Machine Learning Engineer Job in Jforce Solutions

Position: Machine Learning Engineer

Location: Vile Parle, Mumbai, Maharashtra, India

Job Type: Full-Time

About the Role:

We are seeking an experienced Machine Learning Engineer to lead our efforts in developing Artificial Intelligence (AI) and Natural Language Processing (NLP) based products. You will be responsible for creating machine learning models, retraining systems, and building self-learning applications. The role requires exceptional skills in statistics, programming, and an in-depth understanding of data science and software engineering.

Your primary goal will be to shape and build efficient, self-learning applications that meet business objectives.

Key Responsibilities:

• Model Development: Develop machine learning models that help achieve business objectives and establish metrics to track their progress.
• Resource Management: Manage resources such as hardware, data, and personnel to meet project deadlines.
• Algorithm Selection: Analyze and rank ML/NLP algorithms based on their likelihood of success in solving a given problem.
• Data Analysis: Explore and visualize data to understand its nature and identify potential issues that could affect performance when the model is deployed in real-world settings.
• Data Acquisition & Preparation: Supervise the data acquisition process and identify additional datasets if necessary. Define the data pre-processing and feature engineering strategies required.
• Model Training & Tuning: Train models, tune hyperparameters, and analyze model errors, implementing strategies to overcome them.
• Model Deployment: Deploy models to production and ensure they meet operational requirements.

Skills and Qualifications:

• Experience: Minimum of 3 years of experience as an ML/NLP Engineer or in a similar role.
• Frameworks & Libraries: Proficiency in machine learning frameworks like Keras or PyTorch and libraries such as scikit-learn, pandas.
• Data Handling: Expertise in visualizing and manipulating large datasets.
• Text Representation: Deep understanding of text representation techniques like n-grams, bag of words, sentiment analysis, etc.
• OpenCV: Proficiency with OpenCV for image processing.
• Hardware Selection: Ability to select and manage hardware to run ML models efficiently, ensuring the required latency is met.
• Degree: A degree in Computer Science, Mathematics, Computational Linguistics, or a related field.