Artificial Intelligence Engineer

HGS; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading tech company in Bengaluru is seeking an experienced AI Project Manager to lead its AI research and development team. Responsibilities include designing AI infrastructures, ensuring ethical AI practices, and developing strategies that support business goals. Candidates should possess skills in NoSQL, NLP, Statistical Analysis, and more. The role requires collaboration across teams to integrate AI into products while monitoring trends for innovation. Competitive salary and opportunities for professional growth are offered.

Responsibilities

• Design the overall infrastructure and technical standards for AI projects.
• Ensure AI systems are fair, transparent, and unbiased.
• Lead the AI research and development team.
• Develop strategies that support business objectives.
• Oversee AI models and algorithms development and deployment.
• Collaborate to integrate AI solutions into products.
• Monitor AI trends to keep the company at the forefront of technology.
• Ensure scalability and efficiency in AI model deployment.
• Mentor team members and foster collaboration.

Skills

NoSQL - MongoDB

NoSQL - DynamoDB

Natural Language Processing (NLP/NLU)

Named Entity Recognition (NER)

Speech To Text (STT)

Large Language Models (LLMs)

Statistical Analysis

Data Wrangling

Data Visualization

Productionizing Models

JIRA

Confluence

Linux

Job description

Core Responsibilities

• Design the overall infrastructure, platforms, and technical standards for AI projects, choosing appropriate tools and ensuring smooth, integrated data flows.
• Ensures AI systems are fair, transparent, and unbiased. Establish ethical guidelines, perform impact assessments, and address legal/societal implications.
• Lead and manage the AI research and development team.
• Develop and implement AI strategies that support business objectives.
• Oversee the design, development, and deployment of AI models and algorithms.
• Collaborate with cross-functional teams to integrate AI solutions into products.
• Monitor and analyze AI trends to ensure the company remains at the forefront of technology.
• Ensure scalability and efficiency in AI model deployment.
• Mentor team members and foster a collaborative working environment.

AI - Core Responsibilities

• Algorithm Development: Creating algorithms for machine learning, NLP, or computer vision.
• Data Management: Cleaning, preprocessing, and analyzing data.
• Model Training & Evaluation: Training, testing, and refining models to improve accuracy.
• Deployment: Integrating AI models into production environments.
• Collaboration: Working with cross-functional teams to align AI solutions with business goals.

Skills

• NoSQL - MongoDB, DynamoDB.
• Natural Language - NLP/NLU, NER, STT, LLMs.
• Statistical Analysis, Data Wrangling, Data Visualization, Productionizing Models, JIRA, Confluence, Linux.