MLOps Engineer

Job Title: MLOps Engineer

Location: Remote

Job Type: Contract

Exp: 3-5 Years

Role Overview

As a Data Scientist specializing in Machine Learning, you will play a pivotal role in shaping and driving our AI strategies. Your primary focus will be developing and implementing Machine Learning and statistical models that transform and elevate our client's business operations.

Your Responsibilities Include
• Collaborating with internal teams to understand complex business challenges and identify opportunities for AI-driven solutions.
• Designing, developing, evaluating, and deploying Machine Learning algorithms that turn data into actionable insights.
• Continuously research and stay abreast of the latest advancements in machine learning and AI to apply cutting-edge techniques in our solutions.
• Proactively working with large datasets, ensuring the integrity and effectiveness of data used in Machine Learning models.
• Engaging with clients to translate business needs into technical requirements and Machine Learning solutions.
• Leading initiatives to enhance our data analytics capabilities with a focus on predictive and prescriptive analytics through Machine Learning.

Qualifications
• Bachelor's or master's degree in computer science, Data Science, Statistics, Mathematics, or a related field with a strong emphasis on Machine Learning or Artificial Intelligence.
• Proficiency in Machine Learning algorithms and concepts such as linear regression analysis, anomaly detection, time series and forecasting, probabilistic models, supervised and unsupervised learning, neural networks, deep learning, etc.
• Experience with data modeling and evaluation strategies.
• OPP knowledge and strong programming skills in Python, especially libraries used in data science like TensorFlow, PyTorch, Keras, Scikit-learn, etc.
• Knowledge of data preprocessing, cleaning, and analysis techniques.
• Familiarity with big data technologies such as Hadoop, Spark, or similar platforms.
• At least 3-5 years of experience in a Machine Learning or data science role, with a proven track record of developing and deploying models that have driven business impact.
• Experience working with large and complex datasets.
• Prior exposure to cloud computing services like AWS, Azure, or Google Cloud Platform is advantageous.