Machine Learning Engineer

Overview

Location
Candidate should only be based in Ahmedabad
Job Overview
We are seeking a talented and enthusiastic Machine Learning Engineer with 2-3 years of experience to join our team. As an ML Engineer, you will design, develop, and deploy cutting-edge machine learning models and pipelines to solve real-world problems. You will collaborate closely with data scientists, software engineers, and stakeholders to implement scalable and efficient ML solutions.
Experience: 2-3 Years
Role: Machine Learning Engineer
Salary: As per market standard
Location: Ahmedabad
Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Skills Required

Machine Learning Expertise:
Strong proficiency in Machine Learning fundamentals
Deep Learning frameworks (e.g., PyTorch, TensorFlow)
Classical ML algorithms and libraries (e.g., scikit-learn)
Natural Language Processing (NLP)
Computer Vision
Time Series Analysis

Python Programming:
Expertise in Python with ML-specific libraries
NumPy, Pandas, SciPy
Hugging Face transformers
NLTK, spaCy
OpenCV

Model Lifecycle Management:
Experience with ML model lifecycle management tools
ML experiment tracking (e.g., MLflow, Weights & Biases)
Model versioning and registry
Feature stores (e.g., Feast, Tecton)
Model serving and deployment

Infrastructure and Deployment:
Docker containerization
Kubernetes for model deployment
CI/CD pipelines for ML workflows
Cloud platforms like AWS SageMaker, Azure ML, or GCP Vertex AI

Monitoring and Maintenance:
Model performance monitoring
Data drift detection
A/B testing
Model retraining pipelines

Bonus Skills (AI Engineering):Large Language Models (LLMs):
LLM fine-tuning and prompt engineering
Retrieval Augmented Generation (RAG)
LangChain/LlamaIndex
Vector databases (e.g., Pinecone, Weaviate)

Generative AI:
Diffusion models, GANs, and multi-modal models
Edge AI deployment
AI model optimization and quantization
Why PragetX is a good fit for your career?
5-days working
Flexible working hours
Valid Paid leaves
Diversify work culture
A perfect balance between private and corporate lives
Value for new ideas and suggestions
Incentives and promotion according to work
Employee centric organization
Rewarding and recognizing Employees