Senior Data Scientist

Experience
: years

Salary
: INR / year (based on experience)

Expected Notice Period
: 30 Days

Shift
: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type
: Office (Noida)

Placement Type
: Full Time Permanent position(Payroll and Compliance to be managed by: Threat Modeler Software Inc)

**(*Note: This is a requirement for one of Uplers' client - A cybersecurity company streamlining secure-by-design threat modeling.)

**What do you need for this opportunity?

Must have skills required:
Data Scientist, Generative AI, LLM, Mlops & deployment, Model evaluation & tuning, AWS, Azure, Docker, GCP, Kubernetes, Machine Learning, NLP, Python

A cybersecurity company streamlining secure-by-design threat modeling. is Looking for:*
*"With $60M in fresh funding, this Cybersecurity Company is scaling fast
Role Summary
As a
Senior Data Scientist – AI
, you will lead the design and development of machine learning and generative AI models that enhance our platform. You will work closely with engineers, product managers, and cybersecurity SMEs to innovate how we analyze architectures, assess risks, and automate threat intelligence. This is a hands-on, highly strategic role that requires

both technical depth and product insight.

Key Responsibilities

• Design and implement ML and NLP models for use in analysis, pattern recognition, and AI-powered automation.
• Build and evaluate generative AI models (e.g., LLMs or RAG pipelines) to automate threat model generation and risk recommendations.
• Collaborate with product and engineering to align AI solutions with customer pain points and business goals.
• Conduct data discovery, wrangle large security and architecture datasets, and ensure data qualit for training and inference.
• Lead experiments, performance tuning, and model deployment using MLOps best practices.
• Develop reusable components and contribute to internal AI frameworks and libraries.
• Interpret and communicate complex data science results to non-technical stakeholders.
• Mentor junior data scientists and help define the future AI roadmap at ThreatModeler.

Required Qualifications

• 5+ years of industry experience in data science, machine learning, or AI development, preferably in enterprise software or cybersecurity.
• Advanced degree (MS or PhD) in Computer Science, Data Science, Statistics, or a related field.
• Strong experience in NLP, LLMs (e.g., OpenAI, Cohere, Anthropic), and transformer architectures.
• Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face).
• Deep understanding of model evaluation, bias/fairness, data preprocessing, and statistical analysis.
• Familiarity with cloud environments (AWS/GCP/Azure) and containerized model deployment (Docker, Kubernetes).
• Experience working with graph-based models, threat intelligence, or security ontologies is a strong plus.

Preferred Qualifications

• Experience with MLOps tools (MLflow, Vertex AI, SageMaker).
• Understanding of threat modeling methodologies
• Background in building SaaS AI solutions for large-scale enterprise clients.

How to apply for this opportunity?

• Step 1: Click On Apply And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview

About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you