Machine Learning Engineer

1 month ago

tamil nadu, India Exterro India Full time
Job Description- Machine Learning Engineer with 1 – 3 Years of Experience
Exterro R & D Private Limited is a US based Product company, with the leading provider of end-to-
end e-discovery software. Exterro is placed in the leader quadrant by Gartner, for the third
consecutive year in its annual Magic Quadrant for E-Discovery Software. For further details log on
to Engineer job profile
 Machine Learning is a field of artificial intelligence that focuses on developing systems that can learn
and improve from experience.
 Machine Learning Engineers work on creating and implementing AI models and algorithms to solve
complex problems.
 This role often involves working with large datasets, developing algorithms, and deploying models
into production environments.
ML Engineer job description
We are seeking an enthusiastic and motivated Machine Learning Engineer with 1-3 years of
experience to join our team. As a Machine Learning Engineer, you will be responsible for designing,
building, and maintaining machine learning models with a focus on Generative AI, Large Language
Models (LLMs), and Natural Language Processing (NLP). You will use your skills and knowledge to
tackle real-world challenges and contribute to the advancement of AI technology.
ML Engineer duties and responsibilities
 Design, develop, and implement efficient and scalable machine learning models and algorithms
 Work closely with software engineers to integrate ML models into production systems
 Implement and optimize NLP algorithms and pipelines
 Optimize and fine-tune existing models for improved performance
 Contribute to the research and implementation of state-of-the-art GenAI techniques
 Participate in the full machine learning lifecycle, from data preparation to model deployment
 Collaborate with cross-functional teams to identify and solve complex business problems using AI
 Stay up-to-date with the latest advancements in ML, especially in GenAI, LLMs, and NLP
 Document your work, including model architectures, experiments, and results
Must have skills
 1-3 years of professional experience in machine learning engineering
 Proficiency in designing and implementing machine learning models, particularly in GenAI, LLM, and
NLP domains.
 Strong proficiency in Python and either PyTorch or TensorFlow for building and training models.
 Strong programming skills in Python, including knowledge of data structures, algorithms, and object-
oriented programming principles.
 Experience with NLP techniques and frameworks (e.g., NLTK, spaCy, Hugging Face Transformers)
Copyright © 2020 Exterro, Inc. ID# PB003-0914 // // // +1 (503) 501-5100
 Familiarity with GenAI and LLM technologies (e.g., GPT, Llama, Mistral)
 Strong problem-solving skills and ability to translate business requirements into technical solutions
 Proficiency in version control systems (e.g., Git)
Good to have skills
 Experience in writing SQL queries and working with relational databases.
 Experience in integrating or productionising machine learning models to the existing frameworks
 Experience in back-end development to integrate machine learning models with applications. (Full
stack experience is an extra bonus to have)
 Experience with data engineering tools and techniques for large-scale data processing.
 Experience with cloud platforms (e.g., AWS, GCP, or Azure) for ML model deployment
 Understanding of serving technologies (e.g., FASTAPI, Flask API,ONNX Runtime)
 Familiarity with ML experiment tracking tools (e.g., MLflow, Weights & Biases)
 Strong desire to stay updated with the latest advancements in machine learning and AI.
 Familiarity with Kubernetes, Docker, and Jenkins for model deployment and pipeline automation.

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