Director of Engineering(Females Candidates Only)

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.

One of our premium-based customers, we are looking to hire a team of Azure .Net Architects in Bangalore/Pune/Noida, looking for Tech Geeks, who have 14+ years of experience full-time.

PFB the JD: Proven Full Stack development skills and have solid business acumen and hands-on experience in architecting solutions

-14+ years Exp

-Expertise in designing and developing Cloud Native applications using Azure Services and managing IaC using Terraform modules and ARM templates

 -Cloud Technologies: Azure Services(-(Paas Services, At least experience in some of the services is good enough - Logic Apps, API Management Service, Microsoft Graph API, Azure AD, Azure functions, Cosmos db(mongo db API), Event hub, Stream Analytics, Azure SQL Server, Azure storage table, Azure Storage Queue, Azure blob storage, Azure Event grid, Azure App Service, Application Insights, Azure ARM templates, Azure Worker Roles, Azure web jobs, Azure Relay services, Azure KeyVault, Azure App Services, Logic Apps)

- App Service, Azure Functions, VMs, ASF, AKS, Azure Container Registry, Key Vault, Cosmos DB, Azure SQL, Azure AD, Azure B2C and B2B, APIM, Azure Monitor and App insight

-Containerization tools: Docker, Azure Kubernetes Services, Azure Container Registry

-Infrastructure as Code tools: Terraform, and ARM templates

-DevOps tools: Azure DevOps, CI/CD using Git and Azure Pipeline, Azure Repos

-Microsoft Technologies: ASP.NET Core, .NET Core Web API, .NET, ASP.Net MVC, ADO.Net, TPL, LINQ, PLINQ, WCF Services, ASP .Net Web API, Angular

-Databases: NoSQL/document Databases Azure Cosmos DB, Oracle

 -Strong experience in SQL -Experience in Integration or service layer is recommended

A YCombinator-backed B2B agri-tech startup, is seeking an experienced and motivated Director of Engineering to lead our engineering team. The ideal candidate should have a strong background in leadership, with a focus on defining processes, building teams, and working closely with founders to put together the tech roadmap.

Responsibilities:

• Lead the engineering team and drive the delivery of high-quality software products that meet business objectives.

• Define and implement engineering strategies, goals, and objectives that align with business priorities.

• Work closely with the founders to develop and execute the tech roadmap.

• Architect, design, and develop new features and maintain existing codebase.

• Ensure that the software is designed, developed, and delivered on time, within budget, and to the highest quality standards.

• Foster a culture of innovation, collaboration, and continuous improvement.

• Develop and manage project plans, timelines, and budgets.

• Hire, mentor, and manage engineering talent.

• Collaborate with cross-functional teams to deliver new products and features that meet customer needs.

• Define and implement engineering processes that support the organization's growth and scalability.

Qualifications:

• 5+ years of experience in software engineering, with a focus on web and mobile applications. Proven experience in leading engineering teams and defining processes.

• Strong knowledge of Node.js in the backend and React in the frontend.

• Experience in microservices architecture and RESTful APIs.

• Strong knowledge of agile methodologies and software development best practices.

• Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

• Experience in managing and delivering projects on time and within budget.

• Strong problem-solving and analytical skills.

• Passion for agriculture and sustainability.

If you're a highly experienced engineering leader with a passion for agriculture and sustainability, we want to hear from you. Apply now to join our team as the Director of Engineering.

Since 1988 Quicken has been the top personal management software for millions of consumers. We pioneered a radically easier and faster way for people to manage their household finances. Since then we’ve continued to focus on delighting customers and making the Quicken product and experience better than ever.

Job Title:        Senior Data Engineer

Location:        Bangalore, India

Department:  Product Development

Quicken is the #1 personal finance management software with a 30-year heritage of helping millions of individuals and families stay on top of their finances. We are working on a strategy to deliver awesome personal finance experience to our customers across Windows, Mac, iOS, Android, and Web.

The successful candidate will join a fast-paced software development team building the next generation of Quicken Data Platform. The team uses the latest software development technology and tools.

If you are looking to be part of a high-performing team at the heart of a fun, energetic, and innovative company, come join the Quicken Team!

Responsibilities:

This is an opportunity to be a highly visible and key contributor on a small and passionate team delivering innovative data platform solutions across the company. You’ll help shape and deliver on an aggressive and innovative roadmap in areas key to Quicken’s continued success and growth.

• Senior Data Engineer role is a technical hands-on role. The responsibilities range from being at the vanguard of solving technical problems to venturing into unchartered areas of technologies to solve complex problems.
• Implement, or operate comprehensive data platform components to balance optimization of data access with batch loading and resource utilization factors, per customer requirements.
• Develop robust data platform components for sourcing, loading, transformation, and extracting data from various sources.
• Build metadata processes and frameworks.
• Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.
• Maintain standards, such as organization, structure, or nomenclature, for data platform elements, such as data architectures, pipelines, frameworks, models, tools, and databases.
• Implement business rules via scripts, middleware, or other technologies.
• Map data between source systems and data lake
• Ability to be independent and product high quality code on components related to the Data Platform. Should also possess Creativity, Responsibility, and Autonomy.
• Participate in the planning, design, and implementation of features, working with small teams that consist of engineers, product managers, and marketing.
• Demonstrate strong technical talent throughout the organization and engineer products that meet future scalability, performance, security, and quality goals while maintaining a cohesive user experience across different components and products.
• Adopt and share best practices of software development methodology and frameworks used in data platform.
• Passion for continuous learning, experimenting and applying cutting edge technology and software paradigms. Also responsible for fostering this culture across the team.

Qualifications: 

• 3+ years of hands-on experience with data platform technologies and tools
• Extensive experience in Python
• Should be comfortable with using REST APIs
• Experience in  at  least  2  of  the  3  stages  of  any  big  data  pipeline  -  data

ingestion/acquisition, data processing/transformation and data visualization

• Experience in  database  user  interface  and  query  software  -  Structured  query language (SQL)
• Experience in one or more structured DBMS along with data modelling – MySQL
• Nice to have working experience in big data processing frameworks like Spark
• Nice to have working knowledge on visualization tools like Tableau, Kibana, Amazon QuickSight
• Nice to have familiarity in AWS EMR, Kinesis, EC2, S3, AWS Glue
• Experience working with geographically distributed teams across different time zones
• Strong communication skills, both oral and written whether in-person or virtual
• Experience with Agile methodologies
• Bachelor’s degree in computer science or other technical discipline, or equivalent experience

What we offer:

• Competitive salary and performance bonus
• Amazing culture, strong believers in Autonomy/Mastery/Purpose
• Customer-driven, we make money by building the best products for our users. No confusion about how to win – build amazing products!
• Ability to work with and learn from some incredible talent
• Highly recognizable brand

We are looking for an Engineering Manager, who adopts a hands-on approach and loves to build scalable, distributed and large web / mobile products. You would be responsible for designing the architecture, reviewing the code, building the technology and deploying web/mobile applications.

• Own the product development from
• Design and implementation of low-latency, high-availability, and performant
• Contribute to discussion on software architecture while mentoring a team of
• Participate in code reviews, design reviews, SCRUM ceremonies, and troubleshooting to ensure uptime for live systems
• Lead teams in the development of new products, solutions, processes, and implementation of cost management
• Communicates technical information to stakeholders, including investors and potential customers.

• Bachelor's degree in a technology-related field from a premier
• Prior 7+ years of relevant experience in a start-up or a dynamic work
• Proven supervisory and technical
• Good exposure in writing and optimizing SQL for high-performance
• Understanding of asyncio and eventloop/ uvloop concepts. Knowledge of frameworks such as Quart/ Fastapi/ Starlette is
• Past use of Agile/Scrum or similar collaborative
• Knowledge of AWS; Caching technologies like Redis, Memcache; ELK; mySQL Databases, etc.
• Strong understanding of System Design, Microservice Architecture, Kafka, Pub/Sub, Message queues, and in-memory data stores
• Customer oriented, responsive to changes, and able to multi-task in a fast-paced environment.

• Master’s degree in engineering or MBA a plus

What you need to have: