Data Science
1 week ago
Role : Data Scientist AIML/Gen AI
Experience : 4+ to 13 Years
Relevant Experience : 2+ Years
Location : Pan India
Mode of Interview - In Person - Bhubaneswar
Date : 25th Oct 2025 (Saturday)
Note : (Scheduled In-Person Only) No Walk-In Interview
Job Description:
Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
- Improve Model accuracy to deliver greater business impact
Estimate business impact due to deployment of model
Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development Python / R / SQL / Cloud data pipelines
Design , develop & deploy Deep learning models using Tensorflow / Pytorch
Experience in using Deep learning models with text, speech, image and video data
Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
- Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
Knowledge of State of the art Deep learning algorithms
Optimize and tune Deep Learnings model for best possible accuracy
Use visualization tools/modules to be able to explore and analyze
outcomes & for Model validation eg: using Power BI / Tableau
Work with application teams, in deploying models on cloud as a service or on-prem
Deployment of models in Test / Control framework for tracking
Build CI/CD pipelines for ML model deployment
Integrating AI&ML models with other applications using REST APIs and other connector technologies
Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
Technology/Subject Matter Expertise
- Sufficient expertise in machine learning, mathematical and statistical sciences
- Use of versioning & Collaborative tools like Git / Github
- Good understanding of landscape of AI solutions cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
- Develop prototype level ideas into a solution that can scale to industrial grade strength
- Ability to quantify & estimate the impact of ML models
Softskills Profile
- Curiosity to think in fresh and unique ways with the intent of breaking new ground.
- Must have the ability to share, explain and sell their thoughts, processes, ideas and opinions, even outside their own span of control
- Ability to think ahead, and anticipate the needs for solving the problem will be important
- Ability to communicate key messages effectively, and articulate strong opinions in large forums
Desirable Experience:
- Keen contributor to open source communities, and communities like Kaggle
- Ability to process Huge amount of Data using Pyspark/Hadoop
- Development & Application of Reinforcement Learning
- Knowledge of Optimization/Genetic Algorithms
- Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
- Optimize and tune deep learning model for best possible accuracy
- Understanding of stream data processing, RPA, edge computing, AR/VR etc
- Appreciation of digital ethics, data privacy will be important
- Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
- Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
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