Hybris Developer

Job Details

- Job Title: Enterprise Sales Manager (B2B SaaS)

- Industry: Software Technology Company

- Experience Required: 2-10 years

- Working Days: 5 days/week

- Job Location: Mumbai

- CTC Range: Best in Industry

Review Criteria

• Strong enterprise sales executive profile
• 2+ years of selling B2B SaaS.
• Must have 2+ of experience of selling to enterprise clients OR to manufacturing industry OR selling FinTech product, SAP Product sales/Finance ERP solutions (like invoice processing, vendor management, Source to pay, Compliance solutions).
• Must have experience in end-to-end sales from lead generation, prospecting, demos, proposal building, negotiation, and deal closure
• Must have stable career history — no frequent job hopping
• Final round is F2F (client will handle the travel)

Role & Responsibilities

We are looking for a dynamic and results-driven Enterprise Sales Manager to drive our sales strategy and expand our market presence. This role demands a strong understanding of SAP/Finance ERP solutions, excellent communication skills, and a proven track record in IT/software sales.

Key Responsibilities:

• Sales Strategy Development: Develop and execute sales plans to achieve company revenue targets in the SAP/ERP domain.
• Client Acquisition: Identify, engage, and convert prospective clients by demonstrating the value of our SAP/ERP solutions.
• Relationship Management: Build and maintain long-term relationships with clients, ensuring high levels of satisfaction and retention.
• Market Analysis: Stay updated on industry trends, competitor activities, and market demands to identify growth opportunities.
• Proposal & Presentation: Prepare and deliver compelling proposals, presentations, and demos tailored to client needs.
• Collaboration: Work closely with technical and consulting teams to ensure seamless delivery of solutions and services.

Ideal Candidate

• Experience: Minimum 2 years in sales, with a strong focus on SAP Product sales/Finance ERP solutions
• Industry Preference: Candidates with prior experience in handling manufacturing industry clients will be given preference.
• Educational Qualification: Bachelor’s degree in Business, IT, or a related field. An MBA is an added advantage.

Skills:

• Proven ability to meet and exceed sales targets.
• Excellent communication, negotiation, and presentation skills.
• Understanding of SAP/ERP systems and their applications in business processes.
• Strong client relationship management abilities.
• Track record of success managing large enterprise accounts
• Track record of consistently over-achieving quota (top 10% in your company)
• Strong interpersonal and presentation skills
• Exceptional verbal and written communication skills
• Ability to travel to prospects and customers if required
• Good organizer with the ability to prioritize and multitask
• Proven ability to manage multiple concurrent sales cycles.

About Hudson Data

At Hudson Data, we view AI as both an art and a science. Our cross-functional teams — spanning business leaders, data scientists, and engineers — blend AI/ML and Big Data technologies to solve real-world business challenges. We harness predictive analytics to uncover new revenue opportunities, optimize operational efficiency, and enable data-driven transformation for our clients.

Beyond traditional AI/ML consulting, we actively collaborate with academic and industry partners to stay at the forefront of innovation. Alongside delivering projects for Fortune 500 clients, we also develop proprietary AI/ML products addressing diverse industry challenges.

Headquartered in New Delhi, India, with an office in New York, USA, Hudson Data operates globally, driving excellence in data science, analytics, and artificial intelligence.

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About the Role

We are seeking a Data Analyst & Modeling Specialist with a passion for leveraging AI, machine learning, and cloud analytics to improve business processes, enhance decision-making, and drive innovation. You’ll play a key role in transforming raw data into insights, building predictive models, and delivering data-driven strategies that have real business impact.

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Key Responsibilities

1.⁠ ⁠Data Collection & Management

• Gather and integrate data from multiple sources including databases, APIs, spreadsheets, and cloud warehouses.

• Design and maintain ETL pipelines ensuring data accuracy, scalability, and availability.

• Utilize any major cloud platform (Google Cloud, AWS, or Azure) for data storage, processing, and analytics workflows.

• Collaborate with engineering teams to define data governance, lineage, and security standards.

2.⁠ ⁠Data Cleaning & Preprocessing

• Clean, transform, and organize large datasets using Python (pandas, NumPy) and SQL.

• Handle missing data, duplicates, and outliers while ensuring consistency and quality.

• Automate data preparation using Linux scripting, Airflow, or cloud-native schedulers.

3.⁠ ⁠Data Analysis & Insights

• Perform exploratory data analysis (EDA) to identify key trends, correlations, and drivers.

• Apply statistical techniques such as regression, time-series analysis, and hypothesis testing.

• Use Excel (including pivot tables) and BI tools (Tableau, Power BI, Looker, or Google Data Studio) to develop insightful reports and dashboards.

• Present findings and recommendations to cross-functional stakeholders in a clear and actionable manner.

4.⁠ ⁠Predictive Modeling & Machine Learning

• Build and optimize predictive and classification models using scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, and H2O.ai.

• Perform feature engineering, model tuning, and cross-validation for performance optimization.

• Deploy and manage ML models using Vertex AI (GCP), AWS SageMaker, or Azure ML Studio.

• Continuously monitor, evaluate, and retrain models to ensure business relevance.

5.⁠ ⁠Reporting & Visualization

• Develop interactive dashboards and automated reports for performance tracking.

• Use pivot tables, KPIs, and data visualizations to simplify complex analytical findings.

• Communicate insights effectively through clear data storytelling.

6.⁠ ⁠Collaboration & Communication

• Partner with business, engineering, and product teams to define analytical goals and success metrics.

• Translate complex data and model results into actionable insights for decision-makers.

• Advocate for data-driven culture and support data literacy across teams.

7.⁠ ⁠Continuous Improvement & Innovation

• Stay current with emerging trends in AI, ML, data visualization, and cloud technologies.

• Identify opportunities for process optimization, automation, and innovation.

• Contribute to internal R&D and AI product development initiatives.

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Required Skills & Qualifications

Technical Skills

• Programming: Proficient in Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, H2O.ai).

• Databases & Querying: Advanced SQL skills; experience with BigQuery, Redshift, or Azure Synapse is a plus.

• Cloud Expertise: Hands-on experience with one or more major platforms — Google Cloud, AWS, or Azure.

• Visualization & Reporting: Skilled in Tableau, Power BI, Looker, or Excel (pivot tables, data modeling).

• Data Engineering: Familiarity with ETL tools (Airflow, dbt, or similar).

• Operating Systems: Strong proficiency with Linux/Unix for scripting and automation.

Soft Skills

• Strong analytical, problem-solving, and critical-thinking abilities.

• Excellent communication and presentation skills, including data storytelling.

• Curiosity and creativity in exploring and interpreting data.

• Collaborative mindset, capable of working in cross-functional and fast-paced environments.

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Education & Certifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• Master’s degree in Data Analytics, Machine Learning, or Business Intelligence preferred.

• Relevant certifications are highly valued:

• Google Cloud Professional Data Engineer

• AWS Certified Data Analytics – Specialty

• Microsoft Certified: Azure Data Scientist Associate

• TensorFlow Developer Certificate

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Why Join Hudson Data

At Hudson Data, you’ll be part of a dynamic, innovative, and globally connected team that uses cutting-edge tools — from AI and ML frameworks to cloud-based analytics platforms — to solve meaningful problems. You’ll have the opportunity to grow, experiment, and make a tangible impact in a culture that values creativity, precision, and collaboration.

About the company

KPMG International Limited, commonly known as KPMG, is one of the largest professional services networks in the world, recognized as one of the "Big Four" accounting firms alongside Deloitte, PricewaterhouseCoopers (PwC), and Ernst & Young (EY). KPMG provides a comprehensive range of professional services primarily focused on three core areas: Audit and Assurance, Tax Services, and Advisory Services. Their Audit and Assurance services include financial statement audits, regulatory audits, and other assurance services. The Tax Services cover various aspects such as corporate tax, indirect tax, international tax, and transfer pricing. Meanwhile, their Advisory Services encompass management consulting, risk consulting, deal advisory, and other related services.

Apply through this link for quicker response-https://forms.gle/aSyXcxVNzQptbWt9A

Job Description

Position: ML Engineer

Experience: Experience 4+ years of relevant experience

Location :  WFO (3 days working) Pune – Kharadi

Employment Type:  contract for 3-5 months-Can be extended basis performance and future requirements

Skills Required:

  • Building and maintaining pipelines for model development, testing, deployment, and monitoring. 

• Automating repetitive tasks such as model re-training, hyperparameter tuning, and data validation. 

• Developing CI/CD pipelines for seamless code migration. 

• Collaborating with cross-functional teams to ensure proper integration of models into production systems. 

Key Skills 

• 3+ years of experience in developing and deploying ML models in production. 

• Strong programming skills in Python (with familiarity in Bash/Shell scripting). 

• Hands-on experience with tools like Docker, Kubernetes, MLflow, or Airflow. 

• Knowledge of cloud services such as AWS SageMaker or equivalent. 

• Familiarity with DevOps principles and tools like Jenkins, Git, or Terraform. 

• Understanding of versioning systems for data, models, and code. 

• Solid understanding of MLflow, ML services, model monitoring, and enabling logging services for performance tracking

Responsibilities include:  

• Develop and maintain data validation logic in our proprietary Control Framework tool 
• Actively participate in business requirement elaboration and functional design sessions to develop an understanding of our Operational teams’ analytical needs, key data flows and sources 
• Assist Operational teams in the buildout of Checklists and event monitoring workflows within our Enterprise Control Framework platform 
• Build effective working relationships with Operational users, Reporting and IT development teams and business partners across the organization 
• Conduct interviews, generate user stories, develop scenarios and workflow analyses  
• Contribute to the definition of reporting solutions that empower Operational teams to make immediate decisions as to the best course of action 
• Perform some business user acceptance testing 
• Provide production support and troubleshooting for existing operational dashboards  
• Conduct regular demos and training of new features for the stakeholder community 

Qualifications  

• Bachelor’s degree or equivalent in Business, Accounting, Finance, MIS, Information Technology or related field of study 
• Minimum 5 years’ of SQL required 
• Experience querying data on cloud platforms (AWS/ Azure/ Snowflake) required 
• Exceptional problem solving and analytical skills, attention to detail and organization 
• Able to independently troubleshoot and gather supporting evidence  
• Prior experience developing within a BI reporting tool (e.g. Spotfire, Tableau, Looker, Information Builders) a plus  
• Database Management and ETL development experience a plus 
• Self-motivated, self-assured, and self-managed  
• Able to multi-task to meet time-driven goals  
• Asset management experience, including investment operation a plus 

About the company:

We are an IT & Consulting organization helping Enterprises with their Analytics and Planning needs. Their Rockstar team has built multiple products and solutions to cater to our clients across sectors such as Retail & E-commerce, Consumer Goods, Pharmaceuticals & Life Sciences, Real Estate, Hi-tech, Manufacturing, and Automotive.

We have a geographic presence in the United States (Dallas) & India (Delhi-NCR, Mumbai, Bangalore & Kolkata) and have 600+ people, a strong world-class team. We are growing at a rapid pace and plan to double our growth each year. This provides immense growth and learning opportunities to those who are choosing to work with Polestar. We are serving customers across 20+ countries. Our expertise and deep passion for what we do has brought us many accolades. 

Profile Summary

We are looking for individuals with a leadership mindset in sales, who comes with strong consultative sales experience.

Key Responsibility 

Create a systematic, process-driven approach to partner outreach and relationship management.

Keep a great ongoing relationship with AWS and offer new ways to grow the partnership.

Can-do attitude individual who enjoys networking and establishing relationships.

Manage high-value corporate partnerships and develop long-term strategies to secure multi-year strategic partnerships.

Analyse and identify opportunities to secure new business by partnering with Anaplan.

Drive the team towards sales targets, has visibility of all opportunities and risk, and ensures the team has a healthy pipeline and proposal tracking systems.

Identify new markets to widen the market base for enhanced revenue and profit generation.

Administer the entire sales process as per plan.

Manage Anaplan engagements to design strategies to acquire more business deals through OEMs.

Manage pricing and other sales proposal activities and provide support to the marketing department.

Owns the business plan: financial target/proposal submission/revenue on hand/pipeline. Overall business planning and forecasting.

Collaborate with Anaplan for conducting events for enhancing business growth.

Negotiates with clients and uses the right levers in doing so. Clearly links the value of Polestar Solutions offerings with the price.

Takes overall accountability for business planning and implementation.

Personal Attributes

You have the resilience to bounce back after minor setbacks.

You have the achievement orientation to achieve the target and do what it takes.

JD For Embedded C Engineer requirements :

Mandatory Skillsets are as below :

1. Embedded SW development background

2. Embedded C/C++/

3. Hands-on experience in RTOS Programming.

4. Working knowledge of SDLC and methodologies/tools for requirement management.

5. Experience working in an agile development environment.

Quantum Corp. leads the world in helping users collaboratively solve some of the world's hardest computer challenges. Whether its wrangling Petabytes of data for cutting edge movie production, managing global content production workflows, exploring new sources of energy, or managing oceans of content and blending collaborative high-speed workflows with cutting-edge object storage, Quantum has the tools and technology to help you engineer the solution that works now - and preserves your work for decades to come. You are applying to an exceptional team that contributes to enhancing our position as a proven global expert in data management.

Job Summary and Duties:

This position will highlight new product development, as well as feature development and bug fixing of existing products serving the expanding big data, NAS, virtualization, replication, and file systems market. This position is required to be well rounded in operating system including all flavors of Linux, Windows, and MacOS. Building specialized core (user space and kernel space) software is the main function of this role.

Specific duties include but are not limited to:

• Development and maintenance of new Primary Storage products.

• Investigating and resolving issues in existing products related application workflows, cross-platform interactions, and new operating systems.

• Triage and disposition incoming issues from support cases, customer interactions, and new feature requests.

Job Requirements:

• Minimum 8 years of combined education and experience including 5 years of C/C++ programming.

• Expertise with SMB/NFS networking protocol stacks (Samba).

• Filesystem VFS layer expertise (Samba VFS modules).

• Experience with Python and Linux shell programming.

• Experience with SAN and Ethernet networking technologies.

• Ability to work in a team environment.

• Strong communication skills.

Desired Skills:

• Knowledge of kernel internals including any of the following: Linux and Mac OS X.

• Interfaces with special purpose file system APIs and web services required.

• Knowledge and experience with container technologies (Kubernetes, Docker)

• Knowledge and experience with Virtualization technologies: ESX, KVM

• Experience working in an Agile environment using CI methodologies.

Responsibilities:

• Must have hands-on working experience in NodeJS with Typescript
• Must have experience of large size product development process
• Must have detailed knowledge of designing and developing performant REST APIs 
• Must have hands-on experience on Postgres DB and MongoDb / any NoSQL DB 
• Must be comfortable working with git and CI CD pipelines and deployment strategies
• Should be able to build a new team and work with your engineers and mentor them
• Collaborate with cross-functional teams to define, design, and ship new features
• Ensure the performance, quality, and responsiveness of applications
• Identify and correct bottlenecks and fix bugs
• Continuously discover, evaluate, and implement new technologies to maximise development efficiency
• Should be open to learn new domain and work in fast paced environment 
• Responsible to deliver end to end module/product/project scope

Requirements:

• 4+ years of experience as a Full Stack Developer with a strong focus on Nodejs with TypeScript and React JavaScript
• Solid understanding of web application architecture, including RESTful API design and development
• Experience with front-end development using tailwind , bootstrap ,HTML, CSS, and JavaScript, typescript
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills

• Write copy for a variety of media including social, print, video, and online
• Edit and proof work to ensure high editorial standards are met across all content outputs
• Collaborate with creative, product, marketing, and legal to assess project needs and help with messaging
• Drive brand consistency across all company communications
• Develop and implement brand guidelines
• Stay current on trends and competitors within the editorial sphere
• See projects through the whole creative lifestyle, from inception to deployment
• Strong creative thinking skills and ability to think conceptually
• Comfortable working independently with little direction under tight deadlines
• Excellent writing, editing, and proofreading skills with a diligent eye for detail, language, flow, and grammar
• Proven ability to demonstrate brand voice
• Strong attention to detail
• Excellent portfolio of work