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We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

Role Overview:

We are looking for a skilled Data Scientist with expertise in data analytics, machine learning, and AI to join our team. The ideal candidate will have a strong command of data tools, programming, and knowledge of LLMs and Generative AI, contributing to the growth and automation of our business processes.

Key Responsibilities:

1. Data Analysis & Visualization:

• Develop and manage data pipelines, ensuring data accuracy and integrity.
• Design and implement insightful dashboards using Power BI to help stakeholders make data-driven decisions.
• Extract and analyze complex data sets using SQL to generate actionable insights

2 Machine Learning & AI Models:

• Build and deploy machine learning models to optimize key business functions like discount management, lead qualification, and process automation.
• Apply Natural Language Processing (NLP) techniques for text extraction, analysis, and classification from customer documents.
• Implement and fine-tune Generative AI models and large language models (LLMs) for various business applications, including prompt engineering for automation tasks.

3 Automation & Innovation:

• Use AI to streamline document verification, data extraction, and customer interaction processes.
• Innovate and automate manual processes, creating AI-driven solutions for internal teams and customer-facing systems.
• Stay abreast of the latest advancements in machine learning, NLP, and generative AI, applying them to real-world business challenges.

Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or related field.
• 4-7 years of experience as a Data Scientist, with proficiency in Python, SQL, Power BI, and Excel.
• Expertise in building machine learning models and utilizing NLP techniques for text processing and automation.
• Experience in working with large language models (LLMs) and generative AI to create efficient and scalable solutions.
• Strong problem-solving skills, with the ability to work independently and in teams.
• Excellent communication skills, with the ability to present complex data in a simple, actionable way to non-technical stakeholders.

If you’re excited about leveraging data and AI to solve real-world problems, we’d love to have you on our team!

Our growing company is in need of an experienced and resourceful Technical support engineer responsible for the sales of retail products, services, and goods to customers. Guide the buyer's journey, helping convert prospects and closing deals. We’re searching for professionals that have a solid track record of creating long-term value for organizations. 

We’re looking for executives who are customer-obsessed and ready to solve the changing needs of our clients. Candidates should have strong communication skills, experience in selling IT products to corporate and Government agencies.

About Vidhai :

Vidhai Technologies has built business-process expertise, in addition to knowledge of SAP application outsourcing. At Vidhai Technologies, we have a dedicated team of SAP consultants and we provide high quality work that complies with international standards.

Responsibilities :

• Technical analysis, designing, reviews, testing an implementation of SAP ECC/EWM developments, ranging from small enhancements to large projects
• Ensure compliance to existing and development of required data and reporting standards
• Ability to write and validate the technical specification and able to create test Scripts
• Cross-functional knowledge of Finance, Sales, Marketing, Logistics and their use of data. Rich experience with SAP ABAP & SAP EWM ABAP.
• Will work closely with the Business solutions group, to complete on demand work requests, as well as being assigned for large scale SAP cross functional project Projects.
• Keep abreast of SAP releases, enhancements/new functionality and perform application research.
• The Job role involves all phases of the project - Requirement gathering, Estimation, Project Planning, Execution, Go-live and support.
• Ability to help resolve complex technical issues and independently manage critical/complex situations.
• Proven success designing and developing SAP solutions on the SAP ECC/ SAP EWM platform.
• Strong oral and written communication ability.

Required Qualifications :

• Bachelor’s Degree – Engineering or Computer Science
• 8+ years overall SAP experience with minimum 2 End to End Implementations and at least 2 Support Projects
• Should have worked on SAP EWM S/4 2021.
• Must be expert at testing and debugging procedures.
• Must be able to evaluate user requirements relative to current application functionality.
• Requires clear written and verbal communication in a technical context.
• Should have thorough knowledge on EWM PPF, EWM RF framework, ITS Mobile, CIF, Reports, Forms, OOPS ABAP, BAPI, Enhancements, BADI, ALE.
• Experience in ECC <-> EWM integration.
• Ability to develop new and enhance existing RF functions.
• Experience in Smartforms, Label Development and EWM enhancements.
• Able to work with Functional and Technical Teams
• Proven ability Delivering complex and time sensitive projects
• Experience working on a team operating under an Agile Scrum delivery methodology
• Excellent analytical skills and the ability to provide alternative solutions to technical problems

❖ Bachelor's degree in computer science, information technology, or a related field.

❖ 3-5 years of experience in Encompass developer role.

❖ Experience with programming languages such as C#, JavaScript, and SQL, Encompass SDK

❖ Strong understanding of the Encompass system and its capabilities.

❖ Excellent technical, problem-solving, and communication skills.

❖ Ability to work closely with other departments and stakeholders within the organization.

❖ Analytical and data-driven mindset.

❖ Knowledge of mortgage industry regulations and compliance requirements

Android Developer: 

Position: Android/Java/Kotlin Developer 

 - Selected candidate is required to be a part of the product development team and have to manage both maintenance and enhancement projects & building Mobile Applications using web services. 

Skills & Expertise we look for: 

1. Should be passionate about user interface design and have skills in Native Android with proficiency in Kotlin and Java. 
2. Out of the box thinking to troubleshoot and solve problems 
3. Should be willing to implement latest technology trends like XML/Compose UI, MVVM pattern, Livedata, Data binding, Pagination, Coroutines and other Jetpack components. 
4. Should be able to analyze customer requirements, estimate the effort, provide the deliverable date to the customer and make sure to ship the feature on time 
5. Experience in Release management like creating, merging, maintaining branches, versioning and releasing apps. Should have experience in publishing apps to play store. 
6. Ready to help team members in their technical challenges 
7. Collaborate with cross-functional teams to define, document, design, and ship new features

Personality we expect: 

1. You love an Agile work culture and deliver as per plan  
2. You're a lively person who's passionate on what you do  
3. You're a nonstop learner and enjoy sharing the learning to your juniors 
4. You're socially connected with the team and helping others team voluntarily. 
5. You're tech- expertise and effective in tools operation automate the regular process. 
6. You're someone who loves problem-working by seeing the occasion in every challenge and you enjoy learning from failures  
7. Honestly share your experience, feedback, challenges, learning and emotions for the day in your daily diary. 
8. Think of user needs instead of system needs 

About :

1. Employee Management at your Fingertips. PagarBook - India's Best Payroll and Attendance
2. Management tool for Small & Medium Enterprises. Using PagarBook, a business owner can maintain all the records of their employees digitally and can get insights around the same.
3. PagarBook is free & easy to use employee management, work & payroll management software app where you can manage all your staff and employee’s attendance, record the work done by your staff and employees and their salary, payments & advances can also be recorded in this app.
4. Sms & WhatsApp notification to employees and staff about payments, bonuses, daily work, attendance & leaves.
5. The Sales would be done for premium desktop version of the application
6. Benefits of desktop application:
1. Better and Easier accessibility, also available on mobile web
2. Access to rich reports which gives you business knowledge, spend
3. Unlimited free upgrades for a year

About Sales team:

The field sales team at PagarBook is all about solving SME’s customer problems and ensuring we deliver compelling value propositions.

On a typical day, the sales team:

• drives the adoption of a premium version of Pagarbook, sold at a subscription fee per annum
• never-say-no attitude, and comes with a win-all attitude
• At the same time, a core ingredient of the DNA is customer empathy
• We should always ensure the customer is well informed of all the benefits of the solution, before we close the sales.

Responsibilities and Duties of sales associate:

• You will pitch about PagarBook desktop solution on field to customers
• You will explain the benefits of PagarBook desktop solution to customers
  • Better and Easier accessibility, also available on mobile web
  • Access to rich reports which gives you business knowledge, spend
  • Unlimited free upgrades for a year
  • Bulk update features
  • Expense management
• The users can register on the desktop for a free trial for 7 days first
• Sales associate would convert the customer into a paid customer

Mandatory requirements:

• Having your own bike is a must
• Smartphone is a must
• Field sales experience is a must (telecom, FMCG and financial sales experience adds more weightage)
• Graduation in any field is sufficient

Benefits:

• Fixed salary upto 25k
• Targets based incentives (no upper cap, average ~10k per month):
• Petrol allowance ~upto INR 3,000 (on actual bills)
• Initial job posting would be for 3 months - based on good performance, conversion to full time employment would be granted

Key Areas of Responsibility (KRAs):

• Onboarding of Customers
  • Meet 30 new clients a day (tracked)
  • Get free trial enabled for 20 clients a day
  • Get 3 sales (paid customers, 10% conversion) per day - non-negotiable output
• Retaining customer accounts
  • While we build new businesses, cross-selling would be key
  • Customers should keep using PagarBook desktop beyond 30 days of activation
• Grow customer basket size
  • Identify key SME clusters in the city and prepare an acquisition plan
  • Go aggressive and acquire
• Business acumen & key skills
  • Strong knowledge on PagarBook sales process, services and product
  • Local Market and competition knowledge and clear articulation of PagarBook advantages
  • Strong negotiation and influencing skills to create win-win
  • Give continuous feedback to internal teams to improve our customer service level

Finally, remember, you are the PagarBook brand ambassador on the ground! All the best.