Artificial Intelligence Engineer

Position -

Location - Gurgaon/Chennai/Hyderabad/Pune/Kolkata/Mumbai/Bangalore

Experience -

ABOUT HASHEDIN

We are software engineers who solve business problems with a Product Mindset for leading global organizations.

By combining engineering talent with business insight, we build software and products that can create new enterprise value.

The secret to our success is a fast-paced learning environment, an extreme ownership spirit, and a fun culture.

WHY SHOULD YOU JOIN US?

With the agility of a start-up and the opportunities of an enterprise, every day at HashedIn, your work will make an impact that matters.

So, if you are a problem solver looking to thrive in a dynamic fun culture of inclusion, collaboration, and high performance – HashedIn is the place to be!

From learning to leadership, this is your chance to take your software engineering career to the next level.

JOB TITLE - Senior AI Engineer and Data Scientist – Palantir Platform

About the Role

Senior Data Scientist & AI Engineer

Key Responsibilities

Lead end-to-end solution development

Own the full data science lifecycle:

Data ingestion, cleansing, transformation, and integration from diverse sources

Feature engineering, selection, and ontology/schema design

Exploratory data analysis (EDA) and visualization

Model development, training, tuning, validation, and deployment

Production monitoring, drift detection, and model retraining

Design and implement AI engineering solutions

Building and optimizing AIP Logic Functions

Leveraging LLMs for translation, classification, and document/image parsing

Implementing semantic search, schema matching, and data validation

Developing and deploying computer vision models for media analysis

Creating feedback loops and cross-validation workflows to enhance model performance

Collaborate with cross-functional teams

Mentor and guide junior team members

Stay current with emerging trends

Required Skills & Experience

Education:

Experience:

Palantir Platform:

Cloud Platforms:

Core Data Science Competencies:

Data ingestion, transformation, and integration

Feature engineering and selection

Ontology/schema creation and management

EDA and data visualization

Model training, evaluation, hyperparameter tuning, and deployment

AI Engineering Competencies:

Object relations and data modeling

Building and deploying AI logic functions (AIP Logic)

Working with LLMs (translation, classification, document parsing)

Computer vision model development and image clustering

Schema matching, semantic search, and data validation

Feedback loop implementation and model retraining

Programming:

ML/AI Frameworks:

Visualization:

DevOps/MLOps:

Soft Skills:

Preferred Skills

Experience with advanced LLMs (e.g., GPT-4, GPT-4o, Gemini, Claude, etc.) and production deployment.

Certifications (Nice to Have)

Palantir Foundry or AIP certifications

AWS, Azure, or GCP ML certifications