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Associate AI/ML Engineer

Associate AI/ML Engineer

APM Terminals

1 - 6 years

7 - 11 Lacs

pune bengaluru

Posted:1 day ago| Platform:

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Skills Required

supply chain computer science data analysis automation healthcare data processing workflow data quality forecasting logistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

In this role as an Associate AIML Engineer on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings.
Data AI/ML (Artificial Intelligence and Machine Learning) Engineering involves the use of algorithms and statistical models to enable systems to analyse data, learn patterns, and make data-driven predictions or decisions without explicit human programming. AI/ML applications leverage vast amounts of data to identify insights, automate processes, and solve complex problems across a wide range of fields, including healthcare, finance, e-commerce, and more. AI/ML processes transform raw data into actionable intelligence, enabling automation, predictive analytics, and intelligent solutions. Data AI/ML combines advanced statistical modelling, computational power, and data engineering to build intelligent systems that can learn, adapt, and automate decisions. What Ill be doing your accountabilities?

Build and maintain machine learning models for various applications, such as natural language processing, computer vision, and recommendation systems
Perform exploratory data analysis (EDA) to identify patterns and trends in data
Clean, preprocess, perform hyperparameter tuning and analyze large datasets to prepare them for AI/ML model training
Build, test, and optimize machine learning models and experiment with algorithms and frameworks to improve model performance
Use programming languages, machine learning frameworks and libraries, algorithms, data structures, statistics and databases to optimize and fine-tune machine learning models to ensure scalability and efficiency
Learn to define user requirements and align solutions with business needs
Work on AI/ML engineering projects, perform feature engineering and collaborate with teams to understand business problems
Learn best practices in data / AI/ML engineering and performance optimization
Contribute to research papers and technical documentation
Contribute to project documentation and maintain data quality standards

Foundational Skills

Understands Programming skills beyond the fundamentals and can demonstrate this skill in most situations without guidance.
Understands the below skills beyond the fundamentals and can demonstrate in most situations without guidance
- AI & Machine Learning
- Data Analysis
- Machine Learning Pipelines
- Model Deployment

Specialized Skills

To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance for the following skills:
- Deep Learning
- Statistical Analysis
- Data Engineering
- Big Data Technologies
- Natural Language Processing (NPL)
- Data Architecture
- Data Processing Frameworks
Proficiency in Python programming.
Proficiency in Python-based statistical analysis and data visualization tool
While having limited understanding of Technical Documentation but are focused on growing this skill

Qualifications & Requirements

BSc/MSc/PhD in computer science, data science or related discipline with 1+ years of industry experience building cloud-based ML solutions for production at scale, including solution architecture and solution design experience
Good problem solving skills, for both technical and non-technical domains
Good broad understanding of ML and statistics covering standard ML for regression and classification, forecasting and time-series modeling, deep learning
3+ years of hands-on experience building ML solutions in Python, incl knowledge of common python data science libraries (e.g. scikit-learn, PyTorch, etc)
Hands-on experience building end-to-end data products based on AI/ML technologies
Some experience with scenario simulations.
Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD
Team player, eager to collaborate and good collaborator

Preferred Experiences
In addition to basic qualifications, would be great if you have

Hands-on experience with common OR solvers such as Gurobi
Experience with a common dashboarding technology (we use PowerBI) or web-based frontend such as Dash, Streamlit, etc.
Experience working in cross-functional product engineering teams following agile development methodologies (scrum/Kanban/ )
Experience with Spark and distributed computing
Strong hands-on experience with MLOps solutions, including open-source solutions.
Experience with cloud-based orchestration technologies, e.g. Airflow, KubeFlow, etc
Experience with containerization (Kubernetes & Docker)

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Associate AI/ML Engineer