Machine Learning Engineer

Job Title 1 : Machine Learning Engineer (Image Modality)

Experience: 2 – 4 Years

Collaboration Duration: 6 Months

Engagement Mode: Remote

Budget: 30,000 - 40,000

Timezone: India

Position Overview

We are seeking a highly motivated and experienced Machine Learning Engineer with a strong focus on image modality to design, develop, and deploy advanced machine learning and deep learning solutions for image-based applications. The role involves contributing across the full ML lifecycle, from data preprocessing to production deployment, while collaborating with cross-functional teams.

Key Responsibilities

- Design, develop, and deploy machine learning and deep learning models for image-based tasks such as classification, object detection, segmentation, super-resolution, and image generation.

- Build and maintain robust image preprocessing and data augmentation pipelines for diverse datasets.

- Implement and fine-tune vision architectures including CNNs, Vision Transformers, diffusion models, and other state-of-the-art computer vision approaches.

- Collaborate closely with data engineers, software developers, product managers, and researchers to define and solve imaging problems.

- Analyze model performance using quantitative metrics and visual diagnostics; identify failure modes and optimization opportunities.

- Optimize models for performance, scalability, and real-time inference, including techniques like quantization and pruning.

- Contribute to production-ready ML pipelines and follow MLOps best practices.

- Stay updated with the latest research in computer vision and propose innovative solutions for business-critical use cases.

Required Skills & Qualifications

- 3+ years of industry experience in Machine Learning / Deep Learning, with a strong focus on image modality.

- Solid understanding of computer vision fundamentals, including convolutional networks, feature extraction, and geometric transformations.

- Strong proficiency in Python.

- Hands-on experience with ML/DL frameworks and libraries:

- PyTorch

- TensorFlow

- OpenCV

- scikit-learn

- Experience training and fine-tuning models on GPU-based infrastructure.

- Strong understanding of model evaluation and cross-validation techniques.

- Experience with image quality and evaluation metrics such as IoU, PSNR, and SSIM.

- Experience with Docker, version control systems, and deploying ML models in production environments.

Preferred / Bonus Skills

- Experience with transformer-based vision models such as ViT, DETR, SAM.

- Exposure to multi-modal learning (e.g., vision-language models).

- Knowledge of synthetic data generation, image annotation tools, and data-centric AI practices.

- Experience with edge deployment or embedded/real-time vision systems.

- Familiarity with MLOps workflows and CI/CD for ML systems.

Technology Stack (Key Skills)

- Python

- PyTorch, TensorFlow

- OpenCV, scikit-learn

- CNNs, Vision Transformers (ViT, DETR, SAM)

- GPU-based training

- Docker & MLOps

- Image metrics: IoU, PSNR, SSIM

Job Title 2 : Senior ML Engineer

Experience: 7+ Years

Location: Remote

Budget: 60,000 - 80,000

Job Summary

We are looking for a highly skilled Senior Machine Learning Engineer with 7+ years of experience in designing, building, and deploying scalable ML solutions. The ideal candidate will work closely with data scientists, product teams, and engineering stakeholders to translate business requirements into production-grade ML systems.

Key Responsibilities

Design, develop, and deploy machine learning models at scale.

Build end-to-end ML pipelines including data preprocessing, model training, validation, and deployment.

Optimize model performance, scalability, and reliability in production environments.

Collaborate with cross-functional teams to integrate ML solutions into products.

Work with large datasets and apply advanced statistical and ML techniques.

Monitor model performance and implement continuous improvement strategies.

Mentor junior engineers and contribute to best practices and ML standards.

Required Skills & Qualifications

7+ years of experience in Machine Learning / Applied AI.

Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).

Experience with data processing tools and libraries (Pandas, NumPy, Spark).

Strong understanding of supervised and unsupervised learning techniques.

Experience deploying ML models using cloud platforms (AWS / Azure / GCP).

Knowledge of MLOps, CI/CD pipelines, model versioning, and monitoring.

Solid understanding of data structures, algorithms, and system design.

Good to Have

Experience with NLP, Computer Vision, or Generative AI.

Exposure to Kubernetes, Docker, and microservices architecture.

Experience working in remote, distributed teams.

Job Type: Contractual / Temporary

Pay: ₹30,000.00 - ₹80,000.00 per month

Work Location: Remote