Data Scientist – Machine Learning & AI (GenAI Focus)
Machine Learning (ML)
PythonAbout 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
Shubham Vishwakarma
Full Stack Developer - Averlon
About Ampera Technologies
About
At Ampera Technologies, we empower businesses with cutting-edge data analytics, quality assurance, and data engineering solutions
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Full Stack Developer - Averlon