Sales Executive

Python Developer - AI/MLYour Responsibilities

• Develop, train, and optimize ML models using PyTorch, TensorFlow, and Keras.
• Build end-to-end LLM and RAG pipelines using LangChain and LangGraph.
• Work with LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI) and implement prompt engineering strategies.
• Utilize Hugging Face Transformers for model fine-tuning and deployment.
• Integrate embedding models for semantic search and retrieval systems.
• Work with transformer-based architectures (BERT, GPT, LLaMA, Mistral) for production use cases.
• Implement LLM evaluation frameworks (RAGAS, LangSmith) and performance optimization.
• Design and maintain Python microservices using FastAPI with REST/GraphQL APIs.
• Implement real-time communication with FastAPI WebSockets.
• Implement pgvector for embedding storage and similarity search with efficient indexing strategies.
• Integrate vector databases (pgvector, Pinecone, Weaviate, FAISS, Milvus) for retrieval pipelines.
• Containerize AI services with Docker and deploy on Kubernetes (EKS/GKE/AKS).
• Configure AWS infrastructure (EC2, S3, RDS, SageMaker, Lambda, CloudWatch) for AI/ML workloads.
• Version ML experiments using MLflow, Weights & Biases, or Neptune.
• Deploy models using serving frameworks (TorchServe, BentoML, TensorFlow Serving).
• Implement model monitoring, drift detection, and automated retraining pipelines.
• Build CI/CD pipelines for automated testing and deployment with ≥80% test coverage (pytest).
• Follow security best practices for AI systems (prompt injection prevention, data privacy, API key management).
• Participate in code reviews, tech talks, and AI learning sessions.
• Follow Agile/Scrum methodologies and Git best practices.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, AI/ML, or related field.
• 2–5 years of Python development experience (Python 3.9+) with strong AI/ML background.
• Hands-on experience with LangChain and LangGraph for building LLM-powered workflows and RAG systems.
• Deep learning experience with PyTorch or TensorFlow.
• Experience with Hugging Face Transformers and model fine-tuning.
• Proficiency with LLM APIs (OpenAI, Anthropic, Azure OpenAI) and prompt engineering.
• Strong experience with FastAPI frameworks.
• Proficiency in PostgreSQL with pgvector extension for embedding storage and similarity search.
• Experience with vector databases (pgvector, Pinecone, Weaviate, FAISS, or Milvus).
• Experience with model versioning tools (MLflow, Weights & Biases, or Neptune).
• Hands-on with Docker, Kubernetes basics, and AWS cloud services.
• Skilled in Git workflows, automated testing (pytest), and CI/CD practices.
• Understanding of security principles for AI systems.
• Excellent communication and analytical thinking.

Nice to Have

• Experience with multiple vector databases (Pinecone, Weaviate, FAISS, Milvus).
• Knowledge of advanced LLM fine-tuning (LoRA, QLoRA, PEFT) and RLHF.
• Experience with model serving frameworks and distributed training.
• Familiarity with workflow orchestration tools (Airflow, Prefect, Dagster).
• Knowledge of quantization and model compression techniques.
• Experience with infrastructure as code (Terraform, CloudFormation).
• Familiarity with data versioning tools (DVC) and AutoML.
• Experience with Streamlit or Gradio for ML demos.
• Background in statistics, optimization, or applied mathematics.
• Contributions to AI/ML or LangChain/LangGraph open-source projects.

We are looking out for an iOS Developer to join the Mobile team to take end to end ownership of our iOS Consumer App. We are looking out for someone who speaks fluent Swift and loves shipping and building beautiful, maintainable and scalable apps.

Requirements:

• You have 2-6 years of experience working with Swift and Objective-C whenever you encounter the pitfalls of Swift.
• Familiarity with MVC, MVP, MVVM and VIPER architectures.
• You have worked on 2-3 production apps with MAU's in the range of 25K+.
• You love getting your hands dirty and are dealing with legacy parts of the code bases.
• You have experience building projects from scratch as well as building on top of existing code bases.
• You have handled complex views ranging from Form Heavy views to Animation Heavy views.
• You have a strong bias towards action.

Good to have:

• Experience dealing with Location Data along with Mapping interfaces like Google Maps, Map Box or MapMyIndia.
• Experience implementing CI/CD, Automated Tests and Unit Testing.
• Experience with RxSwift, Alamofire, Kingfisher, Lottie, SwiftyBeaver, Firebase SDK, Clevertap SDK and ObjectMapper.
• Implementing designs w. r. t HCI guidelines.

Amagi is a SaaS platform that lets every content owner deliver their content to consumers anytime, anywhere, to any device. Amagi helps bring entertainment to hundreds of millions of consumers leading the transformation in media consumption. We believe in a connected ecosystem bringing content owners, distribution platforms, consumers and advertisers together to create great experiences. 

Amagi grew by 136% last year and is on its way to double itself again this year. The market leader in FAST (Free Ad-supported Streaming TV), it delivers more than 500 media brands to 1500+ end points and is growing exponentially. 

At Amagi, our CRM Platform is key to our continued growth. The success of our sales, marketing and customer onboarding teams is dependent on the success of our Salesforce CRM platform setup and its ability to provide scalable, reliable and intuitive experiences to our customers, partners and internal stakeholders.

We are looking for an Engineering Manager to help us lead the efforts of building our billing platform and related process automation solutions. The ideal candidate would be responsible for the successful delivery of a scalable and flexible billing platform and workflows related to accounts receivable and accounts payable.

Role reporting into: Engineering Director - Enterprise Platforms

Individuals reporting into this role: Architect, Staff Software Engineer, Software Tech Lead

Location: Bangalore, India

Key responsibilities include (but are not limited to):

• Lead the core Engineering activities in an Agile model
• Participate in the overall design and development discussions
• Work closely with the Product Management team to establish product and engineering roadmaps.
• Provide architectural and technical guidance to the team and ensure they follow sound engineering practices
• Demonstrate accountability towards intended business outcomes, by working with product management and other functional teams.
• Evaluating Salesforce Standard vs Custom solutions and guide the team.
• Lead the Salesforce implementation related to marketing, sales and order management processes.

Person Specification:

• 10+ years of overall SDLC experience with 6+ years of experience in Salesforce development and architecture
• Implementation experience with Sales Cloud, Service Cloud, Marketing Cloud and/or Revenue Cloud.
• Hands-on with experience with Apex, Lightning web component and REST API programmatic solutions.
• Strong command of Salesforce best practices
• Strong web development skills (JavaScript, HTML, CSS).
• Experience developing the usage/subscription based billing for SaaS products.
• Salesforce certifications
• Strong in CS fundamentals (object oriented analysis, data structures, algorithms)
• Knowledge of Finance & Operations concepts
• Salesforce integration experience with NetSuite, Jira etc.

• 2- 4 years’ experience in solution integration/delivering, and interfacing with customers.
  
• Hands-on experience in SQL and PL/SQL.
• Experience of working in agile teams in implementing large scale digital solutions.
• Good in programming & analytical skills
• Experience in dynamic programming language Python with Django
• Good understanding on enterprise integration, API development, and scalability
• Experience in Software Tools like: Git, Visual Studio code, Jenkins
• Solid experience in System Integration cycles, e.g., code review, source control, code
• quality
• automation scanning, bug scrub, feature testing and product release.
• Able to handle oncall support for bugs caused from delivery
• We are looking for people to co-work with us at our base location (Chennai)
• Ability to co-work with internal teams to optimise and fine tune the integration process
• and move towards a low-code integration framework

Job Description

Software Engineer (Java)

About Ezeiatech

Founded over 8 years ago, we’ve grown from a small team in India’s start up city Gurgaon to a leading global software consultancy.

Over 100+ clients all over the globe are already satisfied by our services and the list continues to grow.

Ezeiatech is the next-generation global technology company that is helping enterprises reimagine their businesses for the digital age. Our technology products, services, and engineering are built on years of innovation, a strong culture of invention and risk-taking, and a relentless focus on customer relationships.

We expertly steer our clients through all the hurdles of their digital journey. We do it by enabling the enterprise with all the latest trends and technologies that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight.

Roles & Responsibilities

• Contribute in all phases of the development lifecycle.
• Write well designed, testable, efficient code.
• Ensure designs are in compliance with specifications.
• Prepare and produce releases of software components.
• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

Desired Qualifications and Experience

• Computer Science or equivalent Engineering degree.
• 1 to 3 years of professional experience as a Java Developer.
• Hands-on experience in designing and developing applications using Java EE platforms.
• Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate).
• Experience in the Spring Framework.
• Experience with test-driven development.

• Lead technical requirement sessions with clients and internal stake holders
• Create new courses related to Data architecture, database design, data mining, data visualization, Power BI for the learners of EduBridge
• Deliver training to the aspiring trainers
• Design and create training manuals, online learning modules, and course materials on
• Review training materials from a variety of sources and choose appropriate materials
• Should be comfortable working individually as a self-starter.
• Be forward-thinking when designing content and adhere to adult learning principles
• Enjoy working with tight deadlines and providing valuable input on projects to enhance and customize training processes to exceed operational needs
• Creating instructional content that incorporates audio and video
• Create knowledge and skills assessments
• Evaluate learning effectiveness
• Apply current research and theory to learning design challenges
• Write/Review storyboards to make the technical content interesting