Data Scientist
- Cornerstone
- 2 - 7 years
- Hyderabad
- 21 days ago
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Job Description
We are seeking a Data Scientist to join our
innovative data science & generative AI team. The ideal candidate will
possess a strong technical background in data science, machine learning, and
generative AI, combined with fluency in cloud infrastructure and modern data
engineering best practices. In this role, you ll drive the architecture,
design, and implementation of state-of-the-art data and AI solutions that power
our products and services.
In this role you will...
- Collaborate
with team to design, develop, and deploy robust data science and AI
solutions with a focus on generative AI (GenAI) models and frameworks
(e.g., LLMs, diffusion models). - Optimize
and cloud-based infrastructure (AWS preferred - Good to have) for
scalable, reliable, and secure data processing and model deployment. - Develop
and maintain data pipelines, ETL processes, and model training workflows. - Build
and implement CI/CD pipelines for machine learning models and data
applications (e.g., using Jenkins, GitHub Actions, etc.). - Optimize
data storage solutions (e.g., data lakes, SQL/NoSQL databases) for
performance and scalability. - Collaborate
with cross-functional teams, including product, engineering, and business
stakeholders, to deliver impactful AI features and insights. - Monitor
model and system performance, troubleshoot issues, and continuously
improve deployment workflows. - Stay
abreast of advancements in GenAI, MLOps, data science, and cloud
technologies, bringing fresh ideas to the team. - Contribute
to technical documentation and participate in code and design reviews.
You have got what it takes if you
have
- 2+
years of hands-on experience in data science, machine learning
engineering, or GenAI engineering roles.
Proficiency
with at least one programming language used in data science (Python
preferred; experience with Java is a plus). - Experience
in developing and deploying machine learning, deep learning, or Generative
AI models (e.g., LLMs, Transformers, diffusion models). - Exposure
to AWS services (e.g., S3, EC2, Lambda, SageMaker, RDS) or similar cloud
platforms. - Hands-on
experience building CI/CD pipelines (e.g., with Jenkins) for machine
learning and data applications. - Solid
background in SQL and/or NoSQL databases, with experience in data modeling
and performance tuning. - Strong
problem-solving skills and the ability to think critically and creatively
about data and AI-driven challenges. - Excellent
collaboration and communication skills, with a proven ability to work on
cross-functional teams.
An extra dose of awesome if
you have
- Familiarity
with front-end frameworks for AI-powered applications (e.g., React,
Streamlit, Gradio). - Experience
with containerization (e.g., Docker) and orchestration (e.g.,
Kubernetes) for machine learning deployments. - Experience
working in Agile environments. - Prior
exposure to MLOps tools, MLflow, Airflow, or similar workflow
orchestrators.
#LI-Onsite
Job Classification
Industry: Software ProductFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Full Stack Data ScientistEmployement Type: Full timeContact Details:
Company: CornerstoneLocation(s): Hyderabad
Keyskills: Performance tuning Product engineering Front end Data modeling Machine learning Agile Workflow SQL Python Technical documentation
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