Up Machine learning engineer 4 Jobs – 39 Open Jobs Today

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- ₹3,60,020.77 - ₹15,95,226.79 a year
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
- Health insurance
Quick apply
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Machine Learning Engineer

Agnisys Technology Pvt. Ltd
Noida, Uttar Pradesh

Quick apply

Job details

Full-time
₹3,60,020.77 - ₹15,95,226.79 a year
10 days ago

Benefits

Health insurance

Qualifications

TensorFlow
Doctoral degree
Computer Science
Software deployment
Master's degree
Math
Bachelor's degree
Machine learning
Natural language processing
Data science
Clustering
Communication skills
Python

Full job description

Overview:
As a Machine Learning Engineer at Agnisys, you will play a crucial role in designing, developing, and deploying machine learning models, particularly in the field of Natural Language Processing (NLP). The ideal candidate should have a strong foundation in mathematical concepts of ML algorithms and hands-on experience with transformer architectures.

Responsibilities

1. Mathematical Proficiency

Demonstrate a solid understanding of mathematical concepts underlying machine learning algorithms.
Apply mathematical principles to design and optimize machine learning models.
Good understanding of Supervised Learning algorithms like Logistic Regression, Linear Regression, SVM, Decision Trees, Ensemble Techniques (Bagging, Boosting), etc.
Experience with Unsupervised Learning algorithms, such as clustering (k-means, hierarchical clustering).

2. NLP Expertise

Possess practical experience in working with NLP technologies.
Showcase a deep understanding of transformer architecture and its applications in NLP tasks.

3. Advanced Concepts

Familiarity with advanced concepts such as prompt engineering, retrieval augmented generation, and reinforcement learning is highly desirable.
Proactively stay updated on the latest advancements in ML, including Deep Neural Networks (MLP, CNN, LSTM, GRUs), and incorporate relevant techniques into projects.

4. Deployment Experience

Have a proven track record of deploying machine learning models into production environments.
Ensure scalability, reliability, and maintainability of deployed ML systems.

Qualifications

Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, or a related field.
Minimum 4 years of professional experience in Machine Learning, NLP, or related domains.
Solid understanding of machine learning algorithms, statistical modeling, and supervised/unsupervised learning techniques.
Hands-on experience with NLP technologies, with a focus on transformer architectures.
Familiarity with prompt engineering, retrieval augmented generation, and reinforcement learning is a plus.
Proven experience in deploying machine learning models in production.
Strong programming skills in languages such as Python, TensorFlow, and PyTorch.
Excellent problem-solving and communication skills.

Job Type: Full-time

Pay: ₹360,020.77 - ₹1,595,226.79 per year

Benefits:

Health insurance

Application Question(s):

How many years of experience do you have specifically in Machine Learning and NLP roles?
Which tools and technologies have you used for ML/NLP?
Can you briefly describe one NLP project you’ve worked on and your role in it?
Have you worked on transformer models, prompt engineering, or RAG-based systems?
Have you deployed any ML models in production? If yes, in what environment?

Work Location: In person

Quick apply

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