2 days ago
Hyderābād, IndiaMid Level
Responsibilities
- Implement machine learning approaches tailored to financial tasks across Knowledge Graphs.
- Optimize and scale AWS infrastructure for reliable delivery of ML and AI solutions, including LLM integration.
- Collaborate with data scientists and ML engineers to integrate and manage ML and NLP models in production.
- Guide model selection and deployment strategies.
- Participate in the full software development lifecycle, including design, coding, testing, and deployment of financial AI applications.
- Develop and maintain data pipelines for structured and unstructured financial data.
- Enhance and scale event-driven architectures.
Requirements
- Bachelor’s or master’s degree in Computer Science or an equivalent qualification.
- At least 2 years of software engineering experience, with significant experience integrating AI/ML solutions in production.
- Experience with event-driven architectures and AWS cloud architecture.
- Proficiency in Python, Docker, and API development.
- Familiarity with SQL, NoSQL, and vector database architectures.
- Strong communication skills for bridging technical and business audiences.
- Knowledge of Knowledge Graphs, NLP, machine learning, and deep learning concepts is highly desirable.
- Expertise with nltk, SpaCy, and unstructured text analysis is highly desirable.
- Deep understanding of financial data, applications, and domain-specific challenges is highly desirable.
Benefits
- Health, life, and disability insurance.
- Retirement savings plans and a discounted employee stock purchase program.
- Paid time off for holidays, family leave, and company-wide wellness days.
- Flexible work accommodations supporting work/life harmony.
- Career progression planning and dedicated monthly learning and development time.
- Business Resource Groups and opportunities to participate in volunteerism and sustainability initiatives.
About FactSet
FactSet creates flexible, open data and software solutions for tens of thousands of investment professionals around the world, providing instant access to financial data and analytics that investors use to make crucial decisions. For 40 years, through market changes and technological progress, our focus has always been to provide exceptional client service. From more than 60 offices in 23 countries, we’re all working together toward the goal of creating value for our clients, and we’re proud that 95% of asset managers who use FactSet continue to use FactSet, year after year. As big as we grow, as far as we reach, and as successful as we become, we stay connected to our clients and to each other.