AI Data Engineer - LMTS / PMTS - Hyderabad

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Role Description

About Hyperforce Developer Experience Engineering

Hyperforce Developer Experience is a team dedicated to enhancing developer productivity and experience by using generative AI. We're focused on revolutionizing software development by delivering best-in-class products and ensuring high customer trust at cloud scale. By providing innovative AI-powered tools and solutions, we aim to exceed customer expectations and establish a strong reputation for excellence. We build highly Scalable, Secure, Reliable, Easy-to-use, and Intelligent services that are the foundation for all developers at Salesforce to innovate with high quality and great agility.

We are looking for versatile AI Software Engineers to join our team and build an innovative AI platform to enhance developer productivity, offering features like advanced code generation, intelligent code completion, and automated testing. The ideal candidate will have a strong foundation in machine learning, deep learning, and software engineering. You'll work on state-of-the-art AI models, optimize infrastructure for scalability, and collaborate with cross-functional teams to deliver innovative solutions. Join us in shaping the future of software development and making a significant impact on developer productivity.
The key objectives of this team are :

• Accelerate Development: Reduce development time and effort through automated code generation and intelligent suggestions.

• Improve Code Quality: Enhance code accuracy, readability, and maintainability with AI-powered tools.

• Foster Innovation: Empower developers to explore new ideas and experiment with cutting-edge technologies.

• Streamline Workflows: Automate repetitive tasks and streamline the development process.

• Enhance Data-Driven Insights: Gather, refine, and analyze data to optimize AI models and measure their impact.

• Create User-Friendly Interfaces: Design intuitive and user-friendly interfaces for AI-powered tools.

• Build a Unified IDE Plugin: Deliver a single, powerful plugin for both internal and external Salesforce developers.

• Advanced Code Generation: Empower developers with features like auto-completion, code generation, and unit test generation.

• Scalable Infrastructure: Build a robust infrastructure to handle massive workloads and support a growing user base.

• Cutting-Edge AI: Continuously innovate and explore advanced AI techniques to improve the quality and relevance of code suggestions.

Responsibilities:

• Gather and refine large datasets from various sources, including APIs, databases, and files.

• Clean, transform, and preprocess data to ensure quality, accuracy, and consistency.

• Design, build, and maintain efficient data pipelines to handle large volumes of data.

• Implement advanced RAG (Relevance, Accuracy, and Generalizability) techniques for accurate information retrieval.

• Develop and maintain RAG models using machine learning algorithms and natural language processing techniques.

• Establish benchmarks to measure model performance, including metrics such as accuracy, precision, and recall.

• Continuously monitor and improve model performance using data analytics and visualization tools.

• Design and implement data storage solutions, including relational databases, NoSQL databases, and data warehouses.

• Analyze data and generate insights using statistical analysis and machine learning

• Eat, sleep, and breathe techniques in improving developer productivity. You have a knack of suggesting ideas to understand the developer needs and provide creative solutions to improve the developer productivity using AI tools

• Participate in the team's on- call rotation to address complex problems in real-time and keep services operational and highly available

• Create and enforce processes that ensure quality of work, and drive engineering excellence

• Exhibit a customer-first mentality while making decisions, and be responsible and accountable for the output of the team

Core Qualifications:

• Total 10 + years of exp with 3+ years of experience in data engineering, with a focus on building data pipelines, implementing RA techniques, and working with large datasets.

• Experience with machine learning and natural language processing techniques.

• Proficiency in programming languages such as Python, Java, Typescript or Golang.

• Experience with data engineering tools such as Apache Beam, Apache NiFi, AWS Glue, or Google Cloud Dataflow.

• Knowledge of data storage solutions, including relational databases, NoSQL databases, and data warehouses.

• Familiarity with machine learning frameworks and libraries, including TensorFlow or PyTorch

• Experience with data visualization and reporting tools, including Tableau, Looker Studio, or D3.js.

• Strong analytical skills with expertise in statistical modeling and machine learning techniques (e.g., regression analysis, classification, clustering).

• Excellent communication skills, both written and verbal, to effectively collaborate with multi-functional teams (engineering, product management)

• Ability to work in a fast-paced environment, with a focus on delivering high-quality results under tight deadlines.

BENEFITS & PERKS

• Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!

• World-class enablement and on-demand training with Trailhead.com

• Exposure to executive thought leaders and regular 1:1 coaching with leadership

• Volunteer opportunities and participation in our 1:1:1 model for giving back to the community

For more details, visit https://www.salesforcebenefits.com/

Accommodations

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Posting Statement

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