Business development manager

At Eccentric Engine, we are privileged to co-build Metaverse with some of the best minds of our time. Since 2016, we have been engaged in the Virtualization of Automotive Retail. We have helped leading Automotive Brands in the World optimize the power of Virtual Interactions.

We are looking for Software Developers having hands-on experience in Angular/React and Node.js development.

What you’ll do

·      Participation in development, design, architecture, and code review on a hands-on basis

·      Employ scrum agile development ideas and processes.

·      Maintain constant communication with stakeholders to ensure product quality and timely delivery.

·      Maintain technical and quality standards throughout the software development lifecycle.

·      Examine and evaluate the efficacy of existing applications, and devise strategies to improve the systems in place.

·      Identify and promote avenues for team growth and improvement.

·      Document and test the finished task required to confirm its quality.

What we seek

·      Developer with 2 - 6 years of experience in JavaScript and relative Frameworks.

·      Strong knowledge of the Angular or React and Node.js for creating end to end deliveries.

·      Deep understanding in Next.js and Ionic Framework is Plus point.

·      Understanding the nature of asynchronous programming, as well as its peculiarities and workarounds.

·      Good Understanding in version control systems (GIT).

·      Knowledge of JIRA is plus point.

·      Excellent written and vocal communication abilities.

Key Responsibilities:

·       Full Stack Development: Design, develop, and maintain web applications from front-end to back-end, ensuring responsiveness and efficiency.

·       Front-End Development: Create user-friendly interfaces using HTML, CSS, JavaScript, and modern front-end frameworks (e.g., React, Angular).

·       Back-End Development: Develop server-side logic, manage databases, and integrate APIs using technologies such as Node.js, Python, Nest JS.

·       Database Management: Design and optimize database schemas, and ensure efficient data storage and retrieval using SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).

·       API Development & Integration: Build and consume RESTful APIs, ensuring seamless integration between different services and applications.

·       Code Quality & Best Practices: Write clean, maintainable, and efficient code, adhering to industry best practices and standards.

·       Testing & Debugging: Conduct unit tests, integration tests, and troubleshoot issues to ensure software reliability and performance.

·       Collaboration: Work closely with product managers, designers, and other developers to define project requirements and deliver robust solutions.

·       Continuous Improvement: Stay up-to-date with the latest industry trends, tools, and technologies, and continuously seek ways to improve development processes.

Technical Skills:

·       Front-End: Proficiency in HTML, CSS, JavaScript, and modern frameworks (React, Angular).

·       Back-End: Experience with server-side languages and frameworks (Node.js, Python, Nest JS).

·       Database: Strong knowledge of SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB).

·       APIs: Experience in building and consuming RESTful APIs.

·       Version Control: Proficiency with Git and version control systems.

·       DevOps: Familiarity with CI/CD pipelines and cloud platforms (AWS, Azure, GCP) is a plus.

·       Testing: Experience with unit testing, integration testing, and debugging tools.

Soft Skills:

·       Strong problem-solving abilities and attention to detail.

·       Excellent communication and teamwork skills.

·       Ability to work in a fast-paced, agile environment.

·       Strong organizational and time management skills.

Fresh graduates or up to 4 years of experience in HR role

Startup experience preferred

Manage hiring and day to HR operations of our engineering team

• Implement best practices for the engineering team across code hygiene, overall architecture design, testing, and deployment activities
• Drive technical decisions for building data pipelines, data lakes, and analyst access.
• Act as a leader within the engineering team, providing support and mentorship for teammates across functions
• Bachelor’s Degree in Computer Science or equivalent job experience
• Experienced developer in large data environments
• Experience using Git productively in a team environment
• Experience with Docker
• Experience with Amazon Web Services
• Ability to sit with business or technical SMEs to listen, learn and propose technical solutions to business problems

·       Experience using and adapting to new technologies

·       Take and understand business requirements and goals

·       Work collaboratively with project managers and stakeholders to make sure that all aspects of the project are delivered as planned

·       Strong SQL skills with MySQL or PostgreSQL

• Experience with non-relational databases and their role in web architectures desired

 Knowledge and Experience:

• Good experience with Elixir and functional programming a plus

• Several years of python experience
• Excellent analytical and problem-solving skills
• Excellent organizational skills

Proven verbal and written cross-department and customer communication skills

Job Responsibilities:-

• Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets.
• Build methods for document clustering, topic modeling, text classification, named entity recognition, sentiment analysis, and POS tagging.
• Perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices.
• Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process.
• Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients.
• Knowledge of Machine Learning, NLP, Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems.
• Experience working with big data systems and big data concepts.
• Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists.
• Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment.
• Experience with noisy and/or unstructured textual data.

knowledge graph and NLP including summarization, topic modelling etc

• Strong coding ability with statistical analysis tools in Python or R, and general software development skills (source code management, debugging, testing, deployment, etc.)
• Working knowledge of various text mining algorithms and their use-cases such as keyword extraction, PLSA, LDA, HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modeling.
• Strong understanding of text pre-processing and normalization techniques, such as tokenization,
• POS tagging and parsing and how they work at a low level.
• Excellent problem solving skills.
• Strong verbal and written communication skills
• Masters or higher in data mining or machine learning; or equivalent practical analytics / modelling experience
• Practical experience in using NLP related techniques and algorithms
• Experience in open source coding and communities desirable.

Able to containerize Models and associated modules and work in a Microservices environment

We are actively seeking software development engineers who are interested in designing robust trading systems and refining programs to efficiently manage various types of financial market data that facilitate our quantitative investment research. By designing and improving the firm's internal applications, the SDE will play a key role in expanding the firm's trading capabilities.

Responsibilities:

• Management & scaling up existing infrastructure for high-frequency market data capture.
• Develop a scalable and consistent data handling infrastructure for the above data to facilitate efficient backtesting of quantitative investment strategies.
• Perform R& D; to build a software platform in Python for backtesting various kind of investment strategies using the above databases.
• This will involve studying the strategy development process and performance evaluation metrics.
• Develop autopilot risk-management systems to monitor live performance of the Portfolio.
• Improve the existing algorithms to achieve better execution price and reduce the latency.

Requirements:

Our ideal candidate would have graduated with a degree in computer science from a top university with 1-3 years industry experience, along with:

• High Level of proficiency in Python and good knowledge of Matlab/C++/C#.
• Past experience in dealing with large datasets and Knowledge of database administration and network programming will be a plus.
• Well-versed in software engineering principles, frameworks and technologies.
• The ability to manage multiple tasks in a fast-paced environment.
• Excellent analytical and problem solving abilities.
• A keen interest in learning about the financial markets.