Product Manager

• Structured Query Language (SQL), e.g. SQL/PSM, Transact-SQL queries, writes SQL scripts in SQL Server 2000/2005/ 2012/ 2016, etc.
• 1+ years in Cloud Database services like AWS Dynamo DB / RDS
• Excellent Troubleshooting skills of existing functional implementation to derive leaner solutions and effective performance between applications software, systems software, and installed hardware.
• Database instance maintenance tasks such as DB Integrity Checks, Index Maintenance.
• High availability like clustering, log shipping, mirroring, replication.
• Backup and disaster recovery, Capacity planning and performance monitoring, Physical database structure, RDMS administration roles, instances, profiles, and security connectivity.
• Developing, implementing, maintaining, and following change control and testing processes for modifications to databases.
• Establishing backup and recovery or replication plans to minimize data loss and system downtime.
• Improving data quality through data analysis, monitoring, gap analyses, and working with the teams to provide solutions and resolve errors.
• Maintaining data integrity and security (manage roles and permissions of database users).
• Reviewing the security logs from the SQL Server Error Logs to determine if you had a breach or a violation in one of your policies.
• Ensures optimal database performance and availability.

·      Creation & maintenance of Databases in AWS.

What we are looking

• You must have experience in Python, including development of microservices using flask/fastapi/sanic.
• You hold knowledge of at least one Python web frameworks
• You have experience in NoSQL databases such as MongoDB
• You are familiar with relational databases and unstructured data.
• You are familiar with some ORM (Object Relational Mapper) libraries.
• You have prior exposure to code versioning tools such as Git.
• You understand fundamental design principles behind a scalable application

Good to have

• Experience in cloud services such as AWS
• Knowledge of user authentication and authorization between multiple systems, servers, and environments
• Understanding of the threading concepts in Python and multi-process architecture

What you'll do

• Create database schemas that represent and support business processes
• Integrate multiple data sources and databases into one system.
• Develop and integrate RESTful APIs and services for business use cases
• Perform unit and integration tests on developed modules

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 assist companies to realize the value and efficiency of the AWS ecosystem. From building Proof of Concepts and Product Prototypes to production-ready applications, we analyze complex business problems every day and develop solutions to drive customers’ success.

The founders of TensorIoT, have previously helped build world-class IoT and AI platforms in AWS and Google. Our mission now is to help connect devices and make them intelligent. We firmly believe in the transformative power of smart devices to enhance our quality of life. 

TensorIoT is proud to be an equal opportunity employer. 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 the TensorIoT India team, we look forward to bringing on board mid-level and 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. Please note: A candidate needs to qualify at least 4 of the 7 preferred qualifications listed below, to be eligible for the task / first round of interviews. 

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. 

Preferred Requirements: 

• PhD in the domain of Data Science / Machine Learning 
• M.Sc | M.Tech in the domain of Computer Science / Machine Learning 
• Hands-on experience in MLOps (model deployment, maintenance). 
• Some experience working with Generative AI (LLM). 
• Some experience in creating cloud-native technologies, and microservices design. 
• Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis. 
• Hands-on experience with Docker.

Minimum Requirements: 

• Masters + 3 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 5 years of work experience in Machine Learning Engineering 1 year of Cloud Experience. 
• Clear concepts of the following:
• - Supervised Learning, Unsupervised Learning, Reinforcement Learning
• - Statistical Modelling, Deep Learning
• - Interpretable Machine Learning
• - Linear Algebra 
• Scientific & Analytical mindset, proactive learning, adaptability to changes. 
• Strong interpersonal and language skills in English, to communicate within the team and with the clients. 

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.

• Make Business Trend Analysis based on past trends & current market conditions

• Working on Effective Budgeting of the Company

• Scheduling – Operational process improvisation.

• To Provide Business data Analysis & Intelligence support including to the Management.

• Identify Gaps, identify the problems, Analyse root cause and then suggest solutions which should increase the efficiency of the business process. Monthly Business transfer report.

• Ensure proper maintenance of historic data which can be made easily available for any reference & Trend Study

• Introduce / modify the business reports basis business dynamics and the requirement to develop effective reporting.

• Pricing Strategies and Rate Management

• Competition Mapping and Analysis

• Planning Events and special Initiatives to drive incremental business apart from Regular advertising.

• To keep a track on Rate Approval, Deal, Rate Contract, State centric Events & Initiatives
  
  

  TECHNICAL SKILLS

  • MS-Office 365 (Excel, Word, PowerPoint).

  • Google Doc/Google Sheet/G Suite, Google Slides.

  • Advanced Excel & Power Pivot, Power BI.

  • Data Visualization on Excel

   

Be a part of the growth story of a rapidly growing organization in AI. We are seeking a passionate Machine Learning (ML) Engineer, with a strong background in developing and deploying state-of-the-art models on Cloud. You will participate in the complete cycle of building machine learning models from conceptualization of ideas, data preparation, feature selection, training, evaluation, and productionization.

On a typical day, you might build data pipelines, develop a new machine learning algorithm, train a new model or deploy the trained model on the cloud. You will have a high degree of autonomy, ownership, and influence over your work, machine learning organizations' evolution, and the direction of the company.

• Bachelor's degree in computer science/electrical engineering or equivalent practical experience
• 7+ years of Industry experience in Data Science, ML/AI projects. Experience in productionizing machine learning in the industry setting
• Strong grasp of statistical machine learning, linear algebra, deep learning, and computer vision
• 3+ years experience with one or more general-purpose programming languages including but not limited to: R, Python.
• Experience with PyTorch or TensorFlow or other ML Frameworks.
• Experience in using Cloud services such as AWS, GCP, Azure. Understand the principles of developing cloud-native application development

• Design and implement ML components, systems and tools to automate and enable our various AI industry solutions
• Apply research methodologies to identify the machine learning models to solve a business problem and deploy the model at scale.
• Own the ML pipeline from data collection, through the prototype development to production.
• Develop high-performance, scalable, and maintainable inference services that communicate with the rest of our tech stack

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.
•  

Job Description

Timings :  1.30 PM to 10.30 PM

Exp        : 10 - 15 Years Responsibilities : 

• Work directly with Velosio clients to gather functional requirements, identify functional gaps, develop functional design documents and related solution design, and configure Microsoft Dynamics 365 BC software to meet business requirements
• Utilize ERP implementation standards and tools/documents
• Convert data from legacy system into Dynamics BC ERP system
• Demonstrate our Dynamics BC ERP product to existing and prospective clients; provide user training and support throughout implementation
• Provide post implementation support
• Attain product certifications as necessary
• Provide training and mentor-ship to junior level (Associate Consultants)
• Maintain Velosio core competencies: client focus, knowledge and skills, driving results, communication, teamwork and relationships, personal excellence, business insight, leadership, coaching and developing others

Qualifications :

• Bachelor’s Degree in Accounting, Computer Science, Information Systems, or closely related technical field
• Dynamics BC implementation experience and/or participation in at least 5 full life cycle implementation or 10+ years ERP implementation experience
• Experience with modeling business process and translating requirements into a business application
• Excellent presentation and communication skills targeted to effectively present information to C-level management, public groups, and/or board of directors
• Excellent organizational skills, attention to quality, self-motivation, and a desire to succeed
• Possess a professional presence suitable for direct client interaction by telephone or in-person