
Machine Learning Engineer
3 weeks ago
About KeyValue
KeyValue is a product development start-up, building highly scalable web and enterprise class software with a team of engineers specialized in Core Product Development.
We have the single-most vision of being the best product development start-up from India and to reach it, we have a single strategy: That of creating the Best of all Talent Pools and the Best of all Work Environments ever possible
In our belief, every man is truly the owner of his/her work, his craft and can do the best when each sailor sailing on our ship can see the horizon that we all are sailing towards. For us, the best talents are the open-minded, ever-learning and all-embracing ones. We create, live and code on the cloud.
We are looking for a talented and motivated Machine Learning Engineer to join our growing team. In this role, you will play a key part in designing, developing, and deploying machine learning models to solve complex business problems. You will work closely with data scientists, software engineers, and product managers to bring innovative solutions to life.
What you will do:
- Design, develop, and deploy machine learning models for various applications (e.g., recommendation systems, fraud detection, natural language processing)
- Collaborate with data scientists to understand business requirements, translate them into technical specifications, and select appropriate algorithms
- Prepare and clean data for training and evaluation of machine learning models
- Train, test, and evaluate machine learning models to ensure accuracy, efficiency, and scalability
- Monitor and maintain deployed models in production, and identify opportunities for improvement
- Stay up-to-date on the latest advancements in machine learning research and best practices
- Communicate effectively with technical and non-technical audiences to explain complex concepts
What makes you a great fit ?
- 3-7 years of experience in machine learning engineering
- Proven experience in building and deploying machine learning models
- Strong understanding of machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, deep learning)
- Proficiency in Python
- Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Strong understanding of machine learning algorithms and techniques, as well as LLM architecture and functionalities.
- Excellent problem-solving and analytical skills
- Strong communication and collaboration skills
Bonus points:
- Experience with cloud platforms (e.g., AWS, GCP, Azure)
- Experience with MLOps tools and methodologies
- Open-source contributions
If you get to join us, what you get in the process would be invaluable opportunities to solve global problems with your talents and work with some of the most experienced software architects in the Indian IT industry and get mentored by them.
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