AI Engineer(Python)

Must Have:

• 4+ years of experience in solution management and service delivery in Artificial Intelligence and Digital Transformation.
• Experience in deployment of ML models.
• Excellent at Python programming with Django experience.
• Proficiency with frameworks such as TensorFlow and basic libraries for machine learning such as scikit-learn and pandas
• Experience in using and having an in-depth understanding of AI/ML Algorithms.
• Developing solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform
• Experience in Application programming interface (API) and integration with enterprise systems
• Good at building data pipelines while data ingestion from multiple sources (static or streaming)

Good to Have:

• Experience in Monitoring/analytics tools like Elasticsearch (ELK), Dynatrace, AppDynamics
• Knowledge of how Anomaly detection works
• Experience/Knowledge of IT operations and infrastructure
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.

Experience with all parts of Data engineering (Data Mining, Data Processing, Data cleaning, Data Modelling etc)

Responsibilities:

• Should be a go-getter who understands the broader objective and comes up with ideas and execution plans.
• Should be a quick learner be it for a technique or a tool, depending on the business need.
• Understand the need and methods for feature engineering.
• Applied knowledge of statistics and quantitative techniques of data analysis.
• Building ML pipelines that can handle retraining and scalability.
• Understanding of generating insights from structured or unstructured data.
• Can combine models through ensemble modelling whenever needed.
• Present information using data visualization techniques.
• Communicate the analytical findings in a logical manner.

Collaborate with engineering and product development teams.