Computer Vision Engineer

Buildesk is seeking a highly motivated and customer-centric Customer Success Manager to cultivate strong client relationships, drive revenue growth, and ensure exceptional customer satisfaction. The ideal candidate will be adept at understanding client needs, proficient in CRM and ERP systems, and possess a proven ability to foster customer retention and expansion.

Responsibilities:

• Client Relationship Management:Develop and maintain robust, trust-based relationships with Buildesk clients.
• Proactively understand client objectives and challenges to ensure alignment with Buildesk solutions.
• Software Proficiency & Training:Achieve mastery of CRM and ERP workflows to effectively guide clients.
• Provide comprehensive training to clients on Buildesk products and best practices.
• Revenue Growth & Account Management:Drive revenue through proactive outreach, including cold calling and consistent follow-up.
• Identify and pursue opportunities for upselling and cross-selling within existing accounts.
• Market & Product Insight:Conduct market research to understand client-specific CRM application needs.
• Articulate the value proposition of Buildesk products and recommend optimal solutions.
• Issue Resolution & Support:Efficiently address and resolve client inquiries, escalating complex issues as necessary.
• Serve as the primary point of contact for post-sales support, ensuring seamless onboarding and ongoing engagement.
• Proactive Engagement & Retention:Conduct regular client check-ins and provide proactive guidance to maximize product adoption.
• Implement and track engagement strategies to achieve target customer retention (80%) and renewal (70%) rates.
• Customer Health & Churn Mitigation:Monitor key customer health metrics within the CRM to identify and mitigate potential churn risks.
• Outbound Communication:Execute outbound calling and follow-up strategies to nurture leads and client relationships.

Qualifications:

• Proven experience in a Customer Success, Account Management, or related role, preferably within a software or technology company.
• Demonstrated ability to deliver effective product training and support software business models.
• Exceptional communication, interpersonal, and presentation skills, with the ability to serve as a liaison between clients and internal teams.
• A verifiable track record of increasing customer satisfaction, retention, and revenue through proactive engagement.
• Strong analytical and problem-solving skills, with the ability to address client issues promptly and effectively.
• Experience in monitoring customer health metrics and implementing strategies to minimize churn.
• Proficiency in CRM and ERP systems.

•  Strong analytical and problem-solving skills
•  Ability to work independently, learn quickly and be proactive
•  10-14 years of hands-on experience working on Web Full Stack technologies, with at least 4-6 years of experience developing applications with/on React/NextJS, NoSQL, REST APIs
•  Proficiency in JavaScript/TypeDcript (ES6), NodeJS, HTML5, CSS3, CSS Preprocessors, Webpack, Gulp
•  Client-side scripting and JavaScript frameworks – jQUery, ReactJS, Redux, Babel, JSX
•  Experience in designing high-performance REST APIs and associated data structures
•  Familiarity with developing microservices using containerization technologies such as docker, Kubernetes, etc.
•  Working knowledge of git and using branches for development

• Dynamics 365 NAV/Business Central technical development experience.
• AL, C/AL coding experience, basics of .NET development
• RDLC reports development.
• Knowledge of Power BI will be nice to have.
• Basic understanding of Web Services/SOAP/ODATA and other protocols. Able to perform simple integrations if needed.
• Working knowledge of Business Central web services and data integrations
• Minimum of 1-year experience configuring, developing, and delivering Microsoft Dynamics NAV or Business Central software

Elastic is a search company built on a free and open heritage. Anyone can use Elastic products and solutions to get started quickly and frictionlessly. Elastic offers three solutions for enterprise search, observability, and security, built on one technology stack that can be deployed anywhere. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real time and at scale. Thousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems. Founded in 2012, Elastic is a distributed company with Elasticians around the globe and is publicly traded on the NYSE under the symbol ESTC. Learn more at https://www.elastic.co/">elastic.co.

The Observability team is in charge of developing solutions that focus on application developers and engineers that run infrastructure and services supporting these applications. Elasticsearch is an efficient datastore for logs, metrics, and application traces, supporting the three pillars of observability. The Observability team builds and maintains solutions that make getting insights from this data turnkey and efficient, such as our https://www.elastic.co/solutions/apm">APM, https://www.elastic.co/solutions/metrics">Infrastructure Monitoring, and https://www.elastic.co/uptime-monitoring">Synthetics solutions. When developing these solutions, we think about the problem end-to-end: how do we automatically collect data from common data sources, how do we store it efficiently in Elasticsearch, how do we present this information to the user, what actions do we take on the insights from the data? All of these aspects are important in bringing a turnkey solution to the market. 

You will be working on Observability Integrations to collect logs and metrics from all the systems that matter to our users, using the current and next generation of data shippers: Beats and the new Elastic Agent.

Job Location : Bangalore, India

• Work with product management to define the requirements for new https://github.com/elastic/integrations">integrations: data collection strategies, storage optimization, alerting and visualization options, refining requirements, translating requirements to stories and epics, and performing detailed scoping of features
• Develop, maintain and evolve https://github.com/elastic/integrations">integrations for multiple services using the Elastic Stack and https://github.com/elastic/elastic-package">specific tooling. For some projects, contributions to the https://github.com/elastic/beats">beats platform will be needed (Go).
• Work with our support team to help customers troubleshoot and solve their issues in production environments, ensuring SLAs are met.
• Interact with the community and help them use our products.
• Collaborate with other engineering, QA and documentation teams to execute on product deliverables.

• Experience operating or developing monitoring products, such as Elastic (ELK, Elastic Observability),  Prometheus, Grafana, ELK, Datadog, New Relic, etc.
• Proficiency in at least one programming language (Go, Java, PHP, Python, Ruby, C++,  we use Go) with strong analytical, debugging, and troubleshooting skills.
• Excellent verbal and written communication skills and ability to work in a distributed team.
• Experience participating in technical decision-making across different engineering teams.

• Interest in learning new technologies.
• Experience contributing to open source projects.
• Hands-on experience managing cloud services at scale.
• Experience in SRE and / or DevOps roles.
• Experience monitoring or operating container orchestrators (Kubernetes, etc).

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Double your charitable giving - We match up to $1500 (or local currency equivalent)
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

About the job

Our goal

We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)

The culture

We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.

The role:

Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.

On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).

By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.

Responsibilities

• Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
• Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
• Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
• Continually evaluate and improve DevOps processes for a cloud-native codebase.
• Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
• Leverage your industry experience to champion engineering best practices within the organization.

Qualifications

Work Experience

• 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
• Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
• Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
• 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
• Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
• (Bonus: worked with big data in data lakes/warehouses).
• (Bonus: built an end-to-end ML pipeline)

Skills

• Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
• Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
• Strong independent contributor as well as a team player.
• Working knowledge of ML and familiarity with concepts of MLOps

Benefits

• Competitive Salary
• Work Remotely
• Health insurance
• Unlimited Time Off
• Support for continual learning (free books and online courses)
• Reimbursement for streaming services (think Netflix)
• Reimbursement for gym or physical activity of your choice
• Flex hours
• Leveling Up Opportunities

You will excel in this role if

• You have a product mindset. You understand, care about, and can relate to our customers.
• You take ownership, collaborate, and follow through to the very end.
• You love solving difficult problems, stand your ground, and get what you want from engineers.
• Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.

• 5-6 years of proven excellence in IT- Business Development or inside sales.
• Mandate experience in Appointment setting.
• Must have B2B sales experience.
• Shift timings- 5:30pm to 2;30 am IST(8:00 am to 5:00 pm US-EST)
• 6:30 pm to 3:30 am IST ( 9:00am to 6:00pm US- EST)
• Tool Handling - LinkedIn Sales Navigator, Hubspot, Salesforce, Outreach etc

• Location - Remote (PAN INDIA)

Hi All,

We are hiring!!

Company: SpringML India Pvt Ltd.

Role:Lead Data Engineer

Location: Hyderabad  

Website: https://springml.com/">https://springml.com/

About Company:

At SpringML, we are all about empowering the 'doers' in companies to make smarter decisions with their data. Our predictive analytics products and solutions apply machine learning to today's most pressing business problems so customers get insights they can trust to drive business growth.

We are a tight-knit, friendly team of passionate and driven people who are dedicated to learning, get excited to solve tough problems and like seeing results, fast. Our core values include placing our customers first, empathy and transparency, and innovation. We are a team with a focus on individual responsibility, rapid personal growth, and execution. If you share similar traits, we want you on our team.

What's the opportunity?

SpringML is looking to hire a top-notch Lead Data Engineer who is passionate about working with data and using the latest distributed framework to process large dataset.

As a Lead Data Engineer, your primary role will be to design and build data pipelines. You will be focused on helping client projects on data integration, data prep and implementing machine learning on datasets. 

In this role, you will work on some of the latest technologies, collaborate with partners on early win, consultative approach with clients, interact daily with executive leadership, and help build a great company. Chosen team members will be part of the core team and play a critical role in scaling up our emerging practice.

Responsibilities:

•  Ability to work as a member of a team assigned to design and implement data integration solutions.
•  Build Data pipelines using standard frameworks in Hadoop, Apache Beam and other open-source solutions.
•  Learn quickly – ability to understand and rapidly comprehend new areas – functional and technical – and apply detailed and critical thinking to customer solutions.
•  Propose design solutions and recommend best practices for large scale data analysis

Skills:

•  B.tech degree in computer science, mathematics or other relevant fields.
•  6+years of experience in ETL, Data Warehouse, Visualization and building data pipelines.
•  Strong Programming skills – experience and expertise in one of the following: Java, Python, Scala, C.
•  Proficient in big data/distributed computing frameworks such as Apache Spark, Kafka,
•  Experience with Agile implementation methodology