Become a Machine Learning & Fine-Tuning Engineer
₹6,00,000 – ₹15,00,000 LPA Verified Average Starting Remuneration
Master classical machine learning architectures, statistical feature engineering, synthetic instruction dataset curation, and parameter-efficient fine-tuning (PEFT/LoRA) on open-weights models.
Key Course Highlights
Open-Weights Fine-Tuning
Fine-tune Llama-3 and Mistral models using LoRA and QLoRA on domain-specific instruction datasets.
Feature & Loss Engineering
Build reproducible data cleansing pipelines, extract statistical features, and monitor convergence loss curves.
Audited Git Portfolio
Ship trained model adapters, evaluation benchmarks, and inference endpoints to public GitHub repositories.
Learn from real intern implementations: synthetic instruction dataset generation and Llama fine-tuning from Gayatri-Tutor-V3, combined with feature engineering, ensemble model training, and backtesting from Alkame-Nifty-50.
What You'll Master
1. Applied Machine Learning & Feature Pipelines
Wrangle complex real-world datasets with NumPy and Pandas. Implement feature extraction, categorical encoding, cross-validation, and train ensemble models (Random Forests, XGBoost).
- • Statistical data cleansing & missing value imputation
- • Feature engineering, rolling transformations & correlation analysis
- • Precision, Recall, F1, ROC-AUC, and backtest performance auditing
2. Open-Weights LLM Fine-Tuning & Quantization
Curate domain-specific instruction datasets, format JSONL training pairs, and apply LoRA/QLoRA adapters to open-weights models. Export 4-bit GGUF models for local execution.
- • Synthetic instruction dataset generation & quality filtering
- • Parameter-Efficient Fine-Tuning (PEFT/LoRA/QLoRA) with PyTorch
- • Quantization to GGUF and local inference deployment via Ollama
Production Projects You'll Ship to Your Git Repository
Domain-Adapted Technical Tutor Model
A custom fine-tuned Llama-3 model trained on synthetic programming exercises, evaluated against standard benchmarks, quantized into 4-bit GGUF, and deployed with a local REST inference endpoint.
Multi-Factor Market Ensemble Predictor
A complete financial machine learning pipeline featuring feature extraction, historical backtesting, and ensemble model prediction deployed with interactive performance dashboards.
Transparent Indian Tuition & Flexible EMI
Complete upfront transparency without hidden fees. Access live cohort sprints, GPU lab environments, and expedited startup referral opportunities.
Includes full synchronous cohort sessions, cloud GPU compute allocations, code review check-ins, and permanent credential registration.
Explore Launchpad Track →Structured through authorized Indian banking partners with minimal documentation and zero interest surcharge.
Inquire About EMI FinancingProduction Technologies Mastered
Frequently Asked Questions
A working understanding of basic linear algebra and statistics (mean, variance, vectors), along with foundational Python programming (NumPy/Pandas). Candidates with no prior Python experience should begin with our Launchpad foundation track.
While we cover core neural network architectures and loss functions, production engineering emphasizes Parameter-Efficient Fine-Tuning (LoRA & QLoRA) on modern open-weights foundation models (Llama-3, Mistral) to deliver commercial domain adaptations.
Yes. Our labs leverage 4-bit and 8-bit quantization (QLoRA) enabling fine-tuning on cost-effective GPUs (NVIDIA RTX series or Google Colab T4/A100 instances), with local inference served through Ollama.
You will work directly with patterns from our live intern repositories: Gayatri-Tutor-V3 (synthetic data generation & local LLaMA fine-tuning) and Alkame Nifty-50 (ensemble ML predictors, backtesting & feature engineering).
Graduates receive a cryptographically verified credential serial number that recruiters can audit instantly at dbert.in/verify, coupled with verifiable Git commits.
Launch Your Machine Learning Career
Ready to fine-tune open-weights models, architect robust ML pipelines, and build an auditable GitHub portfolio? Enroll today in DBERT Industrial Training.