Role
Job Description
About the role
We are looking for a Senior Data Scientist with 5 to 7 years of experience to lead the development and deployment of scalable machine learning models. You will bridge the gap between experimental research and production-grade software, ensuring that our ML pipelines are robust, efficient, and deliver measurable business value. This is an onsite role requiring a strong grasp of the end-to-end ML lifecycle, from data engineering to model monitoring.
Responsibilities
Design and implement end-to-end machine learning pipelines to solve complex business problems.
Develop and tune deep learning architectures to improve model accuracy and inference speed.
Build and maintain MLOps workflows for automated retraining, versioning, and deployment.
Write high-performance Python code and optimize complex SQL queries for large-scale data extraction.
Collaborate with engineering teams to integrate models into production environments via APIs.
Monitor model performance in production and implement drift detection mechanisms.
Conduct rigorous A/B testing to validate the impact of new model iterations.
Required skills
Advanced proficiency in Python and SQL for data manipulation and model development.
Strong experience with Deep Learning frameworks such as PyTorch or TensorFlow.
Proven track record of implementing MLOps tools for model orchestration and tracking.
Deep understanding of supervised and unsupervised Machine Learning algorithms.
Experience managing the full ML lifecycle from data ingestion to production deployment.
Nice to have
Hands-on experience with Generative AI, LLMs, and prompt engineering.
Experience with vector databases like Pinecone or Milvus.
Familiarity with cloud platforms like AWS or Azure for ML hosting.
What success looks like
Deployment of production-ready models that meet or exceed defined KPIs within the first six months.
Reduction in model deployment time through the implementation of automated MLOps pipelines.
Successful transition of experimental prototypes into scalable, low-latency production services.
Skills
What you bring
Must have