ServiceNow Developer

Role Objective:

 To provide essential support to the Façade Design team by assisting in the preparation of technical drawings and project documentation. The primary purpose of this role is to

develop foundational skills in façade design and contribute to the successful delivery of project

components under direct supervision.

Key Responsibilities & Accountabilities:

 Drawing & Documentation Support:

o Assist in the preparation of initial drafts for façade drawings and technical

documents as directed by senior team members.

o Make revisions to drawings and specifications based on feedback from the design

team.

Technical Learning & Application:

o Actively learn and apply company standards, project specifications, and fundamental

engineering principles.

o Gain a working knowledge of local building codes and various façade materials.

 Team Collaboration:

o Support the design team in day-to-day project tasks.

o Maintain and organize design files, records, and project correspondence to ensure

information is accurate and accessible.

Quality Adherence:

 Assist in basic quality checks of drawings to ensure they meet required standards

before formal review.

Mandatory Candidate Profile:

 Education: A Bachelor’s degree/Diploma in (Civil /Mechanical) Engineering or Architecture is

required.

Experience: 0-2 years of experience.

Recent graduates with a strong academic record and a

demonstrated interest in structural or façade design are encouraged to apply.

 Technical Knowledge: Basic proficiency in CAD software (e.g., AutoCAD) is mandatory. The

candidate must possess a strong willingness to learn advanced design tools.

Reporting Structure:

 The position reports directly to the Facade Designer or a Senior Facade Designer.

TECHNICAL Project Manager             

GormalOne LLP. Mumbai IN

GormalOne is on a mission to make dairy farming highly profitable, especially for the smallest farmers living in the most neglected geographies. We are a dairy-focused technology solution provider with a vision to resolve the pain points of everyone in the dairy ecosystem. We are building a comprehensive platform for cattle management where farmers to AITs (Artificial Insemination technicians), para vets, veterinarians, consultants, and corporates can collaborate and benefit each other using data. Nitara offers an easy-to-use artificial intelligence-enabled herd management system for farmers/veterinary/paraprofessionals/AITs.

We are looking for a Project manager who will be instrumental in the planning and management of both IT and IT-related projects. As a Technical Project Manager, you are required to have a high level of technical expertise as well as organization, leadership, and communication skills.

Responsibilities

• Responsible for project planning and delivery. Ensure scope for all the projects are delivered to meet the business need as per the agreed schedule, scope, quality, and cost. Lead project planning effort in the creation of project plans, tasks, and schedules
• Conduct high level scoping, impact and risk assessment, schedule, and resource requirements for the successful delivery of the projects to the agreed scope.
• Organize and facilitate regular project scrum to track project tasks and dependency.
• Identify, assess, track and mitigate issues and risks at multiple levels
• Work closely with various teams internally & the user side to ensure delivery of solutions and deployment as per requirement.
• Drive effective teamwork, communication, collaboration, overcome obstacles, resolve conflicts, and commitment across multiple disparate groups with competing priorities.
• Responsible for the overall health of the projects by monitoring schedule, budget, milestones, and benefits attainment, project risk control, and project governance.
• Ensure that realistic project plans are prepared and maintained & all activities are tracked against the plan, providing regular and accurate reports to Management.
• Responsible for change control, gaining agreement for CRs to the projects from the product owner and other relevant stakeholders.
• Provide weekly / regular project updates to the Program Management Office.
• Work towards continual improvement by implementing corrective action plans based on performance analysis, lessons learned, project archives, etc.
• Hiring, training, and developing new employees to meet organizational needs
• Reviewing employee performance evaluations and providing feedback on areas for improvement.

Certifications Required

• Project Management Professional (PMP) or Prince 2 foundation/practitioner.
• Certified Scrum Master (CSM)

Skills and Capabilities

Essentials

• Min 3-5 years of technical project management experience with overall 5-10 years of IT services experience.
• Excellent project management skills to develop a business case and deliver solutions to the user with oversight of technical solution implementation.
• Proven experience in managing projects using agile methodologies such as agile scrum. Good knowledge of tools like Jira, Azure DevOps, MS Projects, Confluence, etc.
• Experience in managing projects in a variety of technologies (e.g. Java, .Net, etc.)
• A high degree of technical competency in software development practices, project management, and the ability to bridge the gap between technology and business needs.
• Strong analytical and quantitative skills in order to gather insights from data to identify underlying issues
• Ability to thrive in a fast-paced, Scrum/Agile development environment with the ability to multi-task and respond flexibly to change
• Deal well with ambiguity and changing deadlines while keeping the focus on delivering results.
• Strong and effective project leader who can prioritize well and communicate effectively.
• Comfortable in getting hands dirty in day-to-day tasks to get things done
• Experienced self-starter with a problem-solving focus, an analytical mindset, and extreme attention to detail.
• Experience in handling different phases of the project's life cycle from requirement gathering until steady-state handover.
• Proficient in written and spoken English in a business setting.

Soft Skills required:

• Strong analytical skills
• Strong written documentation skills
• Strong presentation skills
• Good communication skills and able to communicate at all levels
• Ability to work well in a diverse environment and proven ability to influence others to achieve positive outcomes

Kindly note: Salary shall be commensurate with qualifications and experience

Visit us at - https://gormalone.com/">https://gormalone.com/  &  https://www.nitara.co.in/">https://www.nitara.co.in/

Job Title: Test Automation Engineer Location: Bangalore Experience: 6+ years Immediate Joiners are Preferred. We're building systems where correctness, performance, and reliability are non-negotiable. We need an engineer who treats testing as a first-class discipline - not a checklist activity. About the role: ● This is not a test-case writing role. You'll own the entire approach to testing — architecture, tooling, and outcomes. ● You'll work across backend-heavy, distributed systems where failures are nuanced and the stakes are real. ● You'll have direct access to leadership, no layers, and genuine influence over engineering quality standards. What we're looking for: ● Ownership mindset.You own outcomes, not just test cases. You identify gaps without being asked. ● Engineering depth.You design test systems, not just scripts. You think in architectures. ● Systems intuition.You understand how distributed systems fail at scale — not just on the happy path. ● Observability fluency.You're comfortable with logs, metrics, and tracing to debug failures in production-like environments. ● Self-direction.You figure things out and move. You don't wait for instructions. ● AI-augmented workflow.You use AI tools intelligently to accelerate your work — not as a substitute for thinking What you'll work on: ● End-to-end test automation for backend-heavy, distributed systems ● Building test frameworks for APIs, microservices, and event-driven architectures ● Load testing, failure scenario simulation, and edge-case validation ● Deep CI/CD pipeline integration — testing as a continuous engineering activity ● Kernel, firmware, and hardware-level validation(advantageous, not required) Tech Stack & Expectations: ● Languages: Python / Go (or strong scripting expertise) ● Frameworks: PyTest, custom frameworks, or similar ● Infrastructure: Docker, Kubernetes ● Systems: Distributed systems, APIs, async/event-driven architectures ● Databases: PostgreSQL, Redis ● Messaging: Kafka, NATS, RabbitMQ ● Observability: Logging, metrics, tracing ● Bonus: Experience with kernel-level or firmware-level testing What you will get: ● Full ownership over how testing is designed and implemented — your decisions stick ● Hard, interesting problems on systems where quality genuinely matters ● Direct access to leadership with no bureaucratic layers ● Early-stage influence — your work defines engineering quality standards here ● Compensation calibrated to your level of expertise 

At Fieldproxy, we’re building the next generation of AI-powered field service management solutions - software built with AI, assisted by humans with deep domain expertise. Our platform helps companies streamline operations, from scheduling and routing to customer engagement, by combining customizable templates with AI-driven automation.

We’re looking for an AI Product Specialist who can bridge the gap between our customers’ unique business needs and our AI-first platform capabilities.

Role Overview

As an AI Product Specialist, you will work closely with clients to understand their workflows, identify their requirements, and configure our platform to deliver tailored solutions. You’ll leverage existing LLM models, fine-tune them where needed, and ensure successful deployment of AI-powered features across client applications.

This is a highly cross-functional role, requiring strong communication skills, technical knowledge of AI/LLMs, and a customer-first mindset.

Key Responsibilities:

• Collaborate with clients to gather and analyze requirements for AI-driven field service solutions.
• Configure and customize the Fieldproxy platform using AI templates and builder tools.
• Work with large language models (LLMs) to fine-tune outputs and align them with client-specific needs.
• Partner with engineering and product teams to scope technical feasibility and drive implementation.
• Serve as a trusted advisor to clients, explaining AI capabilities in simple, actionable terms.
• Continuously test, validate, and improve AI workflows to ensure high-quality performance.
• Document configurations, best practices, and client solutions for scalability.

Requirements

• Hands-on experience with large language models (OpenAI, Anthropic, etc.) and fine-tuning approaches.
• Familiarity with prompt engineering, embeddings, and APIs.
• Strong problem-solving skills with the ability to translate customer requirements into technical solutions.
• Excellent communication and presentation abilities to engage both technical and non-technical stakeholders.
• Comfort working in fast-paced, startup-like environments.

Nice-to-Have

• Exposure to workflow automation platforms (Zapier, n8n, Make, etc.).
• Knowledge of databases (PostgreSQL preferred).
• Basic programming/scripting skills (Python, JavaScript)

What We Offer

• Opportunity to shape the future of AI in field service management.
• Work directly with cutting-edge LLM technologies and real-world enterprise use cases.
• A collaborative team of builders passionate about AI and customer success.
• Competitive compensation and growth opportunities in a rapidly scaling company

Position Overview:

The AI Tech Lead will architect and guide the implementation of real-time AI systems across voice automation, LLM pipelines, and knowledge-enhanced applications. The role requires strong architectural judgment, hands-on expertise in AI/LLM systems, and the ability to define high-performance, scalable best practices.

Key Responsibilities:

• Architect and guide implementation of real-time AI systems across voice automation, LLM pipelines, and knowledge-enhanced applications

• Design and develop distributed, provider-agnostic AI architectures with performance guarantees including low latency, resilient failover, distributed scaling, and cost-efficiency

• Define architectural best practices for GenAI systems including prompt design, context shaping, fallback logic, caching, and real-time agent orchestration

• Lead AI model governance including evaluation and selection frameworks for multiple LLM providers, routing logic, benchmarking, and cost management

• Establish and monitor KPIs for LLM quality, latency, reliability, grounding accuracy, and system stability

• Ensure data security practices for handling of voice and transcript data, applying PII-safe methods, and supporting multi-tenant data isolation

• Own knowledge integration and RAG architecture including vector databases, retrieval strategies, chunking policies, and hybrid grounding methods

• Continuously evaluate new model capabilities and AI technology trends

Required Skills:

• Architectural judgment and hands-on expertise in AI and LLM systems • Experience designing scalable and low-latency AI architectures

• Knowledge of multi-provider LLM integration and orchestration

• Understanding of distributed systems, microservices, and load balancing

• Strong grounding in AI model governance and benchmarking

• Awareness of data security and privacy best practices

• Experience with retrieval-augmented generation (RAG) and vector databases

Preferred (Bonus) Skills:

• Experience with function-calling and knowledge graphs

• Familiarity with hybrid grounding and retrieval enhancement strategies • Experience with voice automation systems (STT/TTS pipelines). give me in a proper formate

Qualification: Doesn’t matter. Skills and experience do.

Objectives of this Role

• Own overall relationship with assigned clients, which includes managing on-boarding, implementation, training, increasing adoption, ensuring retention, and high levels of customer satisfaction
• Maintain and develop customer success strategies and best practices, as well as customer support content, with the help of the creative team
• Communicate effectively with both internal and external senior-level management to understand customer needs, maximize retention and growth, and communicate learnings

Daily and Monthly Responsibilities

• Serve as day-to-day contact for assigned accounts, building trust and rapport while identifying areas of opportunity, highlighting best practices, and documenting them
• Review the customer journey, identifying how it’s supported, taking a consultative approach in helping clients overcome issues and achieve goals
• Collaborate, problem solve, and/or strategize upcoming client meetings with team members
• Prepare necessary documentation or visuals for client to demonstrate performance of campaigns; analyze trends in NPS scores to identify areas of improvement
• Work with the sales and marketing team to drill customer references and develop case studies

Requisites

• 0-3 years of experience in communications, marketing, sales, account management, or customer success
• Strong verbal and written communication, strategic planning, and project management skills
• Analytical and process-oriented mindset
• Comfortable working across multiple departments in a deadline-driven environment
• Active team player, self-starter, and multitasker who can quickly adjust priorities
• Readiness to travel to client location as and when required
•  

Work location:

Candidates must be based out of Mumbai. Work from office @ WeWork Malad.

Salary:

We highly value talent and experience. Competitive salary or better.

• Key Responsibilities : Use cases to support use case analysis E2E, define capabilities, understand the data and model Machine Learning Operations MLOps Azure Machine Learning, Azure Cognitive Services, Azure DevOps, Overall Azure Cloud Experience, Powershell, DSVM, AML Compute / Training Clusters Azure Infrastructure Experience, Python, Big Data Python Scripting 8 Automate ML models deployments,  Manage, monitor, troubleshoot machine learning infrastructure and Setup ML Pipe lines
• Technical Experience : Proven skills experience in Azure AI ML solution design and architecture based solution using Azure Cloud capabilities AML / AKS Proven record of embedding advanced analytical models into business processes Collaborate in multi-functional teams to evaluate business activities, and then develop innovative and effective approaches to tackle teams analytics problems and communicate results bitbucket, Nodejs, PowerBI SQL, Python
• Experience in setting up MLOps framework for AI ML team