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5+ years of experience in Computer Vision, with at least 2 years in a lead or senior

role

 Strong proficiency in Python and deep learning frameworks (PyTorch, TensorRT,

CUDA)

 Hands-on experience with video analytics, object detection, tracking, segmentation, or

recognition systems

About the company

Metron Security provides automation and integration services to leading Cyber Security companies. Our engineering team works on leading security platforms including - Splunk, IBM’s QRadar, ServiceNow, Crowdstrike, Cybereason, and other SIEM and SOAR platforms. 

Software Engineer is a challenging role within Cyber Security Engineering integration development. The role involves developing a product/service that achieves high-performance data exchange between two or more Cyber Security platforms. A Software Engineer is at the core of the evolution process and is responsible for the End-to-End delivery of the project, right from getting the requirements from customers to deploying the project for them on-prem or on the cloud, depending on the nature of the project. We follow the best practices of engineering and keep evolving. We are agile. 

Each integration needs reskilling yourself with the required technology for that project. If you are passionate about programming and believe in the best practices of software engineering, the following are the skills we are looking for: 

● Developer-centric culture - No bureaucracy or red tape. 

● Chance to work on 200+ security platforms. 

● Opportunity to engage with end-users (customers) and just a cog in the wheel.

About the role

We are looking for passionate developers with 4-7 years of experience in software development to join the Metron Security team as Software Engineers. 

Mandatory Skills 

• 4+ years of experience in software engineering, with a proven track record of leading engineering teams and mentoring junior developers. 
• Expertise in at least one or two Object-Oriented Programming language (Python, typescript, Java,Node.js,Angular, react.js C#, C++) . 
• Good knowledge of Data Structure and its correct usage. 
• Oversee code reviews, ensuring adherence to best practices and maintaining high code quality standards. 
• Imbibe and maintain a strong customer delight attitude while designing and building products/services.

Other Requirements 

• Open to learn any new software development skill if needed for the project.
• Alignment and utilisation of the core enterprise technology stacks and integration capabilities throughout the transition states. 
• Participate in planning, definition, and high-level design of the solution and exploration of solution alternatives. 
• Define, explore, and support the implementation of enablers to evolve solution intent, working directly with Agile teams to implement them. 
• Good knowledge of the implications of Cyber Security on production.
• Experience in architecting & estimating deep technical custom solutions & integrations. 
• Manage the customer to ensure we have a continuous flow of work from them so that the team has enough work for at least a month. 
• Mentor and coach team members, providing technical guidance and fostering professional development. 

Added advantage: 

• Experience in the Cyber Security domain.
• Experience in developing software using web technologies. 
• Experience in handling a project from start to end. 
• Hands-on experience in an Agile Development project and in writing and estimating User Stories. 
• Contribution to open source - Please share your link in the application/resume if any.

About the Role :

As the Lead AI/ML Engineer, you will be responsible for leading the design, development, deployment, and continuous improvement of AI-powered solutions that create measurable impact in education. This role combines hands-on technical execution with engineering leadership, requiring you to architect scalable AI systems, mentor engineers, establish best practices, and collaborate closely with cross-functional teams to deliver production-grade solutions.

You will take ownership of the complete AI development lifecycle—from problem definition and data pipeline design to model training, deployment, monitoring, and optimization—while ensuring high standards of reliability, scalability, security, and performance. The role also involves evaluating emerging AI technologies and driving their adoption to enhance product capabilities and user experience.

Roles and Responsibilities:

• Lead the design, development, and deployment of AI-powered products for production environments.
• Drive technical architecture and decision-making across machine learning models, inference systems, cloud infrastructure, and distributed computing.
• Develop and maintain end-to-end machine learning pipelines, including data ingestion, model training, evaluation, deployment, monitoring, and continuous optimization.
• Design scalable, secure, and high-performance AI services capable of handling production-scale workloads.
• Provide technical leadership by mentoring engineers, conducting code and design reviews, and fostering engineering excellence.
• Establish and promote best practices for software quality, testing, performance optimization, observability, reliability, and maintainability.
• Collaborate closely with Product, Backend, Mobile, and Data teams to deliver robust, scalable, and business-focused AI solutions.
• Research, evaluate, and implement emerging AI technologies to enhance product capabilities and drive innovation.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline.
• Minimum 4 years of hands-on experience developing, deploying, and maintaining production-grade AI/ML systems.
• Strong proficiency in Python with excellent software engineering, object-oriented programming, and system design skills.
• Extensive experience with modern machine learning frameworks such as PyTorch, Hugging Face, TensorFlow, or equivalent.
• Proven expertise in deploying, optimizing, and scaling large language models (LLMs) and other AI models for production inference.
• Strong understanding of containerization and cloud-native technologies, including Docker, Kubernetes, AWS, and distributed system architectures.
• Demonstrated ability to lead technical initiatives, mentor engineering teams, and make sound architectural decisions.
• Excellent analytical, debugging, communication, and problem-solving skills.

Preferred Qualifications

• Hands-on experience with Large Language Models (LLMs), Computer Vision, Speech Recognition, Generative AI, or Multimodal AI systems.
• Experience with model optimization and inference technologies such as Quantization, Distributed Training, vLLM, TensorRT, ONNX Runtime, or similar frameworks.
• Prior experience developing AI solutions for the education, public sector, or other large-scale social impact initiatives.

Details:

• Location: Kothrud, Pune.
• Interested candidates should fill in the application on career website   https://careers.vopa.in/                                 
• Salary :- 12 LPA to 14 LPA (Depending on last drawn salary, Interview and Skills)

Technical Support Engineers (TSE) make up a small, talented, and dedicated global team providing an important part of the Pendo experience through guidance and consulting to customers. We pride ourselves on prompt responses to customers with a range of technical capabilities to ensure the success of customers across our web and mobile features as part of the Engineering organization. While the entire company has a customer focus, TSEs make champions out of our customers and provide a partnership experience through professional and accurate technical support.

Responsibilities:

• Answer customer questions through our support queue
• Be the voice of the customer to the Product and Engineering organizations
• Debug customer issues, create reproducible test cases for developers, and validate fixes and workarounds
• Take ownership of pushing cases to resolution, including working with developers
• Actively contribute to knowledge documentation through the creation of internal and customer-facing documentation
• Qualifications (your experience):
• Highly empathetic and passionate about helping others at a moment's notice
• Applied coding knowledge - Front End or API
• Reliable and active team member
• Ability to learn technical concepts and translate them to business solutions for customers with a thirst for knowledge
• Conversational fluency in spoken and written English
• 2+ years of professional experience in JavaScript, HTML, CSS and/or Mobile Development
• 2+ years of professional experience working in a customer-facing role
• Proven record of continued education/pursuit of knowledge in technology (computer science degree, coding school, other relevant courses)

Responsibilities

● Design, build, and deploy applied ML models (NLP, LLM-based) to solve real-world sales tech problems.

● Build and orchestrate true multi-agent systems to collaboratively solve complex tasks and workflows that reason, remember, plan, and take actions over structured and unstructured data.

● Use frameworks like LangGraph, CrewAI, or custom planners to orchestrate LLM-powered agents.

● Prototype and productionize capabilities using foundation models (OpenAI, Claude, Gemini, etc.), embeddings, and vector databases (e.g., Pinecone, Weaviate).

● Work with the product team to integrate intelligent agents into customer CRM workflows and GTM-facing tools.

● Design observability, evaluation and control mechanisms to ensure agent reliability, traceability, safety and frugality.

● Continuously improve agents with RF and active learning.

Requirements

● Bachelor’s or Master’s in Computer Science, AI/ML, or a related field.

● 2+ years of experience deploying ML models or AI systems in production

environments.

● Experience with LLMs, NLP pipelines, prompt engineering, and fine-tuning.

● Familiarity with agentic frameworks (LangChain, LangGraph, AutoGPT, CrewAI, or custom orchestration).

● Strong Python programming skills and deep knowledge of the ML/LLM ecosystem.

● Hands-on experience with MLOps, API integrations, and cloud infrastructure (AWS, GCP, or Azure).

● Ability to balance rapid experimentation with robust engineering.

Nice to Have

● Experience working with sales/revenue data (CRM, Gong, Salesforce, LinkedIn).

● Familiarity with reasoning techniques (ReAct, CoT, Tree-of-Thoughts), graph orchestration, and tool chaining.

● Exposure to multi-agent systems, RAG pipelines, or feedback loops in production.

● Contributions to open-source AI/agentic tools or frameworks.

Position: Presales Consultant

Experience: 1-5 Years (Banking, Finance, Real Estate, or Insurance)

Location: Sr. No 51/2A, Navle Icon 03rd floor Office No. 301, Opp Navle Bridge, Mumbai, Bangalore Highway, Narhe, Pune, Maharashtra 411041

Salary: 15K to 40K

Interview Mode: Face to Face

Candidates should be Pune Location only

Overview

We’re seeking a proactive Presales Consultant to generate leads, engage clients, and create opportunities for our sales team. This role involves securing positive client responses and setting up second meetings with senior team members.

Key Responsibilities

· Lead Generation: Identify potential clients through calls, emails, and digital platforms.

· Client Engagement: Build interest by effectively presenting our offerings.

· Appointment Setting: Schedule follow-up meetings for senior team members.

· Collaboration: Coordinate with sales and management teams for smooth transitions.

· Reporting: Track lead interactions and report progress.

Qualifications

· 1-2 years in Banking, Finance, Real Estate, or Insurance

· Strong communication and basic sales skills

· Proactive and self-motivated with CRM proficiency

Job Summary:

Job Description Combine your passion for technology, healthcare, and communications as an HCS Web/React UI Software Engineer. You will develop and improve our software workflow control systems through the full software development cycle from design to maintenance, while improving hospital communication and performance. This role will work on re-engineering existing applications into the SAAS model using state of the art technologies.

Primarily responsible for technical leadership, support, and guidance to local engineering teams, ensuring that projects are completed safely, efficiently, and within budget as well as overseeing the planned maintenance programs of facilities.

Key Responsibilities:

• Oversee and coordinate all facilities management and project activities, including maintenance, renovation, and remodeling projects.

• Lead and manage facility-related projects, such as renovations, expansions, or relocations. Develop project plans, allocate resources, set timelines, and monitor progress to ensure successful completion within budget and schedule.

• Oversee relationships with external vendors, contractors, and service providers. Negotiate contracts, monitor performance, and ensure compliance with agreed-upon terms and service level agreements.

• Identify and implement best practices in facilities management. Ensure facilities comply with all relevant codes, regulations, and health and safety standards. Stay updated on changes in regulations and implement necessary changes to maintain compliance.

• Oversee facilities planned maintenance programs.

• Monitor project progress, identify risks, and implement mitigation strategies.

• Lead and oversee engineering projects within the Dubai & Northern Emirates region.

• Prepare financial reports and forecasts for management review.

• Identify and mitigate project risks and issues.

• Ensure compliance with environmental, health, and safety regulations.

• Generate progress reports, status updates, and other project-related documentation as required.

• Ensure that all project deliverables are of the highest quality, and that they meet the requirements of the project scope.

Qualifications:

• Bachelor's Degree in engineering or related fields.

• Engineering qualifications in Electrical or HVAC disciplines will be an advantage.

• 5 - 10 years of experience in Engineering in Healthcare setup or a similar field.

• Strong analytical and problem-solving skills.

• Must have hands-on experience in hospital systems.

• Ability to think critically and maintain a high level of confidentiality.

• Must be willing to participate in crisis management at facility level.

• Strong interpersonal, verbal, and written communication skills.

• Familiarity with project management software.

About Telstra:

Telstra is Australia’s leading telecommunications and technology company, with operations in more than 20 countries. At Telstra, We've implemented an IT strategy that employs leading-edge software engineering practices to help deliver a superior customer experience with improved trust and speed of delivery, lower cost, and simplified architecture, systems and processes.

Your key responsibilities and major tasks include, but are not limited to

• As a backend Java developer, you will work within a specific problem space critical to Telstra’s current needs where you will design, develop, and deploy backend services with a focus on scalability, high availability, and low latency.
• Review and integrate all application requirements, including functional, security, integration, performance, quality, and operations requirements.
• Apply engineering best practices such as Agile, CI/CD, and DevOps as part of a high performing motivated team.
• Collaborate and grow in a dynamic and autonomous environment while working in small, agile, and cross functional teams
• Pivot to working on new features and developments, to providing production support in the production and pre-production environments assisted by all team members. This responsibility is equally shared by all members of the team.
  
  

We are looking for candidates with the following experience and skills:

Essential skills and Experience

• 3 years – 7 years year experience in this area
• Must have strong Java programming background (preferably Java 8+)​
• Preferred Frameworks – Spring Boot​
• Unit Testing, Integration testing and Automated testing. ​
• Experience with Continuous Integration/Deployment​
• Microservices development – HTTP, REST API​ design and implementation​
• Comfortable to operate in an agile, dynamic environment​.