DC2025007 | ML Engineer

Droisys Inc.; Dadri; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Droisys Inc. is looking for a Machine Learning Engineer to design and deploy innovative AI systems. The role requires 2-5 years of experience specializing in Computer Vision and Generative AI. Candidates should possess strong skills in Python and familiarity with frameworks such as TensorFlow and PyTorch. Responsibilities include building machine learning models and optimizing them for production use. This position is based in Dadri, Uttar Pradesh, and offers the opportunity to work on cutting-edge projects in AI.

Qualifications

• 2-5 years of hands-on experience in machine learning engineering focusing on Computer Vision and Generative AI.
• Strong programming skills in Python for data manipulation and model training.
• Expertise in image classification, object detection, and model deployment.

Skills

Machine learning engineering

Computer Vision

Generative AI

Python

Model optimization techniques

DevOps practices

Cloud platforms (AWS, GCP, Azure)

Tools

TensorFlow

PyTorch

Keras

OpenCV

Docker

Kubernetes

Job description

As a Machine Learning Engineer, you will work on designing, developing, and deploying machine learning models that leverageComputer VisionandGenerative AItechniques. You will be responsible for building and improving AI systems that solve real-world problems, driving the next wave of innovation in our products and services.

Required Skills and Qualifications:

2-5 years of hands-on experience in machine learning engineering with a focus onComputer VisionandGenerative AI.

Strong knowledge of machine learning frameworks such as TensorFlow, PyTorch, Keras, or similar.

Expertise inComputer Visiontechniques, including image classification, object detection, segmentation, and tracking.

Hands-on experience withGenerative AImodels such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other deep learning-based generative models.

Solid understanding of computer vision libraries such as OpenCV, scikit-image, or similar.

Experience withmodel optimization techniquessuch as pruning, quantization, and knowledge distillation.

Strong programming skills inPython, with experience in data manipulation (e.g., pandas, NumPy), model training, and evaluation.

Knowledge of NLP, Deep Learning, and/or other AI fields.

Familiarity withDevOpspractices related to machine learning (CI/CD, version control, automated testing).

Familiarity with cloud platforms (AWS, GCP, or Azure) and deployment tools (Docker, Kubernetes, etc.).

Knowledge of reinforcement learning or other advanced AI techniques.

Experience with deploying models to production and managing model lifecycle.

Excellent problem-solving skills, analytical thinking, and a passion for innovation.

Strong communication skills to collaborate with cross-functional teams and explain complex AI concepts clearly.