Bengaluru, Karnataka Senior signal processing engineer Jobs – 143 Open Jobs Today

Senior AI Engineer
ZingMind Technologies —Bangalore Corporation Building, Bengaluru, Karnataka
- Up to ₹1,70,000 a month
- Full-time
- Hybrid work
- Microsoft Access
- Master's degree
- SQL
Quick apply
7d
CUSTOMER SERVICE ASSOCIATE IV
TE Connectivity —Bengaluru, Karnataka
- Customer service
- Bachelor's degree
- Travel
- Health insurance
Principal Product Manager (India)
Karat —Bengaluru, Karnataka
- Remote
- English
- Product management
- Communication skills
Quick apply
Senior Software Engineer, AI/ML Computer Vision, Google Cloud
Google —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- System design
7d
Analyst, CEO Office
Avathon —Bengaluru, Karnataka
- Call employer
- Master's degree
- SQL
- Project management
- Health insurance
- Paid time off
Quick apply
Senior Manager, Design Verification Engineering
Analog Devices —Bengaluru, Karnataka
- Full-time
- Java
- Master's degree
- C++
1d
RTL Design Engineer
Chiplogic Technologies —Bengaluru, Karnataka
- Scripting
- Communication skills
- Python
Machine Learning Engineer 4
Adobe —Bengaluru, Karnataka
- Full-time
- Azure
- Master's degree
- AWS
2d
PD Director
Analog Devices —Bengaluru, Karnataka
- Full-time
- Master's degree
- Bachelor's degree
- Travel
Senior AI Developer
Saviynt —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Oracle
- Master's degree
- AWS
Quick apply
Computational Data Science Researcher
Shell Energy —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Research
- Machine learning
Staff Machine Learning Engineer
Bazaarvoice —Bengaluru, Karnataka
- Hybrid work
- AWS
- Machine learning
- AI
Quick apply
SDE II - Multimedia, Hardware Compute Group
ADCI - BLR 14 SEZ —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- C++
Sr Staff/Principal Digital Engineer
Renesas Electronics —Bengaluru, Karnataka
- Full-time
- Hybrid work
- B.Sc
- Master's degree
- Bachelor's degree
Quick apply
Staff Backend Engineer
Bazaarvoice —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Java
- AWS
- Mentoring
- Health insurance
- Paid time off
Quick apply
Computational Data Science Researcher
Shell —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Research
- Machine learning
Sr. Engineer, Design Verification
Renesas Electronics —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Agile
- Electrical Engineering
- Python
Quick apply
Sr Staff Engineer, Design Verification
Renesas Electronics —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Agile
- Electrical Engineering
- Python
Quick apply
Sr Staff Engineer, Digital Design
Renesas Electronics —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Master's degree
- Electrical experience
- Bachelor's degree
Quick apply
Senior Lead Infrastructure Engineer - Risk & Control Management & Data Analysis
JPMorganChase —Bengaluru, Karnataka
- Full-time
- Scripting
- AI
- Banking
12h

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Senior AI Engineer

ZingMind Technologies
Bangalore Corporation Building, Bengaluru, Karnataka

Quick apply

Job details

Full-time
Up to ₹1,70,000 a month
7 days ago

Qualifications

Statistics
Performance tuning
DataStage
Power BI
Microsoft Access
Law
Spark
NumPy
Master's degree
SQL
Pandas
Machine learning
Natural language processing
Unity
ETL
Teradata
Metadata
Data visualization
Clustering
AI
Communication skills
Python

Full job description

Experience ( Relevant) : 10+ Years

Shift Timings : 2pm to 11pm IST

Hybrid : 3 days a week

Start date : ASAP

Top 3 skills which is mandatory :

Please focus on the Databricks AI/ML skills and we can be flexible on the cost for the right resource.

" Target individuals with Databricks Machine Learning or Databricks Generative AI Associate certification "

Position Overview

NTT DATA Americas is seeking a highly skilled Senior Data Engineer to support a Teradata Utilization Analysis engagement, which focuses on analyzing Teradata platform utilization to identify cost-reduction opportunities and deliver a repeatable, log-driven analysis solution.

The ideal candidate combines deep Teradata DBA expertise with hands-on Databricks engineering capability and applied AI/ML skills. The analysis will be performed primarily in Databricks, leveraging DBQL logs, system metadata, and external scheduling/orchestration data sources.

Key Responsibilities

Ingest and validate 18+ months of Teradata DBQL logs including SQL text, object usage, timestamps, user/application IDs, row counts, and steps.

Integrate metadata from Autosys (scheduling), DataStage (orchestration), and MagicWand (observability) to supplement DBQL analysis.

Build end-to-end, log-driven analysis pipelines in Databricks to identify unused datasets, read-only (non-updating) datasets, and unused partitions within active datasets.

Capture and analyze CPU/IO resource usage and workload statistics (ResUsage) to quantify cost-reduction opportunities.

Classify data into cold, warm, and hot tiers; generate heatmaps of date/partition access patterns.

Develop a prioritized recommendation backlog with expected savings, risk levels, and required changes.

Apply AI/ML models or LLM-assisted analysis to detect access pattern anomalies, predict cold data candidates, and automate classification.

Produce and present deliverables: Observation Report, Workshop Notes & Action Log, and Final Readout for customer stakeholders.

Required Skills & Experience

Teradata DBA Skills

Skill / Technology

Min. Experience

Relevance to Work Order

Teradata DBA / Administration

7+ years

Primary platform under analysis; deep knowledge of system internals required

Teradata DBQL (Database Query Logging)

5+ years

Core data source — SQL text, object usage, timestamps, user/app IDs, row counts, steps

Teradata System Views & Space Metadata

5+ years

Object inventory, space analysis, last read/write tracking

Teradata SQL & Performance Tuning

7+ years

Writing complex analytical queries across DBQL and system catalog tables

Teradata ResUsage / Workload Statistics

3+ years

Quantifying CPU/IO cost impact for dataset removal/archival recommendations

Data Classification (hot/warm/cold)

3+ years

Categorizing datasets for tiered storage management recommendations

ETL Pipeline Assessment (DataStage, Autosys)

4+ years

Identifying and recommending decommission of stale ingestion pipelines

Teradata BTEQ / FastExport / TPT

3+ years

Data extraction, log export, and metadata collection utilities

Databricks Engineering Skills

Skill / Technology

Min. Experience

Relevance to Work Order

Databricks Platform (Workspaces, Clusters, Jobs)

4+ years

Core analysis and solution delivery platform for the engagement

Apache Spark (PySpark / Spark SQL)

5+ years

Large-scale log ingestion, transformation, and analytical processing

Delta Lake

3+ years

Building reliable, ACID-compliant data pipelines for log-driven analysis

Databricks Notebooks & Workflows

3+ years

Developing repeatable, shareable analytical notebooks for customer handoff

Python (pandas, numpy, matplotlib)

5+ years

Data wrangling, statistical analysis, and visualization of usage heatmaps

SQL (Spark SQL / ANSI SQL)

7+ years

Analytical querying across large DBQL datasets in Databricks

Unity Catalog / Data Governance in Databricks

2+ years

Organizing deliverable assets and maintaining data lineage within the solution

Dashboarding (Databricks SQL / Power BI)

3+ years

Usage heatmaps, partition access patterns, and recommendation visualizations

AI / ML Skills

Skill / Technology

Min. Experience

Relevance to Work Order

Machine Learning (scikit-learn, MLflow)

3+ years

Anomaly detection on access patterns, predictive cold-data classification

LLM / Generative AI Integration

2+ years

LLM-assisted log interpretation, automated recommendation narrative generation

Feature Engineering on Time-Series Log Data

3+ years

Extracting access frequency, recency, and seasonality signals from DBQL logs

Clustering & Classification Algorithms

3+ years

Unsupervised grouping of datasets by usage behavior for cold/warm/hot tiers

MLflow / Experiment Tracking

2+ years

Tracking model runs for reproducible analysis and customer handoff artifacts

Natural Language Processing (NLP)

2+ years

Parsing and classifying SQL text from DBQL for workload pattern analysis

Data Visualization (Plotly, Matplotlib, Seaborn)

3+ years

Generating usage heatmaps and partition access charts for stakeholder readouts

Preferred Qualifications

Familiarity with DataStage orchestration log parsing

Prior work on data platform cost optimization or cloud migration readiness assessments

Experience working in healthcare payer data environments (HIPAA awareness)

Strong written communication skills for advisory deliverable authoring (Observation Reports, recommendation backlogs)

Pay: Up to ₹170,000.00 per month

Work Location: Hybrid remote in Bangalore Corporation Building, Bengaluru, Karnataka

Quick apply

Refine Your Search

senior signal processing engineer jobs in bengaluru, karnataka

Senior AI Engineer

CUSTOMER SERVICE ASSOCIATE IV

Principal Product Manager (India)

Senior Software Engineer, AI/ML Computer Vision, Google Cloud

Analyst, CEO Office

Senior Manager, Design Verification Engineering

RTL Design Engineer

Machine Learning Engineer 4

PD Director

Senior AI Developer

Computational Data Science Researcher

Staff Machine Learning Engineer

SDE II - Multimedia, Hardware Compute Group

Sr Staff/Principal Digital Engineer

Staff Backend Engineer

Computational Data Science Researcher

Sr. Engineer, Design Verification

Sr Staff Engineer, Design Verification

Sr Staff Engineer, Digital Design

Senior Lead Infrastructure Engineer - Risk & Control Management & Data Analysis

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