2D Artist

For a startup run by a serial founder:

Job Description :

- Architect and develop our B2B platform, focusing on delivering an exceptional user experience.

- Recruit and mentor an engineering team to build scalable and reliable technology solutions.

- Work in tandem with co-founders to ensure technology strategies are well-aligned with business objectives.

- Manage technical architecture to guarantee performance, scalability, and adaptability for future needs.

- Drive innovation by adopting advanced technologies into our product development cycle.

- Promote a culture of technical excellence and collaborative spirit within the engineering team.

Qualifications :

- Over 8 years of experience in technology team management roles, with a proven track record in software development and system architecture + Dev Ops

- Entrepreneurial mindset with a strong interest in building and scaling innovative products.

- Exceptional leadership abilities with experience in team building and mentorship.

- Strategic thinker with a history of delivering effective technology solutions.

Skills :

- Expertise in modern programming languages and application frameworks.

- Deep knowledge of cloud platforms, databases, and system design principles.

- Excellent analytical, problem-solving, and decision-making skills.

- Strong communication skills with the ability to lead cross-functional teams effectively.

About TensorIoT

• AWS Advanced Consulting Partner (for ML and GenAI solutions) 
• Pioneers in IoT and Generative AI products. 
• Committed to diversity and inclusion in our teams.  

TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.

TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!

TensorIoT is proud to be an equal-opportunity employer. This means that we are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind and make our hiring decisions based solely on qualifications, merit, and business needs at the time.

Job Description 

At TensorIoT India team, we look forward to bringing on board senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process.

What are the kinds of tasks Data Scientists do at TensorIoT?

As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client. 

Minimum Requirements: 

• Masters + 6 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 8 years of work experience in Machine Learning Engineering 3 years of Cloud Experience.  
• Experience working with Generative AI (LLM), Prompt Engineering, Fine Tuning of LLMs.
• Hands-on experience in MLOps (model deployment, maintenance)
• Hands-on experience with Docker.
• Clear concepts of the following:
• - Supervised Learning, Unsupervised Learning, Reinforcement Learning
• - Statistical Modelling, Deep Learning
• - Interpretable Machine Learning  
• Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis.
• Scientific & Analytical mindset, proactive learning, adaptability to changes. 
• Strong interpersonal and language skills in English, to communicate within the team and with the clients.

Preferred Qualifications: 

• PhD in the domain of Data Science / Machine Learning 
• M.Sc | M.Tech in the domain of Computer Science / Machine Learning 
• Some experience in creating cloud-native technologies, and microservices design. 
• Published scientific papers in the relevant domain of work. 

CV Tips: 

Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following: 

• Focus: 
• More focus on technical skills relevant to the job description. 
• Less or no focus on your roles and responsibilities as a manager, team lead, etc. 
• Less or no focus on the design aspect of the document. 
• Regarding the projects you completed in your previous companies, 
• Mention the problem statement very briefly. 
• Your role and responsibilities in that project. 
• Technologies & tools used in the project. 
• Always good to mention (if relevant): 
• Scientific papers published, Master Thesis, Bachelor Thesis. 
• Github link, relevant blog articles. 
• Link to LinkedIn profile. 
• Mention skills that are relevant to the job description and you could demonstrate during the interview / tasks in the selection process.  

We appreciate your interest in the company and look forward to your application.

1. 3 + years of mobile development - Building and Designing advanced Android applications for Android platform

2. Translate designs and wireframes into high quality code

3. Should have knowledge in MVC/MVVM architecture.

4. Strong knowledge in android SDK, different versions of android and how to deal with different screen sizes.

5. Familiarity with REST ful API's to connect backend servers

6. Strong fundamental knowledge in Core Java and API and DB integrations using Android

Job Requirement

1. 3 + years of mobile development - Building and Designing advanced Android applications for Android platform

2. Translate designs and wireframes into high quality code

3. Should have knowledge in MVC/MVVM architecture.

4. Strong knowledge in android SDK, different versions of android and how to deal with different screen sizes.

5. Familiarity with REST ful API's to connect backend servers

6. Strong fundamental knowledge in Core Java and API and DB integrations using Android

Electrum is looking for an experienced and proficient DevOps Engineer. This role will provide you with an opportunity to explore what’s possible in a collaborative and innovative work environment. If your goal is to work with a team of talented professionals that is keenly focused on solving complex business problems and supporting product innovation with technology, you might be our new DevOps Engineer. With this position, you will be involved in building out systems for our rapidly expanding team, enabling the whole engineering group to operate more effectively and iterate at top speed in an open, collaborative environment. The ideal candidate will have a solid background in software engineering and a vivid experience in deploying product updates, identifying production issues, and implementing integrations. The ideal candidate has proven capabilities and experience in risk-taking, is willing to take up challenges, and is a strong believer in efficiency and innovation with exceptional communication and documentation skills.

YOU WILL:

• Plan for future infrastructure as well as maintain & optimize the existing infrastructure. 
• Conceptualize, architect, and build:
• 1. Automated deployment pipelines in a CI/CD environment like Jenkins;
• 2. Infrastructure using Docker, Kubernetes, and other serverless platforms; 
• 3. Secured network utilizing VPCs with inputs from the security team. 
• Work with developers & QA team to institute a policy of Continuous Integration with Automated testing Architect, build and manage dashboards to provide visibility into delivery, production application functional, and performance status.
• Work with developers to institute systems, policies, and workflows which allow for a rollback of deployments. 
• Triage release of applications/ Hotfixes to the production environment on a daily basis.
• Interface with developers and triage SQL queries that need to be executed in production environments.
• Maintain 24/7 on-call rotation to respond and support troubleshooting of issues in production.
• Assist the developers and on calls for other teams with a postmortem, follow up and review of issues affecting production availability.
• Scale Electum platform to handle millions of requests concurrently.
• Reduce Mean Time To Recovery (MTTR), enable High Availability and Disaster Recovery

PREREQUISITES:

• Bachelor’s degree in engineering, computer science, or related field, or equivalent work experience.
• Minimum of six years of hands-on experience in software development and DevOps, specifically managing AWS Infrastructures such as EC2s, RDS, Elastic cache, S3, IAM, cloud trail, and other services provided by AWS.
• At least 2 years of experience in building and owning serverless infrastructure.
• At least 2 years of scripting experience in Python (Preferable) and Shell Web Application Deployment Systems Continuous Integration tools (Ansible).
• Experience building a multi-region highly available auto-scaling infrastructure that optimizes performance and cost.
• Experience in automating the provisioning of AWS infrastructure as well as automation of routine maintenance tasks.
• Must have prior experience automating deployments to production and lower environments.
• Worked on providing solutions for major automation with scripts or infrastructure.
• Experience with APM tools such as DataDog and log management tools.
• Experience in designing and implementing Essential Functions System Architecture Process; establishing and enforcing Network Security Policy (AWS VPC, Security Group) & ACLs.
• Experience establishing and enforcing:
• 1. System monitoring tools and standards
• 2. Risk Assessment policies and standards
• 3. Escalation policies and standards
• Excellent DevOps engineering, team management, and collaboration skills.
• Advanced knowledge of programming languages such as Python and writing code and scripts.
• Experience or knowledge in - Application Performance Monitoring (APM), and prior experience as an open-source contributor will be preferred.

High-quality source code to program complete applications within deadlines

- Strong integration and architectural knowledge with Agile methodology

- Working closely with other developers, UX designers, business, Testing Team and systems analysts

- Demonstrated experience in leading medium- to large-scale projects to successful completion and implementation

- Involvement in Team management activities with their own work (like code review, team guidance/mentoring, status reporting)

- Build API’s that integrate with all majors ERP, CRM, and other systems

- Be the first point of escalation for technical issues and resolve issues working with stakeholders

- Ability to plan, organize, prioritize and deliver multiple projects simultaneously

What are we looking for:

1. Strong experience in MySQL and writing advanced queries
2. Strong experience in Bash and Python
3. Familiarity with ElasticSearch, Redis, Java, NodeJS, ClickHouse, S3
4. Exposure to cloud services such as AWS, Azure, or GCP
5. 2+ years of experience in the production support
6. Strong experience in log management and performance monitoring like ELK, Prometheus + Grafana, logging services on various cloud platforms
7. Strong understanding of Linux OSes like Ubuntu, CentOS / Redhat Linux
8. Interest in learning new languages / framework as needed
9. Good written and oral communications skills
10. A growth mindset and passionate about building things from the ground up, and most importantly, you should be fun to work with

As a product solutions engineer, you will:

1. Analyze recorded runtime issues, diagnose and do occasional code fixes of low to medium complexity
2. Work with developers to find and correct more complex issues
3. Address urgent issues quickly, work within and measure against customer SLAs
4. Using shell and python scripts, and use scripting to actively automate manual / repetitive activities
5. Build anomaly detectors wherever applicable
6. Pass articulated feedback from customers to the development and product team
7. Maintain ongoing record of the operation of problem analysis and resolution in a on call monitoring system
8. Offer technical support needed in development