We are hiring for a Machine Learning Engineer role for our client, a technology company.
Key Responsibilities
Design, build, and deploy production-grade machine learning models
Develop scalable data and model training pipelines
Optimize model performance for latency, accuracy, and cost
Collaborate with data scientists to productionize research models
Implement MLOps practices for model monitoring and retraining
Write clean, tested, and maintainable production code
Required Skills
Strong programming skills in Python and ML libraries (TensorFlow/PyTorch/Scikit-learn)
Experience deploying models using Docker/Kubernetes
Understanding of ML pipeline orchestration tools (Airflow/Kubeflow)
Solid grasp of software engineering best practices
Experience with cloud ML services (AWS/GCP/Azure)
Strong problem-solving and system design skills
Valuable to Have
Experience with distributed computing (Spark)
Knowledge of model monitoring tools
Exposure to LLMs and generative AI
About the Opportunity
This is a full time, permanent role with excellent growth prospects. The client offers a collaborative work culture, competitive compensation, and robust learning opportunities.