Sales Operations Manager

Skills

·      Proven experience as a Technology Lead or Senior Developer with strong hands-on expertise in Java Spring Boot, Tomcat, MySQL, RESTful and SOAP APIs, ORM frameworks, Redis, JavaScript, and AngularJS/ReactJS.

·      Solid understanding of application architecture, security principles, design patterns, and industry best practices.

·      Demonstrated capability to lead and mentor development teams through the design, development, testing, and deployment of web applications using Java Spring Boot and related technologies.

·      Excellent problem-solving and analytical skills, with a strong ability to troubleshoot, diagnose, and resolve technical issues to ensure application stability and performance.

Responsibilities

·      Design and implement high-level and low-level architectures for complex software systems.

·      Collaborate closely with cross-functional teams and Business Analysts to understand business needs and translate them into effective technical solutions.

·      Enforce software development best practices, including code reviews, performance optimizations, and quality assurance standards.

·      Lead and manage a team of developers, providing technical guidance and ensuring timely delivery of high-quality solutions.

We’re partnering with a fast-growing AI-first enterprise transforming how organizations handle documents, decisioning, and workflows — starting with BFSI and healthcare. Their platforms are redefining document intelligence, credit analysis, and underwriting automation using cutting-edge AI and human-in-the-loop systems.

As an AI Engineer, you’ll work with a high-caliber engineering team building next-gen AI systems that:

• Power robust APIs and platforms used by underwriters, analysts, and financial institutions.
• Build and integrate GenAI-powered agents.
• Enable “human-in-the-loop” workflows for high-assurance decisions in real-world conditions.

Key Responsibilities

• Build and optimize ML/DL models for document understanding, classification, and summarization.
• Apply LLMs and RAG techniques for validation, search, and question-answering tasks.
• Design and maintain data pipelines for structured and unstructured inputs (PDFs, OCR text, JSON, etc.).
• Package and deploy models as REST APIs or microservices in production environments.
• Collaborate with engineering teams to integrate models into existing products and workflows.
• Monitor, retrain, and fine-tune models to ensure reliability and performance.
• Stay updated on emerging AI frameworks, architectures, and open-source tools; propose system improvements.

Required Skills & Experience

• 2–5 years of hands-on experience in AI/ML model development, fine-tuning, and deployment.
• Strong Python proficiency (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow).
• Solid understanding of transformers, embeddings, and NLP pipelines.
• Experience with LLMs (OpenAI, Claude, Gemini, etc.) and frameworks like LangChain.
• Exposure to OCR, document parsing, and unstructured text analytics.
• Familiarity with FastAPI/Flask, Docker, and cloud environments (AWS/GCP/Azure).
• Working knowledge of CI/CD pipelines, model validation, and evaluation workflows.
• Strong problem-solving skills, structured thinking, and production-quality coding practices.

Bonus Skills

• Domain exposure to Fintech/BFSI or Healthcare (e.g., credit underwriting, claims automation, KYC).
• Experience with vector databases (FAISS, Pinecone, Weaviate) and semantic search.
• Knowledge of MLOps tools (MLflow, Airflow, Kubeflow).
• Experience integrating GenAI into SaaS or enterprise products.

Education

• B.Tech / M.Tech / MS in Computer Science, Data Science, or related field.
• (Equivalent hands-on experience will also be considered.)

Why Join

• Build AI systems from prototype to production for live enterprise use.
• Work with a senior AI and product team that values ownership, innovation, and impact.
• Exposure to LLMs, GenAI, and Document AI in large-scale enterprise environments.
• Competitive compensation, career growth, and a flexible work culture.

We are seeking an experienced Content Writer with 3-5 years of experience to join our marketing team. The ideal candidate will be responsible for creating compelling and informative long-form articles that will be used in our marketing campaigns for a B2B payment platform. The content writer will work closely with the marketing team to create engaging and high-quality content that targets our target audience.

Responsibilities:

• Write high-quality, long-form articles for our B2B fintech payment platform that will be used inmarketing campaigns
• Conduct research on relevant topics and stay up-to-date with industry news and trends
• Collaborate with the marketing team to ensure all content is aligned with our brand
• messaging and target audience
• Write clear, concise, and engaging content that conveys complex ideas in a simplified
• manner
• Optimize content for SEO and ensure all articles are formatted properly
• Edit and proofread all content before publication
• Ensure all content is delivered on time and meets our high-quality standards
• Requirements:
• Bachelor's degree in English, Journalism, Communications, or related field
• 3-5 years of experience as a Technical Finance Content Writer, from a B2B fintech platform
• Exceptional writing and editing skills, with a keen eye for detail
• Experience with SEO optimization and content formatting
• Strong research skills and ability to synthesize information from multiple sources
• Ability to work independently and manage multiple projects simultaneously
• Excellent communication skills and ability to collaborate with cross-functional teams
• Strong work ethic and commitment to meeting deadlines

●  Should have strong experience in Automation testing, developing and executing test cases. 

● Should have strong experience in Selenium with Java & Cucumber framework.

● Should have a good amount of experience working with Mobile Application testing using Appium 

● Experienced with few of the Automation Testing tools : Selenium, Cucumber, TestNG, SOAP UI/Rest API, Appium. 

● Good knowledge of software testing life cycle :Test planning, Test design and execution, Defect Management, Test Reporting. 

● Hands-on experience on Functional, Regression, System and UAT Testing.

● Good exposure with both Web and Mobile Automation Testing.

● Excellent defect finding, debugging, root cause analysis capabilities. 

Skills Required:

- Good experience with programming language Python
- Strong experience in Docker.
- Good knowledge with any of the Cloud Platform like Azure.
- Must be comfortable working in a Linux environment.
- Must have exposure into IOT domain and its protocols ((Zigbee & BLE ,LoRa,Modbus)
- Must be a good team player.
- Strong Communication Skills

Job Summary:

We are seeking 3D Modelling Interns to join our asset production team. The successful candidates will work closely with our asset production team to create 3D models of retail products. The ideal candidate should have a strong background in 3D modelling software, a keen eye for detail, and the ability to work independently.

Key Responsibilities:

• Collaborate with production team members to create accurate 3D models of retail products.
• Use 3D modelling software, preferably Blender 3D to create, modify, and refine 3D models.
• Ensure that the 3D models are accurate, detailed, and realistic.
• Test and evaluate 3D models to ensure they meet design and asset production requirements
• Work as part of a production team to ensure that projects are completed on time.
• Communicate progress and issues effectively with the asset production teams.
• Participate in reviews and provide feedback to improve the asset production process.
• Continuously learn and improve 3D modelling skills and techniques.

Requirements:

• Currently enrolled in a degree / certificate program in a relevant field such as Industrial Design, Product Design, or 3D Modelling.
• Strong knowledge of 3D modelling in Blender or similar modelling software. If not proficient in Blender, training will be provided.
• UV mapping and texturing skills are highly desirable.
• Knowledge of PBR texture workflow is preferred but not required.
• Excellent attention to detail and ability to work independently and as part of a team.
• Strong communication and interpersonal skills.
• Ability to meet tight deadlines.

These internships are paid and are a great opportunity for anyone looking to gain hands-on experience in working on the future of retail product visualisation in various industries. The successful candidates will work with a team of experienced professionals, and gain valuable insights into the asset production process.

• Leverage native APIs for deep integrations
• Solving any challenges that might appear on the way
• Diagnose and fix bugs and performance bottlenecks for performance that feels native
• Maintain code and write automated tests of quality that sets the benchmark for your future colleagues

• 2+ years of relevant industry experience in React Native
• A deep understanding of JavaScript
• Familiarity with video recording, playback, and uploading libraries
• Experience with Native Android app deployment
• Familiarity with modern front-end build pipelines and tools
• Familiarity with Socket.io is a plus
• Familiarity with RESTful APIs
• Strong UX/UI design exposure and experience in making apps work intuitively and with pixel perfect interface
• Highly accountable and takes ownership, with a collaborative attitude, and a lifelong learner
• Familiarity with code versioning tools (such as Git)

High Level Scope of Work :

• Work with AI / Analytics team to priorities MACHINE LEARNING Identified USE CASES for Development and Rollout
• Meet and understand current retail / Marketing Requirements and how AI/ML solution will address and automate the decision process.
• Develop AI/ML Programs using DATAIKU Solution & Python or open source tech with focus to deliver high Quality and accurate ML prediction Model
• Gather additional and external data sources to support the AI/ML Model as desired .
• Support the ML Model and FINE TUNEit to ensure high accuracy all the time.
• Example of use cases (Customer Segmentation , Product Recommendation, Price Optimization, Retail Customer Personalization Offers, Next Best Location for Business Est, CCTV Computer Vision, NLP and Voice Recognition Solutions)

Required technology expertise :

• Deep Knowledge & Understanding on MACHINE LEARNING ALGORITHMS (Supervised / Unsupervised Learning / Deep Learning Models)
• Hands on EXP for at least 5+ years with PYTHON and R STATISTICS PROGRAMMING Languages
• Strong Database Development knowledge using SQL and PL/SQL
• Must have EXP using Commercial Data Science Solution particularly DATAIKU and (Altryx, SAS, Azure ML, Google ML, Oracle ML is a plus)
• Strong hands on EXP with BIG DATA Solution Architecture and Optimization for AI/ML Workload.
• Data Analytics and BI Tools Hand on EXP particularly (Oracle OBIEE and Power BI)
• Have implemented and Developed at least 3 successful AI/ML Projects with tangible Business Outcomes In retail Focused Industry
• Have at least 5+ Years EXP in Retail Industry and Customer Focus Business.
• Ability to communicate with Business Owner & stakeholders to understand their current issues and provide MACHINE LEARNING Solution accordingly.

Qualifications

• Bachelor Degree or Master Degree in Data Science, Artificial Intelligent, Computer Science
• Certified as DATA SCIENTIST or MACHINE LEARNING Expert.