Data Engineer

Join Our Journey

Jules develops an amazing end-to-end solution for recycled materials traders, importers and exporters. Which means a looooot of internal, structured data to play with in order to provide reporting, alerting and insights to end-users. With about 200 tables, covering all business processes from order management, to payments including logistics, hedging and claims, the wealth the data entered in Jules can unlock is massive. 

As a Data Analyst at Jules AI, you will collaborate with the central analytics team. This role offers the chance to thrive in a fast-paced setting focused on making a significant impact and to engage with a diverse group of talented and dedicated professionals from various fields. Your responsibilities will include creating reports, dashboards, and data models.

Roles And Responsibilities:

• Create, customize, and maintain interactive dashboards, reports, and data visualizations.
• Analyze and describe data sets, sources, and structures; develop reports to enhance data's relevance to business initiatives.
• Conduct quantitative and qualitative analysis of data and communicate findings.
• Develop data models to transform raw data into meaningful insights.
• Design, develop, and deploy dashboards using data visualization tools.
• Own the full BI lifecycle, from requirements gathering, design, and development to release and ongoing support and maintenance.
• Identify repetitive processes and assist in their documentation and automation.
• Manage multiple inputs and priorities while clearly articulating key process flows.

Mandatory Qualifications:

• Graduates from all fields, discover your capabilities!
• 1-3 years of relevant experience in analytics and BI
• Strong knowledge of advanced SQL techniques and data modeling using PostgreSQL
• Extensive experience in developing interactive dashboards and reports
• Basic understanding of data warehouse design and data mining
• Skilled in using data analysis tools and languages, including SQL, Excel, and various data visualization tools
• Strong experience in creating detailed dashboards and managing data access
• Proven track record of manipulating, processing, and deriving value from large datasets
• Experience in developing data product strategies, launching data products, and refining them post-launch
• Effective communication skills with the capability to liaise with various stakeholders across multiple functions
• Excellent communication skills to engage both technical and non-technical audiences
• Robust analytical and problem-solving abilities
• Strong communication and presentation skills
• Keen attention to detail and the ability to work autonomously
• Previous experience in consumer technology or startups is an advantage

Grow, develop and thrive with us 

What we offer 

Work closely with a global team helping bring market intelligence to the recycling world. As a part of our team, we look to foster relationships and help you grow with us. You can also expect: 

• As a global company we treasure and encourage, diversity, perspective, interest, and representation through inclusivity. The more we have, the better the solution. 
• Connect and work with leading minds from the recycling industry and be part of a growing, energetic global team, across time zones, regions, offices and screens. 
• Exposure to developments and tools within your field ensuring evolution in your career and skill building. 
• Flexibility and freedom in how you work along with competitive compensation and yearly appraisal 
• Health insurance coverage, paid vacation days and flexible work hours helping you maintain a work-life balance 
• Have the opportunity to network and collaborate in a diverse community. 

Apply to us directly : https://nyteco.keka.com/careers/jobdetails/43954

Lifespark is looking for individuals with a passion for impacting real lives through technology. Lifespark is one of the most promising startups in the Assistive Tech space in India, and has been honoured with several National and International awards. Our mission is to create seamless, persistent and affordable healthcare solutions. If you are someone who is driven to make a real impact in this world, we are your people.

Lifespark is currently building solutions for Parkinson’s Disease, and we are looking for a ML lead to join our growing team. You will be working directly with the founders on high impact problems in the Neurology domain. You will be solving some of the most fundamental and exciting challenges in the industry and will have the ability to see your insights turned into real products every day

Essential experience and requirements:

1. Advanced knowledge in the domains of computer vision, deep learning

2. Solid understand of Statistical / Computational concepts like Hypothesis Testing, Statistical Inference, Design of Experiments and production level ML system design

3. Experienced with proper project workflow

4. Good at collating multiple datasets (potentially from different sources)

5. Good understanding of setting up production level data pipelines

6. Ability to independently develop and deploy ML systems to various platforms (local and cloud)

7. Fundamentally strong with time-series data analysis, cleaning, featurization and visualisation

8. Fundamental understanding of model and system explainability

9. Proactive at constantly unlearning and relearning

10. Documentation ninja - can understand others documentation as well as create good documentation

Responsibilities :

1. Develop and deploy ML based systems built upon healthcare data in the Neurological domain

2. Maintain deployed systems and upgrade them through online learning

3. Develop and deploy advanced online data pipelines

Technical Skills Required

Mandatory:

• Minimum 10 years of experience in software development with C# and the .Net framework/.net core.

• Experience on building RESTful services and MVC patterns-based web applications, web api and wcf

• Experience in ORM, Document-oriented NoSQL databases or RDMS • Experience with Git (GitHub), automatic deployments, continuous integration

• Expertise on JavaScript, HTML5, CSS, AngularJS, ReactJS, NodeJS, data visualization tools.

• Experience of working on highly scalable SaaS products

• Developed & debugged multi-threaded applications.

• Developed and deployed modules in Azure / Aws Good to have: • Experience in development of reports.

• Developed and deployed modules in Docker / Kubernetes • Experience as scrum owner

• Experience in agile development methodology

• Polyglot

Role and Responsibilities:

• Design, document, develop & test own product.

• Collaborate with team members.

• Care deeply about writing quality/testable/modular code

• Work with various stake holders across teams and prioritize deliverables.

• Drive efficient DevOps practices for full cycle .NET development and deployment.

Soft Skills Required

Mandatory:

• Clarity of thought

• Sincere

• Proactive

• Self-motivated

• Logical bent of mind (Analytical)

• Team player

• Flexible/adaptable

• Strong communication skills (both written and verbal)

• Leader with passion

Are you passionate about pushing the boundaries of Artificial Intelligence and its applications in the software development lifecycle? Are you excited about building AI models that can revolutionize how developers ship, refactor, and onboard to legacy or existing applications faster? If so, Zevo.ai has the perfect opportunity for you!

As an AI Researcher/Engineer at Zevo.ai, you will play a crucial role in developing cutting-edge AI models using CodeBERT and codexGLUE to achieve our goal of providing an AI solution that supports developers throughout the sprint cycle. You will be at the forefront of research and development, harnessing the power of Natural Language Processing (NLP) and Machine Learning (ML) to revolutionize the way software development is approached.

Responsibilities:

1. AI Model Development: Design, implement, and refine AI models utilizing CodeBERT and codexGLUE to comprehend codebases, facilitate code understanding, automate code refactoring, and enhance the developer onboarding process.
2. Research and Innovation: Stay up-to-date with the latest advancements in NLP and ML research, identifying novel techniques and methodologies that can be applied to Zevo.ai's AI solution. Conduct experiments, perform data analysis, and propose innovative approaches to enhance model performance.
3. Data Collection and Preparation: Collaborate with data engineers to identify, collect, and preprocess relevant datasets necessary for training and evaluating AI models. Ensure data quality, correctness, and proper documentation.
4. Model Evaluation and Optimization: Develop robust evaluation metrics to measure the performance of AI models accurately. Continuously optimize and fine-tune models to achieve state-of-the-art results.
5. Code Integration and Deployment: Work closely with software developers to integrate AI models seamlessly into Zevo.ai's platform. Ensure smooth deployment and monitor the performance of the deployed models.
6. Collaboration and Teamwork: Collaborate effectively with cross-functional teams, including data scientists, software engineers, and product managers, to align AI research efforts with overall company objectives.
7. Documentation: Maintain detailed and clear documentation of research findings, methodologies, and model implementations to facilitate knowledge sharing and future developments.
8. Ethics and Compliance**: Ensure compliance with ethical guidelines and legal requirements related to AI model development, data privacy, and security.

Requirements

1. Educational Background: Bachelor's/Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A strong academic record with a focus on NLP and ML is highly desirable.
2. Technical Expertise: Proficiency in NLP, Deep Learning, and experience with AI model development using frameworks like PyTorch or TensorFlow. Familiarity with CodeBERT and codexGLUE is a significant advantage.
3. Programming Skills: Strong programming skills in Python and experience working with large-scale software projects.
4. Research Experience: Proven track record of conducting research in NLP, ML, or related fields, demonstrated through publications, conference papers, or open-source contributions.
5. Problem-Solving Abilities: Ability to identify and tackle complex problems related to AI model development and software engineering.
6. Team Player: Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment.
7. Passion for AI: Demonstrated enthusiasm for AI and its potential to transform software development practices.

If you are eager to be at the forefront of AI research, driving innovation and impacting the software development industry, join Zevo.ai's talented team of experts as an AI Researcher/Engineer. Together, we'll shape the future of the sprint cycle and revolutionize how developers approach code understanding, refactoring, and onboarding!