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Sr ML Platforms Engineer

Sr ML Platforms Engineer

Xoom

5 - 10 years

13 - 17 Lacs

bengaluru

Posted:2 days ago| Platform:

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Skills Required

logistic regression data modeling gcp machine learning linear regression data processing data structures recruitment python

Work Mode

Work from Office

Job Type

Full Time

Job Description

A Senior ML Platform Engineer with experience in designing, building, and maintaining robust, scalable machine learning infrastructure to empower research and production model deployment at scale. This role collaborates closely with data scientists, engineers, and product teams to automate workflows, optimize performance, and ensure seamless integration of new ML technologies. The ideal candidate will drive the adoption of best practices in MLOps, cloud architecture, and CI/CD, while championing platform reliability, security, and cost efficiency. Strong leadership and technical expertise are required to deliver projects that advance the organization s ML capabilities.

Essential Responsibilities

Develop and optimize machine learning models for various applications.
Preprocess and analyze large datasets to extract meaningful insights.
Deploy ML solutions into production environments using appropriate tools and frameworks.
Collaborate with cross-functional teams to integrate ML models into products and services.
Monitor and evaluate the performance of deployed models.

Minimum Qualifications

Minimum of 5 years of relevant work experience and a Bachelors degree or equivalent experience.
Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
Several years of experience in designing, implementing, and deploying machine learning models.

Preferred Qualification

Required Skills

Expert-level programming in Python, with a proven ability to design and implement efficient, scalable solutions following best practices covering memory management, advanced use of data structures, concurrency, and performance optimization.
Proven track record in designing, deploying, and operationalizing AI/ML solutions in both on-premises and cloud (GCP, AWS, Azure) environments.
Hands-on experience building scalable data solutions using big data frameworks and distributed storage systems (eg, Hadoop, Spark, Dataproc).
Proficiency in cloud platforms (especially GCP) and container orchestration tools including Terraform, Kubernetes, and Helm.
Strong expertise in developing predictive machine learning models and implementing large language models (LLMs).

Preferred skills

Strong proficiency in data modeling, feature engineering, and classical machine learning algorithms such as neural networks, linear regression, logistic regression, and random forest.
Knowledge of AI/ML security, compliance, and ethical AI practices. Experience with agentic frameworks including Langchain, CrewAI, Langgraph, ADK, and MCP server development.
Practical expertise in fine-tuning, serving, and inferencing large language models (LLMs).

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Sr ML Platforms Engineer