Tamil Nadu Mining engineering Jobs – 93 Open Jobs Today

Apprentice - 2
Viavi Solutions —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Master's degree
AI/ML Developer
CloudData Technologies —Chennai, Tamil Nadu
- Full-time
- B.Sc
- Java
- Master's degree
Quick apply
3d
Data Scientist
Shell Energy —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Salesforce
Manager - Strategic Sourcing (Casting Forging)
Howden Air and Gas India Private Limited —Chennai, Tamil Nadu
- Microsoft Excel
- PMP
- Engineering
Quick apply
Civil & Structural - Designer / Draughtsman (RCC Specialist)
M. N. Dastur & Company (P) Ltd —Chennai, Tamil Nadu
- AutoCAD
- Diploma
Manager - Technical Services & OEMs
Molygraph Lubricants —Chennai, Tamil Nadu
- Email
- B.Sc
- Engineering
- Master's degree
Data Scientist
Shell —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Salesforce
Senior Crusher Operator
VEERA BLUE METALS —Tirumangalam, Madurai, Tamil Nadu
- ₹20,000 - ₹30,000 a month
- Full-time
- Civil engineering
- Project management
- Bachelor's degree
- Commuter assistance
- Cell phone reimbursement
Quick apply
4d
Senior Purchasing Engineer
Eriez —Chennai, Tamil Nadu
- Full-time
- ERP systems
- Bachelor's degree
- Manufacturing
Quick apply
Demand Planning & SIOP Leader
FLSmidth, Inc. —Chennai, Tamil Nadu
- Full-time
- Master's degree
- Analysis skills
- Bachelor's degree
Data Science Intern
MercuryMinds —Chennai, Tamil Nadu
- From ₹1,000 a month
- Full-time
- Software troubleshooting
- English
- Master's degree
Quick apply
Business Intelligence Developer
Bradken —Coimbatore, Tamil Nadu
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
6d
Proposal Engineer - Thickening
FLSmidth, Inc. —Chennai, Tamil Nadu
- Full-time
- Microsoft Access
- Bachelor's degree
- Health insurance
- Paid time off
2d
System Engineer - HMI
GE Vernova —Chennai, Tamil Nadu
- Full-time
- Microsoft Access
- System design
- Windows
Python / Data Science - Architect
Career Soft Solutions —Chennai, Tamil Nadu
- Databases
- SQL
- Machine learning
Product Configuration Engineer
FLSmidth, Inc. —Chennai, Tamil Nadu
- Full-time
- AutoCAD
- CAD
- Assembly
10d
Officer - Field Services
Wabtec —Hosur, Tamil Nadu
- Full-time
- Bachelor's degree
- Diploma
Quick apply
Advanced Process Control Engineer
FLSmidth, Inc. —Chennai, Tamil Nadu
- Full-time
- Up to 50% travel
- Engineering
- SQL
- Health insurance
- Paid time off
Client Success Manager (SaaS)
dss+ —Chennai, Tamil Nadu
- Full-time
- Hybrid work
- Microsoft Powerpoint
- Computer Science
- Engineering
Quick apply
Assistant Manager - Proposals
Chart Industries —Chennai, Tamil Nadu
- B.Sc
- Electrical experience
- Bachelor's degree

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Apprentice - 2

Viavi Solutions -
Chennai, Tamil Nadu

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Job details

Full-time

Qualifications

TensorFlow
Azure
Data mining
Law
Computer Science
Kubernetes
Big data
Software deployment
NumPy
NoSQL
Git
Google Cloud Platform
Master's degree
Databases
SQL
Pandas
AWS
Analysis skills
Docker
Bachelor's degree
Machine learning
Distributed systems
Deep learning
Software development
ETL
Kafka
Data science
Keras
Flask
AI
Communication skills
Python
MySQL
Data Science

Full job description

Summary:

Duties & Responsibilities:

Job Description Summary

We are seeking a motivated, talented Machine Learning Intern to join our team and contribute to AI and ML projects. The internship gives an opportunity to work with experienced Data Engineers, Scientists, gain hands-on in developing and upgrading AI/ML models.
The internship offers the candidate an excellent chance to apply his knowledge and learning on ML algorithms to solve real world problems in Telecom domain around Network Monitoring and troubleshooting, deploying trained models and improve the evaluation scores of the models.

Job Description

Develop production-ready implementations of proposed solutions across different ML and DL algorithms, including testing on customer data to improve efficacy, and robustness.
Research and test novel machine learning approaches for analysing large-scale distributed computing applications. Prepare reports, visualizations, and presentations to communicate findings effectively.
End-to-End ML Ops Lifecycle: Implement and manage the full ML Ops lifecycle using tools such as Kubeflow, MLflow, AutoML, and Kserve for model deployment.
Model Implementation: Develop and deploy the machine learning models using Keras, PyTorch, TensorFlow ensuring high performance and scalability.
Distributed Systems: Run and manage PySpark and Kafka on distributed systems with large-scale, non-linear network elements.
Proficient in Python programming and experienced with machine learning libraries such as Scikit-Learn and NumPy, Pandas.
Good understanding of time series analysis, data mining, text mining, and creating data architectures.
Processing Approaches: Utilize both batch processing and incremental approaches to manage and analyse large datasets. Conduct data preprocessing, feature engineering, and exploratory data analysis (EDA).
Algorithm Experimentation: Experiment with multiple algorithms, optimizing hyperparameters to identify the best-performing models.
Cloud Knowledge: Execute machine learning algorithms in cloud environments, leveraging cloud resources effectively.
Model Retraining: Continuously gather feedback from users, retrain models, and update them to maintain and improve performance, optimizing model inference times.
Network Domain Expertise: Quickly understand network characteristics, especially in RAN and CORE domains, to provide exploratory data analysis (EDA) on network data.
Transformer Architecture: Implement and utilize transformer architectures and have a strong understanding of LLM models.
Interact with a cross-functional team of data scientists, software engineers, and other stakeholders.
Understanding and experience in working with supervised and unsupervised machine learning methods such as regression, neural networks, deep learning, RNN, LSTM, KNN, Naive Bayes, SVM, decision trees, random forest, gradient boosting, ensemble methods, and text mining.
Knowledge of MySQL/No SQL and Big Data ETL Pipelines would be an added advantage

Qualifications

Currently pursuing or recently completed a Bachelor’s/Master’s degree in Computer Science, Data Science, AI, or a related field.
Strong knowledge of machine learning concepts, algorithms, and deep learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
Proficiency in Python and experience with AI/ML libraries such as NumPy, Pandas, Matplotlib, etc.
Hands-on experience with data preprocessing, feature selection, and model evaluation techniques.
Familiarity with SQL and NoSQL databases for data retrieval and manipulation.
Experience with cloud platforms (AWS, Google Cloud, or Azure) is an advantage.
Strong problem-solving skills and ability to work in a collaborative team environment.
Excellent communication and analytical skills.
Previous experience with AI/ML projects, Kaggle competitions, or open-source contributions.
Knowledge of software development best practices and version control (Git).
Understanding of MLOps tools and model deployment techniques (Docker, Kubernetes, Flask, FastAPI).

Pre-Requisites / Skills / Experience Requirements:

Apply Now

Refine Your Search

mining engineering jobs in tamil nadu

Apprentice - 2

AI/ML Developer

Data Scientist

Manager - Strategic Sourcing (Casting Forging)

Civil & Structural - Designer / Draughtsman (RCC Specialist)

Manager - Technical Services & OEMs

Data Scientist

Senior Crusher Operator

Senior Purchasing Engineer

Demand Planning & SIOP Leader

Data Science Intern

Business Intelligence Developer

Proposal Engineer - Thickening

System Engineer - HMI

Python / Data Science - Architect

Product Configuration Engineer

Officer - Field Services

Advanced Process Control Engineer

Client Success Manager (SaaS)

Assistant Manager - Proposals

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