Job Description

Job Title: Senior AI Machine Learning Engineer

Experience: 5 - 10 Years

Location: Bengaluru


Requisites:
Experience in Object Oriented Design and/or Functional Programming in Python. Mature software engineering skills, such as source control versioning, requirement spec, architecture, and design review, testing methodologies, CI/CD, etc. Must have a disciplined, methodical, minimalist approach to designing and constructing layered software components that can be embedded within larger frameworks or applications. Experience implementing machine learning frameworks and libraries such as MLflow Experience with containers and container managements (docker, Kubernetes) Experience developing cloud first solutions using Microsoft Azure Services including building machine learning pipelines in Azure Machine Learning and/or Fabric, Hands-on experience in deploying machine learning pipelines with Azure Machine Learning SDK Working knowledge of mathematics (primarily linear algebra, probability, statistics), and algorithms. Proficient at orchestrating large-scale ML/DL jobs, leveraging big data tooling and modern container orchestration infrastructure, to tackle distributed training and massive parallel model executions on cloud infrastructure. Experience designing custom APIs for machine learning models for training and inference processes and designing, implementing, and delivering frameworks for MLOps. Experience with model lifecycle management and automation to support retraining and model monitoring Experience implementing and incorporating ML models on unstructured data using cognitive services and/or computer vision as part of AI solutions and workflows. Knowledge of enterprise SaaS complexities including security/access control, scalability, high availability, concurrency, online diagnoses, deployment, upgrade/migration, internationalization, and production support. Knowledge of data engineering and transformation tools and patterns such as Databricks, Spark, Azure Data Factory
Key responsibilities:
Transform data science prototypes into appropriate scale solutions in a production environment Orchestrate and configure infrastructure that assists Data Scientists and analysts in building low latency, scalable and resilient machine learning, and optimization workloads into an enterprise software product Combine expertise in mathematics, statistics, computer science, and domain knowledge to create advanced AI/ML models. Collaborate closely with the AI Technical Manager and GCC Petro-technical professionals and data engineers to integrate and scale models into the business framework. Identify data, appropriate technology, and architectural design patterns to solve business challenges Run machine learning experiments and fine-tune algorithms to ensure optimal performance Consistently deliver complex, innovative, and complete solutions, driving them through design, planning, development, and deployment that simplify business processes and workflows to drive business value Work collaboratively with a large variety of different teams, including data scientists, data engineers, and solution architects from various organizations within business units and IT


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Contact: 70216 20237 / sakshi.chakre@mmcindia.biz