Work locations : Bangalore or Gurgaon only.

Shift : Normal shift, support upto 10 pm IST

WFO, 3-4 days from client location

Here is the detailed JD,

Responsibilities:
- Lead the design and implementation of advanced machine learning and generative AI models for large-scale AI projects.
- Collaborate with data scientists and software engineers to build and deploy scalable, production-grade ML and GenAI solutions.
- Drive the end-to-end deployment of machine learning and GenAI models, ensuring seamless integration into production environments and monitoring their performance post-deployment.
- Conduct in-depth data analysis and feature engineering to extract meaningful insights from complex, high-volume datasets.
- Optimize and fine-tune machine learning and generative AI models to enhance accuracy, efficiency, and performance.
- Stay current with the latest advancements in machine learning, generative AI (such as LLMs, diffusion models, and GANs), and apply them to improve existing systems.




- Work with cross-functional teams to define project requirements and deliver high-quality, innovative AI solutions on schedule.

Requirements:
- Bachelor s or master s degree in computer science, Data Science, or a related field.
- 7 10 years of skilled experience in data science, machine learning, or AI-related roles.
- Hands-on experience with AWS Cloud Stack.
- Expert-level proficiency in Python and experience with machine learning and GenAI libraries such as Hugging Face Transformers, or scikit-learn.
- Strong coding skills, including robust machine learning code and version control (preferably Git).
- Experience across the project lifecycle, from business analysis to deployment.
- Experience working with databases (e. g. , SQL).
- Deep understanding of machine learning, generative AI (LLMs, NLP, GANs).
- Proven track record with large-scale machine learning projects, and distributed computing frameworks
- Skilled in data manipulation, preprocessing, and feature engi

📌 Data Scientists (Gurugram)
🏢 Kastech
📍 Gurugram