Machine Learning Engineer
7 days ago
Position:
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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