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Company Description
Nirmitee.io is a pioneering tech company based in Pune, revolutionizing the Healthtech and Fintech industries with smarter and faster solutions. Specializing in product engineering and software development, we empower businesses to scale their vision through cutting-edge technology and innovative solutions. Our focus on resilience, innovation, and digital transformation ensures impactful and lasting results for our partners.
Role Description
This is a full-time on-site role for a Business Development Executive at Nirmitee.io in Pune. The Business Development Executive will be responsible for new business development, lead generation, business communication, and account management on a day-to-day basis.
Required:
- Experience: 2-4 years
- IT sales experience for IT products and services
- Handling overseas clients is required.
- Experience in using Upwork and LinkedIn is a must.
Responsibilities:
- Market Research: Conduct market research to identify potential clients and industries for business development opportunities.
- Lead Generation: Generate leads through various channels such as cold calling, email campaigns, Upwork, Linkedin, and networking events.
- Client Engagement: Build and maintain relationships with prospective clients through effective communication and follow-up to understand their needs and requirements.
- Proposal Preparation: Assist in preparing proposals, presentations, and pitches for potential clients, highlighting the company's products or services.
- Sales Support: Provide support to the sales team in identifying opportunities, preparing sales collateral, and coordinating meetings with clients.
- Pipeline Management: Manage and maintain a pipeline of leads and opportunities, tracking progress and updating CRM systems accordingly.
- Continuous Learning: Stay updated on industry trends, market developments, and competitor activities to identify new business opportunities and improve sales strategies.
Qualifications:
- Bachelor's degree in Business Administration, Marketing, or a related field.
- Strong communication and interpersonal skills.
- Excellent organizational and time management abilities.
- Ability to work independently and as part of a team.
- Proactive attitude with a drive to achieve targets and goals.
Job Details for Service Manager
Job Title : Service Engineer
Department : BMS (Building Management System)
Location : Mumbai/Pune/Banglore
Experience : 3-5 Years in BMS Service Industry
Desired Qualification: Diploma, Degree in Engineering
Skills Required : _______________
Salary : As per Company Norms
Job Overview:
BMS Service Manager is responsible for overseeing the operation, maintenance, and optimization of building management systems, which control and monitor various aspects of building. The role is important for ensuring the smooth functioning of a building's systems and providing service and Operation support.
Responsibilities:
Ø Manage and supervise a team of service engineers and technicians who perform maintenance and service tasks on BMS equipment’s.
Ø Ensure the availability of spare parts and resources necessary to perform repairs and maintenance activity for complete cycle.
Ø Set objectives, monitor team performance, and ensure work is completed on time and to required standards.
Ø Oversee the delivery of preventative and corrective maintenance services for BMS systems.
Ø Ensure compliance with Service Level Agreements (SLAs) and contractual commitments with clients.
Ø Coordinate and schedule routine maintenance checks and emergency repairs for BMS-related systems.
Ø Serve as the primary point of contact for clients regarding BMS service-related inquiries and issues.
Ø Build and maintain strong relationships with clients by providing exceptional customer service and addressing concerns proactively.
Ø Conduct regular client meetings and reviews to ensure satisfaction with the service provided.
Ø Support clients in upgrading their BMS systems with new technologies or integrating Provide high-level technical support for service-related issues, troubleshooting complex problems that may arise within BMS systems.
Ø Ensure that all BMS systems and operations comply with safety regulations, building codes, and industry standards.
Ø Maintain accurate records of maintenance activities, service reports, and equipment performance.
Ø Generate regular reports for clients and management on system status, service outcomes, and energy usage.
Ø Track and report on budgetary performance, costs, and resource allocation, invoicing and AR collection from time to time.
Ø Assist with the development and management of the BMS service department's budget.
Ø Ensure that service operations are cost-effective and within the budget while maintaining high standards.
Ø Identify areas for continuous improvement in BMS services and processes.
Ø Stay up to date with the latest technological advancements in building management systems and incorporate them into service offerings.
Job Title: Kafka Architect
Experience range:- 8+ Years
Location:- Pune
Experience :
Kafka Architect with kafka connect, kafka Streaming, Ecosystem and any scripting language
Kafka Brokers, Kafka Connect, Schema Registry, and Zookeeper (or KRaft)
- Knowledge on CAMPUS LAN Architecture and implementation
- Having exposure to Cisco’s latest technologies like SDA, DNAC
- Hand-on experience on designing and implementing Cisco SDA
- Strong Routing & Switching, Cisco SDA, DNAC, Cisco ISE skillset is a must.
- Hands On expertise on Cisco Prime, ISE, Cisco Meraki
- Hands on and troubleshooting SDA
- Experience on L 3
Javascript
HTML/CSS
PHP
AngularJS (1.x)
LaravelJavascript
.NETServiceNow,ITSM + CSM
Role Purpose The role holder is responsible for developing ServiceNow services, applications and modules, which satisfy the agreed requirements/stories and acceptance criteria, in collaboration with the Lead Consultant and Engagement Manager, on customer projects. The role holder will ensure that Fujitsu is seen as a trusted ServiceNow delivery partner and project activities are successfully delivered as sold, generating positive customer feedback and unpinning further business growth.Key Accountabilities 1.Product Development. In-depth knowledge of the ServiceNow Platform (2 years), from the technology, development, integration and modules, to design, develop, implement and test modules in line with agreed timelines, budget, costs, quality and development standards.2.IT Integration. Provides integration facilities and provisions logistics on ServiceNow implementation projects, for the required customer integrations.3.Process Improvement. Suggests and implements proposals for process improvements within projects, once agreed.4.Innovation. Uses new technologies and methods actively to develop competitive services on customer projects.5.Documentation. Provides technical documentation on modules / products, following company standards on customer projects.6.Technical Expertise. Maintains high level of product and solution knowledge and maintains an up-to-date skills profile in ServiceNow and Java Scripting, .NET and Jelly code.7.Capabilities: Ability to drive business requirements and take an active/leading role with customer stakeholders including C-level / director level / users.Selection Criteria:Must have implementation experience in complete ITSM and CSM (Agent and Configurable Workspace, Playbook, Types, Guided decisions, Configuration Areas, Roles, Integration of CSM with other ServiceNow Apps).Strong expertise in scripting on the ServiceNow platform using JavaScript, CSS and Angular JS: Flows, Business Rules, Client Scripts, UI Actions, Widgets and UI PagesDeep understanding of the key technologies relevant to the ServiceNow integration solutions including: Integration Hub, SSO, Web Services, LDAP, JDBC, etc.Educated to degree level or have at least three years experience in an IT industry/environmentAt least three years of experience in technical delivery, preferably within a consulting environmentServiceNow Certified Administrator is essentialServiceNow Certified Implementation Specialist is desirableServiceNow Application Developer certification is essential.Experience of software development lifecyclesExperience of Agile and Waterfall project methods.
Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
- Answer Inbound/Outbound Calls Professionally, Explain Products And Services To Customers
- Identify Customer's Needs And Wants And Convince Them To Buy The Product/Service
- Gain Comprehensive Product Knowledge To Enhance Performance
- International Voice Process/International BPO
- U.K. Shift Timings - 01:30 PM - 11:30 PM
- Fluent Communication Skills Mandatory
- Location - N.I.B.M. Kondhwa, Pune M.H.
C++
NodeJS (Node.js)
Docker
Python
Django
FlaskJob Title: Python Developer
Job Location: Pune ( Baner)
Experience: 4 to 8 years
Notice Period: 1 Month or Less
Skills: Python (Django, Flask), MySQL, Strong focus on OOPS and Architecture, Bitbucket/GitHub, NoSQL
Technical Requirements:
- Experience in developing web applications and APIs(REST, XML, other open sources)
- Strong programming foundation in Python, MYSQL & OOPS Experience in Django/Flask
- Experience & Good understanding of HTML5, CSS3, Bootstrap, Ajax, JS etc while experience on Angular, Node JS will be an added advantage.
- Solid exposure of API integrationsand familiar with various design & architectural patterns.
- In depth knowledge of Source Code Repository and experience working with Bit-bucket.
- Experience working on Apache HTTP or any other web/app server.
- Hands on experience in DB design, Architecture, coding, unit testing and debugging.
- Experience working in an Agile development environment.
- Sound in data structure analysis and algorithm design.
- Ensure cross-platform compatibility of information retrieved from web services on Android and iOS platforms, in terms of Push Notifications, platform-specific issues, etc
- Good knowledge of relational databases, version control tools and of developing web services.
- Strong understanding of the software development life cycle and best practices
Roles and Responsibilities:
- Should be a problem solver with an attitude to contribute towards the success of Team/Project as well as organization.
- Should be able to guide other members in the team
- Should take initiatives to improve code quality standards and team efficiency.
- Should be able to Participate in the requirements gathering and come up efficient solutions
- Should be able to Efficiently estimate on high and low level along with assessing risk items
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