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