Growth Management (open across all levels)

Qualification : Diploma in Electrical, Mechanical, or Automobile

Engineering Experience : 1-2 Yrs Working in the Automotive Industry.

Location : Kalyan

Salary 30-40K/ Month

Job Description & Skill Required

1. Develop and implement effective maintenance procedures, strategies, and programs to ensure maximum reliability and optimal performance of all equipment and facilities.

• Perform routine maintenance activities, including inspection, lubrication, cleaning, and adjustment of machinery and systems.
• Coordinate with cross-functional teams during installation, maintenance, and repair projects to ensure smooth operations and minimal downtime.
• Conduct preventive maintenance as per established schedules and standard operating procedures.
• Maintain accurate and up-to-date maintenance records, work orders, equipment logs, and inventory documentation.
• Ensure compliance with safety regulations and company standards in all maintenance operations.
• Respond promptly to equipment breakdowns and production interruptions to minimize operational disruptions.

Skills Required

• Excellent troubleshooting and problem-solving abilities.
• Strong Technical knowledge of both mechanical and electrical maintenance.
• Hands-on experience in electrical and mechanical repair work.
• Ability to work independently and take ownership of assigned tasks.
• Effective communication and interpersonal skills for team collaboration.
• Strong time management and task prioritization abilities.

Data Scientist

Job Id: QX003

About Us:

QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights, businesses will continue to face challenges to better understand their customers and even lose them; Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

Position Overview:

We are seeking a collaborative and analytical Data Scientist who can bridge the gap between business needs and data science capabilities. In this role, you will lead and support projects that apply machine learning, AI, and statistical modeling to generate actionable insights and drive business value.

Key Responsibilities:

• Collaborate with stakeholders to define and translate business challenges into data science solutions.
• Conduct in-depth data analysis on structured and unstructured datasets.
• Build, validate, and deploy machine learning models to solve real-world problems.
• Develop clear visualizations and presentations to communicate insights.
• Drive end-to-end project delivery, from exploration to production.
• Contribute to team knowledge sharing and mentorship activities.

Must-Have Skills:

• 3+ years of progressive experience in data science, applied analytics, or a related quantitative role, demonstrating a proven track record of delivering impactful data-driven solutions.
• Exceptional programming proficiency in Python, including extensive experience with core libraries such as Pandas, NumPy, Scikit-learn, NLTK and XGBoost. 
• Expert-level SQL skills for complex data extraction, transformation, and analysis from various relational databases.
• Deep understanding and practical application of statistical modeling and machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and dimensionality reduction.
• Proven expertise in end-to-end machine learning model development lifecycle, including robust feature engineering, rigorous model validation and evaluation (e.g., A/B testing), and model deployment strategies.
• Demonstrated ability to translate complex business problems into actionable analytical frameworks and data science solutions, driving measurable business outcomes.
• Proficiency in advanced data analysis techniques, including Exploratory Data Analysis (EDA), customer segmentation (e.g., RFM analysis), and cohort analysis, to uncover actionable insights.
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).

Good-to-Have Skills:

• Experience with cloud platforms (Azure, AWS, GCP) and specific services like Azure ML, Synapse, Azure Kubernetes and Databricks.
• Familiarity with big data processing tools like Apache Spark or Hadoop.
• Exposure to MLOps tools and practices (e.g., MLflow, Docker, Kubeflow) for model lifecycle management.
• Knowledge of deep learning libraries (TensorFlow, PyTorch) or experience with Generative AI (GenAI) and Large Language Models (LLMs).
• Proficiency with business intelligence and data visualization tools such as Tableau, Power BI, or Plotly.
• Experience working within Agile project delivery methodologies.

Competencies:

·        Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.

·        Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.

·        Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

·        Customer Focus - Building strong customer relationships and delivering customer-centric solutions.

·        Optimizes Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

About the Role:

We are looking for a hands-on Senior Backend Engineer who can own complex product and platform problems end-to-end. You will work across AI agents, workflow orchestration, enterprise integrations, and distributed systems that operate reliably in real-world IT environments.

This role requires strong engineering judgment, product thinking, and the ability to transform ambiguous requirements into scalable, production-ready systems.

Key Responsibilities

• Build the core platform powering agentic IT operations.
• Design reliable multi-step workflows with retries, approvals, rollback mechanisms, and recovery.
• Develop AI pipelines for intent understanding, planning, validation, and execution.
• Build integrations with Microsoft 365, PSA, RMM, and other IT management platforms.
• Design secure, scalable multi-tenant enterprise systems.
• Improve production observability, monitoring, and reliability.
• Own major features from architecture and development through deployment and production support.
• Mentor engineers and contribute to raising the technical standards of the team.

Required Skills & Experience

• 8+ years of experience building backend platforms, distributed systems, or enterprise applications.
• Strong software engineering fundamentals and system design expertise.
• Experience building REST APIs, asynchronous/event-driven systems, databases, and cloud-native applications.
• Strong problem-solving skills with the ability to independently drive solutions in ambiguous environments.
• Excellent debugging, production engineering, and ownership mindset.
• Comfortable using AI coding assistants while independently validating code quality and correctness.

Preferred Technical Stack

Languages & Frameworks

• TypeScript
• Node.js
• Python

Databases & Messaging

• PostgreSQL
• Redis
• Message Queues
• Event-driven architectures

Cloud & Infrastructure

• AWS
• Docker
• Terraform

Enterprise Integrations

• Microsoft Graph API
• Microsoft 365
• OAuth
• Webhooks
• PSA/RMM platforms

AI & Workflow Technologies

• Workflow engines
• State machines
• LLM Agents
• Retrieval-Augmented Generation (RAG)
• AI evaluation frameworks

What We're Looking For

• Strong backend engineering expertise with experience building scalable production systems.
• Deep understanding of distributed systems and platform architecture.
• Ability to own features from design through production.
• Product mindset with strong engineering ownership.
• Excellent collaboration and mentoring skills.

Why Join Neels AI?

• Build the operating layer for the next generation of IT services.
• Work on AI systems that take real-world actions—not just generate text.
• Solve challenging problems across AI, infrastructure, security, and enterprise automation.
• Join at an early stage and influence product direction, architecture, and engineering culture.
• Work directly with experienced founders and global enterprise customers.

JOB DETAILS:

* Job Title: Java Lead-Java, MS, Kafka-TVM - Java (Core & Enterprise), Spring/Micronaut, Kafka

* Industry: Global Digital Transformation Solutions Provider

* Salary: Best in Industry

* Experience: 9 to 12 years

* Location: Trivandrum, Thiruvananthapuram

Job Description

Experience

• 9+ years of experience in Java-based backend application development
• Proven experience building and maintaining enterprise-grade, scalable applications
• Hands-on experience working with microservices and event-driven architectures
• Experience working in Agile and DevOps-driven development environments

Mandatory Skills

• Advanced proficiency in core Java and enterprise Java concepts
• Strong hands-on experience with Spring Framework and/or Micronaut for building scalable backend applications
• Strong expertise in SQL, including database design, query optimization, and performance tuning
• Hands-on experience with PostgreSQL or other relational database management systems
• Strong experience with Kafka or similar event-driven messaging and streaming platforms
• Practical knowledge of CI/CD pipelines using GitLab
• Experience with Jenkins for build automation and deployment processes
• Strong understanding of GitLab for source code management and DevOps workflows

Responsibilities

• Design, develop, and maintain robust, scalable, and high-performance backend solutions
• Develop and deploy microservices using Spring or Micronaut frameworks
• Implement and integrate event-driven systems using Kafka
• Optimize SQL queries and manage PostgreSQL databases for performance and reliability
• Build, implement, and maintain CI/CD pipelines using GitLab and Jenkins
• Collaborate with cross-functional teams including product, QA, and DevOps to deliver high-quality software solutions
• Ensure code quality through best practices, reviews, and automated testing

Good-to-Have Skills

• Strong problem-solving and analytical abilities
• Experience working with Agile development methodologies such as Scrum or Kanban
• Exposure to cloud platforms such as AWS, Azure, or GCP
• Familiarity with containerization and orchestration tools such as Docker or Kubernetes

Skills: java, spring boot, kafka development, cicd, postgresql, gitlab

Must-Haves

Java Backend (9+ years), Spring Framework/Micronaut, SQL/PostgreSQL, Kafka, CI/CD (GitLab/Jenkins)

Advanced proficiency in core Java and enterprise Java concepts

Strong hands-oacn experience with Spring Framework and/or Micronaut for building scalable backend applications

Strong expertise in SQL, including database design, query optimization, and performance tuning

Hands-on experience with PostgreSQL or other relational database management systems

Strong experience with Kafka or similar event-driven messaging and streaming platforms

Practical knowledge of CI/CD pipelines using GitLab

Experience with Jenkins for build automation and deployment processes

Strong understanding of GitLab for source code management and DevOps workflows

*******

Notice period - 0 to 15 days only

Job stability is mandatory

Location: only Trivandrum

F2F Interview on 21st Feb 2026

Key Responsibilities

• Backend & API Engineering (60% Focus)
• Design and implement REST APIs and microservices for high-performance AI systems.
• Apply enterprise object-oriented programming best practices for secure, scalable backend services.
• Integrate AI-powered features with cloud-native architectures.
• Generative AI & LLM Development (40% Focus)
• Build LLM-powered features with the OpenAI API or other LLM APIs (reasoning and non-reasoning models, temperature tuning, version control).
• Implement retrieval-augmented generation (RAG).
• Apply advanced prompt engineering and model tuning techniques for optimized results.
• Deploy and manage solutions using Docker and secure integrations (e.g., SSO, Google Drive).

What We’re Looking For

• 10+ years of backend engineering experience (REST APIs, microservices, OO enterprise architecture).
• 3+ years of experience building AI/ML solutions (LLMs, RAG, OpenAI API).
• Strong hands-on Python expertise and object-oriented design patterns.
• Hands-on experience with Langchain, Lambda, Docker, and secure system integrations.
• Proven track record delivering production-ready, scalable applications.