Design, develop, and deploy AI/ML models and pipelines for production. Integrate AI into product features, preprocess data, perform feature engineering, evaluate and monitor models, optimize performance, and collaborate with cross-functional teams to build scalable, production-ready AI systems.
This role is for one of the Weekday's clients
Salary range: Rs 400000 - Rs 800000 (ie INR 4-8 LPA)
Experience: 2+ yrs
Location: Mumbai
Job Type: full-time
We are looking for a motivated and technically strong AI Engineer to join a fast-growing, product-focused engineering team. The role involves designing, developing, and deploying AI/ML-driven solutions that enhance product intelligence, automation, and user experience. You will work on real-world AI applications, collaborating with cross-functional teams to build scalable and production-ready systems.
This position is ideal for engineers who are passionate about artificial intelligence, machine learning, and building impactful solutions in a fast-paced startup environment.
RequirementsKey Responsibilities
- Design, develop, and deploy AI/ML models and intelligent systems for production use cases.
- Build and optimize machine learning pipelines for data processing, training, and inference.
- Work on integrating AI capabilities into product features and backend systems.
- Analyze large datasets to extract insights and improve model performance.
- Collaborate with product, engineering, and data teams to define AI-driven solutions.
- Fine-tune models and experiment with algorithms to improve accuracy and efficiency.
- Deploy models using scalable cloud-based infrastructure and APIs.
- Monitor model performance, identify issues, and implement continuous improvements.
- Work on data preprocessing, feature engineering, and model evaluation techniques.
- Stay updated with latest AI/ML advancements and apply them to real-world problems.
- Contribute to building scalable, reusable AI components and frameworks.
- 2+ years of experience in AI, Machine Learning, Data Science, or related engineering roles.
- Strong understanding of AI/ML concepts, algorithms, and model development lifecycle.
- Hands-on experience with Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience in building and deploying AI/ML models in production environments.
- Good understanding of data structures, algorithms, and software engineering principles.
- Familiarity with model training, evaluation, and optimization techniques.
- Exposure to cloud platforms (AWS/GCP/Azure) is an added advantage.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to work in a fast-paced, product-driven environment.
- Strong communication skills and ability to collaborate across teams.
- Passion for AI/ML technologies and continuous learning.
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