Artificial Intelligence Engineer ( only Bangalore based )

Pylon Management Consulting Pvt. Ltd.; Bengaluru; Híbrido; INR 4 000 000 - 8 000 000; Tempo integral

Resumo da oferta

Pylon Management Consulting Pvt. Ltd. in Bengaluru seeks an experienced Data Science/ML leader to guide end-to-end ML projects and production-grade systems deployment.

You will oversee modeling, deployment, monitoring, and data privacy compliance while mentoring a cross-functional team. The ideal candidate has 6+ years in data science or ML, expert-level Python/SQL skills, and a strong background in NLP, knowledge graphs, and real-time data processing.

Qualificações

• Degree in a quantitative field as specified.
• 6+ years in Data Science, ML or analytics with leadership experience.
• Expertise in statistical modeling, ML, deep learning, data/text mining, and Gen AI prompting.
• Proficiency in Python and SQL; experience with large-scale, real-time data.
• Experience with AWS and MLOps tools for model deployment and monitoring.
• Proven production-grade ML systems deployment experience.
• Strong data visualization knowledge.
• Excellent critical thinking and problem-solving.
• Commitment to data privacy regulations.

Conhecimentos

Leadership

Advanced problem solving

Critical thinking

Ethical data science

Data-driven decision making

6+ years experience

Formação académica

Bachelor's/Master’s/Ph.D. in CS/Statistics/Math/Engineering/Data Science

Ferramentas

Python

SQL

Airflow

Docker/Kubernetes

AWS

MLOps tools

Vector databases

Descrição da oferta de emprego

• Bachelors, 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.