3d modeler

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

React Native Developer

  - Experience: 3-5 years

  - Industry experience: IT, preferably service-based

  - Budget: 6-8 LPA

  - Openings: 1 Opening

Expertise in JavaScript.

Experience with React Native.

Ability to work in collaborative team environment.

Solid understanding of asynchronous programming, ES6, closures, and types.

Be autonomous and self-driven.

We are seeking a highly skilled and experienced Senior Flutter Consultant to join our team. As a Senior Flutter Consultant, you will play a critical role in developing innovative and user-friendly mobile applications for our clients. You will collaborate with cross-functional teams, including designers, developers, and project managers, to deliver high-quality solutions that meet our clients' business objectives.

Responsibilities:

1. Develop and maintain Flutter applications for iOS and Android platforms.
2. Collaborate with designers and developers to translate wireframes and UI designs into fully functional mobile applications.
3. Provide technical expertise and guidance to the development team regarding best practices for Flutter application development.
4. Write clean, efficient, and maintainable code that adheres to industry standards and project requirements.
5. Conduct code reviews and provide constructive feedback to ensure code quality and performance optimization.
6. Troubleshoot and debug issues, identify bottlenecks, and propose effective solutions to technical challenges.
7. Stay updated with the latest trends and advancements in the Flutter framework and mobile app development.
8. Mentor and coach junior developers, sharing knowledge and promoting a culture of continuous learning and improvement.
9. Collaborate with project managers and clients to understand their requirements, provide technical insights, and deliver solutions within the agreed timelines.
10. Participate in Agile/Scrum development processes, including sprint planning, backlog grooming, and daily stand-ups.

Requirements:

1. Bachelor's degree in Computer Science, Engineering, or a related field.
2. Minimum 3 years of professional experience in mobile application development, with at least 2 years of hands-on experience with Flutter.
3. Strong proficiency in Dart programming language and Flutter framework.
4. Extensive experience in building and deploying mobile applications on both iOS and Android platforms.
5. Solid understanding of software development principles, including object-oriented programming, design patterns, and architectural best practices.
6. Experience with RESTful APIs, third-party integrations, and asynchronous programming.
7. Knowledge of version control systems (e.g., Git) and experience with collaborative development workflows (e.g., GitFlow).
8. Familiarity with mobile app testing frameworks and tools, such as Flutter testing framework, XCTest, and Espresso.
9. Excellent problem-solving and debugging skills, with the ability to analyze complex issues and propose effective solutions.
10. Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and clients.
11. Experience working in an Agile/Scrum development environment.
12. Proven ability to meet deadlines and deliver high-quality work in a fast-paced, dynamic environment.

Preferred Qualifications:

1. Experience with hybrid app development frameworks (e.g., React Native) is a plus.
2. Knowledge of backend technologies, such as Node.js or Firebase, for building APIs and integrating with databases.
3. Contributions to open-source projects or personal Flutter app projects.
4. Certifications related to mobile app development or Flutter.

Join our team and contribute to the development of cutting-edge mobile applications using Flutter. As a Senior Flutter Consultant, you will have the opportunity to work on diverse projects, leverage your expertise, and make a significant impact on our clients' businesses.

Requirements

• 2+ years of experience with one of the top frontend frameworks - React (preferred)/ Angular / Vue
• Solid understanding of modern CSS methodologies like SCSS, SASS
• Exposure to latest developments in UI development like PWA, Single Page Apps, Hybrid Apps, Responsive web design etc
• Working knowledge of RESTful APIs, HTTP 2, Socket Connections
• Deep understanding of Javascript topics including the V8 Engine, Async, Memory Management, Duplex Communication.
• Experienced in Unit / Integration / Visual Testing.
• Ability to develop pixel-perfect web pages from designs
• Prior startup experience is a plus

Job Description :

We are looking for an iOS developer responsible for the development and maintenance of applications aimed at a range of iOS devices including mobile phones and ipads. Your primary focus will be development of iOS applications and their integration with back-end services. You will be working alongside other engineers and developers working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and the creation of quality products is essential.

Responsibilities :

• Design and build applications for the iOS platform
• Ensure the performance, quality, and responsiveness of applications
• Collaborate with a team to define, design, and ship new features
• Identify and correct bottlenecks and fix bugs
• Help maintain code quality, organization, and stigmatization.

Skills :

• Should have knowledge of UI(storyboard,xibs,autolayouts).
• API implementation.
• Swift programming language.