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NonStop io Technologies
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AI/ML Engineer

AI/ML Engineer

NonStop io Technologies

0 years

0 Lacs

pune maharashtra india

Posted:1 day ago| Platform:

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Skills Required

ai ml learning data software cutting algorithms processing drive engineering tooling model development design vision preprocessing preprocess training testing extract evaluation metrics visualization deployment integration devops security compliance regulations research documentation code certifications portfolio programming tensorflow pytorch statistics networks aws azure writing communication python django flask

Work Mode

On-site

Job Type

Full Time

Job Description

We're seeking an AI/ML Engineer to join our team-As an AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real world business problems. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop io. Your role will involve researching cutting-edge algorithms, data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI
AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.
Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data
Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics
Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behavior, and performance metrics
Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems
Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes
Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions
Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference

Requirements

Bachelor's, Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus
Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects
Proficiency in programming languages commonly used for AI/ML. Preferably Python
Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.
Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.
Strong understanding of machine learning algorithms, statistics, and data structures
Experience with data preprocessing, data wrangling, and feature engineering
Knowledge of deep learning architectures, neural networks, and transfer learning
Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment
Solid understanding of software engineering principles and best practices for writing maintainable and scalable code
Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions
Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

Skills:- Python, Django, Flask, Data Structures, Algorithms, Artificial Intelligence (AI), Machine Learning (ML), Amazon Web Services (AWS) and Neural networks

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AI/ML Engineer