Cost Accountant

bout the Role

We are seeking an experienced Python Data Engineer with a strong foundation in API and basic UI development. This role is essential for advancing our analytics capabilities for AI products, helping us gain deeper insights into product performance and driving data-backed improvements. If you have a background in AI/ML, familiarity with large language models (LLMs), and a solid grasp of Python libraries for AI, we’d like to connect!

Key Responsibilities

•   Develop Analytics Framework: Build a comprehensive analytics framework to evaluate and monitor AI product performance and business value.

•   Define KPIs with Stakeholders: Collaborate with key stakeholders to establish and measure KPIs that gauge AI product maturity and impact.

•   Data Analysis for Actionable Insights: Dive into complex data sets to identify patterns and provide actionable insights to support product improvements.

•   Data Collection & Processing: Lead data collection, cleaning, and processing to ensure high-quality, actionable data for analysis.

•   Clear Reporting of Findings: Present findings to stakeholders in a clear, concise manner, emphasizing actionable insights.

Required Skills

•   Technical Skills:

o   Proficiency in Python, including experience with key AI/ML libraries.

o   Basic knowledge of UI and API development.

o   Understanding of large language models (LLMs) and experience using them effectively.

•   Analytical & Communication Skills:

o   Strong problem-solving skills to address complex, ambiguous challenges.

o   Ability to translate data insights into understandable reports for non-technical stakeholders.

o   Knowledge of machine learning algorithms and frameworks to assess AI product effectiveness.

o   Experience in statistical methods to interpret data and build metrics frameworks.

o   Skilled in quantitative analysis to drive actionable insights.

Are you ready to revolutionize the manufacturing landscape? We're on the hunt for a dynamic OT-IT Expert who’s not just skilled but passionate about transforming operational technology! Join us in optimizing our manufacturing shop floors by auditing and enhancing infrastructure and connectivity. Your mission? Identify those sneaky gaps in our data collection architecture and ensure our machines and sensors talk smoothly to the cloud. If you thrive in IIoT environments and can navigate the complexities of communication protocols like a pro, we want you on our team!

Key Responsibilities:

1. Audit Like a Pro: Dive deep into our existing infrastructure and connectivity on the manufacturing shop floor.
2. Gap Detective: Identify gaps in our architecture for seamless data collection from machines and sensors to cloud systems.
3. Solution Architect: Design and propose the best-suited, cost-effective solution architectures based on your gap analysis.
4. Proposal Wizard: Develop and prepare detailed project proposals that impress stakeholders.
5. Supplier Negotiator: Identify and negotiate with suppliers for the required hardware and peripherals to bring your designs to life.
6. Challenge Anticipator: Plan ahead for potential implementation challenges and devise clever solutions.
7. Project Overlord: Oversee IIoT project implementations to ensure they stay on track and meet objectives.
8. Data Accuracy Guardian: Ensure the accuracy of captured data by validating against actual shop floor values.
9. Data Structurer: Develop and implement data format structuring and standard frameworks that enhance our operations.
10. Quality Assurance Champion: Perform thorough Quality Assurance (QA) on collected data before handing it over to our data engineers.

Required Skills and Experience:

• Extensive experience in IIoT projects involving field communication protocols (Modbus, OPC, PROFINET, PROFIBUS).
• Strong knowledge of PLC programming with hands-on experience in multiple PLC brands (Siemens, Allen-Bradley, Mitsubishi).
• Proficient in auditing and analyzing OT infrastructure like a seasoned expert.
• Expertise in cloud connectivity and data collection systems.
• Creative thinker with the ability to design scalable and cost-effective IIoT architectures.
• Strong negotiation skills to manage vendor relationships effectively.
• Exceptional problem-solving and forward-thinking abilities.
• Solid understanding of manufacturing processes and shop floor operations.
• Proven experience in data validation, structuring, and quality assurance.
• Familiarity with data engineering concepts and the ability to liaise with data engineering teams.

Preferred Qualifications:

• Bachelor's degree in Instrumentation, Information Technology, Electrical Engineering, or a related field.
• Relevant certifications in Industrial Automation or IIoT technologies.
• 5+ years of experience in OT/IT convergence projects within manufacturing environments.
• Experience with data standardization and framework development in industrial settings.

Key Attributes:

• Strategic thinker with a hands-on approach who can get things done.
• Excellent communication skills to connect with both technical and non-technical stakeholders.
• Proactive problem-solver with a history of successful project deliveries.
• Adaptable to rapidly evolving technology landscapes, ready for anything!
• Meticulous attention to detail, especially in data accuracy and quality.
• Strong analytical skills for data validation and structure optimization.

Key Responsibilities:

1. Be part of the team responsible for the enterprise grade SAAS platform.

2. Own end-to-end design and development of Product Features.

3. Design and implement software for testability, maintainability, scalability, supportability.

4. Troubleshoot and support field issues, microservices monitoring.

5. Hands-on working on SAAS based applications.

6. Experience with working on scalable, highly available distributed systems.

7. Robust understanding of Agile development along with CI/CD pipeline.

8. Solid understanding of software development Life Cycle.

9. Solid understanding of end to end Application Security and incorporating the same during development.

10. Exposure to micro-services architecture and microservices development frameworks, platform based architecture.

11. Experience in AWS/Azure.

12. Experience in Dockers, and Kubernetes. ECS, EKS, AKS etc

13. Experience with RDBMS such as Postgres(Preferred), MySQL and nosql databases(Desired).

14. Experience in languages such as Python(Preferred), Java.

15. Exposure to development of data platforms for analytics, reporting etc.

16. Exposure to the development of IOT applications is a plus.

Other requirements

1. Proficient in JavaScript, TypeScript, Vue.js(preferred), ReactJS

2. Solid understanding of UI/UX principles, responsive design techniques, and front-end performance optimization.

3. Exposure to the development of API-driven Single Page Applications

4. Exposure to AWS Cloudfront, Akamai etc.

5. Experience in Application monitoring and log management tools.

Key Responsibilities 

• Responsible for managing end to end HR processes
• Design & implement recruiting strategies for each Business Unit by understanding the manpower requirements
• Lead and execute Recruitments for campus, Lateral, focusing on direct sourcing majorly
• Plan and execute the Talent Management process inclusive of performance appraisals, Career Development and advancement
• Candidates will be responsible to implement new HR programs and activities
• Plan & execute the employee engagement activities
• Solely responsible for maintaining the payroll & attendance system.
• Responsible for comp & ben, HR policies, other generalist activities or any ad hoc responsibilities.

Ideal candidate should have: 

• Should have 3 Years of experience in HR generalist responsibilities with focus on Recruitment and Performance Management.
• Proficient in Excel, Powerpoint with ability to manage MIS and reporting 
• Multitasker and able to manage any ad hoc tasks
• Desire to learn and develop.
• Strong organization skills - ability to meet deadlines, prioritize assignments, etc
• Capable of handling high pressure situations & excellent stakeholder management capabilities

Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 

Program Lead 

Gujarat (Ahmedabad) 

Company Profile:  pinBox is the only global social enterprise committed exclusively to digital micro-pension inclusion for self-employed women and youth. We use our proprietary pensionTech platform, the unique pinBox model and field-tested retirement literacy tools to make access to pensions, savings and insurance easy and simple for non-salaried informal sector workers. pinBox is working actively with governments, regulators, multilateral aid agencies and leading financial inclusion stakeholders across Asia and Africa on digital micro-pension and social security inclusion. In India, pinBox is working with top financial institutions and credible outreach partners to help deliver mainstream financial services to underserved citizens. Friends of Women’s World Banking (FWWB) is a Gujarat-headquartered non-profit Society that provides financial and capacity building support and services to organizations promoting livelihoods, self-reliance and financial inclusion among low-income women. FWWB works with a network of over 200 MFIs, cooperatives and producer collectives that reach over 18 million low-income individuals across 12 states. pinBox and FWWB are jointly launching a digital micro-pension and retirement literacy solution for the 18 million women being serviced by FWWB partners. A dedicated project management team will promote the solution to FWWB partners through ongoing consultative meetings and field-visits. This team will be based at the FWWB offices at Ahmedabad (Gujarat) and provide necessary technical assistance, digital solutions, training and expert advice to FWWB partners to encourage and enable them to in turn deliver the digital micro-pension solution, along with financial literacy, to their clients/ members. pinBox is looking for a self-motivated, driven, and hands-on individual to develop and own short and long-term strategies and goals for the pinBox-FWWB partnership as well as for other pinBox initiatives in Gujarat. This is a senior role that requires proactive interactions with a range of internal and external stakeholders, often managing several moving project parts simultaneously. The Program Lead for Gujarat will be responsible for planning, overseeing and leading the pinBox-FWWB Project from ideation through to completion. She/he will also lead B2B2C partnerships with other Gujarat-based cooperatives and milk unions, as well as with federated self-help groups, producer companies, social enterprises and the State Government on expanding pension and social protection solutions to the self-employed. 

Responsibilities:

 1. Work closely with FWWB to proactively promote the digital micro-pension and social security solution to its partners, and to other aggregators including cooperatives in Gujarat and the State Government;

 2. Formalizing, upscaling and managing all B2B2C partnerships with FWWB and in Gujarat more generally;

 3. Implementation coordination and monitoring and providing necessary ongoing training, capacity building and IEC support and advice to partners to minimize the gap between intent and outcomes. 

4. Achieving optimum impact at scale in terms of voluntary participation and regular retirement savings by self-employed women and youth who choose to save for their old age and other lifecycle needs. 

 5. Establish a system for periodic review meetings and field visits to regularly monitor outcomes including subscriber knowledge, savings persistency and adequacy. You will provide partners with MIS and data using pinBox MIS dashboards to keep them updated and informed regarding outcomes.

 6. In consultation with the pinBox operations and customer protection teams, develop innovative ideas and behavioral interventions that optimize field staff efforts and engagement and voluntary enrollments and regular savings by partner clients/ members. 7. Periodically conduct or facilitate FGDs and helpline-led interviews with partner field staff and scheme subscribers to assess efforts and outcomes and to satisfy pinBox, FWWB and partner management that scheme implementation and efforts are in line with stated goals of mass-scale pension and social security inclusion. 8. Proactively investigate implementation challenges and issues and develop and implement ideas and solutions that can positively impact outcomes at scale. 

The ideal candidate 

1. A person with indubitable ethics, who is entrepreneurially inclined, passionate about digital financial inclusion and is eager to build from scratch.

 2. Has 4-6 years’ experience in the areas of digital financial inclusion. Familiarity with the fintech and technology apps ecosystem will be an advantage. 

 3. IRMA graduates with project and process management experience in digital finance and prior experience with women-focused inclusion efforts will be preferred. 

4. Proficiency in Gujarati (both written and oral) is mandatory  

Experience: 
- 4-10 years of Full Stack Application development experience is must. 
- Deep understanding of client side development, coding in HTML5, CSS3, JavaScript ES6, and jQuery. 
- Strong experience using a client side MVC framework such as NodeJS, React JS, NextJS and Redux.
- Top notch programming skills and write code for robust software design. 
- Experience in responsive design, cross browser compatibility and website performance. 
- Experience in object oriented design skills. 
- Aggressive problem diagnosis and creative problem solving skills. 
- Good understanding of how browsers and DOM work. 
- Experience with Git/Bitbucket. 
- Experience with handling Services, RESTful, APIs. 
 
Responsibilities : 
- To work with a cross-functional software development team on highly visible strategic projects as an expert level individual contributor to the coding tasks assigned. 
- Responsible for development of highly responsive, web based UI in a flexible and well-structured frontend architecture. 
- Experience working with remote data via REST and JSON 
- Experience with third party libraries and APIs 
- Produce well designed efficient code in a timely manner to meet delivery timescales/milestones. 
- Mentor other developers on software best practices technical guidance and help grow their software development skill sets. 

Job Title: Data Warehouse/Redshift Admin

Location: Remote

Job Description

AWS Redshift Cluster Planning

AWS Redshift Cluster Maintenance

AWS Redshift Cluster Security

AWS Redshift Cluster monitoring.

Experience managing day to day operations of provisioning, maintaining backups, DR and monitoring of AWS RedShift/RDS clusters

Hands-on experience with Query Tuning in high concurrency environment

Expertise setting up and managing AWS Redshift

AWS certifications Preferred (AWS Certified SysOps Administrator)

                                          Business Development Manager- Job Description

Responsibilities

• Lead generation through various marketing activities, cold call and networking.
• Meet potential clients by growing, maintaining, and leveraging your network.
• Developing sales plan, prospecting / identification of opportunities, customer presentations, managing RFI / RFP responses, and winning opportunities.
• Achieve set targets in terms of revenue, profitability, collection and other result areas.
• Work with technical team and other internal colleagues to meet customer needs.
• Arrange and participate in internal and external client debriefs.

• Manage Key Accounts, develop and maintain client relationship.
• New Account Development, Developing relationships with key decision-makers in target organizations for business development.
• Understanding and coordinating client's needs / enhancements and consulting with team to provide solutions in adherence to delivery schedules.

 Skill Sets

• Knowledge of IT Infrastructure Solutions and Services.
• Knowledge of Networking products like Switches, Routers, structured cabling , NAS SAN Storage, CCTV etc.

• Knowledge of of IT Security products like UTM, firewall, VA-PT Cyber Security and End Point Security.

• Knowledge of Computing like Servers, Desktops etc.

 Requirements

• Technical Background (BE, B.Tech, B Sc, BCA, B.com, Diploma) MBA a strong plus.
• Good track record in IT Hardware, Software & Services sales.
• 3 to 12 years of Corporate Sales experience in IT Industry mandatory. 
• Excellent interpersonal, diplomacy and conflict-resolution skills.
• Good Personal Networking Skills.