AIML Engineer
2 weeks ago
About the role We are seeking a talentedMachine Learning Engineer with specialized expertise in NLPComputer Vision Large Language Models (LLM) General AI DeepLearning and
Neural Networks who is passionate aboutpushing the boundaries of whats possible in machine learning andartificial intelligence. This role is pivotal in driving ourML
initiatives forward leveraging stateofthearttechniques to develop innovative solutions. Role Title: AI/MLEngineer Location:Trivandrum/ Chandigarh
Experience:47Years
Educational Qualification:Bachelor / Masters degree in CS/ME/IT Role &Responsibilities:
- Develop and implement machine learning modelsand algorithms for NLP CV LLMGen AI Deep Learning and NeuralNetworks applications.
- Collaborate withcrossfunctional teams to understand requirements and translate theminto scalable ML solutions.
- Design andoptimize models for performance scalability andefficiency.
- Deploy ML models into productionenvironments ensuring robustness and reliability.
- Utilize Docker for containerization and MLOPS formanaging ML workflows.
- Work with both CPU andGPU architectures for efficient computation.
- Employ optimization techniques to enhance modelperformance and speed.
- Demonstrate expertisein Large Language Models (LLM) and proficiently handledatabases.
- Develop RESTful APIs using FASTAPIfor model deployment and integration.
- Stayabreast of the latest advancements in machine learning and AI andcontribute to the continuous improvement of our technologystack.
Requirements:
- Solid proficiency in Python programminglanguage.
- Extensive experience with Docker andMLOPS practices.
- Handson experience with cloudplatforms such as AWS Azure and GCP as well as onpremisesenvironments.
- Strong understanding of CPU andGPU architectures.
- Previous experiencedeploying ML models into production environments.
- Familiarity with optimization techniques for MLmodels.
- Expertise in Large Language Models(LLM) and proficient database management skills.
- Experience developing RESTful APIs withFASTAPI.
- Knowledge of Generative AdversarialNetworks (GANs) Convolutional Neural Networks (CNN) and NeuralNetworks (NN) for deep learning applications.
- Experience workingwith big data platforms (Spark Hadoop etc.)
- Experience with cloud platforms (AWS GCP Azureetc.)
- Experience with A/B testing andexperimentation methodologies.
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