Ai Engineer

Role Overview : We are seeking a skilled Traditional AI Engineer with 5-7 years of experience to design, architect, and implement AI solutions independently. The role requires a strong foundation in data science and machine learning, with expertise in developing scalable AI models and algorithms tailored to industry-specific challenges.

Key Responsibilities :

Design and implement end-to-end AI / ML solutions across domains, including predictive analytics and optimization.

Build and deploy supervised, unsupervised, and reinforcement learning models.

Lead rapid prototyping, experimentation, and PoC development.

Manage full model lifecycle : data prep, feature engineering, training, evaluation, deployment, and monitoring.

Collaborate with data engineers, MLOps, and product teams to operationalize models.

Mentor junior engineers and uphold best practices in AI delivery.

Stay current with emerging AI tools, frameworks, and methodologies.

Requirements :

5–7 years of hands-on experience in AI and data science.

Proficient in Python, TensorFlow, PyTorch, or similar frameworks.

Strong solution architecture and independent delivery capabilities.

Excellent communication and mentoring skills.

Proven deployment experience in healthcare, BFSI, or retail / CPG.

Solid foundation in data modeling, feature engineering, and statistical analysis.

Bachelor’s / Master’s in Computer Science, Data Science, or related field.

Technical Skills & Tools :

Programming : Python (NumPy, Pandas, Scikit-learn), SQL

Frameworks : TensorFlow, PyTorch, Keras, XGBoost, LightGBM

Cloud & Data Platforms : AWS SageMaker, Azure ML, GCP Vertex AI, Databricks

MLOps : MLflow, Kubeflow, Docker, Kubernetes, Airflow

CI / CD & Version Control : GitHub, Jenkins, Azure DevOps

Other : Feature Engineering, Statistical Modeling, Explainability (SHAP, LIME), AI Ethics & Governance