Sales Manager

About The Company:

Dolat is a dynamic team of traders, puzzle solvers, and coding enthusiasts focused on tackling complex challenges in the financial world. We specialize in trading in volatile markets and developing cutting-edge technologies and strategies. We're seeking a skilled Linux Support Engineer to manage over 400 servers and support 100+ users. Our engineers ensure a high-performance, low-latency environment while maintaining simplicity and control. If you're passionate about technology, trading, and problem-solving, this is the place to engineer your skills into a rewarding career.

Qualifications:

• B.E/ B.Tech
• Experience: 1-3 years.
• Job location – Andheri West, Mumbai.

Responsibilities:

• Troubleshoot network issues, kernel panics, system hangs, and performance bottlenecks.
• Fine-tune processes for minimal jitter in a low-latency environment.
• Support low-latency servers, lines, and networks, participating in on-call rotations.
• Install, configure, and deploy fully-distributed Red Hat Linux systems.
• Deploy, configure, and monitor complex trading applications.
• Provide hands-on support to trading, risk, and compliance teams (Linux & Windows platforms).
• Automate processes and analyze performance metrics to improve system efficiency.
• Collaborate with development teams to maintain a stable, high-performance trading environment.
• Drive continuous improvement, system reliability, and simplicity.
• Resolve issues in a fast-paced, results-driven IT team.
• Provide level one and two support for tools systems testing and production release.

Skills Required:

• Expertise in Linux kernel tuning, configuration management (cfengine).
• Experience with hardware testing/integration and IT security.
• Proficient in maintaining Cisco, Windows, and PC hardware.
• Good knowledge in Perl, Python, Powershell & Bash.
• Hands-on knowledge of SSH, iptables, NFS, DNS, DHCP, and LDAP.
• Experience with Open Source tools (Nagios, SmokePing, MRTG) for enterprise-level systems.
• Knowledge of maintaining Cisco ports/VLANs/dot1.x
• Solid understanding of OS and network architectures.
• REDHAT Certification and SQL/database knowledge.
• Ability to manage multiple tasks in a fast-paced environment.
• Excellent communication skills and fluency in English.
• Proven technical problem-solving capabilities.
• Strong documentation and knowledge management skills.
• Software development skills are a bonus.
• Preferred SQL and database administration skills.

Industry

• Financial Services

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.

Position Overview:

We are seeking a dedicated and experienced Customer Relationship Manager to join our team. The ideal candidate will have 2 to 5 years of hands-on experience in customer relationship management and will be responsible for building and maintaining strong, long-lasting relationships with our clients. As a Customer Relationship Manager, you will play a pivotal role in ensuring exceptional customer experiences and driving customer satisfaction. If you have a passion for customer-centricity and the skills to back it up, we'd like to hear from you.

Responsibilities:

● Develop and implement an end-to-end CRM campaign/journey to drive user acquisition and engagement.

● Proactively communicate with customers to gather feedback, address inquiries, and improvise the strategy.

● Monitor and analyse customer behaviour and feedback to identify opportunities for improvement.

● Track and report on key performance metrics related to CRM campaigns and journeys

Ideal Candidate:

● 2-5 years of experience in handling CRM tools

● Strong understanding of CRM software like Hubspot, Clevertap, Gupshup etc.

Business Development is a critical aspect of our platform business.

1. Actively seeking out new sales opportunities through cold calling, networking, and social media.

2. Calling 65-70 leads every day

3. Setting up meetings with potential clients (parents)

4. Generating Trial Classes - Pitch Parents to take PlanetSpark Trial Classes

5. Negotiate/close deals and handle complaints or objections

6. Follow and achieve the department’s sales goals on a monthly, quarterly, and yearly basis (3L revenue per month)

7. “Go the extra mile” to drive sales

What are we looking for?

Job description:

• As a Technical project manager to drive the workplace components in a project/program for a new or existing client
• Manage project team and resource allocation
• Ability to lead project teams in a highly matrix environment
• Adapts to changing circumstances, adopting different roles according where appropriate to fit with a new (customer) environment.
• Experiments with new ways of doing things and takes a positive approach to change.
• Strong experience in HTML, JavaScript, CSS, jQuery, WEB API, NET with C#
• Strong experience in angular 2 and above
• Proficient in working with Microsoft SQL Server
• Experience in developing web applications using Angular
• Strong logical, analytical and problem-solving skills
• Strong background in building web applications
• Manage the project from the initial pre-sales handover to early life support.
• Manage all aspects of the project implementations including project rollouts, resource tracking, budget management, schedule development, cost/ budget analysis, cross discipline coordination and communications
• Excellent communication skills

If you are Interested Kindly, share your updated CV with following details. So that we can have a quick Telephonic Conversation and Set up your Technical Screening or Interview ASAP.

# About Us

It is **Slack for Construction Industry** that helps construction project owners and contractors track on-site progress in real-time to finish projects on time and in the budget. We aim to bring the speed of software development to infrastructure development.

Founded by IIT Roorkee alumni and backed by industry experts, we are on a mission to help the second largest industry in India-Construction make a transition from pen and paper to digital.

# About the team

As a productivity app startup, we value productivity and ownership most. That helps raise our own bar and the bar of people we hire.

We follow agile and scrum approaches for product development and use best of class tools and practices. Measuring our progress on a weekly basis and iterating fast enables us to build breakthrough modules and features rapidly.

If you join us, You will be constantly throw in difficult situations. Decisions that you take, will directly impact our clients and sales. That's how we learn.

# Requirements -

- 1-3 years of experience testing

- Good with testing concepts, understands test life cycle

- Good bug reporting and communication skills

- Understands release process and past experience of release process

- Understanding the business criticality & being Flexible

- Sound knowledge on Compatibility testing

- Hands on experience on both Web and Mobile platforms

# Responsibilities -

- Domain/Product knowledge would be an added value

- Automation skills for mobile application is an added advantage

- Knowledge and experience on debugging tools (Adb, Xcode, Jmeter, etc.)

As a Director Engineering, your role & responsibility will include the following.  

• Define the product roadmap and delivery planning. 
• Provides technical leadership in design, delivery, and support of product software and platforms. 
• Participate in driving technical architectural decisions for the product.  
• Prioritization of the features and deliverable artifacts 
• Augmentation of the product development staff.  
• Mentor managers to implement best practices to motivate and organize their  teams. 
• Prepare schedules, report status as well as make hiring decisions. 
• Ensure to provide proven ability to evaluate and improve software development  best practices. 
• Provide DevOps and other processes to assure consistency, quality and  timeliness. 
• Participate in interviewing as well as hiring final decisions. 
• Guide and provide input to all strategic as well as technical planning for entire  products. 
• Monitor and provide input for evaluation and prioritize change requests.
• Create and monitor the set of policies that establish standard development  languages, tools, and methodology; documentation practices; and examination  procedures for developed systems to ensure alignment with overall architecture.' 
• Participate in project scope, schedule, and cost reviews. 
• Understand and socialize product capabilities and limitations. 
• Identify and implement ways to improve and promote quality and demonstrate  accuracy and thoroughness. 
• Establish working relationships with external technology vendors. 
• Integrate customer requirements through the engineering effort for championing  next generation products. 
• Quickly gain an understanding of the company's technology and markets,  establish yourself as a credible leader. 
• Release scheduling. 
• Keeps abreast of new technologies and has demonstrated knowledge and  experience in various technologies. 
• Manage 3rd party consulting partners/vendors implementing products. 
• Prepare and submit weekly project status reports; prepare monthly reports  outlining team assignments and/or changes, project status changes, and  forecasts project timelines.
• Provide leadership to individuals or team(s) through coaching, feedback,  development goals, and performance management. 

• Prioritize employee career development to grow the internal pipeline of leadership  talent. 
• Prioritize, assign, and manage department activities and projects in accordance  with the department's goals and objectives. Adjust hours of work, priorities, and  staff assignments to ensure efficient operation, based on workload. 

Qualification & Experience  

• Master’s or bachelor’s degree in Computer Science, Business Information  Systems or related field or equivalent work experience required. 
• Relevant certifications also preferred among other indications of someone who  values continuing education. 
• 15+ years’ experience "living" with various operating systems, development tools  and development methodologies including Java, data structures, Scala, Python,  NodeJS 
• 8+ years of individual contributor software development experience.
• 6+ years management experience in a fast-growing product software  environment with proven ability to lead and engage development, QA and  implementation teams working on multiple projects. 
• Idea generation and creativity in this position are a must, as are the ability to  work with deadlines, manage and complete projects on time and within budget. 
• Proven ability to establish and drive processes and procedures with quantifiable  metrics to measure the success and effectiveness of the development  organization. 
• Proven history of delivering on deadlines/releases without compromising quality. 
• Mastery of engineering concepts and core technologies: development models,  programming languages, databases, testing, and documentation. 
• Development experience with compilers, web Services, database engines and  related technologies. 
• Experience with Agile software development and SCRUM methodologies. 
• Proven track record of delivering high quality software products. 
• A solid engineering foundation indicated by a demonstrated understanding of  
• product design, life cycle, software development practices, and support services.  Understanding of standard engineering processes and software development  methodologies. 
• Experience coordinating the work and competences of software staff within  functional project groups. 
• Ability to work cross functionally and as a team with other executive committee  members. 
• Strong verbal and written communication skills. 
• Communicate effectively with different business units about technology and  processes using lay terms and descriptions.  
•  
• Experience Preferred: 
• Experience building horizontally scalable solutions leveraging containers,  microservices, Big Data technologies among other related technologies. 
• Experience working with graphical user experience and user interface design. 
• Experience working with object-oriented software development, web services,  web development or other similar technical products. 
• Experience with database engines, languages, and compilers  
• Experience with user acceptance testing, regression testing and integration  testing. 
• Experience working on open-source software projects for Apache and other great  open-source software organizations. 
• Demonstrable experience training and leading teams as a great people leader.
•  

• Lead and design solutions for complex testing problems by driving the requirements discussions with existing customers
• Conceptualize, design, develop and present the proposed solution; ensuring an integrated end-to-end testing solution is delivered 'right first time'
• Responsible for end to end pre-sales pursuit management in coordination with cross functional teams such as sales, delivery, horizontals, networking, marketing and process teams in global delivery model for the existing accounts
• Stay up to speed on process, practice and technology developments to ensure they enhance the solutions applied to the testing problems
• Act as a technical liaison between prospects, clients, quality engineering teams and management
• Engage with the customer build professional relationship; participate in teleconferences; lead customer workshops and presentations
• Mentor and train team members on domain and technology, help resolve any technical issues
• Travel to customer location across the geography to participate in proposal / RFP / SOW defense discussions and presentations
• Lead continuous improvement activities through contribution to technology repositories, supporting process change, leading transformational changes and driving re-use

Good to have Skills / Experience

• 14-18 years proven experience as a Solution Architect on large-scale testing accounts
• Experience as a Solution Architect or senior SME leading the development of solutions for testing complex systems, ensuring consistency with specified requirements agreed with both external and internal customers.
• Awareness of testing approaches, practices, techniques and methodologies to help design the overall testing solution
• Ability to have conversation with client (key stakeholders or key technologist at client). Ability to drive the discussion and arrive at conclusion
• The ability to see the big picture and manage multiple threads at the same time
• Well-versed in continuous integration, continuous delivery and continuous testing
• Understand and plan for commercial aspects and impact on winnability and deliverability of the solution
• In depth knowledge of one or more technical specializations including - quality engineering, release management, test environment management, test automation, test data management, testing approaches and test execution, performance engineering, development operations.
• Experience with all SDLC (Agile, Scaled Agile, DevOps) and engagement models
• Strong stakeholder relationship management and the confidence to initiate and influence relationships with and between key stakeholders
• Know the art of negotiation, persuasion and deal management

• Developing telemetry software to connect Junos devices to the cloud
• Fast prototyping and laying the SW foundation for product solutions
• Moving prototype solutions to a production cloud multitenant SaaS solution
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics specialists to strive for greater functionality in our data systems.

Qualification and Desired Experiences

• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• 5+ years experiences building data pipelines for data science-driven solutions
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent interpersonal skills written, verbal and presentation
• Create and maintain optimal data pipeline architecture,
• Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Previous work in a start-up environment
• 3+ years experiences building data pipelines for data science-driven solutions
• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and interpersonal skills.
• Experience supporting and working with multi-functional teams in a multidimensional environment.