
Machine Learning Engineer
2 weeks ago
Machine Learning Engineer (LLMs & Deep Learning)
Location:
Bangalore
Employment Type:
6 months Contract
Job Description:
We are looking for a skilled
Machine Learning Engineer
with strong expertise in deep learning and large language models (LLMs). The role requires end-to-end experience across model development, training, deployment, and optimization.
Key Responsibilities & Skills:
Proficiency in
Python
for machine learning and data science tasks.
Practical experience with
deep learning frameworks : PyTorch and/or TensorFlow.
Strong foundation in
supervised & unsupervised learning algorithms
(classification, regression, clustering, dimensionality reduction).
Experience building, fine-tuning, and evaluating
neural network models , especially
transformer-based architectures used in LLMs .
Familiarity with ML libraries:
NumPy, pandas, scikit-learn, matplotlib .
Hands-on use of
LLMs
with frameworks like HuggingFace Transformers, OpenAI API, or similar.
Prompt engineering
and context formulation for optimizing LLM outputs.
Expertise in
data preprocessing, cleaning, and pipeline creation
for large and unstructured datasets.
Practical skills in
model deployment & serving
using Docker, FastAPI/Flask, or related APIs.
Familiarity with
MLOps concepts : MLflow (model versioning), Airflow (workflow automation), Docker/Kubernetes (containerization).
Strong grasp of
model validation & testing best practices
(train/test splits, cross-validation, metrics).
Ability to work with standard ML data formats:
CSV, JSON, etc.
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