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Job Description & How to Apply Below
About the Role:
Grade Level (for internal use):
11 The Team :
The Foreseer team delivers digital transformation solutions for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers.
Job Brief
We are looking for a Machine Learning Engineer to help us improve our AI products and create new ML applications.
ML Engineer responsibilities include transforming data into useful features using machine learning techniques to feed predictive algorithms. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and feature engineering techniques.
Your goal is to develop efficient self-learning AI applications.
Responsibilities
Study and transform data science prototypes
Design AI/ML applications
Leverage large language models and vision language models for information retrieval
Select appropriate annotated datasets for Supervised Learning methods
Use effective feature engineering to transform raw data into useful features
Find and implement the right algorithms and tools for ML tasks
Develop ML systems according to requirements
Train the developed model and run evaluation experiments
Integrate the models in application flow and deploy at scale
Perform statistical analysis of results and refine models
Extend ML libraries and frameworks to apply in various ML tasks
Remain updated in the rapidly changing field of machine learning
Requirements and Skills
BS or MS degree in Computer Science, AI/ML, Data Science or related field.
9+ Years hands on experience in AI/ML, Data Science.
Knowledge of Python and related libraries.
Ability to effectively write robust and testable code and design software architecture.
Understanding of ML techniques for feature engineering, data preprocessing, data structures and modelling.
Strong understanding of AI technologies (e.g. Generative AI, NLP, Computer Vision) and their business applications.
Hands on experience in leveraging language models for information retrieval.
Deep understanding of feature engineering techniques, statistics and machine learning algorithms (such as regression, classification, clustering, neural networks, etc.)
Familiarity with AI platforms (e.g., Tensor Flow, PyTorch), libraries (like scikit-learn) and cloud AI services (AWS, GCP, Azure).
Experience in different data base technologies (like RDBMS, NOSQL)
Experience in Containerization, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc.
Proficiency in the development environment, including IDE, web & application server, GIT, Azure Dev Ops, unit-testing tool and defect management tools
Strong communication skills
An analytical mind with problem-solving abilities
What's In It For You?
Our Mission:
Advancing Essential Intelligence.
Our People:
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business.
Join us and help create the critical insights that truly make a difference.
Our Values:
Integrity, Discovery, Partnership
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions…
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