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 Senior Machine Learning Engineer Job in

Job Description

    PrashTech Solutions is looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities. To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. Machine Learning Engineer Responsibilities: Consulting with managers to determine and refine machine learning objectives. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations. Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions. Design, develop, and deploy Machine Learning models for various applications, including chatbots and NLP solutions. Build and optimize AI-driven chatbots using frameworks like Rasa, Dialogflow, or GPT-based models. Work with Natural Language Processing (NLP) techniques such as text classification, sentiment analysis, and entity recognition. Train, fine-tune, and optimize deep learning and machine learning models for production environments. Deploy models on cloud platforms (AWS, GCP, Azure) and implement MLOps best practices. Collaborate with data engineers to preprocess, clean, and analyze large datasets for model training. Continuously monitor and improve the performance, accuracy, and efficiency of deployed models. Develop and integrate APIs for seamless communication between ML models and applications. Ensure the security, scalability, and reliability of AI-driven solutions. Stay up to date with the latest machine learning and AI advancements to keep our solutions cutting-edge. Machine Learning Engineer Requirements: 2-4+ years of experience in Machine Learning, AI, or Data Science. Strong expertise in chatbot development using Rasa, Dialogflow, or OpenAIs GPT models. Experience in building and deploying Machine Learning models for real-world applications. Hands-on experience with Natural Language Processing (NLP) techniques and frameworks. Strong understanding of model deployment using Docker, Kubernetes, Flask, or FastAPI. Experience working with cloud platforms (AWS, GCP, Azure) for ML model deployment. Proficiency in SQL and NoSQL databases for managing structured and unstructured data. Knowledge of MLOps best practices for automating ML pipelines. Familiarity with version control systems (Git, GitHub, GitLab). Strong analytical, problem-solving, and debugging skills. Nice to have: Experience with Graph Neural Networks (GNNs) or Reinforcement Learning. Knowledge of Big Data technologies (Spark, Hadoop, Kafka). Experience with LLMs (Large Language Models) and fine-tuning transformer models.,

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Senior Machine Learning Engineer Job in

Contact Details:

Company: PranshTech Solutions
Location(s): Ahmedabad

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Keyskills:   Machine Learning Data Science Statistical Analysis Deep Learning AWS GCP Azure SQL Git GitHub GitLab Reinforcement Learning

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