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Review Criteria

• Strong Data Scientist/Machine Learnings/ AI Engineer Profile
• 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
• Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
• Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
• Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
• Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
• Preferred (Company) – Must be from product companies

Job Specific Criteria

• CV Attachment is mandatory
• What's your current company?
• Which use cases you have hands on experience?
• Are you ok for Mumbai location (if candidate is from outside Mumbai)?
• Reason for change (if candidate has been in current company for less than 1 year)?
• Reason for hike (if greater than 25%)?

Role & Responsibilities

• Partner with Product to spot high-leverage ML opportunities tied to business metrics.
• Wrangle large structured and unstructured datasets; build reliable features and data contracts.
• Build and ship models to:
• Enhance customer experiences and personalization
• Boost revenue via pricing/discount optimization
• Power user-to-user discovery and ranking (matchmaking at scale)
• Detect and block fraud/risk in real time
• Score conversion/churn/acceptance propensity for targeted actions
• Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
• Design and run A/B tests with guardrails.
• Build monitoring for model/data drift and business KPIs

Ideal Candidate

• 2–5 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
• Proven, hands-on success in at least two (preferably 3–4) of the following:
• Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
• Fraud/risk detection (severe class imbalance, PR-AUC)
• Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
• Propensity models (payment/churn)
• Programming: strong Python and SQL; solid git, Docker, CI/CD.
• Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
• ML breadth: recommender systems, NLP or user profiling, anomaly detection.
• Communication: clear storytelling with data; can align stakeholders and drive decisions.

Experience & Education

• Experience: 6–8 years in SAP PP-QM (ECC or S/4HANA), with cross-module knowledge
• Education: Graduate in any discipline (minimum 4 academic years)
• Domain Expertise: Minimum 3 years in Planning, Production Control, or Shop Floor Management

Implementation & Technical Skills

• SAP Projects: Minimum 3 full-cycle SAP PP/QM implementations
• S/4HANA Exposure: Familiarity with Fiori, PPDS, ATP, and other innovations
• Production Process Mapping: Expertise in aligning organizational elements with production processes
• Demand Management & MRP: Strong command over planning, MRP, and execution
• Shop Floor Management: Production order Process and Configurations.
• Quality Management: Configuration of QM processes including notifications, inspections, calibrations, and interfaces
• PLM Integration: Experience with product lifecycle management and tools like Siemens Teamcenter, MES, Ariba, Supplier 360, Windchill
• Cross-Module Integration: Proficient in integrating with S/4HANA, PDR, and external systems
• Plant Maintenance (PM): Basic understanding and ability to handle minor PM-related tasks
• ABAP: Basic debugging and technical understanding

Work Culture & Responsibilities

• Independently manage PP/QM projects and support calls
• Collaborate across culturally diverse teams in Asia, Middle East, and Africa
• Conduct workshops to gather and analyze business requirements
• Deliver end-to-end SAP solutions: Blueprinting, Design, Functional Specs, Testing, Training, and Deployment
• Execute PP/QM enhancements and changes within defined timelines
• Manage master and transactional data migrations using SAP tools
• Ensure compliance with audit standards, information security, and GRCM guidelines

Value Additions

• Drive innovation in PP/QM functionalities beyond standard templates
• Actively contribute to ABB initiatives such as CSI, cost optimization, best utilization, and AppRun team efforts

We are looking for an enthusiastic, fashion-forward, friendly and organised candidate to head our flagship retail store in Bandra, Mumbai. We are an all-girls team and hence are only hiring FEMALE candidates. We have a beautiful store and are looking for someone who can elevate the store experience for customers while achieving our sales targets, We look forward to making a great new addition to our team! Retail experience is a big bonus!

1. Design patterns- socket communication/ micro services architecture

2. Caching - REDIS MEMCACHED etc

3. Database - MONGO, SQL etc. min 2yrs experience with these.

4. Features created for large concurrent requests.

5. Node Js, Go lang any asynchronous programming language min 2 yrs exp with any one of them.

6. Message Queues - RABBIT MQ, Kafka etc.

Responsibilities

1. Identify new prospects via platforms like LinkedIn, Bidding Portals other portals.
2. Research client industries, pain points, and decision-makers to do the outreach.
3. Maintain and update prospect lists and track outreach activities.
4.  Run cold outreach campaigns (emails, LinkedIn, Apollo sequences).
5. Qualify leads based on project scope, budget, and timelines.
6. Represent Bombay Softwares in the first interaction & clearly communicate our service offerings.
7. Schedule and lead discovery calls to understand client requirements.
8. Work with tech leads/project managers to gather inputs for technical calls when required.
9.  Prepare proposals, SoWs (Scope of Work), estimates, timelines, and other pre-sales documents.
10. Assist in drafting contracts, NDAs, and onboarding documents.
11. Negotiate pricing and service terms with potential clients.
12. Achieve the given quarterly sales target

Qualification & Skills

Mandatory

1. Experience with lead generation using LinkedIn, Apollo, and bidding portals.
2. Strong research skills to identify target industries, pain points, and decision-makers
3. Ability to run and manage cold outreach campaigns (emails, LinkedIn, Apollo sequences)
4. Skilled in qualifying leads based on project scope, budget, and timelines
5. Confident in leading discovery/client calls and representing the company
6. Excellent verbal and written communication skills
7. Hands-on experience in preparing proposals, SoWs, estimates, and timelines
8. Familiarity with contracts, NDAs, and onboarding documents
9. Strong negotiation skills around pricing and service terms.
10. Proficiency with CRM tools for managing pipelines and tracking activities
11. Ability to collaborate effectively with tech leads and project managers
12. Proven track record of achieving and exceeding sales targets.

• Configure, optimize, document, and support of the infrastructure components of software products (which are hosted in collocated facilities and cloud services such as AWS)
• Design and build tools and frameworks that support deployment and management and platforms
• Design, build, and deliver cloud computing solutions, hosted services, and underlying software infrastructures
• Build core functionality of our cloud-based platform product, deliver secure, reliable services and construct third party integrations
• Assist in coaching application developers on proper DevOps techniques for building scalable applications in the microservices paradigm
• Foster collaboration with software product development and architecture teams to ensure releases are delivered with repeatable and auditable processes
• Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restores of different environments
• Work independently across multiple platforms and applications to understand dependencies
• Evaluate new tools, technologies, and processes to improve speed, efficiency, and scalability of continuous integration environments
• Design and architect solutions for existing client-facing applications as they are moved into cloud environments such as AWS
• Competencies
• Full understanding of scripting and automated process management in languages such as Shell, Ruby and/ or Python
• Working Knowledge SCM tools such as Git, GitHub, Bitbucket, etc.
• Working knowledge of Amazon Web Services and related APIs
• Ability to deliver and manage web or cloud-based services
• General familiarity with monitoring tools
• General familiarity with configuration/provisioning tools such as Terraform
• Experience
• Experience working within an Agile type environment
• 4+ years of experience with cloud-based provisioning (Azure, AWS, Google), monitoring, troubleshooting, and related DevOps technologies
• 4+ years of experience with containerization/orchestration technologies like Rancher, Docker and Kubernetes

Data Scientist-

We are looking for an experienced Data Scientists to join our engineering team and

help us enhance our mobile application with data. In this role, we're looking for

people who are passionate about developing ML/AI in various domains that solves

enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering

problems.

As one of the earliest members in engineering, you will have the flexibility to design

the models and architecture from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

Please find below updated JD for Java requirement.

-Work with a performance-oriented team driven by ownership and open to experiment.

• -6+ years of Java advanced software development experience, with concurrent (multi-threaded) programming highly desirable.
• -Strong experience on Core Java 8, Java EE, Spring Boot, Maven and Docker including Multi-threading.

.          -Strong problem solving skills, computer science fundamentals, data structures and algorithms.

• -Hands on experience with any SQL Database.
• -Ability to learn new technologies like ELK, stack, redis etc.
• -Must have expert level knowledge in Java, Springboot.
• -Must have knowledge or hands on experience in microservices, apache kafka and distributed caching.

.           -Experience in distributed/scalable systems

• -Strong knowledge of design patterns and software engineering best practices.
• -Familiarity with standard development tools and processes: Git, Eclipse, JUnit test, debugging, profiling, etc.

.           -Familiarity with CI/CD and DevOps

.           -Strong knowledge and previous experience in end-to-end design, development and subsequent

             support of large-scale data processing systems

.           - Familiarity and confidence working in an agile development environment.

.           - Good Problem solving skills

• - Good oral and written communication skills.
• - Strong debugging skills.

Experience: 2 - 13 years
Skills: Testing, APPIUM, Selenium Automation, Mobileapp (Ios & Android) automation - using Apium
Industry: IT/Computers - Software
Functional Area: IT We looking for Automation Test Architect for 9 to 13 year of experiance and we want Testing, APIUM, Selenium Automation, Mobileapp (Ios & Android) automation - using Apium.
Planning, deploying and managing the testing effort for projects/releases.
Allocate resource to projects.
Review weekly Testers' status reports and take necessary actions
Escalate Testers' issues to the Sr. Management.
Estimate for testing projects. 6. Enforce the adherence to the company's Quality processes and procedures. Provide technical support to the Testing team.
Continuous monitoring and mentoring of Testing team members.
Review of test plans and test cases.
Immediate notification/escalation of problems to the Senior Management.
Defining the scope of testing within the context of each release/delivery.
Deploying and managing the appropriate testing framework to meet the testing mandate

Responsibilities
Analyzing the requirements from clients
Arranging Test Environment to execute the test cases
Conducting Review Meetings
Analyzing and executing Test Cases
Defect Tracking
Communicating with Test Manager
Creating test cases from the user stories or from test scenarios.
Requirements
Should have at least 5 - 15 years of overall development experience.
Experience with test management tools (JIRA , TFS , HP ALM , Quality Center , Bugzilla)
Experience in hands - on testing of physical devices is a plus
Experience designing , maintaining , and executing manual test cases to fully cover product functionality
Must have good analytical skills and proven experience in analyzing and testing complex business rules and rule engines
Must be able to (have experience) work independently on assigned tasks,

Job Type: Full-time

Salary: ₹300,000.00 to ₹1,400,000.00 /year