Sales Advisor

Responsibilities:

• Interface with customer to evaluate safety goals, functional safety requirements; specify power electronic inverter controller safety concept
• Perform system safety analysis
• Generate technical safety requirement (detailed product safety requirement)
• Generate power electronics controllers technical safety concept (system architecture)
• Generate executable simulation model to analyze feasibility and verify completeness of technical safety concept
• Perform change management with the customer and internally
• Generate product functional test plan (compliance testing)
• Perform product functional testing on test bench and car
• Support customer test and validation programs

Qualifications:

• University degree in Electrical/Electronic engineering
• Knowledge on ISO26262 system development process is an advantage
• Experience on safety analysis (SFMEA, FTA, FMEDA, SW Freedom from Interference)
• Strong experience in power electronics
• Good experience on developing safety concept to detect sensor, actuator, motor and inverter control function
• Understanding of vehicle electronic requirements and power electronics systems requirements
• Good experience on electrical machine control and L2 torque estimation Matlab simulation
• Good foundation knowledge of both hardware and software
• Good communication skills

RESPONSIBILITIES:

 Requirement understanding and elicitation, analyze, data/workflows, contribute to product

project and Proof of concept (POC)

 Contribute to prepare design documents and effort estimations.

 Develop AI/ML Models using best in-class ML models.

 Building, testing, and deploying AI/ML solutions.

 Work with Business Analysts and Product Managers to assist with defining functional user

stories.

 Ensure deliverables across teams are of high quality and clearly documented. 

 Recommend best ML practices/Industry standards for any ML use case.

 Proactively take up R and D and recommend solution options for any ML use case.

REQUIREMENTS:

Required Skills

 Overall experience of 4 to 7 Years working on AI/ML framework development

 Good programming knowledge in Python is must.

 Good Knowledge of R and SAS is desired.

 Good hands on and working knowledge SQL, Data Model, CRISP-DM.

 Proficiency with Uni/multivariate statistics, algorithm design, and predictive AI/ML modelling.

 Strong knowledge of machine learning algorithms, linear regression, logistic regression, KNN,

Random Forest, Support Vector Machines and Natural Language Processing.

 Experience with NLP and deep neural networks using synthetic and artificial data.

 Involved in different phases of SDLC and have good working exposure on different SLDC’s like

Agile Methodologies.

Responsibilities -

• Collaborate with the development team to understand data requirements and identify potential scalability issues.
• Design, develop, and implement scalable data pipelines and ETL processes to ingest, process, and analyse large - volumes of data from various sources.
• Optimize data models and database schemas to improve query performance and reduce latency.
• Monitor and troubleshoot the performance of our Cassandra database on Azure Cosmos DB, identifying bottlenecks and implementing optimizations as needed.
• Work with cross-functional teams to ensure data quality, integrity, and security.
• Stay up to date with emerging technologies and best practices in data engineering and distributed systems.

Qualifications & Requirements -

• Proven experience as a Data Engineer or similar role, with a focus on designing and optimizing large-scale data systems.
• Strong proficiency in working with NoSQL databases, particularly Cassandra.
• Experience with cloud-based data platforms, preferably Azure Cosmos DB.
• Solid understanding of Distributed Systems, Data modelling, Data Warehouse Designing, and ETL Processes.
• Detailed understanding of Software Development Life Cycle (SDLC) is required.
• Good to have knowledge on any visualization tool like Power BI, Tableau.
• Good to have knowledge on SAP landscape (SAP ECC, SLT, BW, HANA etc).
• Good to have experience on Data Migration Project.
• Knowledge of Supply Chain domain would be a plus.
• Familiarity with software architecture (data structures, data schemas, etc.)
• Familiarity with Python programming language is a plus.
• The ability to work in a dynamic, fast-paced, work environment.
• A passion for data and information with strong analytical, problem solving, and organizational skills.
• Self-motivated with the ability to work under minimal direction.
• Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

Roles & Responsibilities

- Writing good quality code.

- Be able to design ,implement and deploy scalable backend applications on cloud(AWS/Azure).

- Be able to take ownership of projects and deliver them on time.

- Be able to lead a team and mentor junior developers.

Qualifications:

- BE/BTech degree in CS/IT or similar related field.

- 4+ years experience as backend engineer.

- Good knowledge in Python and at least one of the framework - Django, Flask, FastAPI, etc.

- Hands on experience in building microservices applications on AWS/GCP/Azure.

- Good understanding of platforms(Docker, AWS/Azure).

- Must have good understanding of Data Structures/Algorithms/Databases and other CS concepts.

- Experience working in multiple databases and data modelling.

- Experience writing APIs and related technologies like REST, JSON, websockets, grpc etc.

- Should be inquisitive enough picking up any language and frameworks based on need.

- Should be able to design/implement/deploy end-to-end systems.

- Having good knowledge on deploying cloud applications and with Dockers/Kubernetes is a plus.

- Experience building end-to-end analytics systems is a plus.

If a misaligned shadow bothers you, we already like you 😆

• Master's / Bachelor’s degree in Computer Science, Software Engineering, or Self taught developer.
• 3+ years of experience in fundamentals of web, HTML, CSS and JavaScript.
• Familiarity with JavaScript frameworks such as Vue or React.
• Understanding of product design, user experience and skills to recreate and match high quality pixel perfect designs and can go above and beyond in detailing.
• Has ability to build a ground up resoluble components and in-house UI system that can scale across the product.

A collaborative role with Individual ownership ✅

• Ownership of developing UI related features. Work with with the rest of the engineering team to develop, launch or maintain features.
• Take ownership of design <> dev collaboration and participate in the education of both sides.
• Work closely with design team and become a bridge between engineering and design.
• Maintain code integrity.

Role of a Quantitative Trader

Role and Responsibilities:

*Candidate is expected to have a rigorous quantitative aptitude and go-get attitude.

*Candidate will be monitoring closely quantitative models in Derivatives markets and manage the Risk of its open Positions

Requirements:

Education (Candidate should satisfy one of the following)

 B.Sc./M.Sc. Mathematics or B.Sc./M.Sc. Statistics from a reputed college with good grades

 B.Tech with good grades and strong quantitative aptitude

 CFA/FRM Level 1 cleared

 Any other degree with Financial Derivatives as a subject and through knowledge of Options Greeks (Portfolio Level, Risk Management, Hedging)

Preferences:

Following skill sets are not required but candidate will get preference if he/she possesses any of the following:

 Working knowledge of python for historical data analysis or working on real-time analytics getting feed from a web API (Data structures, numpy, scikit-learn, tensor flow)

 MATLAB/R for Time series analysis

 Knowledge of AFL ( Amibroker Formula Language)

Benefits and Advantages for Candidate:

 Steep learning curve

 Extensive training on mathematics of derivatives market

 Dynamic work environment.

 Merit based growth

 Quarterly bonuses Based on Performance post training period (where bonus can surpass the base salary)

Pay Structure:

 Extensive training period(probation period) of 3 months(Stipend Paid during training period INR 20,000)

 Pay Structure post the training period:

Base Salary of 5 Lacs p.a  + Performance Bonuses

Working Hours:

We neither believe in staying unnecessary in office if there's nothing productive to be done nor do we believe in long unproductive lunch breaks.

 Standard Market Hours : 8:45 – 5.00 p.m

 Training Pre and Post market hours

• Play an active role in QA activities during all phases of our product development from requirements elaboration, design/development, test and deployment
• Responsible for manual and automated testing activities for a multi-tier web-based platform. This includes writing test cases based on business requirements, test data creation, creating and maintaining automated scripts to test front-end, APIs and database changes
• Creating and maintaining all QA related documentation throughout the process
• Execution of the test phase consistent with the overall project schedules
• Direct interaction/facilitation of bug resolution with engineering teams
• Work effectively within a dynamic team environment following standards and best practices and ensure the highest level of quality
• Ability to understand the technical architecture, its implementation, design patterns, data representations and infrastructure powering these systems.
• Work closely with software devs and solution architects to understand the tech stack, design and accordingly build the test frameworks, setup infra and build execution models to drive the end-to-end quality efforts of backend systems/services and client apps
• Debug test failures, read through logs, network calls and make preliminary root cause analysis of defect/bug
• Develop test plans, test cases, test design documents with good coverage and optimised testing approach
• Should be able to identify the test cases qualifying for test automation
• Use of tracking tools to log, manage, resolve and report on bugs

Candidate requirements

Must have

• At least 2-4 years of experience in manual and automated quality assurance
• Experience on automation tools like TestNG, Selenium (Grid, parallel, SauceLabs), Mocha_Chai frontend or backend test automation
• Good understanding of REST APIs and a solid experience in testing them
• Tools like Jira, Asana or similar bug tracking tool, Confluence - Wiki, Jenkins - CI tool
• Knowledge of different browsers and cross-platform operating systems
• Keen eye for design and functional UX
• Strong in writing SQL queries
• Proficiency in git
• Ability to develop or maintain applications for test automation
• Excellent written and oral communication and organisational skills with the ability to work within a growing company with increasing needs
• Proven track record of ability to handle time-critical projects

Good to have

• Experience in working in a distributed micro-service environment
• Proficiency in Python, JavaScript or any other programming language
• Hands-on experience in testing frameworks like Pytest or testing platforms like BrowserStack
• Built APIs at some point and practical knowledge on working with them
• Good understanding of CI/CD
• Ability to independently manage test environment deployments and handle issues around it
• Performed load testing of API endpoints
• Should have built an API test automation framework from scratch and maintained it
• Knowledge of cloud platforms like AWS, Azure
• Bachelor's degree in Computer Science / IT / Computer Applications