AI Developer 1
AmerisourceBergen (company site, opens in a new tab)Fresher JobsPuneOn-siteDirect career pageEst. 6–12 LPA
Posted 19h ago
Reach people at AmerisourceBergen
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at AmerisourceBergen you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own the design, development, optimization, and integration of AI models and machine learning applications to address identified business challenges and use cases.
- Perform data pre-processing, feature engineering, model training, evaluation, and exploratory data analysis to extract insights and improve AI model performance.
- Collaborate cross-functionally with stakeholders including data scientists, software engineers, and product managers to ensure project execution and communicate progress and results.
Minimum Requirements
- Bachelor’s degree in computer science, software engineering, data science, information systems, machine learning, or related field, or equivalent experience.
- Less than 2 years of experience in machine learning engineering, MLOps engineering, platform engineering, DevOps engineering, software engineering, or related technical field.
- Solid understanding of statistical analysis, data visualization, and exploratory data analysis.
- Certification in cloud platforms, DevOps, machine learning, container orchestration, automation, or platform engineering is preferred but not mandatory.
Ideal Candidate Profile
- Candidates who can effectively translate business requirements into AI technical solutions with strong problem-solving skills.
- Candidates comfortable working in collaborative, cross-functional teams including data science and product management.
- Candidates with up-to-date knowledge of AI, machine learning, and related technologies and capable of applying them to improve existing solutions.