Senior Software Engineering, AI and Machine Learning (Python) - Chennai, India.

Exasol accelerates insights from the world’s data. Our in-memory technology, massively parallel processing (MPP) technology is specifically designed for analytics, enabling businesses to turn data into actionable insights.

At Exasol, we are committed to pushing the boundaries of what is possible in data analytics, and we are looking for passionate individuals to join our team and help share the future of data technology. Join our diverse, remote-first team where more than 30+ languages (and counting!) are spoken, and every voice is valued. We are looking for passionate individuals who thrive on collaboration, innovation, and a shared commitment to help share the future of data technology.

Are you passionate about AI, LLMS and Machine Learning? Do you have a knack for crafting state-of-the-art software solutions? If so, we invite you to join the dynamic Innovation team at Exasol! We are looking for an experienced Software Engineer (Python) to help take our product offerings in the AI space, including our cutting-edge AI Lab, to the next level.

Key Responsibilities:

• Develop and maintain our product offerings in the AI space that enable customers to run LLMs or Machine Learning algorithms within Exasol
• Assist our customers and partners with your expertise in their AI / Data Science / Machine Learning projects, in order to solve their specific needs.
• Create and enhance documentation, showcases and examples that show and explain Exasol‘s AI and Machine Learning capabilities.
• Support our Exasol Trainers by developing training materials for the connectors and integrations.
• Use your knowledge about AI / Data Science / Machine Learning to further educate your colleagues.

Required Qualifications:

• You have at least 3 years of experience with AI / Data Science / Machine Learning for tabular and text data.
• You are proficient in Python, scikit-learn, pytorch, Jupyter and GPUs.
• You are familiar with huggingface transformers.
• You are familiar with distributed machine learning.
• You are motivated and eager to broaden your knowledge within new areas, when necessary, e.g. R, TensorFlow.
• You are proficient with relational databases and SQL.
• You have basic Linux and Linux scripting knowledge.
• You have experience working with Docker or other container technologies.
• You have a customer-centric mindset and your goal is always to create an optimal user experience.
• You have a good understanding of data structures, data modeling and software architecture.
• You have good knowledge of mathematics, probability, statistics and algorithms.

How We Work at Exasol:

• Own Your Impact: At Exasol, you are not just a cog in the machine; you will step into immediate ownership of projects, driving them forward with a refreshing level of autonomy.
• Thrive in a Global Team: Join a vibrant, international community where diversity is celebrated, collaboration is key, and feedback fuels growth.
• Learn, Grow, Lead: We are invested in your development! Continuous knowledge-sharing, "Coffee and Learn" sessions, exciting events, and dedicated leadership programs empower you to soar.
• Work on Your Terms: Flexibility is the name of the game! Enjoy adaptable hours, remote options, and "workcations" for the ultimate work-life balance.
• Growth That Goes Beyond the Office: Dive into a comprehensive onboarding experience, fun team events, and a deep commitment to diversity and sustainability. We care about your holistic well-being.
• Rewards that Matter: Monthly home office allowance, volunteering options, floating days, and secure pension plans (location-dependent) prove we value your contributions.

Our values drive our unique and inclusive culture, discover how they shape your Exasol experience. Learn more about our core values at Exasol.

About Exasol:

Take the next step in your career journey. Visit www.exasol.com to explore our current job openings and follow us on LinkedIn to see what it is like to work at Exasol.

Exasol is a proud, equal opportunities employer. We are committed to a diverse and inclusive working environment and therefore base all our employment selection decisions, within all aspects of our business, on experience, skill, and integrity. We strongly encourage applicants from all walks to life to apply for our positions, irrespective of age, sex, gender identity, disability, sexual orientation, race, religion, etc.