Data Scientist

Responsibilities:

• Lead the design, development, and implementation of scalable data architectures leveraging Snowflake, Python, PySpark, and Databricks.
• Collaborate with business stakeholders to understand requirements and translate them into technical specifications and data models.
• Architect and optimize data pipelines for performance, reliability, and efficiency.
• Ensure data quality, integrity, and security across all data processes and systems.
• Provide technical leadership and mentorship to junior team members.
• Stay abreast of industry trends and best practices in data architecture and analytics.
• Drive innovation and continuous improvement in data management practices.

Requirements:

• Bachelor's degree in Computer Science, Information Systems, or a related field. Master's degree preferred.
• 5+ years of experience in data architecture, data engineering, or a related field.
• Strong proficiency in Snowflake, including data modeling, performance tuning, and administration.
• Expertise in Python and PySpark for data processing, manipulation, and analysis.
• Hands-on experience with Databricks for building and managing data pipelines.
• Proven leadership experience, with the ability to lead cross-functional teams and drive projects to successful completion.
• Experience in the banking or insurance domain is highly desirable.
• Excellent communication skills, with the ability to effectively collaborate with stakeholders at all levels of the organization.
• Strong problem-solving and analytical skills, with a keen attention to detail.

Benefits:

• Competitive salary and performance-based incentives.
• Comprehensive benefits package, including health insurance, retirement plans, and wellness programs.
• Flexible work arrangements, including remote options.
• Opportunities for professional development and career advancement.
• Dynamic and collaborative work environment with a focus on innovation and continuous learning.

Company Name: Intraedge Technologies Ltd (https://intraedge.com/" target="_blank">https://intraedge.com/)

Type: Permanent, Full time

Location: Any

A Bachelor’s degree in computer science, computer engineering, other technical discipline, or equivalent work experience

• 4+ years of software development experience
• 4+ years exp in programming languages- Python, spark, Scala, Hadoop, hive
• Demonstrated experience with Agile or other rapid application development methods
• Demonstrated experience with object-oriented design and coding.

About us

SteelEye is the only regulatory compliance technology and data analytics firm that offers transaction reporting, record keeping, trade reconstruction, best execution and data insight in one comprehensive solution. The firm’s scalable secure data storage platform offers encryption at rest and in flight and best-in-class analytics to help financial firms meet regulatory obligations and gain competitive advantage.

The company has a highly experienced management team and a strong board, who have decades of technology and management experience and worked in senior positions at many leading international financial businesses. We are a young company that shares a commitment to learning, being smart, working hard and being honest in all we do and striving to do that better each day. We value all our colleagues equally and everyone should feel able to speak up, propose an idea, point out a mistake and feel safe, happy and be themselves at work.

Being part of a start-up can be equally exciting as it is challenging. You will be part of the SteelEye team not just because of your talent but also because of your entrepreneurial flare which we thrive on at SteelEye. This means we want you to be curious, contribute, ask questions and share ideas. We encourage you to get involved in helping shape our business. What you'll do

What you will do?

• Deliver plugins for our python based ETL pipelines.
• Deliver python services for provisioning and managing cloud infrastructure.
• Design, Develop, Unit Test, and Support code in production.
• Deal with challenges associated with large volumes of data.
• Manage expectations with internal stakeholders and context switch between multiple deliverables as priorities change.
• Thrive in an environment that uses AWS and Elasticsearch extensively.
• Keep abreast of technology and contribute to the evolution of the product.
• Champion best practices and provide mentorship.

What we're looking for

• Python 3.
• Python libraries used for data (such as pandas, numpy).
• AWS.
• Elasticsearch.
• Performance tuning.
• Object Oriented Design and Modelling.
• Delivering complex software, ideally in a FinTech setting.
• CI/CD tools.
• Knowledge of design patterns.
• Sharp analytical and problem-solving skills.
• Strong sense of ownership.
• Demonstrable desire to learn and grow.
• Excellent written and oral communication skills.
• Mature collaboration and mentoring abilities.

What will you get?

• This is an individual contributor role. So, if you are someone who loves to code and solve complex problems and build amazing products and not worry about anything else, this is the role for you.
• You will have the chance to learn from the best in the business who have worked across the world and are technology geeks.
• Company that always appreciates ownership and initiative. If you are someone who is full of ideas, this role is for you.

Responsibilities: 

• Improve robustness of Leena AI current NLP stack 
• Increase zero shot learning capability of Leena AI current NLP stack 
• Opportunity to add/build new NLP architectures based on requirements 
• Manage End to End lifecycle of the data in the system till it achieves more than 90% accuracy 
• Manage a NLP team 

Page BreakRequirements: 

• Strong understanding of linear algebra, optimisation, probability, statistics 
• Experience in the data science methodology from exploratory data analysis, feature engineering, model selection, deployment of the model at scale and model evaluation 
• Experience in deploying NLP architectures in production 
• Understanding of latest NLP architectures like transformers is good to have 
• Experience in adversarial attacks/robustness of DNN is good to have 
• Experience with Python Web Framework (Django), Analytics and Machine Learning frameworks like Tensorflow/Keras/Pytorch.