Website:
gobrillianttech.com
Job details:
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, TimeSeries 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
Click on Apply to know more.