5 days ago
Hyderābād, IndiaStaff+
Responsibilities
- Design, fine-tune, and deploy small and open-source large language models and build prompt-engineering, few-shot prompting, and NLP/NLU workflows.
- Architect reusable Python AI/ML pipelines, APIs, microservices, and distributed computational systems.
- Deploy and scale production AI/ML solutions on AWS, Azure, or GCP using serverless services, containers, and infrastructure as code.
- Drive automation, monitoring, testing, packaging, and operational practices for cloud-based systems.
- Mentor engineers, lead architecture reviews, establish code standards, and coordinate high-quality technical delivery across teams.
- Serve as a technical escalation point for incident resolution and production troubleshooting.
Requirements
- 8-12 years of software development experience, including at least 3 years in senior or lead roles delivering ML/AI solutions in a cloud environment.
- Strong practical experience with LLM prompt engineering, few-shot prompting, and fine-tuning using tools such as Hugging Face, LangChain, or LangGraph.
- Mastery of Python for API and microservice development, object-oriented design, optimization, automated testing, and packaging.
- Hands-on experience deploying and scaling AI/ML services on AWS, Azure, or GCP with containers, serverless systems, and infrastructure as code.
- Proven experience mentoring software engineers, shaping system design, and leading cross-team technical initiatives.
- Exceptional ability to explain complex technical subjects and influence technical direction.
- Bachelor's degree in Engineering, Computer Science, or equivalent.
- Experience in product engineering organizations is preferred.
- Preferred experience includes Databricks, PySpark, Spark, Airflow, Delta Lake, ML lifecycle tools, MLOps, Streamlit, Dash, Plotly, secure cloud design, IAM, encryption, compliance frameworks, and AI/ML community or open-source contributions.
Benefits
- Health, life, and disability insurance, retirement savings plans, a discounted employee stock purchase program, paid holidays, family leave, and company-wide wellness days.
- Flexible work accommodations supporting work/life harmony.
- Volunteerism and sustainability programs and an inclusive global community.
- Career progression planning with dedicated monthly learning and development time.
- Business Resource Groups open to all employees.
Tech Stack
Apache AirflowApache SparkAWSAzureDatabricksDjangoDockerFastAPIFlaskGoogle Cloud PlatformHugging Face TransformersKubernetesMLflowPythonTerraform
Categories
About FactSet
FactSet builds a financial data and analytics platform used by asset managers, investment banks, hedge funds, and wealth managers for research, portfolio management, trading, and risk. Its products include the FactSet workstation, data feeds and APIs, and workflow tools like OMS/EMS, sold primarily via subscription licensing. Founded in 1978 and headquartered in Norwalk, Connecticut, FactSet is a public company listed on the NYSE (ticker: FDS).