Senior Machine Learning Engineer
Job Description
Requirements
- 4–6 years of experience in Data Science or ML Engineering
- Strong fundamentals in machine learning, statistics, and data modeling
- Experience in building and deploying ML models
- Proficiency in Python and common ML libraries
- Experience with data pipelines and production systems
- Understanding of model evaluation, feature engineering, and tuning
- Experience in commerce, QCom, or CPG is preferred
- Exposure to demand forecasting, price elasticity, MMM, or promo effectiveness is a plus
Responsibilities
- Build and optimize machine learning models for predictive use cases
- Perform feature engineering, model selection, and tuning
- Work on deploying models into production environments
- Collaborate with cross-functional teams to solve business problems
- Monitor model performance and improve system reliability
- Contribute to scalable ML pipelines and systems
Job Details
Gurugram (Work from Office)
Interview Process
- HR Screening
- Technical Round 1
- Technical Round 2
- Hiring Manager Round
- Final Discussion
More Info
Key Skills
model evaluation
data pipelines
ML libraries
feature engineering
About Company
Skills:
Machine Learning, Nlp, Pytorch, Docker, Rest Apis, Kubernetes, Python, Hugging Face Transformers, RAG, vector databases
Skills:
Tensorflow, Pytorch, Python
Skills:
Machine Learning, Kafka, Sql, MLops, Docker, Spark, Python, Kubernetes, AWS, Ai, anomaly detection, Real-time data processing, Time-series forecasting
Skills:
Machine Learning, Gcp, Pytorch, Apache Spark, Big Data, Azure, Python, Sql, AWS, Deep Learning, Speech NLP, Generative AI
Skills:
Machine Learning, Jax, Deep Learning, Tensorflow, Pytorch, Gcp, Docker, Azure, Kubernetes, Python, Computer Vision, AWS, GANs, Generative AI, Image processing techniques, CNNs, Inpainting methods, VAEs, Image-to-image generation, Diffusion models