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- ₹5,00,000 - ₹12,00,000 a year
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- Flexible schedule
Quick apply
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Artificial Intelligence Engineer

Go Brilliant Technologies Private Limited
Chandigarh, Chandigarh

Quick apply

Job details

Full-time
₹5,00,000 - ₹12,00,000 a year
19 hours ago

Benefits

Flexible schedule

Qualifications

TensorFlow
Statistics
Elasticsearch
Go
Law
Kubernetes
PyTorch
Calculus
Spark
NumPy
NoSQL
Master's degree
SQL
Pandas
AWS
Docker
Bachelor's degree
Machine learning
Distributed systems
Forecasting
Natural language processing
Data science
AI
Communication skills
Python
Debugging

Full job description

Data Scientist / AI Engineer

Go Brilliant Technologies Private Limited is helping our partners confront the challenges of technological disruptions & digital penetration in their businesses. The solutions provided by us to our clients have helped us develop and maintain good relations in the market. From small changes to innovative solutions, we help our clients to achieve profitable growth, business expansion, and customer satisfaction. Based out of Chandigarh, Go Brilliant is developing enterprise level software in IoT, Blockchain and Elastic Search.

Visit our website: https://www.gobrillianttech.com/

Employment Type: Full-Time
Experience: 3–5+ Years
Education: Bachelor’s/Master's Degree
Location: Chandigarh

About the Job

Go Brilliant Technologies is seeking a highly skilled Data Scientist / AI Engineer with strong expertise in LLMs, RAG architectures, and Time Series forecasting. You will be responsible for building advanced AI systems, developing intelligent automation solutions, and contributing to the AI strategy across client projects and internal product lines. This role requires a blend of strong ML engineering experience, hands-on coding skills, and the ability to move fast with an MVP mindset.

Key Responsibilities

LLM & RAG Development

Design, optimize, and maintain RAG systems, vector databases, and advanced retrieval pipelines.
Fine-tune, evaluate, and deploy LLMs (Cohere, open-source models) using PyTorch, TensorFlow, LangChain, LlamaIndex.
Build NLP/NLU/NLG systems, embeddings pipelines, and tokenization workflows.

Machine Learning & Time Series

Build and deploy ML models for classification, forecasting, and predictive analytics.
Work extensively with time-series data, including: Non-stationary datasets. High-frequency sampling (seconds/milliseconds), Multi-step forecasting
Apply advanced ML frameworks: XGBoost, CatBoost, PyTorch, TensorFlow.

Data Engineering & Infrastructure

Develop and maintain ETL pipelines for large-scale datasets (SQL, NoSQL, Time-Series DBs such as InfluxDB/TimescaleDB).
Integrate ML/LLM models into production using AWS/OCI, Docker, and Kubernetes.
Conduct A/B testing, model evaluation, monitoring, and MLflow tracking.

AI Research & Rapid Prototyping

Contribute to internal AI research initiatives.
Execute fast iterations with an MVP mindset—focus on proving concepts efficiently.

Required Skills & Experience

3+ years of experience in Data Science / AI Engineering.
Strong proficiency in Python, including Pandas, NumPy, Scikit-Learn.
Deep understanding of transformers, LLMs, RAG pipelines, embeddings, and vector stores (FAISS, Pinecone, Chroma).
Experience with PyTorch, TensorFlow, JAX, and production workflows using MLflow.
Strong grasp of linear algebra, calculus, statistics, ML algorithms.
Experience with distributed computing tools (Spark) and containerization (Docker/Kubernetes).
Excellent analytical, debugging, and communication skills.

About Go Brilliant Technologies:

A diverse workplace in which employees are heard, valued, and engaged
Opportunities to work in Global projects and to interact with clients from around the world
Flexible work hours and work-life balance
Competitive base pay, as well as bonuses that rewards individual performance
Career progression and appreciation for excellent performers
Opportunities to work on projects using the latest technologies and tools
Employer-sponsored training and coaching within India and Abroad

Pay: ₹500,000.00 - ₹1,200,000.00 per year

Work Location: In person

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