6+ Jupyter Notebook Jobs in India

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:

1. Develop and execute validation strategies and test plans for AI and ML systems, during development and on production environments.
2. Work closely with AI/ML engineers and data scientists in understanding system requirements and capabilities and coming up with key metrics for system efficacy.
3. Evaluate the system performance under various operating conditions, data variety, and scenarios.
4. Perform functional, stress, system, and other testing types to ensure our systems' reliability and robustness.
5. Create automated test procedures and systems for regular verification and validation processes, and detect any abnormal anomalies in usage.
6. Report and track defects, providing detailed information to facilitate problem resolution.
7. Lead the continuous review and improvement of validation and testing methodologies, procedures, and tools.
8. Provide detailed reports and documentation on system performance, issues, and validation results.

Required Skills & Qualifications:

1. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
2. Proven experience in the testing and validation of AI/ML systems or equivalent complex systems.
3. Good knowledge and understanding of AI and ML concepts, tools, and frameworks.
4. Proficient in scripting and programming languages such as Python, shell scripts etc.
5. Experience with AI/ML platforms and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn.
6. Excellent problem-solving abilities and attention to detail.
7. Strong communication skills, with the ability to document and explain complex technical concepts clearly.
8. Ability to work in a fast-paced, collaborative environment.

Preferred Skills & Qualifications:

1.  A good understanding of various large language models, image models, and their comparative strengths and weaknesses.
2. Knowledge of CI/CD pipelines and experience with tools such as Jenkins, Git, Docker.
3. Experience with cloud platforms like AWS, Google Cloud, or Azure.
4. 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

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.