Staff Engineer - Data Scientist (AI)

TL;DR

Staff Data Scientist (AI): Architecting and technically envisioning core Generative AI capabilities, focusing on the lifecycle of autonomous agents. Focus on advancing Information Retrieval strategies, prompt tuning and engineering, and enabling seamless conversational experiences.

Salary: INR 0 - INR 0

Company

hirify.global builds uncomplicated service software that delivers exceptional customer and employee experiences.

What you will do

• Collaborate with product and business teams to understand challenges and align data science initiatives with organizational objectives.
• Define key performance metrics that accurately reflect the value delivered to end-users through GenAI solutions.
• Conceptualize, experiment, and design intelligent systems powered by GenAI, applying expertise in machine learning, statistics, and advanced mathematics.
• Develop efficient systems for processing vast data volumes, utilizing distributed programming frameworks like Hadoop and Spark.
• Collaborate with ML Engineers to design scalable systems and model architectures that enable real-time ML/AI services.
• Take ownership of ML pipelines from end to end, including data pre-processing, model generation, cross-validation, and feedback sharing.

Requirements

• A Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or a related field, with a minimum of 9 years of relevant work experience.
• Strong problem-solving and programming skills, coupled with a profound understanding of the mathematical foundations underpinning machine learning algorithms.
• Proven track record of successfully deploying ML projects in production systems with substantial individual contributions.
• Experience with natural language processing tasks utilizing prompt engineering, LLMs, transformers, and knowledge graphs is highly advantageous.
• Proficiency with database systems and schema design, encompassing both SQL and NoSQL databases.
• A solid background in at least 2 of the following areas: Natural language processing, statistical ML techniques, graph algorithms, constraint optimization, deep learning, and distributed systems.

Culture & Benefits

• Environment enables everyone to find their true potential, purpose, and passion.
• Welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities.
• Committed to providing equal opportunity.
• Diversity in the workplace creates a more vibrant, richer environment that boosts the goals of employees, communities, and business.