Quadratyx is looking for a DevOps Engineer to support our rapidly-growing development organization and
cloud infrastructure. As a company theory we're embracing the total-ownership model with engineers oncall for their own services in a supportive and collaborative environment. The DevOps team is a crucial
partner in building a reliable and scalable product for our customers and a sustainable work environment
for our product and engineering teams
Job / Role Information
Designation
Lead Data Scientist – PhD/Tier 1 | Corporate Experience
Experience
8 to 10 Years
Function
AI & Data Science Enterprise Delivery
Location
Chennai
KEY RESPONSIBILITIES
Delivery & Project Leadership
Translate business goals into sprint-level roadmaps,
Lead design/code reviews; enforce git-flow, CI/CD and documentation standards.
Chair weekly steering meetings; secure production acceptance and SLA sign-off.
Data Science & Engineering
Build ML, NLP and recommender models; oversee feature pipelines and data-quality gates.
Implement full MLOps lifecycle (Docker, Kubernetes, MLflow/Kubeflow); set up drift & latency monitoring.
Design scalable ETL on AWS / Azure / GCP.
Team Leadership & Mentoring
Coach and grow a 4-8-member DS/DE squad via code reviews, pair-programming and brown-bag sessions.
Drive hiring, onboarding and performance reviews; foster a culture of experimentation + production discipline.
Stakeholder & Client Engagement
Act as primary contact for client data-science initiatives, present insights to exec & non-tech audiences.
Support pre-sales with PoCs, effort estimates and Statements of Work.
Working Relationships
Reporting to
Project Manager / Team Lead
Skills/ Competencies Required
Technical Skills
Proficiency with Python (Pandas, NumPy), SQL, and Java.
Experience with LLMs, Lang Chain, and Generative AI technologies.
Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka).
Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders.
Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools.
Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development.
Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly.
Soft Skills
Work in a team/ Independently.
Excellent Written & Verbal Communication Skills
Solid critical thinking and questioning skills.
High degree of flexibility - willing to fill in the gaps rather than relying on others
Strong communication skills, especially in presenting data insights.
Flexibility, problem-solving, and a proactive approach in a fast-paced environment
Bachelor’s Degree in Computer Science, Data Analytics, Engineering, or a related field from a Tier 1 institute or a Ph.D. in a relevant discipline.
Corporate experience is mandatory.
Minimum of 8 to 10 years of experience in data science and data engineering.
Strong critical thinking abilities and the capacity to work autonomously.
Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools High motivation, good work ethic, maturity and personal initiative.
Strong oral and written communication skills.
Quadratyx is an equal opportunity employer - we will never differentiate candidates on the basis of religion, caste, gender, language, disabilities or ethnic group.
Quadratyx reserves the right to place/move any candidate to any company
location, partner location or customer location globally, in the best
interest of Quadratyx business.
