non-technical stakeholders.

Responsibilities

• Design, develop and deploy end-to-end AI solutions across multiple domains.
• Build scalable pipelines for data ingestion, feature engineering and model training.
• Collaborate with cross-functional teams to translate business requirements into technical specifications.
• Conduct rigorous model evaluation, hyper-parameter tuning and performance monitoring.
• Document models, code, and best practices to maintain reproducibility.

Skills

Python

TensorFlow

PyTorch

Pandas

NumPy

scikit-learn

AWS

Azure

GCP

Communication

Tools

Docker

Kubernetes

MLflow

Job description

We are seeking a talented AI Engineer to join our team. The successful candidate will design and implement machine learning models to solve complex problems. Join us to push the frontier of artificial intelligence.

Key responsibilities

• Design, develop and deploy end-to-end AI solutions across multiple domains.
• Build scalable pipelines for data ingestion, feature engineering and model training.
• Collaborate with cross-functional teams to translate business requirements into technical specifications.
• Conduct rigorous model evaluation, hyper-parameter tuning and performance monitoring.
• Document models, code, and best practices to maintain reproducibility.

Required qualifications

• Minimum of 3 years of professional experience in AI/ML engineering.
• Strong proficiency in Python and experience with deep learning frameworks such as TensorFlow or PyTorch.
• Hands-on experience with data processing libraries (Pandas, NumPy, scikit-learn) and cloud platforms (AWS, Azure, GCP).
• Excellent problem-solving skills and ability to communicate complex concepts to non-technical stakeholders.

Nice to have

• Experience with natural language processing (NLP) or computer vision projects.
• Knowledge of MLOps tools (Docker, Kubernetes, MLflow) for model deployment.