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Data Scientist – Machine Learning & AI (GenAI Focus)
Data Scientist – Machine Learning & AI (GenAI Focus)
Ampera Technologies's logo

Data Scientist – Machine Learning & AI (GenAI Focus)

Faisal AshrafNomani's profile picture
Posted by Faisal AshrafNomani
4 - 15 yrs
₹30L - ₹40L / yr
Bengaluru (Bangalore), Delhi, Gurugram, Noida, Ghaziabad, Faridabad, Chennai
Skills
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Generative AI
skill iconPython
Scikit-Learn
TensorFlow
PyTorch
MLFlow
MLOps

About the Role

 

We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, MLOps, and Generative AI. The ideal candidate will have hands-on experience in building scalable ML models, deploying them in production, and working with modern AI frameworks, including GenAI technologies.

 

 

 

Key Responsibilities

 

·      Design, develop, and deploy machine learning models for real-world business problems

·      Work on end-to-end ML lifecycle: data preprocessing, model building, evaluation, deployment, and monitoring

·      Implement and manage MLOps pipelines for scalable and reproducible workflows

·      Utilize tools like MLflow for experiment tracking, model versioning, and lifecycle management

·      Develop and integrate Generative AI (GenAI) solutions such as LLM-based applications

·      Collaborate with cross-functional teams (engineering, product, business) to translate requirements into AI solutions

·      Optimize model performance and ensure production stability

·      Stay updated with the latest advancements in AI/ML and GenAI ecosystems

 

 

 

Required Skills & Qualifications

 

·      4+ years of experience in Data Science / Machine Learning

·      Strong programming skills in Python

·      Hands-on experience with ML modeling techniques (supervised, unsupervised, NLP, etc.)

·      Solid understanding of MLOps practices and tools

·      Experience with MLflow or similar model lifecycle tools 

·      Practical experience in Generative AI (GenAI), including working with LLMs

·      Experience with libraries/frameworks like Scikit-learn, TensorFlow, PyTorch

·      Strong understanding of data structures, algorithms, and statistics

·      Experience with cloud platforms (AWS/GCP/Azure) is a plus


Good to Have

 

·      Experience with LLM fine-tuning, prompt engineering, or RAG pipelines

·      Exposure to Docker, Kubernetes, and CI/CD pipelines

·      Knowledge of data engineering workflows 



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About Ampera Technologies

Founded :
2024
Type :
Services
Size :
20-100
Stage :
Profitable

About

At Ampera Technologies, we empower businesses with cutting-edge data analytics, quality assurance, and data engineering solutions

Read more

Company social profiles

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