Team lead

• Required Education qualification : B.Tech / B.Sc (Candidate who have scored more than 70% Above in academics will be preferred.)
• Need 3–5 years of experience in Quality Assurance & Software Testing
• Candidate should have Strong expertise in JIRA (bug tracking and test management) - (2-3 year)
• Candidate should have Hands-on experience in Manual testing: UI, functional, regression, and integration testing.
• Candidate should have Knowledge of API testing tools (Postman, SoapUI, etc.)
• Candidate should have Familiarity with SQL queries for database validation
• Candidate should have Good understanding of Agile/Scrum methodologies
• Candidate should have Strong analytical, troubleshooting skills
• Candidate should have Good communication skills.

Job Title : Python Backend Engineer (with MLOps & LLMOps Experience)

Experience : 4 to 8 Years

Location : Gurgaon Sector - 43

Employment Type : Full-time

Job Summary :

We are looking for an experienced Python Backend Engineer with a strong background in FastAPI, Django, and hands-on exposure to MLOps and LLMOps practices.

The ideal candidate will be responsible for building scalable backend solutions, integrating AI/ML models into production environments, and implementing efficient pipelines for machine learning and large language model operations.

Mandatory Skills : Python, FastAPI, Django, MLOps, LLMOps, REST API development, Docker, Kubernetes, Cloud (AWS/Azure/GCP), CI/CD.

Key Responsibilities :

• Develop, optimize, and maintain backend services using Python (FastAPI, Django).
• Design and implement API endpoints for high-performance and secure data exchange.
• Collaborate with data science teams to deploy ML/LLM models into production using MLOps/LLMOps best practices.
• Build and manage CI/CD pipelines for ML models and ensure seamless integration with backend systems.
• Implement model monitoring, versioning, and retraining workflows for machine learning and large language models.
• Optimize backend performance for scalability and reliability in AI-driven applications.
• Work with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) for deployment and orchestration.
• Ensure best practices in code quality, testing, and security for all backend and model deployment workflows.

Required Skills & Qualifications :

• 4 to 8 years of experience as a Backend Engineer with strong expertise in Python.
• Proficient in FastAPI and Django frameworks for API and backend development.
• Hands-on experience with MLOps and LLMOps workflows (model deployment, monitoring, scaling).
• Familiarity with machine learning model lifecycle and integration into production systems.
• Strong knowledge of RESTful APIs, microservices architecture, and asynchronous programming.
• Experience with Docker, Kubernetes, and cloud environments (AWS, Azure, or GCP).
• Exposure to CI/CD pipelines and DevOps tools.
• Good understanding of Git, version control, and testing frameworks.

Nice to Have :

• Experience with LangChain, Hugging Face, or similar LLM frameworks.
• Knowledge of data pipelines, feature engineering, and ML frameworks (TensorFlow, PyTorch, etc.).
• Understanding of vector databases (Pinecone, Chroma, etc.).

Education :

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Location: HSR Layout, Bangalore

Job Title: Consultant - SDR / Inside Sales / Business Development

Job Overview:

As a Sales Development Consultant, you will be at the forefront of our sales efforts. You will be responsible for generating and nurturing leads, initiating meaningful interactions, and setting the stage for our sales team to succeed, all while operating within the US time zone.

Key Responsibilities:

Lead Prospecting:

o Identify and prospect potential customers and leads through various tools like LinkedIn Sales Navigator / Apollo / Lusha / Zoom Info

o Tailor outreach efforts based on lead characteristics and requirements.

Lead Qualification:

o Evaluate and qualify leads to ensure they meet predefined criteria and are ready for engagement by the sales team.

o Gather essential information to facilitate the sales process.

Ideal Customer Profiling:

o Prospect leads based on the ideal customer profile (ICP) and business requirements defined by the sales and marketing teams.

o Align sales efforts with our target customer segments.

Meeting Scheduling and Follow-Up:

o Initiate contact with potential customers to schedule product/service demonstrations and meetings.

o Maintain diligent follow-up to ensure appointments are attended and opportunities are maximized.

LinkedIn Outreach:

o Engage in strategic outreach on LinkedIn to connect with professionals, share valuable content, and build relationships.

o Craft personalized messages to initiate meaningful conversations.ns.

Responsibilities

• Ability to translate Wireframes and PSD Designs into functional web apps using HTML5, AngularJS, React , Node.js, and Mongo

• Binding of UI elements to JavaScript object models

• Creating RESTful services with Node.js

• Architect scalable web architectures

• Work in a cross-functional team to deliver a complete user experience

• Create Unit and Integration tests to ensure the quality of code

• Be responsive to change requests and feature requests

• Write code that is cross-platform and cross-device compatible

• Ability to wear many hats and learn new technologies quickly

Job description

The role requires you to design development pipelines from the ground up, Creation of Docker Files,  design and operate highly available systems in AWS Cloud environments. Also involves Configuration Management, Web Services Architectures, DevOps Implementation, Database management, Backups, and Monitoring.

Key responsibility area
- Ensure reliable operation of CI/CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creation of Bash/Python scripts for automation
- Performing root cause analysis for production errors.

Requirement
- 2 years experience as Team Lead.
- Good Command on kubernetes.
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins. 
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache. 
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.

Must Have:
Linux, CI/CD(Jenkin), AWS, Scripting(Bash,shell Python, Go), Ngnix, Docker.

Good to have
Configuration Management(Ansible or similar tool), Logging tool( ELK or similar), Monitoring tool(Ngios or similar), IaC(Terraform, cloudformation).