Project Leader

Axtria - Ingenious Insights; Gurugram District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Axtria - Ingenious Insights is seeking a driven business analyst to tackle complex analytical problems in the Pharma domain. The role emphasizes end-to-end data pipelines, model deployment, and automation within cloud environments.

The candidate will work on design and implementation of MLOps pipelines, leveraging Python, SQL, and BI tools, with a focus on life sciences analytics and decision support for customers in the pharma sector.

Qualifications

• 3+ years of experience in the data science space with end-to-end automated ecosystems.
• Experience building data pipelines, deploying scalable models, orchestration and automation.

Responsibilities

• Design and implement cloud solutions and MLOps pipelines on AWS, Azure or GCP.
• Work with data scientists; understand tools used and support software development & testing.
• Apply advanced AI/ML algorithms and develop exposure to DevOps, APIs, and visualization layers.
• Knowledge of self-service analytics platforms is a plus; Excel knowledge is mandatory.

Skills

Data science experience

Strong analytical skills

Education

Bachelor of Engineering in Statistics

Tools

Kubeflow

MLFlow

DataRobot

Airflow

Docker

Kubernetes

Python

SQL

Job description

Position Summary

To be a driven business analyst who can work on complex Analytical problems and help the customer in better business decision making especially in the area of Pharma (domain).

To be a driven business analyst who can work on complex Analytical problems and help the customer in better business decision making especially in the area of Pharma (domain).

Job Responsibilities

• Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP)
• Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift.
• Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
• Ability to understand tools used by data scientist and experience with software development and test automation.
• Good understanding of advanced AI/ML algorithms & their applications
• Applications and Digital Automation Solutions, Low Code /No Code and Automation Platforms, designing API's and exposure to DevOps, React/Angular, containers, building visualization layer.
• Knowledge of self-service analytics platforms such as Dataiku/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Familiarity with Life Sciences is a plus

Education

Bachelor of Engineering in Statistics

Work Experience

Must have Skills

• 3+ years of experience in the data science space – preferably with the end to end automated ecosystem including, but not limited to, building data pipelines, developing & deploying scalable models, orchestration, scheduling, automation, ML operations

Skills that give you an edge

• Strong analytical skills to solve and model complex business requirements are a plus. With lifesciences or pharma background.

Behavioural Competencies

• Teamwork & Leadership
• Motivation to Learn and Grow
• Ownership
• Cultural Fit
• Project Management
• Communication

Technical Competencies

• Python
• R
• SQL
• EXCEL
• MMx
• Forecasting
• Machine Learning
• Pharma Commercial Know How
• HEOR EPI and Economic Analysis
• HEOR Simulation Analysis
• Patient Data Analytics Know How
• Dataiku
• KNIME
• Others