Ka Applied ai ml associate Jobs – 31 Open Jobs Today

Senior Data Scientist – AI & Data Platforms
ITOrizon —Bengaluru, Karnataka
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Senior Data Scientist – AI & Data Platforms

ITOrizon -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

TensorFlow
Statistics
Azure
Oracle
Internet of things
PyTorch
Software deployment
NumPy
NoSQL
Git
Databases
SQL
Pandas
AWS
Machine learning
Supply chain analytics
Deep learning
Azure Certification
SciPy
Forecasting
Natural language processing
ETL
Data science
Manufacturing
Clustering
AI
Communication skills
Python
Analytics

Full job description

Position title

Senior Data Scientist – AI & Data Platforms

Description

About Us

ITOrizon is a global consulting and technology company that helps enterprises design, implement, and optimize complex supply chain and digital transformation initiatives. Headquartered in Atlanta, USA, with offices in India (Bengaluru) and the UAE (Sharjah), we partner with global clients across retail, manufacturing, logistics, and distribution sectors.

We combine deep domain expertise with modern technology to deliver practical, scalable solutions. Our teams work across strategy, implementation, and managed services — helping organizations adopt leading platforms such as Oracle, Manhattan, Blue Yonder, and our next-generation composable enterprise platform, Karolium.

Role Overview

We are looking for a Senior Data Scientist to design, build, and scale AI/ML solutions powering
ITOrizon’s platforms and customer-facing products. This is a Python-first role focused on developing production-grade machine learning systems while working within a multi-language enterprise ecosystem. You will collaborate with data engineers, platform teams, and business stakeholders to deliver scalable, explainable, and impactful AI solutions.

Key Responsibilities

Design, develop, and deploy machine learning and statistical models for enterprise use cases
Perform data exploration, feature engineering, and model evaluation on structured and unstructured data
Build predictive, prescriptive, and descriptive analytics solutions
Work with large-scale datasets, real-time data pipelines, and cloud data platforms
Collaborate with engineering teams to productionize models using MLOps practices
Develop and optimize models across:
o Classical ML (regression, classification, clustering)
o Time-series forecasting & anomaly detection
o Deep learning & NLP
Ensure model performance, scalability, explainability, and reliability
Implement model monitoring, versioning, and lifecycle management
Contribute to AI architecture, experimentation frameworks, and innovation initiatives
Stay updated with AI/ML and GenAI advancements and apply them to real-world problems

Required Experience & Skills

Core Data Science & Machine Learning

Strong hands-on expertise in Python (mandatory)
Experience with:
- NumPy, Pandas, Scikit-learn, SciPy
Solid understanding of:
- Statistics, probability, linear algebra
Hands-on experience with:
- Regression, classification, clustering
- Time-series forecasting, anomaly detection
Experience with deep learning frameworks:
- TensorFlow / PyTorch

Data Engineering & Platforms

Experience with SQL and NoSQL databases
Understanding of ETL/ELT pipelines and feature engineering workflows
Hands-on exposure to cloud platforms (AWS / Azure)
Experience with:
- Model deployment
- Monitoring & versioning
- MLOps practices

Engineering & Collaboration

Strong coding practices and version control (Git)
Ability to translate business problems into ML solutions
Comfortable working in multi-language enterprise environments (Python-first mindset)
Strong communication and stakeholder collaboration skills

Preferred Certifications

AWS Certified Machine Learning – Specialty
Microsoft Certified: Azure Data Scientist Associate
Google Professional Machine Learning Engineer
TensorFlow Developer Certificate

Good-to-Have Skills

Exposure to GenAI, LLMs, RAG, Vector Databases, Prompt Engineering
Experience with real-time/streaming data or IoT analytics
Familiarity with supply chain, manufacturing, or operations analytics
Understanding of data governance, privacy, and responsible AI

Qualifications

5+ years of hands-on experience in data science and applied machine learning
Proven experience building production-grade ML systems
Strong expertise in Python-based AI/ML development
Experience taking models from experimentation to production
High learning agility and adaptability
Passion for AI-driven problem solving and continuous learning

Why Join Us?

Work on enterprise-scale AI and data platforms
Be part of building AI-first, cloud-native solutions
Exposure to GenAI, real-time analytics, and cutting-edge ML use cases
Collaborative, innovation-driven work environment

How to Apply:

Email your Resume to [email protected]

Hiring organization

Employment Type

Full-time

Experience

5+ Years

Role Category

Data Scientist

Role

Senior

Job Location

Bangalore, India, India

Date posted

April 8, 2026

Apply Now

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applied ai ml associate jobs in ka

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