Amazon Web Services (AWS)
PythonRole - MLops Engineer
Location - Pune, Gurgaon, Noida, Bhopal, Bangalore
Mode - Hybrid
Role Overview
We are looking for an experienced MLOps Engineer to join our growing AI/ML team. You will be responsible for automating, monitoring, and managing machine learning workflows and infrastructure in production environments. This role is key to ensuring our AI solutions are scalable, reliable, and continuously improving.
Key Responsibilities
- Design, build, and manage end-to-end ML pipelines, including model training, validation, deployment, and monitoring.
- Collaborate with data scientists, software engineers, and DevOps teams to integrate ML models into production systems.
- Develop and manage scalable infrastructure using AWS, particularly AWS Sagemaker.
- Automate ML workflows using CI/CD best practices and tools.
- Ensure model reproducibility, governance, and performance tracking.
- Monitor deployed models for data drift, model decay, and performance metrics.
- Implement robust versioning and model registry systems.
- Apply security, performance, and compliance best practices across ML systems.
- Contribute to documentation, knowledge sharing, and continuous improvement of our MLOps capabilities.
Required Skills & Qualifications
- 4+ years of experience in Software Engineering or MLOps, preferably in a production environment.
- Proven experience with AWS services, especially AWS Sagemaker for model development and deployment.
- Working knowledge of AWS DataZone (preferred).
- Strong programming skills in Python, with exposure to R, Scala, or Apache Spark.
- Experience with ML model lifecycle management, version control, containerization (Docker), and orchestration tools (e.g., Kubernetes).
- Familiarity with MLflow, Airflow, or similar pipeline/orchestration tools.
- Experience integrating ML systems into CI/CD workflows using tools like Jenkins, GitHub Actions, or AWS CodePipeline.
- Solid understanding of DevOps and cloud-native infrastructure practices.
- Excellent problem-solving skills and the ability to work collaboratively across teams.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Publicis Sapient Overview:
The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution
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As Senior Associate L1 in Data Engineering, you will do technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution
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Role & Responsibilities:
Job Title: Senior Associate L1 – Data Engineering
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Mandatory Experience and Competencies:
# Competency
1.Overall 3.5+ years of IT experience with 1.5+ years in Data related technologies
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PHP
Laravel
CodeIgniter
Basic experience developing web applications using Cake PHP or other MVC framework
Strong PHP skills with any MVC Framework -Cake PHP / Laravel / Yii / Code ignitor, etc.
Strong MySQL, AJAX, jQuery, HTML & JavaScript skills
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Passionate about writing clean, efficient, and maintainable code.
Strong analytical and debugging skills and experience building consumer systems at scale.
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Full Stack Developer - Averlon