Senior QA Engineer

Key Responsibilities:

• Develop and deploy machine learning, deep learning, and NLP models for various business use cases.
• Build end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and production deployment.
• Optimize model performance and ensure scalability in production environments.
• Work closely with data scientists, product teams, and engineers to translate business requirements into AI solutions.
• Conduct data analysis to identify trends and insights.
• Implement MLOps practices for versioning, monitoring, and automating ML workflows.
• Research and evaluate new AI/ML techniques, tools, and frameworks.
• Document system architecture, model design, and development processes.

Required Skills:

• Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
• Hands-on experience in building and deploying, finetuning ML/DL models in production.
• Good understanding of machine learning algorithms, neural networks, NLP, and computer vision.
• Experience with REST APIs, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Working knowledge of MLOps tools such as MLflow, Airflow, DVC, or Kubeflow.
• Familiarity with data pipelines and big data technologies (Spark, Hadoop) is a plus.
• Strong analytical skills and ability to work with large datasets.
• Excellent communication and problem-solving abilities.
• Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc.).
• Experience in LLM fine-tuning or Generative AI, Voice AI, is an added advantage.

Educational Qualification:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, IT, from IIT/NIT colleges strongly preferred

We are seeking a Delivery-Driven ERP Project Manager to lead and ensure the successful

implementation of ERP solutions across multiple client engagements. The role requires strong expertise in business requirement analysis, ERP implementation life-cycle, sprint planning, and delivery governance to ensure projects are delivered on time, within scope, and aligned with business objectives.

The candidate will act as the single point of accountability between clients, functional

consultants, and development teams.

Key Responsibilities

1. Requirement Structuring & BRD Governance

• Lead detailed requirement discovery workshops with clients
• Convert BRD into structured functional specifications
• Break requirements into clear development tasks and sprint deliverables
• Ensure business expectations are clearly aligned with ERP capabilities.

2. Delivery Planning & Timeline Enforcement

• Create project roadmaps, sprint plans, and milestone schedules
• Ensure development teams adhere to weekly delivery targets
• Track progress through task boards, sprint reviews, and delivery dashboards
• Escalate delays proactively and drive corrective actions.

3. Developer Coordination & Productivity Monitoring

• Assign tasks to developers based on module expertise
• Monitor development progress and ensure coding tasks match functional scope
• Identify bottlenecks, technical blockers, or misalignment early
• Ensure proper documentation of modules, configurations, and customisation.

4. Client Communication & Expectation Management

• Act as primary project interface with clients
• Provide weekly progress updates and milestone reports
• Manage change requests and prevent uncontrolled scope expansion
• Maintain alignment between client expectations and delivery timelines.

5. Testing & Quality Assurance

• Coordinate User Acceptance Testing (UAT)
• Ensure issues raised during UAT are tracked and resolved systematically
• Validate functional correctness before deployment.

6. Deployment & Go-Live Management

• Plan production deployments, data migration, and go-live support
• Ensure smooth transition from implementation to support
• Maintain post-go-live stabilisation plans.

Required Skills

• ERP Implementation
• Strong experience in ERP implementations (Odoo preferred)
• Understanding of business processes across:
• Sales
• Inventory
• Manufacturing
• Finance
• CRM
• Project Delivery
• Sprint planning and milestone tracking
• Risk management
• Resource planning
• Client stakeholder management

Tools Experience with:

• Jira / ClickUp / Asana / Odoo Project
• ERP configuration workflows
• Agile / hybrid delivery models

Ideal Candidate Profile

• Experience managing multiple ERP implementation projects simultaneously
• Ability to control developers, timelines, and scope
• Strong analytical thinking and problem-solving
• Ability to work in a fast-paced implementation environment
• Success Metrics for the Role
• The candidate will be measured based on:
• On-time delivery of ERP milestones
• Reduction in project delays
• Client satisfaction scores
• Quality of documentation and task clarity
• Efficient coordination between business and development teams

We're a small, high-output product and technology consultancy based in London, building AI-powered platforms for the construction and real estate industry.

We need a sharp QA engineer who genuinely cares about product quality - not someone who just runs scripts, but someone who thinks like a user and breaks things creatively.

What you'll do

Own end-to-end quality across multiple web platforms in active development

Build and maintain automated test suites using Playwright, including integration with Playwright MCP Server for AI-assisted testing workflows

Design test strategies for new features - working directly with developers, not through layers of management

Perform exploratory and regression testing alongside automation

Communicate findings clearly and concisely in written English - you'll be working directly with a UK-based team

What we're looking for

3–6 years of hands-on QA experience, with a genuine track record in product environments (not just outsourcing/services)

Strong experience with Playwright (test authoring, CI integration, trace debugging)

Familiarity with Playwright MCP Server or eagerness to work with AI-augmented testing tools

Exposure to other testing frameworks (Cypress, Selenium, Postman/Newman) is a plus

Comfortable with API testing, browser dev tools, and reading application logs

Solid written and verbal English — you'll participate in daily async standups and weekly video calls

Willingness to overlap with UK hours for at least 4–5 hours daily (roughly 1:30 PM – 6:30 PM IST)

Experience or genuine interest in product-led environments — we want someone who flags UX issues, not just functional bugs

What we offer

Exposure to AI, MCP integrations, and modern dev tooling with Claude Max subscription

Possibility of longer-term engagement with room to grow the role

Flexible hours outside the overlap window

One paid day off per month

Digital Marketing & Brand Management Trainer (Freelance)

We are seeking a highly motivated and experienced Freelance Digital Marketing & Brand Management Trainer to deliver industry-relevant training programs for students. The ideal candidate should possess strong expertise in digital marketing, branding, and marketing strategy, along with excellent communication and training skills.

Key Responsibilities:

• Deliver comprehensive training on Digital Marketing and Brand Management concepts.
• Facilitate sessions on SEO, SEM, Social Media Marketing, Content Marketing, Email Marketing, Google Ads, and Google Analytics.
• Conduct practical workshops, assignments, case studies, and assessments.
• Mentor students and provide guidance on industry best practices and emerging marketing trends.
• Develop and maintain training materials to ensure high-quality learning outcomes.
• Evaluate student performance and provide timely feedback.

Required Skills:

• Digital Marketing
• Brand Management
• SEO & SEM
• Social Media Marketing
• Content Marketing
• Google Ads
• Google Analytics
• Performance Marketing
• Marketing Strategy
• Strong Presentation and Communication Skills

Employment Type:

Freelance

Language Requirements:

• Malayalam – Mandatory
• English – Preferred

Key Factors:

1. Proven experience in sales and business development, preferably within the education sector, specifically in selling admission management solutions to CBSE, ICSE, IGCSE, IB, and boarding schools.
2. Strong understanding of the admission processes and challenges faced by educational institutions.
3. Excellent communication and presentation skills, with the ability to effectively engage with school stakeholders at all levels.
4. The proactive and results-driven mindset with a track record of meeting or exceeding sales targets.
5. Ability to build and nurture long-term relationships with customers.
6. Strong negotiation and closing skills, with attention to detail in contract and agreement management.
7. Exceptional organizational and time management skills, with the ability to prioritize tasks effectively.
8. Willingness to travel within the assigned territory as required.
9. Bachelor's or Master’s degree in business, marketing, education, or a related field is preferred.

Roles and Responsibilities

• Utilize LinkedIn to identify and establish relationships with potential clients by conducting research and outreach activities.

• Develop a compelling company profile and deliver it to prospective clients in an engaging manner to generate interest and foster meaningful connections.

• Facilitate virtual meetings between clients and the manager to promote effective communication.

• Coordinate in-person meetings with clients as necessary to foster a stronger relationship and facilitate successful collaboration.

• Consistently follow up with clients to increase the likelihood of conversion and ensure their satisfaction with the company's products or services.

• Cultivate meaningful relationships with potential clients through effective communication and engagement.

• Establish ongoing communication with current clients to maintain strong relationships and ensure their continued satisfaction with the company's offerings.

Skills Required

• The ability to effectively communicate and persuade potential clients to purchase the company's products or services.

• Building strong relationships with clients and maintaining regular communication to retain their business.

• Negotiate and close deals effectively with clients and other stakeholders.

• Demonstrate strong active listening skills to gain a deep understanding of client’s needs, challenges, and goals, and develop customized solutions.

• Collaborate with colleagues in other departments to align sales efforts with the company's overall strategy and objectives.

• Employ strategic thinking to design and implement sales plans that are aligned with the company's goals and achieve business objectives in a competitive marketplace.

Data Scientist is responsible to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products. Your primary focus will be in applying Machine Learning and Generative AI techniques for data mining and statistical analysis, Text analytics using NLP/LLM and building high quality prediction systems integrated with our products. The ideal candidate should have a prior background in Generative AI, NLP (Natural Language Processing), and Computer Vision techniques. Additionally, experience in working with current state of the art Large Language Models (LLMs), and Computer Vision algorithms.

Job Responsibilities:

»    Building models using best in AI/ML technology.

»    Leveraging your expertise in Generative AI, Computer Vision, Python, Machine Learning, and Data Science to develop cutting-edge solutions for our products.

»    Integrating NLP techniques, and utilizing LLM's in our products.

»    Training/fine tuning models with new/modified training dataset.

»    Selecting features, building and optimizing classifiers using machine learning techniques.

»    Conducting data analysis, curation, preprocessing, modelling, and post-processing to drive data-driven decision-making.

»    Enhancing data collection procedures to include information that is relevant for building analytic systems

»    Working understanding of cloud platforms (AWS).

»    Collaborating with cross-functional teams to design and implement advanced AI models and algorithms.

»    Involving in R&D activities to explore the latest advancements in AI technologies, frameworks, and tools.

»    Documenting project requirements, methodologies, and outcomes for stakeholders.

Technical skills

Mandatory

»    Minimum of 5 years  of experience as Machine Learning Researcher or Data Scientist.

»    Master's degree or Ph.D. (preferable) in Computer Science, Data Science, or a related field.

»    Should have knowledge and experience in working with Deep Learning projects using CNN, Transformers, Encoder and decoder architectures.

»    Working experience with LLM's (Large Language Models) and their applications (For e.g., tuning embedding models, data curation, prompt engineering, LoRA, etc.).

»    Familiarity with LLM Agents and related frameworks.

»    Good programming skills in Python and experience with relevant libraries and frameworks (e.g., PyTorch, and TensorFlow).

»    Good applied statistics skills, such as distributions, statistical testing, regression, etc.

»    Excellent understanding of machine learning and computer vision based techniques and algorithms.

»    Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.

»    Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.

Nice to have

»    Exposure to financial research domain

»    Experience with JIRA, Confluence

»    Understanding of scrum and Agile methodologies

»    Basic understanding of NoSQL databases, such as MongoDB, Cassandra

Experience with data visualization tools, such as Grafana, GGplot, etc.

We are looking "Mulesoft Developer(Fresher)" for Reputed Client @ Coimbatore Permanent Role.

Responsibilities:

• Work on projects as development team members Requirements

• Education background should be on Computer domain

• Freshers ready to work on development on Mulesoft.

• Mulesoft Course or certification done

• Good communication skills

Twist Open UX provides consulting services in the areas of design and innovation. 

We are expanding our design team to keep pace with several exciting opportunities that are coming to us. We are on the lookout for UX designers, available to work at our studio in Bangalore. Candidates would require strong problem solving skills and independent self-direction. They would be required to work effectively in a team and handle client communication.

QUALITIES WE VALUE

Empathy for users who are different from you.

Executing UX design and visual design as a part of a multi-disciplinary team.

Collaborating on user experience planning.

Communicating with clients.

Researching interaction design trends.

Researching technology trends.

ROLE REQUIREMENTS

Two or more years of user experience design experience for software, web applications and/or mobile devices.

Strong conceptualisation ability, drawing skills and paper prototyping technique.

Cognisant of production timelines and having attention to detail.

Ability to create task flows, high fidelity wireframes, micro interactions as well as visual design.

Strong working knowledge of Figma, Sketch, Axure and associated UX design tools.

Experience with user interface design patterns and standard UX practices and heuristics.

Strong written and verbal communication skills.

ADDITIONAL

Bachelor’s or Master’s degree in interaction design, new media design or related design field.

Portfolio to accompany resume.

Background check and reference checks required upon hire.

• Implementing various development, testing, automation tools, and IT infrastructure

• Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage

• Incidence management and root cause analysis

• Selecting and deploying appropriate CI/CD tools

• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)

• Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management