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Urgent! Data Scientist Job Opening In Pune – Now Hiring AppZen
Role: Data Scientist
About Us:
AppZen is the leader in autonomous spend-to-pay software.
Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions.
It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend.
Global enterprises, including one-third of the Fortune 500, use AppZen’s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses.
To learn more, visit us at .
About the role:
We are looking for experienced Data Scientists with strong Python expertise to join our growing AI/ML team.
You’ll collaborate with a world-class group of machine learning engineers and scientists working on cutting-edge NLP, document understanding, and enterprise automation use cases.
Key Responsibilities
Design, build, and evaluate models for NLP, document extraction, classification, and generative tasks.
Develop end-to-end ML pipelines from data preprocessing to model inference and monitoring.
Work on productionizing models including model packaging, API integration, and deployment using Docker/Kubernetes.
Analyze model behavior, debug Python code and optimize performance in large-scale environments.
Translate prototypes into scalable, production-grade ML services, with a focus on reliability and performance.
Contribute to model and system monitoring, logging, and performance optimization.
Collaborate with product managers and engineering teams to turn business requirements into ML-driven product features.
Stay current with research and advancements in transformer-based architectures, LLMs (e.g., GPT, BERT), and generative AI techniques.
Must-Have Qualifications :
3–5 years of professional experience in Python, with strong debugging, profiling, and performance optimization skills.
Solid understanding of python data structures, algorithms, and software engineering best practices in ML development.
Hands-on experience with NLP and modern ML frameworks like PyTorch, TensorFlow, or HuggingFace Transformers.
Applied experience with transformer models, LLMs, or generative AI in real-world scenarios.
Experience with model evaluation, including designing meaningful metrics, tracking model drift, and optimizing performance in production.
Ability to manage multiple priorities in a fast-paced and collaborative environment.
B.E./B.Tech or higher in Computer Science, Engineering, or a related technical field.
Nice-to-Haves:
Experience building and deploying containerized ML services with Docker and CI/CD pipelines.
Skilled in designing and consuming RESTful Python APIs (e.g., FastAPI, Flask).
Experience with cloud services, particularly AWS (S3, SQS, etc.).
Familiarity with databases such as PostgreSQL and Redis
Strong grasp of classical ML algorithms such as Logistic Regression, Random Forests, and XGBoost.
Ability to choose between heuristic, rule-based, and model-driven solutions pragmatically (e.g., regex vs ML).
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Unlock Your Data Scientist Potential: Insight & Career Growth Guide
Real-time Data Scientist Jobs Trends in Pune, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Scientist in Pune, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 152987 jobs in India and 4754 jobs in Pune. This comprehensive analysis highlights market share and opportunities for professionals in Data Scientist roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! AppZen is currently hiring and seeking a Data Scientist to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Scientist Jobs Pune.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at AppZen adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Scientist Jobs India varies, but the pay scale is rated "Standard" in Pune. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Scientist typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Data Scientist, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Scientist interview at AppZen, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the AppZen's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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