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Ericsson
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Machine Learning Engineer

Machine Learning Engineer

Ericsson

10 - 15 years

35 - 40 Lacs

Kolkata

Posted:2 days ago| Platform:

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Skills Required

Automation Version control GIT NoSQL GCP Machine learning Network security Infrastructure SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

About this opportunity:

We are looking for a Senior Machine Learning Engineer with 10+ years of experience to design, build, and deploy scalable machine learning systems in production. This is not a data science role we are seeking an engineering-focused individual who can partner with data scientists to productionize models, own ML pipelines end-to-end, and drive reliability, automation, and performance of our ML infrastructure.

You ll work on mission-critical systems where robustness, monitoring, and maintainability are key. You should be experienced with modern MLOps tools, cloud platforms, containerization, and model serving at scale.

What you will do:

Design and build robust ML pipelines and services for training, validation, and model deployment.
Work closely with data scientists, solution architects, DevOps engineers, etc. to align the components and pipelines with project goals and requirements. Communicate deviation from target architecture (if any).
Cloud Integration: Ensuring compatibility with cloud services of AWS, and Azure for enhanced performance and scalability
Build reusable infrastructure components using best practices in DevOps and MLOps.
Security and Compliance: Adhering to security standards and regulatory compliance, particularly in handling confidential and sensitive data.
Network Security: Design optimal network plan for given Cloud Infrastructure under the E// network security guidelines
Monitor model performance in production and implement drift detection and retraining pipelines.
Optimize models for performance, scalability, and cost (e.g., batching, quantization, hardware acceleration).
Documentation and Knowledge Sharing: Creating detailed documentation and guidelines for the use and modification of the developed components.

The skills you bring:

Strong programming skills in Python
Deep experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost).
Hands-on with MLOps tools like MLflow, Airflow, TFX, Kubeflow, or BentoML.
Experience deploying models using Docker and Kubernetes.
Strong knowledge of cloud platforms (AWS/GCP/Azure) and ML services (e.g., SageMaker, Vertex AI).
Proficiency with data engineering tools (Spark, Kafka, SQL/NoSQL).
Solid understanding of CI/CD, version control (Git), and infrastructure as code (Terraform, Helm).
Experience with monitoring/logging (Prometheus, Grafana, ELK).

Good-to-Have Skills

Experience with feature stores (Feast, Tecton) and experiment tracking platforms.
Knowledge of edge/embedded ML, model quantization, and optimization.
Familiarity with model governance, security, and compliance in ML systems.
Exposure to on-device ML or streaming ML use cases.
Experience leading cross-functional initiatives or mentoring junior engineers.

Primary country and city: India (IN) || Bangalore

Req ID: 770160

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Machine Learning Engineer