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Sr. Machine Learning Engineer @ Emerson

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 Sr. Machine Learning Engineer

Job Description

  • Design, build, and deploy machine learning models and algorithms to solve specific business problems. Optimize models for performance and scalability.
  • Work with large data sets to preprocess, clean, and transform data for use in machine learning models. Develop and maintain data pipelines.
  • Monitor and evaluate the performance of deployed models, making adjustments and improvements as needed to ensure accuracy and reliability.
  • Work with multi-functional teams such as data scientists, analysts, and product managers to understand requirements and deliver machine learning solutions that meet business needs.
  • Keep up with the latest research and trends in machine learning and artificial intelligence. Explore and implement new techniques and technologies to enhance model performance.
  • Document model development processes, code, and standard methodologies. Provide clear and comprehensive reports on model performance and metrics
  • Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective.
For This Role, You Will Need:
  • Bachelor s degree in computer science, Data Science, Statistics, or a related field or a masters degree or higher is preferred.
  • More than 5 years of experience in machine learning engineering or a related role, with a strong track record of developing and deploying machine learning models.
  • Proficiency in programming languages such as Python or R. Experience with machine learning frameworks (e.g., Go, TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, LangChain, or similar).
  • Experience designing and optimizing prompts for large language models (LLMs). Multimodal AI
  • Proficiency in React, Angular for building interactive AI-powered UIs
  • Experience integrating ML models into web applications using REST APIs, WebSockets, or GraphQL
  • Ability to fine-tune foundation models on domain-specific data.
  • Understanding of ethical AI, bias mitigation, and model interpretability in generative systems
  • Deep understanding of transformer-based models (e.g., GPT, LLaMA, Claude), diffusion models, and generative adversarial networks (GANs)
  • Experience with LangChain, Semantic Kernel, AutoGen, or similar frameworks for building AI agents.
  • Designing agents that can plan, reason, and interact with APIs, databases, and external tools.
  • Experience with data processing and manipulation tools and libraries (e.g., pandas, NumPy).
  • Strong analytical and problem-solving skills, with the ability to handle complex and large-scale data sets.
  • Experience with deploying machine learning models to production environments, including knowledge of containerization technologies (e.g., Docker or equivalent) and cloud platforms, Microsoft Azure is preferred
  • Hands-on experience with Azure Machine Learning, Azure OpenAI, Azure Cognitive Services, and Azure Functions
  • Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical collaborators

Job Classification

Industry: Industrial Equipment / Machinery
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Head - Engineering
Employement Type: Full time

Contact Details:

Company: Emerson
Location(s): Pune

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Keyskills:   transformers python scikit-learn kernel golang microsoft azure azure cognitive services numpy machine learning docker pandas react.js angular r tensorflow written communication websocket pytorch graphql programming communication skills

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Emerson

At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectivesbecause we know that great ideas come from great teams. Our commitment to ongoing career development and...