Tamil Nadu Sr ml and ai (legacy) chennai Jobs – 12 Open Jobs Today

Sr ML and AI (Legacy) - Chennai
Photon —Chennai, Tamil Nadu
- Doctoral degree
- Computer Science
- Bachelor's degree
Research Scientist-AI/ML
ZF —Chennai, Tamil Nadu
- Doctoral degree
- Computer Science
- Research
Senior Data Scientist - AI/ML
ZF —Chennai, Tamil Nadu
- Doctoral degree
- Computer Science
- Research
Architect - Dotnet
Neurealm —Chennai, Tamil Nadu
- ₹35,00,000 - ₹45,00,000 a year
- Full-time
- Azure
- System design
- Master's degree
Head of IT
Saaki Argus & Averil Consulting —Chennai, Tamil Nadu
- Azure
- Computer Science
- Master's degree
Quick apply
Databricks Solution Architect – Pre Sales
Goavega —Chennai, Tamil Nadu
- Azure
- Master's degree
- SQL
AI Technical Manager
Kumaran Systems —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- DevOps
4d
Data Engineer
Ford Motor Company —Chennai, Tamil Nadu
- Master's degree
- Databases
- SQL
4h
Principal Architect - Product and Platform Engineering
Altimetrik Corp —Chennai, Tamil Nadu
- DevOps
- AWS
- APIs
Software Architect
Ramco Systems —Chennai, Tamil Nadu
- Azure
- System design
- Java
Senior Presales Architect
Presidio Networked Solutions, LLC —Coimbatore, Tamil Nadu
- Hybrid work
- Azure
- Oracle
- DevOps
Pre-Sales Architect
Presidio Networked Solutions, LLC —Coimbatore, Tamil Nadu
- Hybrid work
- Azure
- Oracle
- DevOps

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Sr ML and AI (Legacy) - Chennai

Photon -
Chennai, Tamil Nadu

Apply Now

Job details

Qualifications

TensorFlow
Data mining
Doctoral degree
Computer Science
PyTorch
Spark
NumPy
Pandas
Bachelor's degree
Machine learning
Forecasting
Data analytics
Regression analysis
Fraud prevention and detection
AI
Python
Analytics

Full job description

Summary:

We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms. In this role, you will work closely with product and engineering teams to solve complex business problems, identify data-driven opportunities, and create personalized experiences for customers. You will be responsible for building end-to-end machine learning solutions, implementing models in production, and working with various data frameworks and tools such as Python, Spark, and Databricks.

Key Responsibilities: Analytics Model Development:

Analyze use cases and design appropriate analytics models using statistical and machine learning algorithms tailored to specific business requirements.
Develop machine learning algorithms to drive personalized customer experiences and provide actionable business insights.
Apply expertise in data mining and machine learning techniques, including forecasting, prediction, segmentation, recommendation, and fraud detection.

Data Engineering and Preparation:

Extend and augment company data with third-party data to enrich analytics capabilities.
Enhance data collection procedures to include necessary information for building analytics systems.
Prepare raw data for analysis, including cleaning, imputing missing values, and standardizing data formats using Python data frameworks (e.g., Pandas, NumPy).

Machine Learning Model Implementation:

Implement machine learning models, considering both performance and scalability using tools like PySpark in Databricks.
Design and build infrastructure to facilitate large-scale data analytics and experimentation.
Work with tools like Jupyter Notebooks for data exploration and model development.

What We’re Looking For:

Educational Background: Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A PhD is preferred but not necessary.
Experience:
- At least 5 years of experience in data analytics, with a strong understanding of core statistical algorithms such as classification and regression analysis.
- High-level knowledge of analytics use cases such as language analysis, assortment optimization, promotional planning, dynamic pricing, markdown optimization, labor scheduling, and optimization.
Technical Skills:
- Strong experience with Python-based machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Proficiency in using analytics platforms like Databricks for large-scale data processing.
- At least 4 years of continuous experience with Spark, particularly PySpark implementation.
- Hands-on experience with data processing and analysis tools such as Pandas, NumPy, and Jupyter Notebooks.

Apply Now

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sr ml and ai (legacy) chennai jobs in tamil nadu

Sr ML and AI (Legacy) - Chennai

Research Scientist-AI/ML

Senior Data Scientist - AI/ML

Architect - Dotnet

Head of IT

Databricks Solution Architect – Pre Sales

AI Technical Manager

Data Engineer

Principal Architect - Product and Platform Engineering

Software Architect

Senior Presales Architect

Pre-Sales Architect

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