Data Science

5 days ago

Bengaluru, Karnataka, India Artech Full time ₹ 12,00,000 - ₹ 36,00,000 per year

We are seeking a Senior Software Engineer who brings 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.

Key Skills & Traits:

6+ 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 (Databricks preferred)

Expertise in MLOps/LLMOps for scalable model deployment and management

Advanced programming skills in Python, SQL, and automation frameworks

Worked in Cloud Platforms: Databricks(AI-ML)

MLOps/LLMOps and MLFlow

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.

Good to have :

Data Processing: Pandas, NumPy, Spark.

DevOps: Docker, Kubernetes,DVC(Data Version control)/model monitoring and versioning.

WHAT YOULL WORK ON:

As a Senior Software Engineer, you will play a crucial role in shaping, modernizing, and scaling by helping driving AI adoption and automation.

Core AI/ML engineer 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.

Evangelize AI adoption, helping Nike teams unlock new automation opportunities.

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