Senior AI Engineer

Crisis24; Bengaluru; Vor Ort; INR 4.000.000 - 7.000.000; Vollzeit

Zusammenfassung

Crisis24 in Bangalore, India, seeks a Senior AI Engineer to lead the AI pipeline team and build scalable data systems that combine unstructured and structured data to identify risks and alert customers.

You will mentor data scientists, define model KPIs, and collaborate with engineering and product teams to deliver high-impact ML solutions across NLP, geospatial analysis, and event detection in a fast-paced environment.

Qualifikationen

• 6+ years of experience in Data Science, ML, or analytics with leadership experience.
• Strong foundation in statistical modeling and ML methods for production systems.
• Experience translating business goals into measurable ML KPIs.
• Proven ability to deploy scalable ML pipelines and ensure model interpretability.

Aufgaben

• Design and deploy end-to-end data pipelines combining unstructured and structured data.
• Mentor data scientists and enforce best practices.
• Lead LLM production in AWS Bedrock and OpenAI, including monitoring and cost optimization.
• Collaborate with product and engineering teams on data-driven opportunities.
• Ensure compliance with data privacy and ethical standards.

Kenntnisse

Python

SQL

Data Science

Leadership

Critical thinking

Ausbildung

Bachelor’s/Master’s/PhD in CS/Statistics/Math/Engineering/Data Science

Tools

AWS Bedrock

OpenAI

Airflow

Docker

Kubernetes

ML Ops

Jobbeschreibung

Job Title: Senior AI Engineer

Department: Software Development

Reports to: Director, Engineering

Location: Bangalore, India

WHO WE ARE LOOKING FOR

As a Senior AI Engineer in our AI pipeline team, you will build pipeline that identifies and alerts customers to emerging risks. This role focuses on designing and deploying advanced data pipelines that combine unstructured data with structured data. You will maintain and enhance models that detect and highlight potential risks, enabling proactive decision-making for our customers.

As the Senior AI Engineer, you will set the vision for our data science initiatives, work with a team of data scientists, and collaborate closely with engineering and product teams to build scalable, high-impact solutions. You will ensure the quality, accuracy, and interpretability of our risk detection models while driving innovation in natural language processing, geospatial analysis, and event detection in a fast-paced, mission-critical environment.

WHAT YOU WILL WORK ON

• Manage LLM production in AWS Bedrock and OpenAI, including deployment, scaling, monitoring, and cost optimization.
• Perform hands-on coding and development work.
• Mentor data scientists, review code, and enforce best practices.
• Translate business goals into model KPIs and measurable impact.
• Prioritize resources and plan data science roadmaps.
• Define strategy for analytics and data science initiatives.
• Collaborate with leadership and product teams on data-driven opportunities.
• Work with the team on end-to-end data science projects from design to deployment.
• Present insights to both technical and non-technical audiences.
• Drive innovation and process improvement through data science.
• Design and validate analytical models using diverse tools.
• Ensure compliance with data privacy, security, and ethical standards.
• Integrate LLM solutions into enterprise workflows with reliability and security.

WHAT YOU WILL BRING

• Bachelor's, Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related quantitative field.
• 6+ years of experience in Data Science, Machine Learning, or advanced analytics, with a proven track record of successful project delivery and leadership.
• Expertise in statistical modeling, ML, deep learning, data/text mining, and Gen AI prompting.
• Proficient in Python and SQL; experienced with large-scale, real-time data.
• Skilled in AWS and MLOps tools for model deployment and monitoring.
• Proven experience building and deploying production-grade ML systems.
• Strong knowledge of data visualization tools and methods.
• Excellent critical thinking and creative problem-solving skills.
• Committed to ethical data science and data privacy regulations.

Other skills:

• Expertise in advanced NLP and text analytics, including entity recognition, event detection, and multilingual modeling.
• Experience with information retrieval and web data mining, leveraging large-scale scraping, search relevance, and vector databases.
• Familiarity with knowledge graphs and relationship modeling to enhance risk intelligence and entity linkage.
• Strong understanding of MLOps and scalable ML systems using tools like Airflow, Docker/Kubernetes, and Cloud ML platforms.
• Proven leadership and communication skills, with the ability to mentor teams and translate analytical outputs into business insights.