Data Engineer

Role: DevOps Engineer

Experience: 2–3+ years

Location: Pune

Work Mode: Hybrid (3 days Work from office)

Mandatory Skills:

• Strong hands-on experience with CI/CD tools like Jenkins, GitHub Actions, or AWS CodePipeline
• Proficiency in scripting languages (Bash, Python, PowerShell)
• Hands-on experience with containerization (Docker) and container management
• Proven experience managing infrastructure (On-premise or AWS/VMware)
• Experience with version control systems (Git/Bitbucket/GitHub)
• Familiarity with monitoring and logging tools for system performance tracking
• Knowledge of security best practices and compliance standards
• Bachelor's degree in Computer Science, Engineering, or related field
• Willingness to support production issues during odd hours when required

Preferred Qualifications:

• Certifications in AWS, Docker, or VMware
• Experience with configuration management tools like Ansible
• Exposure to Agile and DevOps methodologies
• Hands-on experience with Virtual Machines and Container orchestration

Job description for Production Engineer

Production Engineer manages shifts, production supervisors and all operators &

ensures smooth running of the production process, organising & monitoring work-

flow.

Roles & Responsibilities:

 Completes production plan by scheduling and assigning personnel;

accomplishing work results; establishing priorities; monitoring progress;

revising schedules; resolving problems; reporting results of the shift

production summaries;

 Supervising the manufacturing processes, ensuring quality work is done in a

safe, efficient manner;

 Diagnosing problems in the production line and providing solutions;

 Ensures that all products are produced as per Customer's specifications;

 Ensures targets and deadlines are met as per Work Orders;

 Attending to minor breakdowns of machines;

 To maintain all Company machines/equipment so as to obtain optimal

performance; evaluate new equipment and techniques;

 Ensures all operators & contract staffs comply with health & safety

procedures;

 Manage, develop, and motivate direct reporting employees;

 Monitor, measure, and report on production-related process performance, and

general issues; update daily production reports;

 Use Problem-solving and troubleshooting skills to ensure that all employees

can identify root causes and take fast corrective and preventive action to

resolve the problems at hand;

 Keeping abreast of advancements in engineering and production, and sharing

knowledge with co-workers.

 Identifying, documenting, and reporting unsafe practices.

 To work closely with other production supervisors to ensure production

handovers are smooth & effective;

 To provide on-the-job training for improving production efficiency & quality;

 Maintain 5S standards to ensure a clean & safe workplace;

 Coordinates with PPC, Engineering, Sales & Marketing, Purchase, Stores,

Logistics, Accounts;

 Maintain records/reports as per ISO & IATF requirements;

 Work non-traditional hours on weekends and holidays during exigencies;

 Any other task assigned by management;

 Reporting to AGM-Operations

Key Result Areas/KRAs (annual evaluation across entire Company) for

Production Supervisors:

 To take full responsibility of the shift in terms of management of operators,

contract employees, production supervisors and achieving production targets;

 To take full responsibility for the quality and product that is produced within

the shift in line with the quality systems, processes, and procedures;

 To have an active role in the continuous improvement plan.

Key Performance Indicators/KPIs (monthly evaluation) for Production

Engineer:

1. On-time Delivery of WOs = % (Target: 98%)

2. Worst Point Photography (WPP)

3. Fixed Point Photography (FPP)

4. Labour Productivity = Units Produced/Man-hours used = ……Units per man-

hour

5. Production Charts

We are seeking enthusiastic individuals to join our team as Customer Care Executives for both Voice and Sales processes. As a Customer Care Executive, you will be responsible for addressing customer inquiries, resolving issues, and promoting our products/services to potential customers.

**Qualifications:**

- Minimum educational qualification: 12th pass.

- Age between 18 to 30 years.

- Excellent communication skills in English and Hindi

- Ability to handle customer queries and provide appropriate solutions.

- Prior experience in customer service or sales is preferred but not mandatory.

**Responsibilities:**

- Handle inbound/outbound calls professionally and provide information about products/services.

- Identify customer needs, clarify information, and close sales.

- Maintain a high level of customer satisfaction through effective problem-solving.

- Achieve sales targets and goals as set by the company.

**Salary and Benefits:**

- Starting salary of INR 18,000 per month.

- Performance-based incentives and bonuses.

- Comprehensive training and career development opportunities.

Key Responsibilities:

• Develop and fine-tune large language models for diverse applications.
• Implement and optimize LLMs to create efficient, scalable solutions.
• Build intelligent agents that utilize LLMs to interact and perform complex analytical tasks.
• Collaborate with cross-functional teams to integrate LLM technology into our products and services.
• Conduct research to stay ahead of the latest trends and advancements in generative AI and machine learning.
• Document and present model development processes and results for stakeholders.

Required Qualifications:

• 4-8 years of experience in machine learning, specifically with generative AI and large language models.
• Strong proficiency in Python and familiarity with AI and ML libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
• Experience in fine-tuning LLMs and deploying AI models in a production environment.
• Proven ability to design and implement AI agents using LLMs.
• Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.

Key Responsibilities:

• Develop and implement effective sales strategies to achieve and exceed business targets in the IT solutions space.
• Identify and pursue new business opportunities through market research, cold calling, referrals, and networking within target industries.
• Regularly visit industrial and commercial business areas to identify potential clients and expand market reach.
• Build and maintain strong, long-term relationships with clients, including developing personal rapport and trust at all organizational levels.
• Conduct on-site client visits to understand business needs, provide consultations, and ensure continued engagement and satisfaction.
• Deliver tailored product presentations and demos, showcasing ERP, CRM, HRMS, and automation solutions relevant to the client’s industry.
• Negotiate contracts, pricing, and terms aligned with company standards and customer expectations.
• Work closely with internal product, marketing, and support teams to deliver complete and customized solutions.
• Generate client leads through satisfied customer referrals and word-of-mouth.
• Stay updated on market trends, competitor offerings, and sector-specific challenges in industries such as manufacturing, healthcare, textile, and automotive.
• Maintain accurate records of sales activities, client interactions, and pipeline progress using CRM tools.

Qualifications & Skills:

• Education: Bachelor's degree in Business, Marketing, Information Technology, or a related field (preferred).
• Experience: 2–5 years of B2B sales experience in IT solutions, especially ERP, CRM, HRMS, or automation systems. Exposure to such Softwares, proficiency in MS Office ( Word, Excel ) and more.
• Excellent interpersonal skills with the ability to build trust and long-lasting client relationships, both professionally and personally.
• Proven track record of meeting or exceeding sales targets, with strong negotiation and closing abilities.
• Confident in conducting market research, territory mapping, and direct client outreach.
• Ability to work independently while contributing effectively in team environments.
• Familiarity with CRM systems and data-driven sales reporting.
• Willingness to travel frequently for client meetings, area visits, and business development efforts.

https://graeon.ai/

Big Data Engineer/Data Engineer


What we are solving
Welcome to today’s business data world where:
• Unification of all customer data into one platform is a challenge

• Extraction is expensive
• Business users do not have the time/skill to write queries
• High dependency on tech team for written queries

These facts may look scary but there are solutions with real-time self-serve analytics:
• Fully automated data integration from any kind of a data source into a universal schema
• Analytics database that streamlines data indexing, query and analysis into a single platform.
• Start generating value from Day 1 through deep dives, root cause analysis and micro segmentation

At Propellor.ai, this is what we do.
• We help our clients reduce effort and increase effectiveness quickly
• By clearly defining the scope of Projects
• Using Dependable, scalable, future proof technology solution like Big Data Solutions and Cloud Platforms
• Engaging with Data Scientists and Data Engineers to provide End to End Solutions leading to industrialisation of Data Science Model Development and Deployment

What we have achieved so far
Since we started in 2016,
• We have worked across 9 countries with 25+ global brands and 75+ projects
• We have 50+ clients, 100+ Data Sources and 20TB+ data processed daily

Work culture at Propellor.ai
We are a small, remote team that believes in
• Working with a few, but only with highest quality team members who want to become the very best in their fields.
• With each member's belief and faith in what we are solving, we collectively see the Big Picture
• No hierarchy leads us to believe in reaching the decision maker without any hesitation so that our actions can have fruitful and aligned outcomes.
• Each one is a CEO of their domain.So, the criteria while making a choice is so our employees and clients can succeed together!

To read more about us click here:
https://bit.ly/3idXzs0" target="_blank">https://bit.ly/3idXzs0

About the role
We are building an exceptional team of Data engineers who are passionate developers and wants to push the boundaries to solve complex business problems using the latest tech stack. As a Big Data Engineer, you will work with various Technology and Business teams to deliver our Data Engineering offerings to our clients across the globe.

Role Description
• The role would involve big data pre-processing & reporting workflows including collecting, parsing, managing, analysing, and visualizing large sets of data to turn information into business insights
• Develop the software and systems needed for end-to-end execution on large projects
• Work across all phases of SDLC, and use Software Engineering principles to build scalable solutions
• Build the knowledge base required to deliver increasingly complex technology projects
• The role would also involve testing various machine learning models on Big Data and deploying learned models for ongoing scoring and prediction.

Education & Experience
• B.Tech. or Equivalent degree in CS/CE/IT/ECE/EEE 3+ years of experience designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions.

Must have (hands-on) experience
• Python and SQL expertise
• Distributed computing frameworks (Hadoop Ecosystem & Spark components)
• Must be proficient in any Cloud computing platforms (AWS/Azure/GCP)  • Experience in in any cloud platform would be preferred - GCP (Big Query/Bigtable, Pub sub, Data Flow, App engine )/ AWS/ Azure

• Linux environment, SQL and Shell scripting Desirable
• Statistical or machine learning DSL like R
• Distributed and low latency (streaming) application architecture
• Row store distributed DBMSs such as Cassandra, CouchDB, MongoDB, etc
. • Familiarity with API design

Hiring Process:
1. One phone screening round to gauge your interest and knowledge of fundamentals
2. An assignment to test your skills and ability to come up with solutions in a certain time
3. Interview 1 with our Data Engineer lead
4. Final Interview with our Data Engineer Lead and the Business Teams

Preferred Immediate Joiners

Salesforce developer
Exp: 7-9Years

Location: Noida & Hyderabad

• Expertise and industry experience working with Salesforce (Lightning web components (LWC), Apex, SOQL, SOSL, Rest/SOAP/GraphQL Integration)

• Salesforce Admin, Platform Developer 1 / Platform Developer 2 and Salesforce Service Cloud Certification