Customer support executive

Job Title : Junior ELK Data Engineer

Experience Required : 3+ Years

Location : Bangalore (Work From Office / Hybrid as per project requirement)

Job Type : Full-Time

Joining : Immediate Joiners only

Job Summary :

We are seeking a Junior ELK Data Engineer with over 3 years of hands-on experience in the Elastic Stack (Elasticsearch, Logstash, Kibana, and Beats).

The ideal candidate will help design, develop, and optimize scalable data ingestion, indexing, and visualization solutions, contributing to the development of high-performance observability and analytics platforms for real-time monitoring and analysis.

Mandatory Skills :

Elastic Stack (Elasticsearch, Logstash, Kibana, Beats), real-time data ingestion, dashboard development, log processing, search optimization, system observability.

Key Responsibilities :

• Build and maintain data pipelines using Logstash, Beats, and Elasticsearch for real-time log ingestion and processing.
• Design and develop Kibana dashboards for effective visualization and alerting across various data sources.
• Optimize indexing strategies for large-scale distributed systems to ensure high search performance and reliability.
• Collaborate with DevOps and SRE teams to enable effective observability and monitoring solutions.
• Analyze system performance and troubleshoot issues related to logging and monitoring pipelines.
• Assist in configuring and maintaining ELK stack components in production and development environments.

Preferred Qualifications:

• Experience in handling distributed systems logs and metrics at scale.
• Familiarity with scripting (Python/Shell) for data manipulation or automation.
• Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.
• Understanding of containerized environments like Docker/Kubernetes.

Core Responsibilities:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

Skills:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

Required experience:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Skills: Aws, Aws Cloud, Amazon Redshift, Eks

Must-Haves

Amazon SageMaker, AWS Cloud Infrastructure (S3, EC2, Lambda), Docker and Kubernetes (EKS, ECS), SQL, AWS data (Redshift, Glue)

Skills : Machine Learning, MLOps, AWS Cloud, Redshift OR Glue, Kubernetes, Sage maker

******

Notice period - 0 to 15 days only 

Location : Pune & Hyderabad only

Core AI Backend Engineer – LLM Fine-Tuning

You know that moment when you don’t just debug code — you train a model, fine-tune it, and suddenly it understands your domain better than you expected? That’s the kind of magic we’re looking for.

We’re building something that turns chaotic social video data into crystal-clear business intelligence. Not just another API — but AI-backed architecture fine-tuned to our world. Systems that marketing teams thank you for, because they feel the intelligence, not just the infrastructure.

Either you feel the craft when you read this, or you don’t. This isn’t just another backend role. This is where you bring together scalable systems and cutting-edge LLMs to build something the world hasn’t seen before.

Who We Are

We’re a small, global team that ships fast. Every line of code and every model choice affects millions of video analysis requests.

Our engineers don’t just build APIs — they architect solutions, they optimize at scale, and now, they fine-tune models to make AI work in the real world. Our CPTO still codes. Our senior engineers make complexity look effortless. Our backend team sets a standard that others ask how we move so fast.

What We Need

We need someone who’s lived both sides of this life:

• Backend excellence: building high-scale, high-performance systems.
• LLM fine-tuning: hands-on with open-source models, not just calling APIs.

Someone who can sit with a requirement at 2pm and by 6pm not only has endpoints working, but also has a fine-tuned model running behind them — customized to our use case.

Your Craft

• JavaScript/TypeScript & NodeJS as core backend tools.
• Next.js for full-stack where needed.
• Rust when performance is non-negotiable.
• Golang/Python as comfortable tools of choice.
• MySQL/Postgres/Redis — wielded with intention.
• AWS ecosystem — your playground, not your puzzle.
• LLM/AI integration you’ve actually shipped.
• Open-source LLM fine-tuning experience:
• Bringing in open-source models (LLaMA, Mistral, Falcon, etc.).
• Fine-tuning/adapting them for specific domains.
• Optimizing for inference cost, latency, and accuracy.

The Reality

The work is beautifully complex. The scale is real and growing. The problems are the kind that wake you up at 3am with solutions.

If you get your energy from building backend systems and adapting LLMs to make them smarter for real-world use, you’ll probably fall in love with what we do. If you’re only interested in APIs without touching models, this won’t be your thing — and that’s completely okay.

How to Apply

If you’re reading this thinking “finally, a team that actually cares about real AI engineering” — we’d love to see something you’ve built.

Not just a resume. Show us your craft:

• An LLM fine-tuning repo.
• A domain-adapted model you worked on.
• A system design where you combined backend and AI.
• Or even a short write-up or voice note explaining what you’ve fine-tuned.

We’re genuinely excited to see what you’ve done and have a meaningful conversation about whether this could be magic for both of us.

Skill : 4-10 years of experience in development of automation framework using Python

• Experience in GUI development using HTML/CSS/JS/Angular JS/Django are preferred
• Having good understanding of REST is desired
• Excellent Troubleshooting and Analytical Skills are desired
• Good Communications and interpersonal skill are desired

Role: Human Resource Head

Location: Vikhroli, Mumbai

What will you do with us?

-Be a strategic advisor on all aspects of people management for the organization.

-Develop and foster a work environment that is entrepreneurial, customer focused, and results-oriented.

-Encourage employee participation and contribution to the growth and well-being of the business and bring in external recognition for our brand as the Employer of choice.

-Establish and maintain high levels of employee engagement activities and commitment.

-Provide accurate and constructive analytics to the leadership team and help formulate people strategies basis the information.

-Design the annual HR budget and ensure optimal utilization of resources to ensure an effective outcome for all HR metrics.

-Responsible for Talent Management strategy including appropriate learning interventions and leadership development.

-Develop, build and manage Professional and Career Development programs along with relevant and contextual training programs in line with the growth and evolution of the organization.

-Guide and coach, the HR team to deliver efficient, high-quality HR solutions and services concerning - Recruitment, onboarding, Performance Management, Employee Engagement, Organization Development, Training and Development, Rewards and Benefits.

-Align the annual Compensation & Benefit strategy with business goals and objectives and drive the performance link pay and ESOP as per the Performance Management System cycle.

-Build an organization that is fully compliant with all statutory and regulatory requirements.

What are the must-haves?

-Bachelor or Master's degree in Business, Human Resources or a related field required.

-12+ years of experience in Human Resources.

-Expertise in HR functional areas including talent acquisition, performance management, learning and development, compensation and benefits.

-Should have created and executed programs in strategic HR areas like operations efficiency, organization development and change management.

-Experience in coaching and mentoring leadership to the next level, being an effective sounding board for the Business Leaders of the organization and leadership team of group companies will be important.

-Great team player and ability to work effectively in a matrix organization environment.

-Strong written and oral communication is essential.

Safety Connect is a leading company in the domain of enterprise field force safety.

We are looking for a Flutter developer to join our team. The developer will be responsible for Flutter development for a Product. The primary focus will be on understanding the product flow and making App UI with API integration. App development will be done for both Android and iOS platforms.

Roles and Responsibilities:

• Design and develop high-volume, low-latency applications for mission-critical systems, delivering high-availability and performance

• Must have work experience with Flutter SDK and Dart programming language

• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies.

• Familiarity with SQL/NoSQL databases and their declarative query languages.

• Write well designed, testable, efficient code

• Ensure designs are in compliance with specifications

• Proficient understanding of code versioning tools, such as Git.

• Strong debugging, aptitude, and problem-solving skills.

• Strong communication and team collaboration skills.

• Knowledge of Firebase or Firestore is a plus.

• Collaborate closely with the teams of UI/UX designers, PMs, QAs, and other developers

Qualifications/ Requirements:

• Experience with offline storage, threading, and performance tuning

• Familiarity with push notifications

• Familiarity with IOS and Android integrations with Flutter.

• Experience using GitHub or similar environment

• Complete understanding of SDLC

• Knowledge and understanding of Design-Patterns and Data Structures.

• Attention to detail and good problem-solving skills.

• Excellent interpersonal skills.

• 1-2  years of experience as a flutter developer in SaaS/B2B.

• Bachelor’s degree or equivalent required in computer science or information technology.

What you need to have:

• Proven experience as a Sales Executive or relevant role
• Proficiency in English
• Excellent knowledge of MS Office
• Hands-on experience with CRM software is a plus
• Thorough understanding of marketing and negotiating techniques
• Passion for sales
• Self-motivatation with a results-driven approach
• Aptitude in delivering attractive presentations