Instructional Designer

Position: Trainee Electronics Engineer

Location: Gandhinagar, Gujarat

Employment Type: Full-time, On-site

Experience: 6 month to 2 year (Freshers Preferred)

Salary: ₹19,000 CTC (Starting)

Key Responsibilities

• Assist in testing, troubleshooting, and maintenance of electronic equipment and systems.
• Understand and interpret electrical and electronic circuit drawings.
• Perform on-site service and support activities as required.
• Work closely with senior engineers to learn and implement engineering best practices.
• Prepare and maintain technical documentation and service reports.

Required Skills & Qualifications

• Qualification: B.E. in Electronics Engineering.
• Strong understanding of basic electronics concepts, measuring units, instruments, and electrical properties of components.
• Ability to read and interpret electrical drawings.
• Good communication skills – must be able to read, write, and speak in English.
• Willingness to travel for service and field assignments.
• Freshers and local candidates will be given preference.

Position Title: Admission Counselor

Job Location: Jodhpur.

Experience: min 3 years of experience in the educational field only

*Only Female candidates are required for this position*

Job Summary:

As an Admission Counselor, you will be responsible for recruiting, advising, and admitting prospective students to the institution. You will serve as a liaison between the institution and potential students, guiding them through the admissions process and providing information about academic programs, campus life, financial aid, and other relevant topics. Your goal will be to attract a diverse and qualified pool of female applicants and ensure a seamless transition from application to enrollment.

Key Responsibilities:

• Represent the institution at high schools, college fairs, and community events to promote programs and opportunities.:
• Provide personalized guidance to prospective students, addressing their questions and concerns about academic programs, admissions requirements, and campus resources.
• Assist students in identifying their academic and career goals and how they align with the institution's offerings.
• Cultivate positive relationships with high school counsellors, community organizations, and other stakeholders to promote the institution and foster partnerships.
• Maintain contact with admitted students to facilitate their transition to enrollment and address any concerns they may have.
• Maintain accurate records of recruitment activities, applicant interactions, and admissions decisions using the institution's CRM or admissions software.

Qualifications:

• Bachelor's degree in education, counselling, marketing, or a related field (Master's degree preferred).
• Previous experience in admissions, recruitment, or counselling, preferably in a higher education setting.
• Strong communication and interpersonal skills, with the ability to engage and connect with diverse audiences.
• Knowledge of admissions processes, financial aid options, and higher education trends.

Additional Requirements:

• Willingness to travel occasionally and work flexible hours, including evenings and weekends, to accommodate recruitment events and deadlines.
• Ability to work independently and as part of a team in a fast-paced environment.
• Empathy, patience, and a genuine desire to help students achieve their educational goals.

Job Description

Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.

Role & Responsibilities

• Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
• LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
• Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
• Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
• Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
• Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.

Preferred Candidate Profile

• Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
• Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
• Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
• AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
• Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
• MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
• Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
• Education: Degree in Computer Science, Data Engineering, or related field.

Perks and Benefits

• Competitive Compensation: INR 20L to 30L per year.
• Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.

Roles and Responsibilities

- Calling people who have filled the signup or contact form

- Finding leads online/offline who match the criteria of the target customer

- Make cold calls to the leads generated

- Handle both outbound/inbound calls

- Update systems, CRMs, Excels, Google Sheets

- Give platform demo to interested customers

- Write articles/knowledge base for tutorials on how to use the product

- Support customers for any queries about the product

Desired Candidate Profile

- Should have great convincing skills

- Should have strong negotiating skills

- Should be able to pitch the client understand the customer instead of repeating a fixed sales pitch

- Should have always achieved targets or beyond

- Should be able to Tech Savvy

- Go-getter attitude, self-starter, instead of manager or management having to follow up to get work done or to remind about targets

- Well organized with handling data, sales funnel and reaching out to the customers on time

- Soft-spoken and delight for customers to speak to

- Must have email writing skills to follow up or share information

- Can be on phone for a long time and familiar with using dialer systems

Main Responsibilities:

• Should be accountable for the deliverables of assigned MS Dynamics CRM functionality
• Should be able to work with Business groups, Architects to understand the functional expectations, produce technical solutions and documentation
• Should be able to conceptualize and design solution, independently customize, develop/code using MS Dynamics 365 and technologies such as C#, .Net, Integration technologies including SQL Server & Kingsway Soft
• Should be able to own technical impediments, liaise with various groups and troubleshoot /resolve
• Participate in the Scrum process activities including Sprint Planning and Estimating sessions, Daily Stand-ups, Sprint Demos and Sprint retrospectives.

Basic Qualifications:

• 4+ years’ strong experience in MS dynamics 365 implementations & support and extensive experience with C#, .NET, JavaScript, Power apps
• Strong experience in Web API development and plug in’s
• Strong experience in integration technologies including SQL Server & KingswaySoft to connect internal & third-party systems
• Experience with Power BI, SQL Server Integration Services, ASP.net, client-side JavaScript frameworks, Xamarin.

Preferred Qualifications:

• Strong experience using Microsoft Azure Dev Ops, MS Visual Studio and MS SQL server

You have experience in tackling organization wide challenges which are complex initiative that span multiple teams and products. Strong bias for operational and engineering excellence. critical that your voice is heard in product and business decisions. You like to find patterns that can reuse across multiple stacks, and willingness to help organisations adopt newer technologies. You are a great communicator and you take care setting high benchmarks in technical design choices. You spend a lot of time on research and love to discuss pros/cons of all choices and helping others towards making careful decisions.

Responsibilities:

• You will participate in all aspects of our development and provide expertise on architecture decisions we'll need to make to solve organisational problems.
• Driving technical roadmaps for the organisation.
• Set the north star for all key technical metrics to monitor and set high standards.
• Identify and articulate current state architecture and clarity on final state architecture and build organisation level influence to drive this to conclusion.
• Coaching / mentoring folks across the organisation on various technologies.
• Improve the recruiting and hiring process.
• Thinks about culture and how to impact it.
• Build, develop and scale our platform that powers real estate agents, buyers and sellers.
• Become a domain expert on real estate technology and products and an empathetic partner to our customers.
• Inspire, recruit and mentor your engineering colleagues.
• Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/monitoring to drive. efficiencies.

Requirements:

• BS in CS or EE or equivalent.
• Proven track record working in top talent and high performance environments.
• Experience working on large scale systems in rapid growth environments.
• Experience with modern web frameworks (e. g. Go/React), distributed computing (e. g. Spark), public cloud platforms (e. g. AWS) and data pipelines
• Familiarity with containerisation, microservices architecture, continuous integration and delivery.
• Experience with multiple well-known products throughout their life cycles, from idea conception to product release and maintenance.
• 10+ years experience.

• Published Engineering blogs.
• Experience with multiple well-known products throughout their life cycles, from idea conception to product release and maintenance.
• External presentations in events.