Sr. Manager, AI Engineer
- Pfizer
- 7 - 12 years
- Mumbai
- 2 days ago
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Job Description
As a Sr. Manager, AI Engineer, you will be a hands-on technical expert responsible for architecting and delivering user-facing AI features, full-stack application components, and data-driven visualizations that empower commercial decision-makers. You will work within a cross-functional product team partnering with data scientists, product owners, and local commercial stakeholders to iteratively develop, test, and ship AI-powered capabilities. This role emphasizes product delivery, user experience, and engineering quality. You translate business needs into working software that users love.
ROLE RESPONSIBILITIES - AI Product Feature Development: Design and develop end-to-end AI-powered features for DecisionIQ: from data ingestion and model integration through API development and frontend delivery
- Build and maintain data ETL pipelines using Python and SQL; integrate ML model outputs into production application workflows
- Develop server-side logic using Python and back-end technologies; implement RESTful APIs to connect AI components with the broader application
- Create responsive, visually appealing web interfaces and interactive data applications using modern frontend frameworks (React, Vue) and visualization libraries (Dash, Streamlit, Tableau, Power BI)
- Synthesize complex data and model outputs into intuitive visualizations that non-technical commercial users can act on confidently
- Partner with product owners, data scientists, and local commercial stakeholders to gather user requirements and translate them into technical specifications
- Drive iterative development with rapid prototyping, user feedback loops, and continuous improvement of DecisionIQ capabilities
- Communicate complex technical concepts and insights to both technical and non-technical stakeholders to inform product decisions
- Collaborate with cross-functional teams to ensure successful integration of reusable AI components into production solutions
- Enforce coding standards, best practices, and thorough testing (unit, integration, E2E) to ensure reliability and maintainability
- Implement and maintain CI/CD pipelines for smooth, frequent software delivery
- Implement logging and monitoring tools to gain insights into system behavior; proactively identify and resolve production issues
- Perform root cause analysis to diagnose and fix production errors; maintain high system availability
- Contribute to a highly effective engineering team; actively help colleagues grow through mentoring, code reviews, and knowledge sharing
- Train and guide junior developers on AI, data science, and software development best practices
- Stay up-to-date with emerging technologies and evaluate their applicability to DecisionIQ
- Act as a subject matter expert for AI solution engineering on cross-functional teams
This role covers a broad spectrum of skills and we encourage you to apply even if you meet partially.
BASIC QUALIFICATIONS - Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field
- 7+ years of experience in software engineering, data science, or related technical fields
- Proven experience as a Full Stack Engineer or AI Solution Engineer with a strong portfolio of shipped products
- Solid experience in Python and relevant ML libraries/frameworks (scikit-learn, TensorFlow, PyTorch)
- Solid understanding of back-end technologies, databases (SQL and NoSQL), and RESTful APIs
- Good knowledge of data manipulation, preprocessing, feature engineering, and ETL pipeline development
- Good understanding of statistical modeling, machine learning algorithms, and data mining techniques
- Experience building interactive web applications with JavaScript frameworks (React, Vue, or AngularJS)
- Experience building dashboards and data applications (Tableau, Power BI, Dash, Streamlit)
- Familiarity with cloud-based analytics ecosystems (AWS, Snowflake)
- Proficiency in Git for version control
- Hands-on experience working in Agile teams, processes, and practices
Job Classification
Industry: Pharmaceutical & Life SciencesFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Engineering ManagerEmployement Type: Full timeContact Details:
Company: PfizerLocation(s): Mumbai+ View Contact
Keyskills: Computer science data science Coding Javascript HTML Data mining digital transformation Monitoring SQL Python
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