
technical expertise
Responsible for sales activities, meeting & achieving sales targets
Primarily engaged in field sales activity i.e. Visit to customer for Technical Plant
Studies, Problem Evaluation, Technical Feasibility Study & ROI Determination of our
Products
Preparation, submission and follow up of techno-commercial proposals
Visit to customers for follow up of enquiries and techno-commercial discussions
Responsible for negotiations / finalization of Proposals
Responsible for preparation of order documents with necessary technical inputs
Co-ordination for post order activities and other compliance till order
commissioning
Preparation and submission of Weekly & Monthly report for sales visits

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Overview
We at PEMS digital aim to create a smarter, greener tomorrow for you, with your expertise. All of us are guided by
finding and employing efficient data handling to push the frontiers of human engagement, whether it be with
infrastructure, mobility, logistics or the myriad of other industries we hope to expand into. We believe in visualizing
the technology of tomorrow today, and thus, priorities the attitudes of collaboration, creation and adaptability to
create an ecosystem that will foster talent.
Role Overview:
We are seeking a dynamic and motivated Presales (Inside Sales) Intern to join our team for a 3-month internship.
This role is perfect for individuals looking to gain hands-on experience in sales processes, client engagement, and
lead generation
Key Responsibilities:
Conduct market research to identify potential clients and key decision-makers.
Assist in lead generation and prospecting activities using various tools and platforms.
Reach out to prospects via calls, emails, and social media to introduce company products/services.
Support the sales team in preparing proposals, presentations, and sales collateral.
Schedule meetings and product demos for the sales team.
Maintain and update CRM systems with accurate lead and customer information.
Collaborate with marketing to align lead generation efforts with campaigns.
Track and report on outreach and lead generation metrics.
Qualifications:
Pursuing or recently completed a degree in Business, Marketing, Sales, or a related field.
Strong communication and interpersonal skills.
Basic understanding of sales principles and customer relationship management.
Self-motivated, goal-oriented, and eager to learn.
Ability to multitask and manage time effectively.
What You'll Gain:
Hands-on experience in presales and inside sales processes.
Exposure to sales tools and CRM platforms.
Opportunity to develop client engagement and communication skills.
Mentorship and guidance from experienced sales professionals.
A chance to convert the internship into a full-time role based on performance.
Hi,
Enterprise Minds is hiring Java Developer for Pune Location.
Title: Sr.java Developer
Location : Pune
Exp : 7+ Years
- Strong Java background and backend Database experience
Must have strong exp in SQL
Experience should include working on an Enterprise level product.
- Should have knowledge in Apache Calcite
Experience: 8+ Years
Work Location: Hyderabad
Mode of work: Work from Office
Senior Data Engineer / Architect
Summary of the Role
The Senior Data Engineer / Architect will be a key role within the data and technology team, responsible for engineering and building data solutions that enable seamless use of data within the organization.
Core Activities
- Work closely with the business teams and business analysts to understand and document data usage requirements
- Develop designs relating to data engineering solutions including data pipelines, ETL, data warehouse, data mart and data lake solutions
- Develop data designs for reporting and other data use requirements
- Develop data governance solutions that provide data governance services including data security, data quality, data lineage etc.
- Lead implementation of data use and data quality solutions
- Provide operational support for users for the implemented data solutions
- Support development of solutions that automate reporting and business intelligence requirements
- Support development of machine learning and AI solution using large scale internal and external datasets
Other activities
- Work on and manage technology projects as and when required
- Provide user and technical training on data solutions
Skills and Experience
- At least 5-8 years of experience in a senior data engineer / architect role
- Strong experience with AWS based data solutions including AWS Redshift, analytics and data governance solutions
- Strong experience with industry standard data governance / data quality solutions
- Strong experience with managing a Postgres SQL data environment
- Background as a software developer working in AWS / Python will be beneficial
- Experience with BI tools like Power BI and Tableau
Strong written and oral communication skills
You will:
- Create highly scalable AWS micro-services utilizing cutting edge cloud technologies.
- Design and develop Big Data pipelines handling huge geospatial data.
- Bring clarity to large complex technical challenges.
- Collaborate with Engineering leadership to help drive technical strategy.
- Project scoping, planning and estimation.
- Mentor and coach team members at different levels of experience.
- Participate in peer code reviews and technical meetings.
- Cultivate a culture of engineering excellence.
- Seek, implement and adhere to standards, frameworks and best practices in the industry.
- Participate in on-call rotation.
You have:
- Bachelor’s/Master’s degree in computer science, computer engineering or relevant field.
- 5+ years of experience in software design, architecture and development.
- 5+ years of experience using object-oriented languages (Java, Python).
- Strong experience with Big Data technologies like Hadoop, Spark, Map Reduce, Kafka, etc.
- Strong experience in working with different AWS technologies.
- Excellent competencies in data structures & algorithms.
Nice to have:
- Proven track record of delivering large scale projects, and an ability to break down large tasks into smaller deliverable chunks
- Experience in developing high throughput low latency backend services
- Affinity to spatial data structures and algorithms.
- Familiarity with Postgres DB, Google Places or Mapbox APIs
What we offer
At GroundTruth, we want our employees to be comfortable with their benefits so they can focus on doing the work they love.
- Unlimited Paid Time Off
- In Office Daily Catered Lunch
- Fully stocked snacks/beverages
- 401(k) employer match
- Health coverage including medical, dental, vision and option for HSA or FSA
- Generous parental leave
- Company-wide DEIB Committee
- Inclusion Academy Seminars
- Wellness/Gym Reimbursement
- Pet Expense Reimbursement
- Company-wide Volunteer Day
- Education reimbursement program
- Cell phone reimbursement
- Equity Analysis to ensure fair pay
Role: MIS Analyst
Location: Hyderabad
Experience Required: 4 to 8 Years
Key Skills:
MIS Analyst with 4 Plus Years of Experience.
Strong Experience in Pivot Tables.
Strong Experience in PowerPoint Presentation
Good Experience in Data Validation, Vlookup
Excellent Communication
You’ll be responsible for building APIs for a progressive web app. You must know Node.js, Express.js, Mongo.db, and basic Github.
Expectations:
- Design and develop REST API modules.
- Good experience in building and testing API’s and integrating them.
- Assuring the complete stack is designed and built for speed and scalability.
Your Requirement:
- Must know Node.js, Express.js, Mongo.db, and basic Github.
- 1-3 years of backend experience.
- Previously worked on similar projects (e commerce, food delivery, etc).
- Logical and problem solver.
- Optimized and clean code
Good to have:
- Worked on Payment Gateways
- Worked with food tech or similar projects
Hiring Process:
- Round 1 - Task based on backend technologies
- Round 2 - Task review and technical round
Responsibility:
- Complete the goal without missing any deadlines.
- Compensated on feature or hourly basis.
About Menu Cart Private Limited
We are a high growth startup currently experimenting in stealth. We are solving food delivery related problem with gamification features.



About Us
upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow.
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upGrad was awarded the Best Tech for Education by IAMAI for 2018-19
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upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-
after startups in India
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upGrad was earlier selected as one of the top ten most innovative companies in India
by FastCompany.
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We were also covered by the Financial Times along with other disruptors in Ed-Tech
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upGrad is the official education partner for Government of India - Startup India
program
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Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning
Role Summary
Are you excited by the challenge and the opportunity of applying data-science and data- analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education?
If this is you, come join us and become a part of the upGrad technology team. At upGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to ourmarketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired careeroutcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand.
We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment.
Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company.
Roles & Responsibilities-
- 3+ years of experience in analytics, data science, machine learning or comparable role
- Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline
- Experience in building and deploying Machine Learning models in Production systems
- Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand
- Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL
- Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders
- Comfortable dealing with ambiguity and competing objectives
Skills Required
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Experience in Text Analytics, Natural Language Processing
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Advanced degree in Data Science/Data Analytics or Math/Statistics
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Comfortable with data-visualization tools and techniques
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Knowledge of AWS and Data Warehousing
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Passion for building data-products for Production systems - a strong desire to impact
the product through data-science technique
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Job Description :
Sr. Machine Learning Engineer will support our various business vertical teams with insights gained from analyzing company data. The ideal candidate is adept at using 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 strong experience 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 have a proven ability to drive business results with their data-based insights. 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.
Accountabilities :
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
Skills & Requirements :
Technical Skills :
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python, Pyomo, Julia/Jump, Matlab, SAS,SQL)
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
- Profound understanding of skills like outlier handling, data imputation, bias, variance, cross validation etc.
- Demonstrated skill in modeling techniques, including but not limited to Predictive modeling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing, Recommendation engines,
- Demonstrated skill in analytic prototyping, analytic scaling, and solutions integration
- Developing hypotheses and set up your own problem frameworks to test for the best solutions
- Knowledge of data visualization tools - ggplot, Dash, d3.js and Matplottlib (or any other data visualization like Tableau, Qlikview)
- Generating insights for a business context
Desirable :
- Experience with cloud technologies for building, deploying and delivering data science applications is desired (preferably in Microsoft Azure)
- Experience in Tensorflow, Keras, Theano, Text Mining is desirable but not mandatory
- Experience to work in Agile and DevOps processes.
Core Skills :
- Bachelor or master degree in information technology, computer science, business administration or a related discipline.
- Certified in Agile Product Owner / SCRUM master and/or other Agile techniques
Leadership Skills :
- Strong stakeholder management and influencing skills. Able to articulate a vision and build support for that vision in the wider team and organization.
- Ability to self-start and direct efforts based on high-level business objectives
- Strong collaboration and leadership skills with the ability to coach and develop teams to meet new challenges.
- Strong interpersonal, communication, facilitation and presentation skills.
- Work through complex interfaces across organizational and geographic boundaries
- Excellent analytical, planning and problem solving skills
Job Experience Requirements :
- Utilize an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Life cycle and execute end-to-end Data Science project
- Work end-to-end on Data Science developments contributing to all aspects of the project life cycle
- Keep customers as focus of analysis insight and recommendation.
- Help define business objectives/customer needs by capturing the right requirements from the right customers.
- Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses and driving experiments
- Can identify unstructured problems and articulate opportunities to form new analytics project ideas
- Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
- Compile integrate and analyze data from multiple sources to identify trends expose new opportunities and answer ongoing business questions
- Execute hypothesis-driven analysis to address business questions issues and opportunities
- Build validate and manage advanced models (e.g. explanatory predictive) using statistical and/or other analytical methods
- Are familiar working within Agile Project Management methodologies / structures
- Analyze results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
- Have the ability to conceptualize formulate prototype and implement algorithms to capture customer behavior and solve business problems
- Analyze results using statistical methods to make recommendations to improve customer experience and business results
Job Responsibilities:
• Design test plans, procedures, scenarios, and scripts to accurately assess new products or software updates according to customer requirements and company policies.
• Develop testing protocol for various aspects, such as usability, database impact, error and bug finding, regression testing, and implementation scenarios.
• Identify, analyse and create detailed records of problems that appear during testing, such as software defects, bugs, functionality issues, and output errors, and work directly with software developers to find solutions and develop retesting procedures.
• Track problems, resolutions, and bug fixes throughout testing and create a comprehensive database of defects and successful mitigation techniques.
• Create detailed, step-by-step documentation of test procedures for each phase or project as needed to ensure replicability, compliance with standards, and growth of company knowledge base.
• Provide frequent feedback to developers, including recommendations for improvements, evaluation of problems, potential solutions, and discussion of further test requirements.
• Design and implement automated testing tools when possible, and update tools as needed to ensure currency and accuracy.
Job Skills Required
• Experience in Automated and Manual QA Processes (Bug tacking/reporting, root-cause analysis, documentation...)
• Experience with Java, Git Source control, Selenium, Appium
• Experience with Web and Mobile testing frameworks/tools such as selenium, appium and selendroid on native and hybrid Android apps.
• Experience with designing and developing web and mobile test automation solutions on a framework level from scratch
• Experience with build tools, test harness and reporting tools such as Maven, Gradle, TestNG, JUnit, Extent report, Allure report
• Experience with debugging, troubleshooting android apps.
Familiarity with CICD pipeline will be an added advantage with the tools such as Travis CI, Circle CI
• Excellent time-management skills and commitment to meet deadlines.
Qualifications Required:
• Bachelor’s degree in engineering, information technology, computer science, or similar field
• Minimum 3 years of relevant work experience

