Lead Machine Learning Engineer

Job Title: Lead Machine Learning Engineer
Experience: 10 - 15 Years
Location: Bengaluru

• 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.
• 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

Explore more on the opportunity
Contact: 7506935713 / pooja@mmcindia.biz