who bring deep expertise in Databricks, AWS Services, Cloud Platforms, and AI-driven automation. You are someone who thrives in building scalable, high-performance data platforms to improve efficiency, insights, and user experience.

Salary

: INR 16,00,000 - 32,00,000 / year (based on experience)

Responsibilities

Develop end-to-end ML pipelines with focus on production reliability.
Implement robust testing and validation frameworks for ML models.
Establish best practices for model versioning and reproducibility.
Build and optimize production-grade ML models .
Develop custom NLP solutions for text analysis and processing.
Create automated model evaluation and optimization pipelines.
Manage ML infrastructure on Databricks cloud platform.
Ensure scalability and cost optimization of ML deployments.
Maintain data quality and pipeline efficiency.
Maintain security and compliance implementations for ML systems.

Eligibility

2-5 years of production experience in AI/ML model development, deployment, and maintenance
Proven expertise with Large Language Models (LLMs) and NLP tasks
Strong background in data science and cloud-based AI/ML services
Expertise in MLOps/LLMOps for scalable model deployment and management
Advanced programming skills in Python, SQL, and automation frameworks.
Hand on experience in Machine Learning: Supervised and unsupervised learning, model building, evaluation, and optimizations.
Hand on experience in Deep Learning: Neural networks, CNNs, RNNs, LSTMs, transformers, and LLMs ; LLM fine-tuning and deployment
Completed projects in Natural Language Processing (NLP): Text pre-processing, tokenization, embeddings, sentiment analysis, named entity recognition (NER), anomaly detection
Frameworks and Libraries: PyTorch, Keras, Scikit-learn, Hugging Face Transformers.
Worked in Cloud Platforms: Databricks(AI-ML) - preferred / AWS (SageMaker)
MLOps/LLMOps
Passion for leveraging AI to enhance automation, efficiency, and analytics
Strong collaboration, problem-solving, and leadership skills, with the ability to drive initiatives across multiple teams.

(*Note: This is a requirement for one of Scout's clients)
Skills: cloud,ml,nlp

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