Job Overview
As a Machine Learning Engineer at GoAccelovate, you will develop, train, and deploy AI-powered solutions with a focus on Large Language Models (LLMs) and NLP. Your role involves building scalable data pipelines, optimizing ML workflows, and integrating AI models into production environments. Collaborating with cross-functional teams, you’ll drive innovation by applying cutting-edge machine learning and deep learning techniques to solve complex challenges.

Job Description

• Develop, train, and deploy machine learning models for predictive and classification tasks, with a focus on LLMs and NLP techniques for AI-powered applications.

• Design and implement AI systems and algorithms for solving complex problems.

• Build and maintain scalable data pipelines and workflows for data ingestion, transformation, and analysis.

• Perform data preprocessing, cleaning, and feature engineering to prepare datasets for analysis.

• Conduct exploratory data analysis to identify trends, patterns, and opportunities.

• Build and maintain scalable data pipelines and workflows for data ingestion, transformation, and analysis, enabling integration of LLM-based solutions.

• Integrate APIs and external services, including LLMs, to enhance model capabilities and system functionality.

• Optimize AI and ML workflows for performance and scalability in production environments.

• Monitor model performance, retrain models, and manage the lifecycle of deployed solutions.

• Collaborate with cross-functional teams, including product managers, engineers, and stakeholders, to understand requirements and deliver impactful solutions.

• Stay updated with the latest advancements in AI, ML, LLMs, and data science technologies, applying relevant innovations to business challenges.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.

• At least 2 years of experience in ML model development and deployment.

• Experience working with Large Language Models (LLMs) and natural language processing (NLP) techniques for developing AI-powered applications.

• Proficiency in Python and popular ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

• Hands-on experience with data preprocessing, feature engineering, and model optimization.

• Strong understanding of machine learning algorithms, deep learning, and statistical modeling techniques.

• Experience with SQL and NoSQL databases, as well as cloud platforms (AWS, GCP, Azure).

• Ability to integrate ML models into production and optimize workflows for efficiency.

• Strong analytical, problem-solving, and collaboration skills.

Join Us!
At GoAccelovate, you’ll be part of a team that’s pushing the boundaries of AI and machine learning to create innovative solutions. Ready to contribute to cutting-edge AI projects and make a significant impact? Apply now!