Solutions Architect

About Us

We are a fast-growing startup based in Pune, India, specializing in cutting-edge Data Science and Data Engineering solutions. Our team of dedicated professionals is committed to solving complex data challenges for companies worldwide.

Our Culture We foster a vibrant startup culture that values: • Intellectual curiosity • Continuous learning • Positive work environment • Collaborative problem-solving

Role Overview

We are seeking a versatile and proactive Data Scientist to join our dynamic team. The ideal candidate will possess a blend of technical expertise in modern AI/ML technologies, strategic planning, and effective communication skills. This role demands critical thinking, applying data science and problem-solving skills to a wide variety of real-world problems, adaptability to rapidly evolving technologies, and a strong foundation in both traditional and generative AI principles.

Key Responsibilities • Deliver end-to-end data science projects by applying Machine Learning and Deep Learning fundamentals to solve complex problems • Derive actionable insights for a variety of problems, industries, and domains using statistical analysis and advanced data science techniques • Develop high-quality software solutions with Python and other programming languages. Collaborate with developers to understand and improve existing code or create new solutions • Build and deploy production-ready LLM applications using modern frameworks and best practices • Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and embedding models • Perform prompt engineering and optimization to maximize LLM performance for specific use cases • Implement agentic AI systems and multi-agent workflows for complex automation tasks • Evaluate and benchmark LLM outputs using appropriate metrics and testing frameworks • Build sophisticated data pipelines for large-scale data processing using modern orchestration tools • Optimize database performance and create efficient SQL queries • Deploy and monitor ML models in production using MLOps practices and containerization • Practice active listening to understand project requirements and team inputs • Collaborate with clients to translate business requirements into data science solutions • Communicate complex ideas and results clearly to stakeholders through both verbal and written formats • Apply responsible AI principles and ensure ethical considerations in model development • Demonstrate punctuality and a strong sense of ownership in all tasks • Plan strategically and multitask efficiently to meet project deadlines • Employ critical thinking to break down problems and debug effectively • Take initiative and be biased towards action to drive project progress Required Skills Core Programming & ML • Strong Python programming skills with hands-on project experience • Expertise in Machine Learning and Deep Learning algorithms (Random Forests, GBMs, Neural Networks, CNNs, RNNs, Transformers, Ensemble methods) • Proficiency in TensorFlow or PyTorch, along with scikit-learn and pandas • Familiarity with modern ML techniques: Transfer Learning, Few-shot Learning, Self-supervised Learning • Experience with NLP, Computer Vision, or Time Series Analysis Generative AI & LLMs • Hands-on experience with LLM providers (OpenAI, Anthropic Claude, Google Gemini, or open-source models) • Proficiency with GenAI orchestration frameworks (LangChain, LangGraph, LlamaIndex, or DSPy) • Experience building RAG applications with vector databases (Pinecone, Weaviate, Chroma, FAISS) • Strong prompt engineering skills and understanding of prompt optimization techniques • Knowledge of fine-tuning techniques (LoRA, QLoRA) and when to apply them • Understanding of LLM evaluation metrics and benchmarking methodologies • Familiarity with agentic AI architectures and multi-agent systems MLOps & Deployment • Experience with MLOps practices and tools (MLflow, Kubeflow, Weights & Biases) • Proficiency with containerization using Docker and orchestration with Kubernetes • Experience with cloud platforms (AWS, Azure, or GCP) for ML model deployment and monitoring • Understanding of CI/CD pipelines for ML applications • Knowledge of model serving frameworks and API development (FastAPI, Flask, or Django) Data Engineering & Databases • Solid understanding of SQL, including advanced concepts like windowing functions and query optimization • Experience with data pipeline orchestration tools (Airflow, Prefect, or similar) • Familiarity with both SQL and NoSQL databases Soft Skills & Professional Attributes • Strong critical thinking and problem-solving skills • Excellent written and verbal communication abilities • Demonstrated ability to work well in a team and independently • High degree of flexibility and adaptability to rapidly evolving technologies • Understanding of AI safety principles and responsible AI practices

Nice-to-Have • Experience with big data technologies (Spark, Hadoop, Databricks) • Familiarity with BI tools and dashboard creation (Tableau, Power BI, Looker) • Knowledge of graph databases and knowledge graph construction • Experience with real-time streaming data processing • Active participation in data science competitions (Kaggle, DrivenData) • Contributions to open-source AI/ML projects or technical blog • Experience with multimodal AI models (vision-language models, audio processing) • Published research papers or conference presentations

Qualifications • Data Scientist I: 0-2 years of hands-on experience in Data Science projects • Data Scientist II: 2-5 years of hands-on experience in Data Science projects • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related technical field • Demonstrated commitment to continuous learning through courses, certifications, or self-study (especially in GenAI and modern ML techniques)

What We Offer • Competitive salary commensurate with experience • Opportunity to work on diverse, cutting-edge AI/ML projects • Collaborative and innovation-driven work environment • Rapid growth and continuous learning opportunities • Exposure to latest AI technologies and industry best practices

Link for application -  https://forms.gle/9GENVfPeXdtgi7Zj7

Job Title: QA Manual Engineer

Job Type: Full Time

Location: Indore

Summary/Objective:

We are seeking an experienced Automation QA (Quality Assurance) professional to join our team in Indore. As an Automation QA, you will be responsible for designing, developing, and executing automated test scripts to ensure the quality and reliability of our software products. You will work closely with the development team to identify areas for automation and implement efficient testing strategies.

Responsibilities/Duties:

1.     Design, develop, and maintain automated test scripts using Selenium WebDriver and other automation tools.

2.     Execute automated test suites to validate software functionality, performance, and reliability across different platforms and environments.

3.     Work closely with cross-functional teams to understand project requirements, identify test scenarios, and develop comprehensive test plans.

4.     Collaborate with developers to ensure that test cases are integrated into the continuous integration/continuous deployment (CI/CD) pipeline.

5.     Analyze test results and report defects in a clear and concise manner, providing detailed information to facilitate debugging and resolution.

6.     Participate in agile ceremonies such as sprint planning, daily stand-ups, and retrospectives to provide QA input and feedback.

7.     Continuously research and evaluate new testing tools, technologies, and methodologies to improve efficiency and effectiveness.

8.     Contribute to the development and maintenance of QA documentation, including test cases, test scripts, and test reports.

Qualifications/Requirements:

Education:

• Bachelor's degree in Computer Science, Engineering, or related field.

Experience:

• 2 to 3 years of experience in automation testing, preferably in a software development environment.
• Experience with automation testing tools such as Selenium, Appium, or similar.
• Strong understanding of software testing methodologies, tools, and processes.
• Experience with cloud-based testing environments (e.g., AWS, Azure).
• ISTQB or similar certification in software testing.

Skills:

• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills.

·        Excellent attention to detail and ability to work independently or as part of a team.

·        Ability to multitask and prioritize tasks in a fast-paced environment.

Company Overview:

OLOID is a leading provider of physical identity and access technology committed to enabling converged cyber and physical security for the modern workplace. Dedicated to ensuring secure and privacy-forward authentication, OLOID’s objective is to establish a framework that connects and manages workplace security by integrating with HR, IT, and various records systems, unifying cyber and physical identities across the organization.

Job Summary

We are seeking a highly skilled and experienced Senior Node.js Developer to join our development team. The ideal candidate will have a strong background in software engineering with a focus on JavaScript, Node.js, and modern web technologies. You will play a key role in building scalable backend services, integrating APIs, and contributing to full-stack development using frameworks like ReactJS.

Key Responsibilities

·         Design, develop, and maintain robust backend services using Node.js

·         Collaborate with front-end developers to integrate user-facing elements with server-side logic

·         Develop and consume RESTful APIs for various services

·         Write clean, maintainable, and secure code following best practices

·         Troubleshoot, debug, and optimize application performance

·         Implement authentication and authorization mechanisms where needed

·         Contribute to code reviews and technical discussions

·         Maintain and monitor applications on Linux-based environments

Required Qualifications

·         Bachelor’s or Master’s degree in Computer Science or a related field

·         Minimum 8 years of professional programming experience

·         At least 3 years of hands-on experience with Node.js development

·         Strong knowledge of JavaScript, particularly in browser-based frameworks such as ReactJS and Redux

·         Experience with Node.js frameworks such as Express or Hapi (preferred)

·         Solid understanding of asynchronous programming and its patterns

·         Skilled in troubleshooting and debugging complex applications

·         Familiarity with Linux environments

·         Proficiency in working with RESTful APIs and API integration

Penetration Testing Expert Requirements and Qualification:

Previous working experience as a Penetration Testing Expert for 5 - 7 year

BE in Computer Information Systems, Management Information Systems, or similar relevant field

In-depth knowledge of application development processes and at least one programing or scripting language (e.g., Java, Scala, C#, Ruby, Perl, Python, PowerShell)

Must know about standard Industry security Practices (OWASP, SANS, etc), Knowledgeable about industry Security guidelines and compliance such as ISO27001, SOC2, HIPPA etc.

Hands on experience with testing frameworks such as the PTES and OWASP.

Applicable knowledge of Windows client/server, Unix/Linux systems, Mac OS X, VMware/Xen, and cloud technologies such as AWS, Azure, or Google Cloud

Critical thinker and problem solver

Excellent organizational and time management skills

Penetration Tester Role:

The Penetration Tester, will provide broad and in depth knowledge to conduct offensive cyber operations across the organization globally. In this role, you will conduct offensive security operations to emulate adversary tactics and procedures to test preventative, detective and response controls across the global technology landscape. You will use your expertise to help influence technology decisions and work as part of a team to create consistent approaches to the offensive security processes and techniques.

Penetration Testing Duties and Responsibilities:

Operate a hands-on role involving penetration testing and vulnerability assessment activities of complex applications, operating systems, wired, wireless networks, and mobile applications/devices, Cloud (Azure, AWS, Google Etc) apps and software’s.

Set up environment and maintain required tools needed for the team.

Lead and manage Penetration Testing team and Supporting vendors to get qualitative deliveries to our customer.

Develop and maintain security testing plans

Able to automate penetration and other security testing on networks, systems and applications.

Develop meaningful metrics to reflect the true posture of the environment allowing the organization to make educated decisions based on risk.

Produce actionable, threat-based, reports on security testing results

Act as a source of direction, training, and guidance for less experienced staff

Consult with application developers, systems administrators, and management to demonstrate security testing results, explain the threat presented by the results, and consult on remediation

Communicate security issues to a wide variety of internal and external “customers” to include technical teams, executives, risk groups, vendors and regulators

Deliver the annual penetration testing schedule and conducting awareness campaigns to ensure proper budgeting by business lines for annual tests.

Foster and maintain relationships with key stakeholders and business partners

Certificates:

Must Have

Offensive Security Certified Professional (OSCP)

Good to have

CREST Registered Penetration Tester (CRT)

Certified Ethical Hacker (CEH) Certification

GIAC Certified Penetration Tester (GPEN)

We are looking for a highly capable Node.js developer to optimize our web-based application performance. You will be collaborating with our front-end application developers, designing back-end components, and integrating data storage and protection solutions.

To ensure success as a Node.js developer, you should possess extensive knowledge of Node.Js-based services and experience in a similar role. An accomplished Node.js developer will be someone whose expertise results in the stable, fast, and secure exchange of data between servers and end-users.

Node.js Developer Responsibilities:

• Developing and maintaining all server-side network components.
• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Collaborating with front-end developers on the integration of elements.
• Designing customer-facing UI and back-end services for various business processes.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Documenting Node.js processes, including database schemas, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.

Node.js Developer Requirements:

• At least two years' experience as a Node.js developer.
• Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
• Knowledge of front-end technologies such as HTML5 and CSS3.
• Superb interpersonal, communication, and collaboration skills.
• Exceptional analytical and problem-solving aptitude.
• Great organizational and time management skills.
• Availability to resolve urgent web application issues outside of business hours.

Position Overview:

Customer success managers supports your customers as they transition from sales prospects to active users of your products.

Theyre focused on customer loyalty and building close long-term client relationships, and often

stay with the same customers as long as they continue to work with your business.

Designation: Customer Success Manager

Reporting to: Director

Roles and Responsibilities

• Customer Success Manager will proactively reach out to customers to understand the

requirements, and resolve issues.

• Proactively reach out to the newly onboarded customers to understand their needs.

• Develop and manage client portfolios.

• Follow-ups with unresponsive customers to help activation/retention of customers.

• Minimize customer churn.

• Sustain business growth and profitability by maximizing value.

• Mediate between clients and the organization

• Strictly adhere to the Activation & Retention SOP.

• Handling existing customers & providing post-sales support.

• Taking care of customer onboarding & service activation.

• Improve onboarding processes.

• Providing training on software to customers.

• Maintaining a healthy relationship with customers.

• Resolving customer complaints quickly and efficiently.

• Analyze customer data to improve customer experience.

• Hold product demonstrations for customers.

Qualifications:

• Prior experience as a Customer Success Manager with IT Services domain

• Good Communication, Analytical Skills

• Excellent Customer Handling.

• Ability to handle team.

• Research and properly evaluate sources of information to determine possible limitations in reliability or usability
• Apply sampling techniques to effectively determine and define ideal categories to be questioned
• Compare and analyze provided statistical information to identify patterns, relationships and problems
• Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering
• Prepare detailed reports for management and other departments by analyzing and interpreting data
• Train assistants and other members of the team how to properly organize findings and read data collected
• Design computer code using various languages to improve and update software and applications
• Refer to previous instances and findings to determine the ideal method for gathering data