Sales Executive

Strong sales, business development and networking profile

Mandatory (Experience): Must have 1+ years of experience in Sales, Business Development in investment Banking, Venture Capital, Private Equity, or related fields

Mandatory (Tech Skills 1): Must have experience engaging with startups or early-stage companies for partnerships or fundraising

Mandatory (Tech Skills 2 ): Must have experience identifying and sourcing startup deal flow or fundraising mandates

Mandatory (Tech Skills 3): Must have basic understanding of startup financing, equity structures, investor types, and fundraising models

Mandatory (Tech Skills 4): Must maintain deal pipeline, BD dashboards, and mandate records

Mandatory (Note 1): Must have high ownership and target-driven mindset

Mandatory (Note 2): Female candidates only

We are looking for a passionate and experienced Java Developer with over 4 years of hands-on experience in building robust and scalable backend systems using Java, Spring Boot, and Microservices architecture.

Key Responsibilities:

• Design, develop, test, and deploy high-performance, scalable, and secure backend services using Java 8+, Spring Boot, and Microservices.
• Participate in the entire software development lifecycle (SDLC), from requirements gathering to production deployment and support.
• Collaborate with frontend developers, DevOps engineers, and product owners to deliver end-to-end features.
• Optimize application performance and ensure high availability and responsiveness.
• Write clean, maintainable, and reusable code while following best practices (coding standards, unit testing, CI/CD, etc.).
• Develop RESTful APIs and ensure their quality and consistency.
• Handle integration with external systems and third-party services.
• Participate in code reviews, provide constructive feedback, and mentor junior developers.

Technical Skills Required:

• Languages: Java 8 or above
• Frameworks: Spring Boot, Spring MVC, Spring Security
• Architecture: Microservices architecture and design patterns
• Databases: MySQL/PostgreSQL, MongoDB (optional)
• Messaging: Kafka, RabbitMQ (optional)
• API Development: RESTful APIs, Swagger/OpenAPI
• Version Control: Git, GitHub/GitLab
• Tools: Maven/Gradle, Jenkins, Docker
• Testing: JUnit, Mockito
• Cloud (optional): AWS/Azure/GCP exposure
• CI/CD & DevOps tools (optional): Jenkins, Docker, Kubernetes

Nice to Have:

• Experience in containerization and orchestration (Docker, Kubernetes).
• Knowledge of API Gateway, Service Registry (e.g., Eureka), and Circuit Breakers (e.g., Hystrix or Resilience4j).
• Experience with Agile methodologies (Scrum/Kanban).
• Familiarity with monitoring and logging tools (ELK, Prometheus, Grafana, etc.).

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.

We are searching for a driven, detail-oriented content creator to produce high-quality outputs for our business. The content creator will identify new ways to reach consumers. 

Content Creator Responsibilities:

• Writing, reviewing, editing, and updating content for company websites, blogs, marketing materials, and similar platforms.

• Learn more about current trends, developments, and perceptions about the subject matter, and then contextualizing your findings.

• Assisting the creative team.

• Using social media to engage consumers, respond to questions or complaints, and to promote company initiatives.

• Collaborating with internal departments to establish campaign. 

• Monitoring social media and company website metrics.

• Suggesting new ways to promote company offerings and to reach consumers.

• Experience creating strong, engaging content.

• Excellent research, organizational, and time management skills.

• Strong listening and communication skills.

• The capacity to work independently and collaboratively.

· Participate in the entire application lifecycle, focusing on coding and debugging

· Write clean code to develop functional web applications

· Troubleshoot and debug applications

· Perform UI tests to optimize performance

· Manage cutting-edge technologies to improve legacy applications

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

· Gather and address technical and design requirements

· Provide training and support to internal teams

· Build reusable code and libraries for future use

· Liaise with developers, designers and system administrators to identify new features

· Follow emerging technologies

Job description

Roles and Responsibilities

• Design and build advanced applications for the IOS platform
• Maintain quality and ensure responsiveness of applications.
• Collaborate with the rest of the engineering team to design and launch new features.
• Collaborate with cross-functional teams to define, design & deploy.
• Work with outside data sources and APIs
• Unit-test code for robustness.
• Work on bug fixing and improving application performance
• Maintain code integrity and organization.

Desired Candidate Profile

• 2+ Years should be required in iOS development.
• Should be well aware about iPhone/iPad application development
• Should be well versed with Core data concepts
• Should be well versed with Swift-UI
• Should be well versed with Network load optimisations & other core networking concepts
• Must be very good with designing pixel perfect UI
• Good to have Core Audio, Graphics & video frameworks.
• Good knowledge of app deployment process & good to have knowledge on build automation.
• Should have decent communication skills to be able to interact with Clients.

The ideal candidate will have experience in all stages of the sales cycle. They should be confident with building new client relationship and maintaining existing ones for B2B. They should have evidence of strong skills and possess good negotiation skills. #hiring

Responsibilities

• Build relationships with prospective clients
• Maintain consistent contact with existing clients
• Manage sales pipeline
• Analyze market and establish competitive advantages
• Track metrics to ensure targets are hit

Qualifications

• Bachelor's degree 3+ years in sales industry
• Experience in full sales cycle including deal closing Demonstrated sales success
• Strong negotiation skills
• Strong communication and presentation skills
• B2B Experience Preferred

• Design and development of Verification IPs and models for ADAS and AV customers. 
• Understand the Customers’ verification pain points, translate them into technical terms, and propose new features for the product
• Work with the customers on adopting the product, training, helping them address issues

• Deploy verification solution  (composed of a product, language, and methodology) for customers
• Support installation, integrations, and assimilation of new versions, and/or SW packages at the Customers’ sites
• Develop Application Notes, Methodology documents as well as technical presentations