Senior ML Engineer

3 weeks ago

Ahmedabad, Gujarat, India Infraveo Full time
Job Title: Senior ML Engineer

About the Role:

We are seeking a highly skilled Senior ML Engineer to join our team at Infraveo. As a Senior ML Engineer, you will be responsible for designing, building, and maintaining scalable ML infrastructure using cloud platforms like AWS, Azure, or Google Cloud. Your focus will be on efficient model deployment and management, ensuring seamless updates and scalability.

Key Responsibilities:

* Design and implement CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or CircleCI to automate the integration and deployment of machine learning models.
* Containerize ML applications using Docker and orchestrate deployments with Kubernetes (K8s) to ensure scalability, reliability, and seamless updates.
* Collaborate with data scientists, data engineers, and software engineers to integrate ML models into production systems, ensuring alignment with business objectives.
* Monitor and maintain the performance of ML models in production using monitoring tools like Prometheus, Grafana, or the ELK stack.
* Manage the versioning and lifecycle of ML models using tools like MLflow, DVC, or TFX, ensuring reproducibility, traceability, and compliance.

Requirements:

* Proficiency in Python and SQL for scripting, data manipulation, and programming, using tools like Jupyter Notebooks and Pandas.
* Experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn, for model development and training.
* Hands-on experience with cloud platforms like AWS (SageMaker, Lambda), Azure (ML Studio), or Google Cloud (AI Platform) for deploying and scaling ML models.
* Knowledge of containerization using Docker and orchestration with Kubernetes (K8s) for scalable and automated model deployments.
* Familiarity with CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or CircleCI for automating the deployment and integration of ML models.
* Expertise in data engineering and pipeline creation using technologies like Apache Spark, Apache Airflow, or Kafka for data processing and workflow automation.
* Strong understanding of model monitoring and logging using tools like Prometheus, Grafana, or the ELK stack (Elasticsearch, Logstash, Kibana) to ensure model performance in production.
* Experience with version control using Git/GitHub and model versioning tools like MLflow, DVC, or TFX (TensorFlow Extended).
* Ability to collaborate with cross-functional teams using Agile methodologies and tools like Jira, Slack, or Confluence, aligning ML initiatives with business goals.
* Strong problem-solving and analytical skills for model evaluation, optimization, and addressing deployment challenges, using techniques like A/B testing, hyper parameter tuning, and statistical analysis.

What We Offer:

* 5 Days a week work shift.
* Work from home.
* Ability to adapt to new technologies, tools, and methods in the rapidly evolving MLOps landscape.
* Constant drive to innovate and apply the latest ML research to improve processes and solve complex problems.
* Opportunities for professional growth and development.

How to Apply:

If you are a motivated and experienced Senior ML Engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information].

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