We are looking for a highly skilled Machine Learning Engineer with strong hands-on expertise in Computer Vision, Natural Language Processing (NLP), and/or Generative AI to design, build, and deploy scalable AI solutions. The ideal candidate will combine deep technical knowledge with the ability to translate complex ML concepts into meaningful business outcomes.

This role involves close collaboration with data scientists, engineers, product teams, and business stakeholders to deliver production-grade machine learning systems.

Key Responsibilities :

- Design, develop, and deploy end-to-end machine learning and deep learning models for real-world business problems.

- Build and optimize solutions across Computer Vision, NLP, and Generative AI use cases.

- Develop production-ready ML pipelines including data preprocessing, feature engineering, training, evaluation, and inference.

- Work with large-scale datasets and ensure model performance, scalability, and reliability.

- Deploy and manage ML solutions on cloud platforms (AWS, Azure, or GCP).

- Integrate ML models into applications and business workflows.

- Collaborate with cross-functional teams to translate business requirements into ML solutions.

- Communicate technical findings, trade-offs, and outcomes to both technical and non-technical stakeholders.

- Monitor and continuously improve deployed models for accuracy, performance, and drift.

- Stay updated with the latest research and advancements in AI/ML technologies.

Experience Required :

- 6+ years of experience in Machine Learning / AI roles

Skills Required :

- Machine Learning, Deep Learning, AI

Required Skills & Qualifications :

Technical Skills :

- Strong hands-on experience in Computer Vision, NLP, and/or Generative AI (industry, research, or project-based).

- Proficiency in Python.

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

1. TensorFlow

2. PyTorch

3. OpenCV

4. spaCy

- Experience working with cloud-based AI/ML services on AWS, Azure, or GCP.

- Experience building and deploying scalable, production-grade ML solutions.

Certifications :

- GCP Professional Machine Learning Engineer Certification (mandatory, not older than 1 year).

Education :

- Masters or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Soft Skills & Competencies :

- Strong ability to bridge technical solutions with business impact.

- Excellent communication and presentation skills.

- Ability to explain complex ML concepts to non-technical stakeholders.

- Strong problem-solving and analytical skills.

- Collaborative mindset with experience working in cross-functional teams.

Preferred Experience (Good to Have) :

- Experience deploying ML models using MLOps practices.

- Exposure to model monitoring, versioning, and lifecycle management.

- Experience working with large-scale or real-time ML systems.