
Strong MLOps profile
Mandatory (Experience 1) - Must have 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
Mandatory (Experience 2) - Must have 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
Mandatory (Experience 3) - Must have 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
Mandatory (Experience 4) - Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
Mandatory (Experience 5) - Must have hands-on Python for pipeline & automation development
Mandatory (Experience 6) - Must have 4+ years of experience in AWS cloud, with recent companies
Mandatory (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth
Preferred

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Job Title: AI/ML Engineer (Forecasting)
Company: WINIT
Location: Hyderabad
Experience: 0–2 Years
Job Summary:
We are looking for a skilled AI/ML Engineer with strong expertise in demand forecasting, predictive analytics, and emerging Generative AI technologies. The ideal candidate should have hands-on experience in machine learning, deep learning, NLP, and LLM-based solutions, along with proficiency in Python, SQL, Power BI, and advanced Excel. This role involves building scalable forecasting models and leveraging AI/GenAI to deliver actionable business insights.
Key Responsibilities:
- Develop and deploy demand forecasting models using machine learning and deep learning techniques.
- Analyze historical data to identify trends, seasonality, and demand patterns.
- Build predictive models to improve supply chain and inventory planning.
- Work with large datasets using Python and SQL for data extraction, transformation, and analysis.
- Design dashboards and reports using Power BI for business stakeholders.
- Utilize advanced Excel techniques (Pivot Tables, Power Query, formulas) for analysis and reporting.
- Build and integrate NLP-based solutions for text data analysis and insights.
- Develop and implement LLM-based applications using Generative AI frameworks.
- Design and deploy RAG (Retrieval-Augmented Generation) pipelines for intelligent data retrieval and response generation.
- Collaborate with cross-functional teams (operations, finance, product) to align forecasting and AI solutions.
- Continuously improve model accuracy and performance through experimentation and optimization.
Required Skills:
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
- Solid understanding of machine learning & deep learning algorithms.
- Experience in demand forecasting / time-series analysis (ARIMA, Prophet, LSTM, etc.).
- Hands-on experience with NLP techniques and libraries (NLTK, SpaCy, Transformers).
- Experience working with LLMs and Generative AI frameworks (OpenAI, Hugging Face, LangChain, etc.).
- Strong understanding of RAG architectures and vector databases (FAISS, Pinecone, etc.).
- Advanced knowledge of SQL for data manipulation.
- Hands-on experience with Power BI for visualization and reporting.
- Expertise in advanced Excel (Power Query, dashboards, data modeling).
- Strong analytical and problem-solving skills.
Preferred Qualifications:
- Experience in supply chain, logistics, or e-commerce forecasting.
- Knowledge of cloud platforms (AWS, Azure, or GCP).
- Familiarity with data pipelines and ETL processes.
- Understanding of business metrics and KPIs related to demand planning.
About WINIT
For more information, please visit: www.winitsoftware.com
Job Title : QA Lead (AI/ML Products)
Employment Type : Full Time
Experience : 4 to 8 Years
Location : On-site
Mandatory Skills : Strong hands-on experience in testing AI/ML (LLM, RAG) applications with deep expertise in API testing, SQL/NoSQL database validation, and advanced backend functional testing.
Role Overview :
We are looking for an experienced QA Lead who can own end-to-end quality for AI-influenced products and backend-heavy systems. This role requires strong expertise in advanced functional testing, API validation, database verification, and AI model behavior testing in non-deterministic environments.
Key Responsibilities :
- Define and implement comprehensive test strategies aligned with business and regulatory goals.
- Validate AI/ML and LLM-driven applications, including RAG pipelines, hallucination checks, prompt injection scenarios, and model response validation.
- Perform deep API testing using Postman/cURL and validate JSON/XML payloads.
- Execute complex SQL queries (MySQL/PostgreSQL) and work with MongoDB for backend and data integrity validation.
- Analyze server logs and transactional flows to debug issues and ensure system reliability.
- Conduct risk analysis and report key QA metrics such as defect leakage and release readiness.
- Establish and refine QA processes, templates, standards, and agile testing practices.
- Identify performance bottlenecks and basic security vulnerabilities (e.g., IDOR, data exposure).
- Collaborate closely with developers, product managers, and domain experts to translate business requirements into testable scenarios.
- Own feature quality independently from conception to release.
Required Skills & Experience :
- 4+ years of hands-on experience in software testing and QA.
- Strong understanding of testing AI/ML products, LLM validation, and non-deterministic behavior testing.
- Expertise in API Testing, server log analysis, and backend validation.
- Proficiency in SQL (MySQL/PostgreSQL) and MongoDB.
- Deep knowledge of SDLC and Bug Life Cycle.
- Strong problem-solving ability and structured approach to ambiguous scenarios.
- Awareness of performance testing and basic security testing practices.
- Excellent communication skills to articulate defects and QA strategies.
What We’re Looking For :
A proactive QA professional who can go beyond UI testing, understands backend systems deeply, and can confidently test modern AI-driven applications while driving quality standards across the team.
Job Details
- Job Title: Sales Account Executive (US Market)
- Industry: SaaS Industry
- Function - Sales/Business Development
- Experience Required: 4-6 years
- Work Mode: HYBRID
- Working Day: 5
- Job Location: Bangalore
Required Skills: B2B SaaS / Cybersecurity Sales, Outbound & Pipeline Ownership, Revenue & Quota Management, US Enterprise Sales, High Ownership Mindset
Criteria:
- Candidate must have prior experience in B2B SaaS or Cybersecurity.
- Candidate must have a minimum of 3+ years of experience selling to the US market.
- Candidate must have a proven track record of closing mid-market and enterprise-level deals in a SaaS environment.
- Candidate must have experience managing and achieving $300K–$500K annual revenue targets.
- Candidate must have strong exposure to the full sales cycle, with emphasis on outbound acquisition and pipeline ownership.
- Candidate must be a high-agency, self-driven operator with consistent quota attainment.
- Candidate should not have any employment gap longer than 3 months
Job Description
The Opportunity: -
The Sales team at company is one of the most dynamic and high-impact teams in the organization. You will engage directly with CXOs and senior leaders of global enterprises and own large, complex, high-value sales cycles.
This role offers you the opportunity to build, own, and scale revenue, grow professionally, and work closely with leadership while helping company scale globally.
Who We’re Looking For: -
Experience & Profile
- 4–5 years of experience in end-to-end enterprise sales in a B2B SaaS or IT company
- Prior experience selling cybersecurity solutions is a strong plus
- Proven ability to build and manage a strong enterprise pipeline
- Comfortable owning outbound pipeline generation in addition to inbound
- Strategic thinker who can also execute with speed and discipline
- Highly proactive, coachable, and growth-oriented mindset
Key Responsibilities: -
- Own the full sales lifecycle — from prospecting and discovery to demos, proposals, negotiations, and closure
- Build trusted advisor relationships with enterprise stakeholders and executive sponsors
- Understand client needs deeply and convert them into high-value enterprise contracts
- Work cross-functionally with marketing, product, delivery, and finance teams to ensure customer success
- Track competitors and market trends to refine sales and go-to-market strategies
- Consistently exceed revenue targets while delivering an excellent customer experience
Required Skills & Competencies: -
- Strong experience in requirement gathering, writing SOWs, handling RFI/RFPs, and commercial proposals
- Solid understanding of enterprise sales frameworks like BANT, MEDDICC, MEDDPICC
- Experience with outbound and proactive pipeline generation
- Proficient with CRMs like HubSpot or Salesforce and strong CRM hygiene
- Excellent communication, negotiation, presentation, and stakeholder management skills
- Comfortable working in shifts when required
Why Join Company: -
- High Ownership & Impact: You will own meaningful problems and drive real business outcomes
- Competitive Pay + Equity: We offer market-aligned salaries and ESOPs for top performers
- Holistic Growth: Continuous learning, structured enablement, and leadership exposure
- Transparency & Culture: Open communication, fast feedback loops, and a strong ownership culture
- Well-being: Health insurance up to ₹5L for you and your family (including parents) + Cult Fit membership
- Strong Product Designer profile, with both UI and UX works for B2C Products
- Mandatory (Experience 1) - Must have a 3+ YOE in end-to-end Product Design, including UX work like UX Research, User Persona, Workflows
- Mandatory (Experience 2) - Expertise in tools like Figma, Sketch, Adobe XD, and others to create high-fidelity wireframes and prototypes
- Mandatory (Portfolio) - Must have a strong portfolio of UI/UX of Good B2C products. Portfolio must show detailed case studies including Wireframing, Prototype, Interaction Design and Visual Designs
Preferred
Job Description
We are seeking a skilled Full-stack developer. As a Full-stack developer, you will collaborate with an international cross-functional teams to design, develop, and deploy high-quality software solution.
Responsibilities:
Design, develop, and maintain the application.
Write clean, efficient, and reusable code.
Implement new features and functionality based on business requirements.
Participate in system and application architecture discussions.
Create technical designs and specifications for new features or enhancements.
Write and execute unit tests to ensure code quality.
Debug and resolve technical issues and software defects.
Conduct code reviews to ensure adherence to best practices.
Identify and fix vulnerabilities to ensure application integrity.
Working with the product owner to ensure seamless integration of user-facing elements.
Collaborating with DevOps teams for deployment and scaling.
Requirements:
Bachelor’s degree in computer science or information technology, or a related field.
Proven experience as a skilled Full-stack developer. Experience in Insurance domain is appreciated.
Excellent problem-solving and debugging skills.
Strong communication and collaboration abilities to work effectively in a team environment.
Strong experience with Spring Boot 3, Java 17 or newer and Maven.
Skills & Requirements
Angular 18+, GitHub, IntellJ IDEA, Java 11+, Jest, Kubernetes, Maven, Mockito, NDBX/ng-aquila, NGRX, Spring Boot, State Management, Typescript, Playwright, PostgreSQL, Sonar, Swagger, AWS, Camunda, Dynatrace, Jenkins, Kafka, NGXS, Signals, Taly.
We're looking for highly skilled experienced engineers to design and build high-scale, cloud-based data processing systems that can handle massive amounts of data with low latency. You'll work with a team of smart, motivated, and diverse people and be given the autonomy and support to do your best work. This is a rare opportunity to make a meaningful impact in society while working in a dynamic and flexible workplace where you'll belong and be encouraged.
Qualifications:
- Bachelor's Degree required
- Significant experience with distributed systems.
- Experience with modern programming languages such as Java, C#, C/C++, or Ruby.
- Experience with container platforms such as DC/OS, Kubernetes
- Fluency in technologies and design concepts around Big Data processing and relational databases, such as the Hadoop ecosystem, Map/Reduce, stream processing, etc.
- Experience with production operations and good practices for putting quality code into production and troubleshooting issues when they arise.
- Effective communication of technical ideas verbally and in writing, including technical proposals, design specs, architecture diagrams, and presentations.
- Ability to collaborate effectively with the team and other stakeholders.
- Preferably, production experience with Cloud and data processing technologies.
Responsibilities:
As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. Define specifications for significant new projects and specify, design and develop software according to those specifications. You will perform professional software development tasks associated with the developing, designing and debugging of software applications or operating systems.
- Design and build distributed, scalable, and fault-tolerant software systems.
- Build cloud services on top of the modern OCI infrastructure.
- Participate in the entire software lifecycle, from design to development, to quality assurance, and to production.
- Invest in the best engineering and operational practices upfront to ensure our software quality bar is high.
- Optimize data processing pipelines for orders of magnitude higher throughput and faster latencies.
- Leverage a plethora of internal tooling at OCI to develop, build, deploy, and troubleshoot software.
2) Experience of working with source control and bug tracking tools used for development
3) Experience in developing user interfaces using bootstrap for web applications
4) Exposure to OOPS concept
5) Exposure to different Framework & principles for SDLC development
6) Exposure to writing stored procedures, views & designing tables.
7) The developer will be an integral part of Applications engineering team.
8) Appreciate & Develop high quality Front End/UI for web applications.
About Company
Our client is a leading mid‐market investment bank with strong practices around M&A, PE, Capital Markets, Institutional Equities, Wealth Management, Insurance Broking, and Portfolio Management Services.
Roles & responsibilities
• Onboarding, Handling, and Managing HNI / Ultra HNI clients.
• Accountable to achieve Annual revenue, AUM & Strategic product targets in the respective geography.
• Aiming for consistent growth of customer wallet share and book size.
• Advising and meeting clients on their business and investment needs based on their risk appetite and performance objective through various structuring solutions.
• Constantly review client portfolios and give a bird’s eye view.
• Ability to work in partnership with Federal Bank and drive leads & AUM.
• Service existing clients with the support of the client servicing team
• Adherence to all regulatory, statutory, and corporate compliance standards
Requirements
• 8+ years of experience in the Wealth Management space
• Must have completed an MBA from a premier business school.
• Should have a sound understanding of Wealth Management Products (MF, Bonds, PMS, AIFs, PE, etc.) & markets.
• English is mandatory and command of the local language would be beneficial.
• Ability to work in tandem with our channel partner and generate leads & business.
• Good communication and presentation skills
We are looking for a digital marketing intern eager to learn the ins and outs of marketing online, from strategy to execution. Interns will work with the digital and field marketing team to learn how marketing works across spaces and assist in the day to day digital marketing activities of INKPROG applications.
Responsibilities include:
- Create SEO strategies, techniques and tactics to improve the website's organic reach on all major search engines.
- Modify website architecture, content, linking and other factors to improve SEO positions for target keywords.
- Learn and execute SEM strategies and Internet marketing methods like pay per click advertising and paid directories.
- Monitor and mitigate website's performance with the help of analytics tools and digital measurement methods.
- Learn and implement social media campaigns (Facebook, Twitter, Instagram, etc.) and digital campaigns using Google AdWords.
- Work with graphics and content team for ads, creative and artwork for PPC campaigns.
- Generate and share content daily that builds meaningful connections.
- Setting up and optimizing company pages within each social media platform
- Continuously improve by capturing and analyzing the appropriate social data/ metrics, insights and best practices, and then acting on the information.
- Analyze Past Content to Improve Posts
- Optimize Visual Content
- Target Website Visitors with Social Ads
- Create a Social Media Channel Plan











