Automation Engineer

Key Responsibilities:

• Develop new business in liner shipping and container logistics.
• Manage existing client relationships and ensure service excellence.
• Negotiate rates, contracts, and agreements with customers.
• Achieve sales targets (volume, revenue, profitability).
• Track market trends, competitor activities, and customer needs.
• Provide sales reports and maintain accurate records.
• Develop new business opportunities in liner shipping, chartering (bulk, break bulk, or project cargo), and international forwarding.
• Maintain and expand a portfolio of shippers, consignees, brokers, and freight forwarders.
• Maintain database with accurate and updated client information, pipeline, and sales activities.
• Monitor market trends, competitor offerings, and freight rates to develop a competitive sales strategy.  

Role Overview:

The Sales Manager will be responsible for driving business growth through client acquisition, relationship management, and revenue generation within the BFSI segment. The role demands a mix of consultative selling, financial understanding, and market awareness.

Key Responsibilities:

• Identify, prospect, and onboard new clients within the BFSI domain.
• Manage existing client relationships to drive retention and cross-selling opportunities.
• Develop and execute sales strategies to achieve monthly and quarterly targets.
• Understand client requirements and provide tailored financial product solutions.
• Coordinate with internal teams for product presentations, demos, and deal closures.
• Track market trends, competitor movements, and emerging opportunities in the financial space.
• Maintain accurate records of leads, opportunities, and activities in CRM systems.

Required Skills & Qualifications:

• Bachelor’s degree in Business, Finance, or Marketing (MBA preferred).
• 2–4 years of experience in Sales / Business Development within BFSI, Fintech, or Financial Products domain.
• Strong understanding of financial products, investment solutions, or trading platforms.
• Excellent communication, negotiation, and presentation skills.
• Proven track record of meeting or exceeding sales targets.
• Strong networking and relationship management capabilities.
• Proficiency in MS Office and CRM tools.

Key Responsibilities

· Advanced ML & Deep Learning: Design, develop, and deploy end-to-end Machine Learning models for Content Recommendation Engines, Churn Prediction, and Customer Lifetime Value (CLV).

· Generative AI Implementation: Prototype and integrate GenAI solutions (using LLMs like Gemini/GPT) for automated Metadata Tagging, Script Summarization, or AI-driven Chatbots for viewer engagement.

· Develop and maintain high-scale video processing pipelines using Python, OpenCV, and FFmpeg to automate scene detection, ad-break identification, and visual feature extraction for content enrichment

· Cloud Orchestration: Utilize GCP (Vertex AI, BigQuery, Dataflow) to build scalable data pipelines and manage the full ML lifecycle (MLOps).

· Business Intelligence & Storytelling: Create high-impact, automated dashboards in to track KPIs for data-driven decision making

· Cross-functional Collaboration: Work closely with Product, Design, Engineering, Content, and Marketing teams to translate "viewership data" into "strategic growth."

Preferred Qualifications

· Experience in Media/OTT: Prior experience working with large scale data from broadcast channels, videos, streaming platforms or digital ad-tech.

· Education: Master’s/Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, or Data Science).

· Product Mindset: Ability to not just build a model, but to understand the business implications of the solution.

· Communication: Exceptional ability to explain "Neural Network outputs" to a "Creative Content Producer" in simple terms.

Mandatory Criteria

• Chartered Accountant (CA) qualification required.
• Strong command over Tally or equivalent accounting software.
• Proficiency in financial reporting, cost accounting, and budget management.
• In-depth understanding of direct and indirect tax laws.
• Experience in manufacturing industry accounting practices.
• Advanced Excel and data analysis skills.
• Strong communication, attention to detail, and problem-solving abilities.

OKR

• Prepare monthly MIS, P&L, balance sheets, and cashflow statements.
• Monitor and review project budgets to ensure adherence and cost control.
• Oversee daily accounting operations, ledgers, and reconciliations.
• Ensure accurate and timely statutory compliance (GST, TDS, PF, PT, ESIC).
• Support budgeting, forecasting, and audit preparation activities.
• Collaborate with cross-functional teams for financial planning and reporting.

If interested kindly share your resume at 82008 31681

Associate Manager - Mortgage Operations

We are seeking a driven and experienced professional to join our team as an Associate Manager for Mortgage Operations. This position is brimming with opportunities for professional growth and development, especially for a dedicated individual who thrives in a dynamic and customer-centric environment.

Key Responsibilities

·       Managing end-to-end Mortgage Operations ranging from Origination to Servicing.

·       Ensuring proactive Customer Relationship Management - You will be the single point of contact for customers to address any operations-related queries.

·       Ensuring required Service Level Agreements (SLA) and Turn Around Time (TAT) are maintained at all times.

·       Scheduling and attending regular meetings with clients to stay connected and reporting on team performance.

·       Streamlining transitions (offshore) with new clients without any challenges and ensuring effective communication during this process.

·       Identifying opportunities with existing customers for upselling and cross selling other services.

·       Creating/Managing process documentation for all customers.

·       Collaborating with the MIS team to ensure timely delivery of performance reports to all clients.

Skills and Qualifications

·       Prior experience in Operations Management.

·       12+ years in Mortgage Operations.

·       Experience of managing a team of 40-60 Full-time Employees.

·       Leadership and CRM skills.

·       Excellent Communication skills.

·       Transition Experience.

·       Hands-on experience in handling clients directly.

·       Proven track record in People Management.

Benefits

·       Performance-based Incentives.

·       Flexible work Environment.

Location

The role will be situated at our J P Nagar office.

CupShup is looking for Operations Executive for the respective city. You will be responsible to handle the network growth, BTL Campaign function & operations, audit i. e. internal audits, client audits, cost audits, etc.

Responsibilities:

• Exeuctiion of BTL / Offline marketing campaigns across locations
• Strengthening network of promoters 
• Vendor/Partners Empanelment
• Logistics and Collaterals
• Success of the campaigns
• Process improvement and streamlining
• GST Compliance and reconciliation
• For Client - Media, Financial, Rate Benchmarking, Competition
• Functional Audits as and when required by Management
• Regional reporting
• Network tracker
• Collaterals Tracker
• Partners Tracker

Requirements:

• Graduate
• 0-2 years of experience BTL marketing is a must
• Self Motivated, Passionate, and a never give up attitude
• Team player
• Fair at communication and expression
• Willing to learn not only operations but also marketing and the other functions
• Two wheeler driving and license is an added advantage

Technologies & Languages

• Azure
  • Databricks
  • SQL Sever
  • ADF
• Snowflake
  • Data Cleaning
  • ETL
• Azure Devops
• Intermediate Python/Pyspark
• Intermediate SQL
• Beginners' knowledge/willingness to learn Spotfire
• Data Ingestion
• Familiarity with CI/CD or Agile

Must have:

• Azure – VM, Data Lake, Data Bricks, Data Factory, Azure DevOps
• Python/Spark (PySpark) 
• SQL

Good to have:

• Docker
• Kubernetes
• Scala

He/she should have a good understanding in:

• How to build pipelines – ETL and Injection
• Data Warehousing
• Monitoring

Responsibilities:

Must be able to write quality code and build secure, highly available systems.

Assemble large, complex data sets that meet functional / non-functional business requirements.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc with the guidance.

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Monitoring performance and advising any necessary infrastructure changes.

Defining data retention policies.

Implementing the ETL process and optimal data pipeline architecture

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

Create design documents that describe the functionality, capacity, architecture, and process.

Develop, test, and implement data solutions based on finalized design documents.

Work with data and analytics experts to strive for greater functionality in our data systems.

Proactively identify potential production issues and recommend and implement solutions