Python Backend & Data Science Engineer at IIT Madras · Chennai · 0 - 20 years · ₹4L - ₹8L / yr · Raised funding · Posted 11 Jul 2022

Who are we?
Centre for Research on Start-ups and Risk Financing (CREST) has been set up by IIT Madras to provide thought leadership and intellectual impact to the start-up and innovation ecosystem. CREST has embarked on an ambitious mission of becoming one of the top global research centres in the area of start-ups and innovation. The core of CREST is the development of an AI-driven Intelligent
Information Platform that would enable cutting edge research as well as influence policy and practice like never before
With the recent exponential growth in the start-up and innovation ecosystem, new data-driven approaches would play a critical part in sustaining the current growth curve. The objective of CREST would be to become the gold standard of information and intelligence on Innovation, Entrepreneurship and Private Equity investments in India
The Opening
We are currently looking for our next passionate, skilled and motivated Python developer, who can join us immediately. The candidate should
● Be excited about building a next-generation intelligence platform
● Have a can-do attitude and ready for challenges
● Value working with a greatteam - confident, creative and thoughtful people who come together to achieve great things
● Be eager to experiment, learn and bring new things, improving the platform
● Be high on self-belief and enthusiasm to work in a startup-like culture - small team, fast-paced work environment If this is you, we're excited to interact!
As the Data Science Engineer in CREST, you will
● Write reusable code and build libraries for future use
● Establish solid data-pipelines and automate routine tasks
● Develop & deploy custom Machine Learning (ML) models using the latest
research in ML and Natural Language Processing (NLP)
● Build performant applications following best practices, maximizing speed and scalability
● Improve upon the existing codebase mitigating technical debt
● Take ownership of all aspects of the application - architecture, quality and efficiency
Requirements
● Proficient understanding of Python language
● Expertise with data-modelling, data-wrangling & data-mining techniques
● Familiar with Extract-Transform-Load (ETL) processes and hands-on experience with packages like Pandas, Numpy etc
● Experience with data visualisation tools and libraries like Plotly, Seaborn etc
● Good understanding of advanced Statistical and ML techniques on
regression, classification, forecasting etc
● Skilled in NLP and specifically ML applications in NLP like information
extraction, feature engineering, classification, building language models etc
● Should provide direction and mentorship to junior team members
● Bachelor’s or Master’s degree from premier educational institutions
● Minimum 2 years of experience (research or professional) in the
above-mentioned areas
Good to have
● Comfortable with using Command Line and Linux systems
● Experience and knowledge in version control systems like git, svn, etc
● Knowledge in developing & deploying web apps & web APIs with an overall understanding of client-server interactions
● Experience with NoSQL databases like MongoDB
Job type
● Full time, on-site
● Immediate joiner
● Initial appointment for 1 year, it would be renewed subsequently based on performance
Work location
Department of Management Studies, IIT Madras campus, Chennai, Tamil Nadu,
India - 600036
Why work with us?
● Get to interact with the best of the minds. IIT Madras has been ranked as the
top university in India for 5 years in a row
● Be at the forefront of the Entrepreneurial ecosystem in India
● Enormous opportunities for learning

About IIT Madras
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Key Responsibilities
Strong understanding of Machine Learning algorithms (supervised and unsupervised)
Hands-on experience with Deep Learning frameworks (TensorFlow, PyTorch, or similar)
Experience in NLP techniques and libraries (NLTK, spaCy, Hugging Face, etc.)
Solid knowledge of Statistics, probability, and data analysis methods
Proficiency in SQL for querying relational databases
Strong programming skills in Python (or similar languages)
Excellent communication skills with the ability to explain complex concepts simply
Required Qualifications
3+ years of hands-on experience as a Data Scientist or in a similar role.
Strong expertise in classical machine learning and regression modeling.
Solid understanding of statistics, including probability, distributions, hypothesis testing,
and correlation analysis.
Proficiency in Python with libraries such as: scikit-learn pandas NumPy
Experience working with structured/tabular data.
Strong problem-solving and analytical thinking skills.
Ability to clearly explain models and results to non-technical stakeholders.
Description
We’re seeking a highly skilled, execution-focused Senior Data Scientist with a minimum of 5 years of experience. This role demands hands-on expertise in building, deploying, and optimizing machine learning models at scale, while working with big data technologies and modern cloud platforms. You will be responsible for driving data-driven solutions from experimentation to production, leveraging advanced tools and frameworks across Python, SQL, Spark, and AWS. The role requires strong technical depth, problem-solving ability, and ownership in delivering business impact through data science.
Responsibilities
- Design, build, and deploy scalable machine learning models into production systems.
- Develop advanced analytics and predictive models using Python, SQL, and popular ML/DL frameworks (Pandas, Scikit-learn, TensorFlow, PyTorch).
- Leverage Databricks, Apache Spark, and Hadoop for large-scale data processing and model training.
- Implement workflows and pipelines using Airflow and AWS EMR for automation and orchestration.
- Collaborate with engineering teams to integrate models into cloud-based applications on AWS.
- Optimize query performance, storage usage, and data pipelines for efficiency.
- Conduct end-to-end experiments, including data preprocessing, feature engineering, model training, validation, and deployment.
- Drive initiatives independently with high ownership and accountability.
- Stay up to date with industry best practices in machine learning, big data, and cloud-native deployments.
Requirements
- Minimum 5 years of experience in Data Science or Applied Machine Learning.
- Strong proficiency in Python, SQL, and ML libraries (Pandas, Scikit-learn, TensorFlow, PyTorch).
- Proven expertise in deploying ML models into production systems.
- Experience with big data platforms (Hadoop, Spark) and distributed data processing.
- Hands-on experience with Databricks, Airflow, and AWS EMR.
- Strong knowledge of AWS cloud services (S3, Lambda, SageMaker, EC2, etc.).
- Solid understanding of query optimization, storage systems, and data pipelines.
- Excellent problem-solving skills, with the ability to design scalable solutions.
- Strong communication and collaboration skills to work in cross-functional teams.
Benefits
- Best-in-class salary: We hire strong talent and compensate accordingly.
- Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners.
- Continuous learning: Work with a world-class team and stay close to the latest in AI, engineering, and product development.
- High-impact work: Build AI-first systems and products used at scale by global clients.
About Us
Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.
Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.







