Senior ML Engineer

3 - 8 years

6 - 10 Lacs

Posted:1 month ago| Platform: Naukri logo

Apply

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a

Machine Learning Engineer

with a strong background in

AI/ML

techniques and expertise in

computer vision

. The ideal candidate will have experience with model

fine-tuning

, working with pre-trained models, and deploying machine learning solutions at scale. You will be responsible for developing, optimizing, and fine-tuning ML models for various AI-powered applications, including image and video analysis, object detection, and more.

 

Key Responsibilities:

  • Design, build, and fine-tune machine learning models for

    computer vision

    applications, such as object detection, segmentation, image classification, and scene understanding.
  • Leverage pre-trained models (e.g.,

    CNNs, transformers, YOLO

    , etc.) and perform

    fine-tuning

    to adapt them to specific use cases.
  • Optimize model performance by implementing cutting-edge techniques in transfer learning, regularization, and hyperparameter tuning.
  • Work closely with data scientists, engineers, and product teams to deliver AI solutions that meet business requirements.
  • Develop scalable solutions and deployment pipelines to operationalize machine learning models.
  • Maintain a strong focus on the efficiency of models, ensuring high speed and low latency in production environments.
  • Stay up-to-date with the latest trends and technologies in AI, machine learning, and computer vision, applying this knowledge to improve existing solutions.
  • Conduct rigorous evaluation of models using relevant metrics and implement strategies for performance improvement.
  • Troubleshoot and resolve model-related issues in production environments.

Required Qualifications:

  • Bachelor's/Master's/PhD in Computer Science

  • 3+ years of experience

    in machine learning or deep learning, with a focus on

    computer vision

    .
  • Expertise in

    model fine-tuning

    , transfer learning, and working with pre-trained models (e.g., ResNet, VGG, EfficientNet, etc.).
  • Strong proficiency in

    AI/ML frameworks

    such as TensorFlow, PyTorch, Keras, or similar.
  • In-depth understanding of

    deep learning architectures

    (e.g., CNNs, RNNs, transformers).
  • Familiarity with vision-specific tasks such as

    image classification

    ,

    object detection

    ,

    semantic segmentation

    , and

    image generation

    .
  • Hands-on experience with

    training large models

    and optimizing them for performance and resource constraints.
  • Knowledge of data preprocessing, augmentation, and labeling techniques for vision tasks.
  • Proficiency in programming languages such as

    Python, C++,

    or similar.
  • Strong understanding of model evaluation techniques and metrics for computer vision tasks (e.g.,

    mAP, IoU, AUC

    ).
  • Experience with

    cloud platforms

    (AWS, GCP, Azure) and

    containerization

    technologies like Docker is a plus.

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview
cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

coding practice

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now

RecommendedJobs for You

Hyderabad, Telangana, India

Chennai, Tamil Nadu, India

thiruvananthapuram, kerala

Gurugram, Haryana, India