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About the Company :
Nextgen Ai Technologies is at the forefront of innovation in artificial intelligence, specializing in developing cutting-edge AI solutions that transform industries. We are committed to pushing the boundaries of AI technology to solve complex challenges and drive business success.
Currently offering "Data Science Internship" for 2 months.
Data Science Projects details In which Intern’s Will Work :
Project 01 : Image Caption Generator Project in Python
Project 02 : Credit Card Fraud Detection Project
Project 03 : Movie Recommendation System
Project 04 : Customer Segmentation
Project 05 : Brain Tumor Detection with Data Science
Eligibility
A PC or Laptop with decent internet speed.
Good understanding of English language.
Any Graduate with a desire to become a web developer. Freshers are welcomed.
Knowledge of HTML, CSS and JavaScript is a plus but NOT mandatory.
Fresher are welcomed. You will get proper training also, so don't hesitate to apply if you don't have any coding background.
#please note that THIS IS AN INTERNSHIP , NOT A JOB.
We recruit permanent employees from inside our interns only (if needed).
Duration : 02 Months
MODE: Work From Home (Online)
Responsibilities
Manage reports and sales leads in salesforce.com, CRM.
Develop content, manage design, and user access to SharePoint sites for customers and employees.
Build data driven reports, store procedures, query optimization using SQL and PL/SQL knowledge.
Learned the essentials to C++ and Java to refine code and build the exterior layer of web pages.
Configure and load xml data for the BVT tests.
Set up a GitHub page.
Develop spark scripts by using Scala shell as per requirements.
Develop and A/B test improvements to business survey questions on iOS.
Deploy statistical models to various company data streams using Linux shells.
Create monthly performance-base client billing reports using MySQL and NoSQL databases.
Utilize Hadoop and MapReduce to generate dynamic queries and extract data from HDFS.
Create source code utilizing JavaScript and PHP language to make web pages functional.
Excellent problem-solving skills and the ability to work independently or as part of a team.
Effective communication skills to convey complex technical concepts.
Benefits
Internship Certificate
Letter of recommendation
Stipend Performance Based
Part time work from home (2-3 Hrs per day)
5 days a week, Fully Flexible Shift
We are seeking a talented and motivated AI Verification Engineer to join our team. The ideal candidate will be responsible for the validation of our AI and Machine Learning systems, ensuring that they meet all necessary quality assurance requirements and work reliably and optimally in real-world scenarios. The role requires strong analytical skills, a good understanding of AI and ML technologies, and a dedication to achieving excellence in the production of state-of-the-art systems.
Key Responsibilities:
- Develop and execute validation strategies and test plans for AI and ML systems, during development and on production environments.
- Work closely with AI/ML engineers and data scientists in understanding system requirements and capabilities and coming up with key metrics for system efficacy.
- Evaluate the system performance under various operating conditions, data variety, and scenarios.
- Perform functional, stress, system, and other testing types to ensure our systems' reliability and robustness.
- Create automated test procedures and systems for regular verification and validation processes, and detect any abnormal anomalies in usage.
- Report and track defects, providing detailed information to facilitate problem resolution.
- Lead the continuous review and improvement of validation and testing methodologies, procedures, and tools.
- Provide detailed reports and documentation on system performance, issues, and validation results.
Required Skills & Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Proven experience in the testing and validation of AI/ML systems or equivalent complex systems.
- Good knowledge and understanding of AI and ML concepts, tools, and frameworks.
- Proficient in scripting and programming languages such as Python, shell scripts etc.
- Experience with AI/ML platforms and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn.
- Excellent problem-solving abilities and attention to detail.
- Strong communication skills, with the ability to document and explain complex technical concepts clearly.
- Ability to work in a fast-paced, collaborative environment.
Preferred Skills & Qualifications:
- A good understanding of various large language models, image models, and their comparative strengths and weaknesses.
- Knowledge of CI/CD pipelines and experience with tools such as Jenkins, Git, Docker.
- Experience with cloud platforms like AWS, Google Cloud, or Azure.
- Understanding of Data Analysis and Visualization tools and techniques.
- Creating and managing ETL/ELT pipelines based on requirements
- Build PowerBI dashboards and manage datasets needed.
- Work with stakeholders to identify data structures needed for future and perform any transformations including aggregations.
- Build data cubes for real-time visualisation needs and CXO dashboards.
Required Tech Skills
- Microsoft PowerBI & DAX
- Python, Pandas, PyArrow, Jupyter Noteboks, ApacheSpark
- Azure Synapse, Azure DataBricks, Azure HDInsight, Azure Data Factory
1. Need to have an understanding of Elastic Search, Kafka, mongo DB, etc.
2. Should have experience of Jupter noobooks, data bricks
3. Java, Pythons
4. Senior level, 5-10 years of experience
5. It is important they have those skills so that they can take over current work. There are codes written in both Java as well as Python. (Java is legacy but that is the main search engine code). So it will be counter-productive if engineers hired have experience in both.
6. Excellent communication, analytical, research, grasping skills
Institutional-grade tools to understand digital assets
Qualifications
● Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical
experience (or) degree in an analytical field (e.g. Computer Science, Engineering, Mathematics,
Statistics, Operations Research, Management Science)
● 3+ years experience with data analysis and metrics development
● 3+ years experience analyzing and interpreting data, drawing conclusions, defining
recommended actions, and reporting results across stakeholders
● 2+ years experience writing SQL queries
● 2+ years experience scripting in Python
● Demonstrated curiosity in and excitement for Web3/blockchain technologies
● Interested in learning new technologies to solve customer needs with lots of creative freedom
● Strong communication skills and business acumen
● Self-starter, motivated by an interest for developing the best possible solutions to problems
● Experience with Google Cloud - Bigquery, DataBricks stack, DBT, Tableu, Jupyter is a plus
Position description:
- Architecture & Design systems for Predictive analysis and writing algorithms to deal with financial data
- Must have experience on web services and APIs (REST, JSON, and similar) and creation and consumption of RESTful APIs
- Proficiently writing algorithms with Python/Pandas/Numpy; Jupyter/PyCharm
- Experience with relational and NoSQL databases (Eg. MSSQL, MongoDB, Redshift, PostgreSQL, Redis)
- Implementing Machine Learning Models using Python/R for best performance
- Working with Time Series Data & analyzing large data sets.
- Implementing financial strategies in python and generating reports to analyze the strategy results.
Primary Responsibilities:
- Writing algorithms to deal with financial data and Implementing financial strategies in (Python, SQL) and generating reports to analyze the strategy results.
Educational qualifications preferred Degree: Bachelors degree
Required Knowledge:
- Highly skilled in SQL, Python, Pandas, Numpy, Machine Learning, Predictive Modelling, Algorithm designing, OOPS concepts
- 2 - 7 years Full-Time working experience on core SQL, Python role (Non-Support)
- Bachelor’s Degree in Engineering, equivalent or higher education.
- Writing algorithms to deal with financial data and Implementing financial strategies in (Python, SQL) and generating reports to analyze the strategy results.
- Data pre-processing, data transformation, data analysis, and feature engineering
- Performance optimization of scripts (code) and Productionizing of code (SQL, Pandas, Python or PySpark, etc.)
- Required skills:
- Bachelors in - in Computer Science, Data Science, Computer Engineering, IT or equivalent
- Fluency in Python (Pandas), PySpark, SQL, or similar
- Azure data factory experience (min 12 months)
- Able to write efficient code using traditional, OO concepts, modular programming following the SDLC process.
- Experience in production optimization and end-to-end performance tracing (technical root cause analysis)
- Ability to work independently with demonstrated experience in project or program management
- Azure experience ability to translate data scientist code in Python and make it efficient (production) for cloud deployment