Senior Machine Learning Engineer

VisionX – Customer Products /
Full Time /
About Us:
VisionX works with world-leading brands, Fortune 1000 as their innovation partner, providing product strategy and custom application development leveraging agile methodologies, technology accelerators, and by creating Intellectual Property.
VisionX has been listed in the Top 10 Most Innovative Companies of 2020 by Fast Company – ranked alongside the likes of Microsoft & Snap Inc.
We develop cutting-edge software products integrating computer vision, 3D modeling, AR, VR, decision sciences, and IoT addressing a wide variety of use cases across different industries.
Your role
As a Senior ML Engineer, you would help us to create and improve our VisionX portfolio. You would need exceptional skills in programming and have knowledge of data science, big data, and software engineering. You are always on the lookout to unlock and maximize your real potential. 
· Build scalable, efficient, and high-performance software using classical Machine Learning and Data Science techniquesto augment our data analytics platform to help us expand its reporting and analytics capabilities. 
· Build out frameworks and services for our Machine Learning services, systems, and dashboards.
· Interact with business users, other development, and testing teams.
· Follow coding best practices-Unit testing, design/code reviews, code coverage, documentation, etc.
· Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
· Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
· Respond quickly to bug fixes and enhancement requests and be able to take directions and complete tasks on-time with minimal supervision.
· Work with and help implement data models created by data scientists.
What you need
· Solid experience with Traditional ML, DS, NLP, and Gen AI.
. Master the fundamentals of machine learning algorithms to drive data-driven decisions.
. Leverage advanced statistical models to uncover hidden insights and patterns.
. Utilize unsupervised learning techniques to explore and cluster complex datasets.
. Implement robust machine learning solutions using state-of-the-art frameworks.
. Harness the power of big data technologies to process and analyze massive datasets.
. Transform and visualize data to create compelling, actionable insights.
. Deploy scalable ML solutions on leading cloud platforms for enhanced performance.
. Integrate ML operations to streamline the deployment and management of machine learning models.
. Apply deep learning methodologies to solve intricate and high-dimensional problems.
. Utilize Python's versatility and libraries to build and deploy efficient ML applications.
· Experience working with NLP and ML packages and frameworks such as spaCy, NLTK, SciPy, etc.
· Understanding of text processing and feature extraction, text embedding, text classification, and sequence-to-sequence models.
· Proficiency with a deep learning framework such as TensorFlow, Keras, or PyTorch
· Proficiency with python language is required.
· Expertise in visualizing and manipulating big datasets (pulling from AWS, GCP, etc).
· Experience with data noise removal, data augmentation, dataset truthing, and construction.
- Expertise in visualizing and manipulating large datasets.
· Familiarity with Linux.
· Proficiency with languages like javascript and SQL is a plus.
· Excellent interpersonal, communication and organizational skills are required. Excellent analytical and troubleshooting skills are necessary.
· Strong written communication skills are preferred.
Why choose us
Our global network of industry experts and mentors helps shape your growth and future. We believe in delivering client value through our work. We build products that are not good or great, but outstanding.
You deliver! We will make your stay and journey with us worthwhile.
We are an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.