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Emerson - Machine Learning Engineer - LLM Models

Emerson - Machine Learning Engineer - LLM Models

Emerson (Emerson)(2252)Pune
8 days ago
Job description

Job Description

Job Summary :

  • As a Senior Machine Learning Developer at Emerson, you will be responsible for developing, implementing, and optimizing machine learning models and systems.
  • You will collaborate closely with data scientists, software engineers, and other collaborators to translate data insights into practical, scalable solutions.

In this Role, Your Responsibilities Will Be :

  • 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.
  • Who You Are :

  • You quickly and decisively act in constantly evolving, unexpected situations.
  • You adjust communication content and style to meet the needs of diverse partners.
  • You always keep the end in sight; puts in extra effort to meet deadlines.
  • You analyze multiple and diverse sources of information to define problems accurately before moving to solutions.
  • You observe situational and group dynamics and select best-fit approach.
  • For This Role, You Will Need :

  • Bachelors degree in computer science, Data Science, Statistics, or a related field or a master's 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.
  • Preferred Qualifications that Set You Apart :

  • Prior experience in engineering domain, process control industry would be nice to have.
  • Prior experience in working with teams in Scaled Agile Framework (SAFe) is nice to have.
  • Possession of relevant certification / s in data science from reputed universities specializing in AI.
  • Familiarity with version control systems (e.g., Git) and CI / CD pipelines.
  • Understanding of standard processes in software development and methodologies.
  • (ref : hirist.tech)

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