Business Development Executive

Ideal Candidate

1+ year of experience working as a business development representative (or other relevant roles) at a B2B SaaS company.

Solid hustle and entrepreneurial mindset; Thrive under the uncertainty that comes with an early stage setup.

Excellent written and oral communication skills.

Experience working with CRM, lead databases, sales engagement tools, ChatGPT, etc

Familiarity with CRM systems and proficiency in managing leads, pipelines, and automations

Willingness to get your hands dirty and do the grunt work in the early days

Strong first principles understanding of business fundamentals; Ability to empathize with the end user, and understand their pain points; Ability to understand the product at a granular level

Comfortable working late at night to ensure sufficient overlap with US prospects

Self-driven individual with high ownership and strong work ethic

Ability to build, manage and motivate a team

Not taking yourself too seriously :)

Function Expertise

Maintain oversight of developments in the BFSI, Fintech regulatory environment.

Anti Money Laundering (AML):

Develop internal procedures to prevent money laundering.

Build new scenarios/rules, create BRDs, and evaluate exception reports and alert closures.

Evaluate the performance of AML monitoring tools and negative list screening.

Review policies and procedures in the AML program (KYC/CDD/EDD).

Ensure information consistency with AML policies and regulatory requirements.

Support an annual review of the AML monitoring system and process.

Drive compliance program and monitor systems.

Compliance reviews:

Ensure policies and procedures are followed and monitor improvements.

Monitor regulatory changes:

Interpretation and dissemination of information to departments for implementation.

Focus on self-learning and development on relevant guidelines.

Maintain and periodically review necessary policies under various regulations.

Problem Solving

Proactively manage potential regulatory risks.

Identify inconsistencies in data and transactions:

Formulate strategic recommendations on policies, procedures, and practices.

Develop solutions to address specific challenges faced by business units in regulatory compliance matters, including impact assessments.

Guide transaction monitoring teams:

Address critical areas such as suspicious transactions and name match as per screening output.

Conduct process audits/reviews:

Escalate high-risk issues to management.

Identify and inform changes in legislation and regulatory requirements relating to AML.

Monitor and report critical gaps during reviews:

Recommend corrective actions.

Interaction

Guide and support internal teams:

Conduct face-to-face training for internal teams and business units.

Liaison/follow-up with inter-departments:

Ensure timely completion/updating of compliance tasks.

Report suspicious transactions:

Report to regulators (e.g., FIU) and other stakeholders (e.g., Partner Banks).

Assist the Head of Compliance:

Provide updates to senior management on critical compliance issues for immediate attention and escalation.

To succeed in the role..

Qualifications:-

Any CS / LLB / MBA with at least 6 years of experience in BFSI /Fintech compliance space focusing on AML and KYC related compliance.

Experience in BFSI & Fintech (Prefer compliance persons from NBFC/bank who has experience in handling lending processes, AML compliance, product compliances etc . Should have dealt with Regulatory audits (RBI audits / Inspections) & communicated with regulators actively on compliance related matters).

Customer Support & Quality Assurance Executive

Location: Hyderabad (Onsite)

Experience: 1–3 years in QA, tech support, or similar role

Department: Product & Customer Success

The Opportunity

At WINIT, we don’t just build products — we deliver experiences our customers love. As a Customer Support & Quality Assurance Executive, you’ll play a dual role: ensuring our solutions meet the highest quality standards and being the friendly, capable voice that helps customers get the most out of our technology.

This is a perfect role if you enjoy solving problems, improving processes, and making customers feel supported — while also working hands-on with cutting-edge enterprise software. You’ll also have the opportunity to use AI tools like ChatGPT, AI-powered testing assistants, and automation platforms to work smarter, resolve queries faster, and improve efficiency across both QA and support.

What You’ll Do

Quality Assurance (QA)

● Review and analyze product specifications and user requirements to ensure complete understanding.

● Design, execute, and maintain test cases for web and mobile applications.

● Log, track, and manage bugs; work closely with developers to ensure timely fixes.

● Conduct regression, functional, and usability testing to ensure every release is rock-solid.

● Use AI-powered testing tools to generate test scenarios, identify edge cases, and speed up validation.

Customer Support

● Provide timely, professional assistance via email, chat, or phone to global customers.

● Manage and support multiple customers simultaneously, prioritizing effectively.

● Use AI-driven knowledge bases and tools to quickly resolve common queries.

● Document and escalate complex issues to the right teams for resolution.

● Help onboard new customers by guiding them through key features and best practices.

● Collect feedback, identify recurring pain points, and share insights with the product team.

What You Bring

● Any bachelor’s degree — we value skills and attitude over specific majors.

● 1–3 years of experience in QA, customer support, or a similar technical/customer-facing role (SaaS/B2B tech experience preferred).

● Excellent English communication skills (verbal & written).

● Ability to handle multiple customers and tickets simultaneously while staying organized.

● Strong understanding of QA processes and familiarity with bug tracking tools (JIRA, TestRail, etc.).

● Experience with support platforms like Zendesk, Freshdesk, or Intercom is a plus.

● Familiarity with AI productivity tools for testing, ticket triage, and customer communications.

● A proactive, problem-solving mindset and the ability to manage multiple priorities.

Why WINIT

● Be part of a global leader in AI-powered Sales & Distribution solutions.

● Work in a role that blends technical expertise with customer interaction — no two days are the same.

● Learn and apply the latest AI tools to improve your efficiency and impact.

● Collaborate with talented teams in a culture that values innovation and continuous improvement.

● Competitive salary + growth opportunities within QA, Customer Success, or Product teams.

If you’re ready to combine your eye for quality with your passion for helping multiple customers succeed — and do it in an AI-first environment — we’d love to meet you.

The Logistics Executive is responsible for managing and coordinating end-to-end logistics and shipping operations to ensure timely, cost-effective, and compliant movement of goods. The role involves close coordination with internal teams, freight forwarders, CHA, transporters, vendors, and third-party agencies to support smooth export and import operations.

Key Responsibilities

• Negotiate ocean freight rates with shipping lines and freight forwarders and arrange competitive quotations as per shipment requirements.
• Provide daily freight rate updates to concerned internal departments.
• Book vessels and containers in line with shipment schedules and customer commitments.
• Track and update daily shipment status in Excel/MIS sheets and circulate updates to stakeholders.
• Monitor container lift-on, lift-off, gate-in, gate-out, and stuffing activities to ensure operational accuracy.
• Supervise daily container stuffing and coordinate with operations teams to avoid delays or discrepancies.
• Monitor the movement of export documents and ensure timely submission to CHA, forwarders, banks, and customers.
• Coordinate with CHA, forwarders, transporters, vendors, and internal operations teams for smooth shipment execution.
• Track shipments from origin until final delivery at destination and resolve transit-related issues.
• Handle coordination for third-party agency certifications, inspections, and related documentation.
• Monitor freight, transportation, and logistics invoices and coordinate with Accounts department, CHA, forwarders, and vendors for verification and payment processing.
• Identify, track, and report additional local charges and cost variations to management.
• Follow up with forwarders for release of Delivery Orders (D.O.), container availability, and booking confirmations.
• Handle troubleshooting situations such as delays, rollovers, documentation issues, port congestion, or operational challenges.
• Prepare and maintain daily, weekly, and monthly MIS reports for management review.

Reporting & Documentation

• Conduct periodic reporting of all logistics and shipment-related activities.
• Manage documentation, filing, and record-keeping in compliance with company and regulatory requirements.
• Prepare reports as required by the Reporting Manager, Directors, or Managing Director.

Ad-hoc & Development Activities

• Assist in ad-hoc logistics and operational activities as assigned.
• Develop, review, and update Standard Operating Procedures (SOPs) to improve efficiency and compliance.
• Participate in periodic logistics-related visits and meetings with vendors, CHA, forwarders, and service providers as required for smooth operations.

Skills & Competencies

• Strong knowledge of logistics, shipping, and export/import procedures
• Excellent coordination and communication skills
• Proficiency in MS Excel and MIS reporting
• Good negotiation and cost-control abilities
• Strong problem-solving and troubleshooting skills
• Ability to multitask and work under deadlines

Job Title : Applied AI Engineer (AI/ML & LLM Deployment)

Experience : 4+ Years

Location : Remote

Job Summary :

We are looking for an Applied AI Engineer with strong expertise in Large Language Models (LLMs) to design, optimize, and deploy advanced AI solutions. The role focuses on LLM integration, fine-tuning, and performance optimization for scalable production use.

Mandatory Skills :

LLM Integration, Prompt Engineering, LangChain/LlamaIndex, Fine-tuning & LoRA, Model Quantization, Local Deployment, Tokenizers, Performance Optimization.

Key Responsibilities :

• Integrate GPT-4, Claude, and open-source LLMs into applications.
• Design and implement prompt engineering for context-specific, tone-appropriate outputs.
• Build AI pipelines using LangChain, LlamaIndex, or similar frameworks.
• Perform fine-tuning and LoRA (Low-Rank Adaptation) to customize models.
• Apply model quantization (GGML, GPTQ, bitsandbytes) for efficient deployment.
• Deploy models with Hugging Face Transformers, vLLM, llama.cpp.
• Optimize tokenization and inference performance for low latency.

Required Skills :

• Strong hands-on experience with LLMs (OpenAI GPT-4, Claude, open-source models).
• Proficiency in Prompt Engineering and tone-specific output design.
• Experience with LangChain, LlamaIndex, or other orchestration frameworks.
• Knowledge of fine-tuning, LoRA techniques, and quantization methods.
• Familiarity with deployment frameworks (Transformers, vLLM, llama.cpp).
• Strong understanding of tokenizers and efficient text preprocessing.
• Ability to optimize models for real-time, low-latency inference.
• Solid programming skills in Python and experience with PyTorch/TensorFlow.

Nice to Have :

• Exposure to MLOps tools (Docker, Kubernetes, CI/CD for AI).
• Experience with evaluation frameworks for LLMs.
• Knowledge of multi-modal models (text, vision, audio).

Primary Responsibilities

• Understand current state architecture, including pain points.
• Create and document future state architectural options to address specific issues or initiatives using Machine Learning.
• Innovate and scale architectural best practices around building and operating ML workloads by collaborating with stakeholders across the organization.
• Develop CI/CD & ML pipelines that help to achieve end-to-end ML model development lifecycle from data preparation and feature engineering to model deployment and retraining.
• Provide recommendations around security, cost, performance, reliability, and operational efficiency and implement them
• Provide thought leadership around the use of industry standard tools and models (including commercially available models and tools) by leveraging experience and current industry trends.
• Collaborate with the Enterprise Architect, consulting partners and client IT team as warranted to establish and implement strategic initiatives.
• Make recommendations and assess proposals for optimization.
• Identify operational issues and recommend and implement strategies to resolve problems.

Must have:

• 3+ years of experience in developing CI/CD & ML pipelines for end-to-end ML model/workloads development
• Strong knowledge in ML operations and DevOps workflows and tools such as Git, AWS CodeBuild & CodePipeline, Jenkins, AWS CloudFormation, and others
• Background in ML algorithm development, AI/ML Platforms, Deep Learning, ML Operations in the cloud environment.
• Strong programming skillset with high proficiency in Python, R, etc.
• Strong knowledge of AWS cloud and its technologies such as S3, Redshift, Athena, Glue, SageMaker etc.
• Working knowledge of databases, data warehouses, data preparation and integration tools, along with big data parallel processing layers such as Apache Spark or Hadoop
• Knowledge of pure and applied math, ML and DL frameworks, and ML techniques, such as random forest and neural networks
• Ability to collaborate with Data scientist, Data Engineers, Leaders, and other IT teams
• Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
• Willing to flex daily work schedule to allow for time-zone differences for global team communications
• Strong interpersonal and communication skills