Responsibilities
- Research and test novel machine learning approaches for analysing large-scale distributed computing applications.
- Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy, efficacy, and robustness
- Work closely with other functional teams to integrate implemented systems into the SaaS platform
- Suggest innovative and creative concepts and ideas that would improve the overall platform
Qualifications
The ideal candidate must have the following qualifications:
- 5 + years experience in practical implementation and deployment of large customer-facing ML based systems.
- MS or M Tech (preferred) in applied mathematics/statistics; CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills
- In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms
- Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization
- Experience in working on modeling graph structures related to spatiotemporal systems
- Programming skills in Python is a must
- Experience in developing and deploying on cloud (AWS or Google or Azure)
- Good verbal and written communication skills
- Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow
Most importantly, you should be someone who is passionate about building new and innovative products that solve tough real-world problems.
Location
Chennai, India

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- Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
- Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
- Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
- Support self-service analytics by enabling governed data products and semantic layers.
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- Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.
Ideal Candidate
- Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
- 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
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validating designs through correlation with testing data.
You will work closely with design, avionics, manufacturing, and flight-test teams to ensure robust,
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enhancement.
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"RAP - Rapid Acceleration Partners" provides practical AI solutions for digital business transformation. Intending to democratize AI, RAP has developed RAPFlow - an AI orchestration platform for building content intelligence solutions and RAPBot - an RPA tool for end-to-end automation. RAP’s vision is to provide a unified Intelligent Process Automation platform centered around Computer Vision and Natural Language Processing, combining it with RPA.
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Job type : Permanent
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