Product Support Associate

Job Description

Experience: Senior Hardware Engineer 4-7 years

Job Location: Pune

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Mandatory:

• Responsible for safety electronics hardware product from requirement till validation with certification body
• Design experience on Digital circuits, Analog circuits and microcontroller based design
• Experience/exposure on board bring-up testing, prototype testing and troubleshooting.
• Experience/exposure on Circuit simulation tools such as PSPICE, LTSpice and able to perform reviews
• Knowledge of schematic capture tools like Mentor Graphics DxDesigner and able to perform reviews
• Perform MATHCAD calculation (i.e. in excel or tool) based on hardware design and able to perform reviews
• Contributes to electronics hardware related functionality safety reviews
• Designs multilayer boards and worked on board stack up products
• Planning, Design, Analysis, Compliance / Precompliance Testing and Manufacturing of electronic board(s), product(s) with system understanding.
• Works closely with other engineering disciplines (e.g. mechatronics, internal and external industrial engineering, technical sales towards customer) to ensure quality, to fulfill the requirements and to reach target costs.
• Provides life cycle analysis of electronic components and suggest alternate for replacement
• Creates hardware documentation e.g. BOM, design and test specifications
• Performs activities after serial launch, e.g. change and obsolescence management.
• Good understanding of variety of electronic components and their function
• Understanding of PCB layout and able to perform Layout review

Desirable:

• Carryout FMEA/DFMEA analysis.
• Is responsible for product safety
• Requirement Engineering Certifications like CPRE
• Consults in commissioning products in the field, in order to support responsible Engineer

We are seeking an innovative and experienced Machine Learning Engineer at Architect level with a strong foundation in both traditional data science and modern Generative AI. The ideal candidate will lead the design, development, and deployment of high-impact, data-driven solutions on our Azure cloud infrastructure. You will be responsible for architecting complex systems, including multi-agent platforms and computer vision solutions, optimizing legacy models, and providing technical leadership to cross-functional teams to solve challenging business problems.

Must-Have Skills & Experience:

• Proven experience architecting, developing, and deploying traditional and deep learning solutions at scale, from concept to production.
• Lead end-to-end ML lifecycle including data preparation, feature engineering, model development, validation, deployment, and monitoring.
• Provide technical leadership, mentorship, and architecture-level guidance to project teams.
• Demonstrated expertise in designing and implementing complex multi-agent systems.
• Experience with agentic design patterns such as supervisor-worker and orchestrator-led group chats to automate intricate business processes (e.g., invoice processing, document automation).
• Experience with data augmentation techniques and human-in-the-loop annotation processes for large-scale model training.
• Evaluate and optimize existing models using traditional ML techniques. Proven expertise in traditional ML algorithms (regression, decision trees, SVM, ensemble models, clustering, Random Forest, XGBoost).
• Deep understanding of ML pipeline orchestration and model lifecycle management with production-grade implementation experience.
• Ensure adherence to MLOps best practices and drive implementation on Azure cloud.
• Extensive experience in Azure cloud services including Azure Machine Learning, Azure Data Factory, Blob Storage, Azure DevOps, and Azure Container Apps.
• Leveraged Azure Cognitive Search and Azure OpenAI Service to build scalable and efficient knowledge retrieval systems, enabling real-time semantic search and contextual answer generation.
• Designed and implemented RAG pipelines on Microsoft Azure, integrating large language models (LLMs) with domain-specific knowledge bases to enhance AI-driven information retrieval and response accuracy.
• Experience with evaluation, monitoring and observability frameworks for Agentic workflows.
• Experience designing fault-tolerant systems with robust error handling, fallback mechanisms, and state management for complex, multi-step AI workflows.
• Ability to design and review ML architecture and system integration strategies with hands-on experience in production deployments.
• Certifications in Azure AI Engineer or Azure Solutions Architect.
• Excellent problem-solving, communication, and stakeholder management skills with experience presenting technical solutions to business stakeholders.

Good-to-Have Skills:

• Collaboration skills with data scientists, data engineers, and product stakeholders to convert business requirements into scalable ML models.
• Contributions to open-source projects.

JOB DETAILS:

Job Role: Investment Manager

Industry: Banking and Finance

Working Day: 6

Work Mode: ONSITE

Salary: Best in Industry

Experience: 4-7 years

Location: Mumbai

Review Criteria:

• Strong investor management profile
• Must have 4+ years of fundraising experience startups, AIFs, or investment products), investor management and network building
• Must be proficient in pitching investment opportunities and onboarding investors
• Must have experience conducting investor meetings & presentations
• Must have experience achieving revenue targets
• Must have experience representing the company at networking events
• Must understand startup valuation basics, portfolio reporting, investment products.
• Must prepare investment proposals, performance reports, and KPIs.
• No strict requirement, but finance background preferred.
• Must have high ownership and target-driven mindset.

Preferred:

• Preferably from VC firms, AIFs, Wealth Management, Investment Banking, or startup fundraising roles.
• Preferred (Industry): Events industry
• Preferred (Work background): Experience in start-up funding events & roadshows

Job Specific Criteria:

• CV Attachment is mandatory
• How many years of experience do you have in investor management?
• Are you comfortable working 6 days from Mumbai office?
• Current company?
• Current Location?

Role & Responsibilities:

About the Role:

We are seeking a highly driven and strategic Manager - Investment (Start-up Fundraising) to lead fundraising, manage investor relationships, and drive portfolio growth. The role requires a mix of financial expertise, investor engagement, and strong networking ability to achieve AUM growth and revenue targets. The ideal candidate will have proven experience in capital raising, managing HNIs/Family Offices/Venture Partners, and expanding investor networks.

Key Responsibilities:

Fundraising & AUM Growth-

• Drive growth in Assets Under Management (AUM) by meeting set targets.
• Achieve quarterly and annual revenue targets through investor onboarding and capital deployment.

Investor Relationship Management-

• Research, identify, and connect with high-potential investors (HNIs, Family Offices, Institutions).
• Nurture relationships with inactive investors and convert them into active contributors.
• Build long-term trust by ensuring transparency, timely updates, and strong portfolio communication.
• Proactively outreach and pitch company’s value proposition and curated start-up campaigns.
• Seamlessly onboard new investors, ensuring smooth KYC, onboarding, and activation.

Business Development & Conversion-

• Source, qualify, and onboard new investors through referrals, networking, and events.
• Leverage existing investor networks for introductions and referrals.
• Manage pipeline of new investor conversions and ensure smooth onboarding process.

Networking & Outreach-

• Represent the firm in industry events, conferences, and investor summits to expand reach.
• Stay updated on funding trends, investor behavior, and competitive landscape.
• Conduct one-on-one investor meetings to present opportunities and investment strategies.
• Establish strong connections with Venture Partners, Family Offices, and Institutional Investors for strategic collaborations.

Strategic Input & Reporting-

• Prepare and present investment proposals and performance reports.
• Work closely with the investment team to align fundraising strategy with portfolio needs.
• Track KPIs (AUM growth, investor reach-outs, referrals, event participation, conversions, revenue).

Ideal Candidate:

• 4+ years of proven experience in fundraising for start-up.
• Strong investor network with HNIs, Family Offices, and Institutions.
• Track record of achieving AUM/revenue targets and closing investor commitments.
• Exceptional communication, presentation, and relationship-building skills.
• Entrepreneurial mindset, high ownership, and target-driven approach.

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

Mandatory Criteria

1. 2–5 years of experience in sales/business development within a D2C or product-based industry.
2. Proven track record of achieving targets and driving sales growth.
3. Strong communication, negotiation, and presentation skills.
4. Leadership capability to manage team performance and ensure alignment with company goals.
5. Proficiency in CRM tools and lead generation techniques is an advantage.

OKR

1. Develop, implement, and own sales strategies to achieve business targets.
2. Identify and explore new revenue streams and market opportunities.
3. Deliver persuasive sales pitches and convert qualified leads.
4. Manage a small team while also handling direct client interactions.
5. Build and nurture long-term client relationships to ensure retention and repeat business.
6. Maintain and update client databases and sales reports in an organized manner.

Role Overview:

We are seeking a Senior Consultant with deep expertise in storage and backup infrastructure, data migration strategies, and enterprise IT consulting. This individual will lead customer engagements, build methodologies, and deliver value through the ZENfra platform.

Experience in product implementation and customer support management is a strong plus, enabling this role to bridge consulting with hands-on delivery and post-deployment success.

Key Responsibilities:

Consulting & Strategy:

Engage with enterprise customers to understand their infrastructure, pain points, and transformation goals.

Design and recommend migration strategies and modernization roadmaps for storage and backup environments.

Develop reusable methodologies and frameworks tailored to customer needs.

ZENfra Enablement:

Translate customer requirements into actionable insights using the ZENfra platform.

Build and deliver ZENpacks (customized solution bundles) including reports, dashboards, and automation scripts.

Collaborate with ZENfra product and engineering teams to enhance platform capabilities based on field feedback.

Product Implementation & Support:

Lead or support ZENfra platform deployments across customer environments.

Ensure smooth onboarding, configuration, and integration of ZENfra components.

Manage customer support escalations, ensuring timely resolution and customer satisfaction.

Provide feedback to product teams to improve usability and performance.

Leadership & Delivery:

Lead and mentor a team of consultants and engineers across multiple customer engagements.

Prioritize tasks and manage delivery timelines while maintaining high customer satisfaction.

Ensure quality and consistency in deliverables across projects.

Customer Success:

Act as a trusted advisor to customers, helping them derive maximum value from VTG and ZENfra offerings.

Conduct workshops, training sessions, and executive briefings as needed.

Required Skills & Experience:

• 10+ years of experience in IT consulting with a focus on storage, backup, and data protection technologies.
• Proven experience in data centre migrations, cloud transitions, and infrastructure assessments.
• Strong leadership experience managing cross-functional teams and customer engagements.
• Hands-on experience with product implementation and customer support management.
• Excellent communication and stakeholder management skills.
• Familiarity with tools like ZENfra, ZENfra Ignite, or similar platforms is a strong plus.
• Ability to create structured reports, methodologies, and reusable assets.
• Experience working with global customers and managing multiple priorities.

Preferred Qualifications:

Certifications in storage technologies (e.g., NetApp, Dell EMC, Veritas, Commvault).

Exposure to cloud platforms (AWS, Azure, GCP) and hybrid infrastructure.

Experience with automation and scripting (Python, PowerShell) is a plus.

DATA ENGINEER

Overview

They started with a singular belief - what is beautiful cannot and should not be defined in marketing meetings. It's defined by the regular people like us, our sisters, our next-door neighbours, and the friends we make on the playground and in lecture halls. That's why we stand for people-proving everything we do. From the inception of a product idea to testing the final formulations before launch, our consumers are a part of each and every process. They guide and inspire us by sharing their stories with us. They tell us not only about the product they need and the skincare issues they face but also the tales of their struggles, dreams and triumphs. Skincare goes deeper than skin. It's a form of self-care for many. Wherever someone is on this journey, we want to cheer them on through the products we make, the content we create and the conversations we have. What we wish to build is more than a brand. We want to build a community that grows and glows together - cheering each other on, sharing knowledge, and ensuring people always have access to skincare that really works.

Job Description:

We are seeking a skilled and motivated Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining the data infrastructure and systems that enable efficient data collection, storage, processing, and analysis. You will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to implement data pipelines and ensure the availability, reliability, and scalability of our data platform.

Responsibilities:

Design and implement scalable and robust data pipelines to collect, process, and store data from various sources.

Develop and maintain data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation.

Optimize and tune the performance of data systems to ensure efficient data processing and analysis.

Collaborate with data scientists and analysts to understand data requirements and implement solutions for data modeling and analysis.

Identify and resolve data quality issues, ensuring data accuracy, consistency, and completeness.

Implement and maintain data governance and security measures to protect sensitive data.

Monitor and troubleshoot data infrastructure, perform root cause analysis, and implement necessary fixes.

Stay up-to-date with emerging technologies and industry trends in data engineering and recommend their adoption when appropriate.

Qualifications:

Bachelor’s or higher degree in Computer Science, Information Systems, or a related field.

Proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems.

Strong programming skills in languages such as Python, Java, or Scala.

Experience with big data technologies and frameworks like Hadoop, Spark, or Kafka.

Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle).

Familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery).

Solid understanding of data modeling, data warehousing, and ETL principles.

Knowledge of data integration techniques and tools (e.g., Apache Nifi, Talend, or Informatica).

Strong problem-solving and analytical skills, with the ability to handle complex data challenges.

Excellent communication and collaboration skills to work effectively in a team environment.

Preferred Qualifications:

Advanced knowledge of distributed computing and parallel processing.

Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink).

Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).

Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).

Experience with data visualization and reporting tools (e.g., Tableau, Power BI).

Certification in relevant technologies or data engineering disciplines.

Hiring BDA and BDE for J N J services and Technologies

ROLES

We're seeking a qualified sales associate to sell annual car and bike Scotty subscription products that our customers have grown to rely on. The sales associate will utilize their skills to generate high-quality leads, build strong relationships with customers, and close deals. The ideal candidate has skills and demonstrates the ability to showcase our offerings compellingly. 

Job Location: Work from home

Selection process: HR Round followed by group discussion and sales manager round.

Qualification: Any Graduate/Post Graduate

Salary offered: As per industry standards

Working days: 6 days          Sunday is off

Shifts:10:00am -7:00pm

Mandatory language: English 

Laptop/wi-fi: candidates are to use their own laptops,

Additional Compensation: If applicable, this will be decided on the basis of your designation.