Skip to main content
Upload your CV and find your next job on Indeed!

Deep Learning Engineer jobs

Sort by: -
    • Solid understanding of machine learning algorithms, statistical modeling, and supervised/unsupervised learning techniques.
    • Experience building systems based on machine learning and/or deep learning.
    • Strong working knowledge of deep learning, and experience utilizing theoretical and…
    • Design and train deep learning models for medical imaging, diagnostics, and predictive healthcare analytics.
    • Full-time | Hybrid/Remote.
    • Discover the deep learning techniques required to build computer vision applications.
    • Artificial Intelligence and Computer Vision, OpenCV, Working knowledge of…
    • The ideal candidate will have strong expertise in machine learning, statistical modeling, healthcare data analysis, and MLOps, with a deep understanding of U.S.…
    • Utilize cutting-edge DL techniques to develop advanced algorithms for neural rendering using Python and popular deep learning frameworks.
    • Experience with deep learning frameworks including TensorFlow and other machine learning libraries.
    • Experience in building, deploying, and improving machine…
    • Solving complex data problems using deep learning techniques in computer vision OR Natural Language processing.
    • Meet project requirements and timelines.
    • Actionable Insights: Work with domain experts to ensure model outputs are not just "scores," but clear, actionable steps for field engineers.
    • We are hiring experienced Machine Learning Engineers to design, train, optimize, and deploy Small Language Models (SLMs) for enterprise AI applications.
  • View similar jobs with this employer
    • 5+ years of experience in machine learning engineering, software engineering, or related operational roles.
    • You will bridge the gap between core AI research and…
    • We are looking for a seasoned Machine Learning Engineer with deep expertise in deep learning to design and build production-grade models in the speech/audio and…
    • Proficiency in Python and experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
    • Research and implement cutting-edge techniques in deep learning…
    • Build the fine-tuning and learning pipeline.
    • Turn LLM usage into a cost-efficient system.
    • Build compounding intelligence across accounts.
    • Have a proven track record of implementing optimization passes for efficient lowering of deep learning and high performance computing algorithms on the Quadric…

People also searched:

pytorch fresher
production engineer
service engineer
training
engineer fresher
engineering
mechanical
mechanical engineer
mechanical engineering

Job Post Details

Machine Learning Engineer - job post

Agnisys Technology Pvt. Ltd
Noida, Uttar Pradesh
₹3,60,020.77 - ₹15,95,226.79 a year

Job details

Pay

  • ₹3,60,020.77 - ₹15,95,226.79 a year

Job type

  • Full-time

Location

Noida, Uttar Pradesh

Benefits

Pulled from the full job description

  • Health insurance
  • Work from home

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 2 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
  • Work from home

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

Let Employers Find YouUpload Your Resume