Presales

MUST-HAVES: 

• Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
• Notice period - 0 to 15 days only 
• Hybrid work mode- 3 days office, 2 days at home

SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS

ADDITIONAL GUIDELINES:

• Interview process: - 2 Technical round + 1 Client round
• 3 days in office, Hybrid model. 

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, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (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 Sage maker 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)

📢 WE ARE HIRING — Logistics Executive

📍 Location: Amritsar

🧑‍💼 Employment Type: Full-Time

📅 Experience: 6+ Years

**📘 About the Role

We are seeking a proactive and experienced Logistics Executive to join our Commercial Operations team. The ideal candidate will have strong knowledge in freight logistics, international shipping, documentation, and shipment coordination. This role involves managing daily logistics operations, negotiating freight rates, handling documentation, tracking shipments, and coordinating between various stakeholders to ensure timely delivery and compliance.

🛠 Key Responsibilities

Logistics & Operations (Primary Duties):

• Update and communicate daily freight rates to the team.
• Negotiate competitive ocean freight rates and prepare quotations.
• Arrange vessel and container bookings and monitor shipments.
• Track export documentation and coordinate with forwarders and CHA.
• Maintain shipment status updates and prepare MIS reports.
• Monitor container stuffing and movement until delivery.
• Coordinate with accounts, vendors, and third-party agencies for invoicing and shipment releases.
• Handle troubleshooting and logistics-related challenges. V

Reporting & Administration:

• Maintain accurate documentation, filing, and records of all logistics activities.
• Prepare periodic logistics reports and support audit requirements.

Ad-hoc & Strategic Activities:

• Support creation and revision of Standard Operating Procedures (SOPs).
• Assist reporting managers/directors with special logistics projects.
• Participate in vendor and forwarder meetings as needed.

🎯 Qualifications & Requirements

• Education: Any Graduate / Diploma.
• Experience: Minimum 3 years in logistics, preferably with shipping lines, freight forwarders, or CHAs.
• Advanced proficiency in MS Excel and MS Office.
• Strong communication, time-management, and reporting skills.
• Excellent documentation and correspondence abilities.
• Ability to work collaboratively and deliver timely reports. Velvet Jobs
• 
  

Key Responsibilities

• Perform finishing, polishing, and installation of wooden furniture and fittings

• Work on doors, wardrobes, cabinets, wall cladding, and decorative woodwork

• Read and interpret technical drawings and site measurements

• Use hand tools and machinery to achieve smooth finishes and precise joints

• Inspect materials for quality and accuracy before and after finishing

• Coordinate with site supervisors and project engineers to ensure timely delivery

Job Summary

Talentvibes Solutions is seeking a dynamic and motivated Recruiter to join our growing team in Jaipur. The ideal candidate will have at least 3 years of experience in full-cycle recruitment across various channels and industries. This role requires a proactive individual with excellent communication skills and the ability to manage multiple hiring needs in a fast-paced environment. The Recruiter will play a key role in sourcing top talent and supporting our client companies in building strong teams.

Key Responsibilities

• Source and attract candidates through job boards, social media, employee referrals, and networking.
• Screen resumes and conduct initial candidate assessments to evaluate qualifications and fit.
• Coordinate and schedule interviews between candidates and hiring managers.
• Develop and maintain a pipeline of qualified candidates for current and future openings.
• Write clear and compelling job descriptions and post on relevant platforms.
• Maintain a strong candidate experience through timely and professional communication.
• Collaborate with hiring managers to understand position requirements and hiring goals.
• Participate in job fairs and recruitment events to build the company’s talent network.
• Track and report recruitment metrics such as time-to-fill and source effectiveness.
• Support onboarding processes and maintain recruitment documentation and databases.

Must-Have Skills & Qualifications

• Minimum 3 years of experience as a Recruiter, preferably in IT or related sectors.
• Proven track record of sourcing and hiring high-quality candidates.
• Strong knowledge of recruitment tools, job boards, and applicant tracking systems.
• Excellent communication, interviewing, and negotiation skills.
• Ability to work independently and manage multiple priorities in a fast-paced setting.
• Strong interpersonal skills and ability to build relationships with candidates and clients.
• Familiarity with labor laws and compliance is a plus.
• Bachelor’s degree in HR, Business Administration, or related field preferred.

Why Join Talentvibes Solutions?

• Opportunity to work with a vibrant and growing talent acquisition company.
• Exposure to diverse industries and roles.
• Competitive salary and benefits.
• Supportive team environment and career growth opportunities.
• 
  

Job Description: Principal Engineer (Full Stack Architect)

Job Title: Full Stack Architect

Location: Hyderabad, India

Experience: 15Years to 20 years (4+ years in Enterprise Architecture)

Technology Stack: MERN (MongoDB, Express, React, Node.js), Distributed Systems, Cloud (GCP/Azure), Neo4j, Vector Databases, SQL and NoSQL Databases, Knowledge Graphs.

Industry: Enterprise Software, Large-Scale Distributed Systems, Machine Learning

Job Summary

As a Full Stack Architect, you will play a pivotal role in designing and architecting large-scale distributed systems with a strong focus on the MERN stack (MongoDB, Express.js, React, Node.js). You will lead the design and implementation of enterprise-grade software solutions that leverage cloud infrastructure (GCP/Azure), knowledge graphs (Neo4j), vector databases, and machine learning at scale. In this role, you will work closely with cross-functional teams including data scientists, cloud engineers, and front-end developers to deliver high-performance, secure, and scalable applications.

This role requires a deep understanding of distributed systems architecture, graph databases, machine learning systems, and cloud computing, with a strong focus on building solutions that meet business and technical needs. The ideal candidate will have 12+ years of experience with a proven track record of architecting full-stack systems and leading engineering teams in a fast-paced, innovative environment.

Roles and Responsibilities

Full Stack Architecture: Design, develop, and maintain highly scalable, distributed, and fault-tolerant enterprise applications using the MERN stack (MongoDB, Express.js,

React, Node.js).

Distributed Systems: Architect and design large-scale distributed systems that handle high- volume, low-latency data processing.

Cloud Engineering: Implement and maintain cloud infrastructure solutions on GCP or AWS,ensuring high availability, scalability, and performance.

Knowledge Graphs and Databases: Design and optimize complex data models using Neo4j, vector databases, and other NoSQL solutions to manage interconnected data efficiently.

Enterprise Solutions: Architect and deliver cloud-native enterprise software solutions that meet enterprise-grade security, compliance, and performance requirements.

Data Structure & Algorithms (DSA): Lead by example in writing efficient, high-performance code and optimize software with a strong focus on algorithms, data structures, and system design principles.

Collaboration: Work with engineering, data science, and product teams to translate business requirements into scalable technical solutions.

Mentorship: Mentor junior engineers and foster a collaborative team environment.

Performance Optimization: Ensure system performance, scalability, and reliability throughcode reviews, optimizations, and best engineering practices.

Documentation & Best Practices: Maintain comprehensive architecture documentation and promote engineering best practices across teams.

Mandatory Requirements

Experience: 12+ years of full-stack development experience, with significant expertise

in building and architecting applications using the MERN stack (MongoDB, Express.js,

React, Node.js).

 Distributed Systems: Proven track record of architecting and implementing large-scale

distributed systems with a focus on reliability, scalability, and performance.

 Cloud Expertise: Extensive hands-on experience with cloud infrastructure (GCP or AWS),

with a deep understanding of cloud services such as compute, storage, networking, and

security.

 Database Systems: Expertise in NoSQL databases like MongoDB and graph databases like

Neo4j. Experience with vector databases for high-dimensional data processing.

 Knowledge Graphs: Hands-on experience in designing and working with knowledge graphs

for solving complex data relationships.

 Data Structures & Algorithms: Strong knowledge of DSA with practical experience in

solving complex technical challenges.

 Microservices Architecture: Experience in designing and developing microservices-based

architectures and ensuring high availability.

 DevOps ; Automation: Knowledge of DevOps practices (CI/CD), containerization (Docker), and orchestration (Kubernetes).

 Agile Methodologies: Experience with Agile development methodologies, including SCRUM, TDD, and iterative development.

Nice-to-Have Requirements

 Front-End Expertise: Advanced experience with React.js, with knowledge of modern front- end technologies (Next.js, Redux, TypeScript).

 Cloud Certifications: Google Cloud Professional Architect or Azure Certified Solutions Architect certifications.

 Data Engineering: Hands-on experience with data pipelines, ETL processes, and big data technologies (e.g., Apache Spark, Kafka).

 AI/ML Ops: Experience in deploying machine learning models using MLOps frameworks and automating ML pipelines.

 Graph Analytics: Experience in graph algorithms and analytics, with the ability to model and query complex relationships in a graph database.

 System Design: Experience in conducting system design reviews, providing insights into performance bottlenecks, scalability, and trade-offs.

 Security & Compliance: Knowledge of enterprise-level security protocols and data privacy compliance frameworks (e.g., SOC2, GDPR).

Leadership: Proven experience in leading cross-functional teams, setting technical roadmaps, and ensuring alignment between business and technical goals.

• Graduate degree with a strong academic performance from a top tier university
• You can think in terms of the big picture but deliver on the details
• You have an instinct for great product design and are an advocate for new features with qualitative and quantitative reasoning
• You do whatever it takes to make your product and team successful, whether that means writing a testing plan, analyzing large data sets, or hunting down the root cause of a user’s frustration
• You can turn incomplete, conflicting, or ambiguous inputs into solid action plans
• You communicate with empathy, precision, and clarity
• You are technical enough to ask engineers good questions about architecture and product decisions alike
• Beyond just shipping new products, you obsess about continuous product improvement
• While we generally value attitude over skills, we expect that you’ve spent at least five years in a fast-paced product management role

What you will be doing:

• Grow an efficient, collaborative team of data scientists, data engineers, and BI developers by hiring, coaching, mentoring, and sharing feedback that preserves company culture and values
• Prioritize work for your team, making rational tradeoffs on priorities based on business constraints, ensuring on-time deliverables and high-quality solutions
• Working with our Engineering teams to improve and advance our development practices based on a data-driven and analytical approach
• Collaborate and maintain a high level of interaction and cooperation with technical and non-technical stakeholders across Gelato
• Partner closely with our product team and stakeholders to improve planning and prioritization
• Drive the analytics and data science roadmap in Gelato
• Work in European time zones
• Who you are

We are seeking a lead Python Developer to lead the backend efforts and, in the process design, develop, and deploy its customer centric applications.

The person will have the opportunity to design and build an early stage, rapidly evolving platform from scratch and carry out these primary responsibilities -

Optimize components for maximum performance across multiple devices and browsers

Write performant REST APIs for both internal and external consumption

Build micro services and their deployment process

Work with problems of scale, leveraging technologies that are distributed in nature.

Perform code reviews

Required qualifications and must have skills

Excellent analytical and problem-solving skills

Proven-deep-expertise with Python programming (4+ years of hands-on experience in Python and backend development)

Building performant and scalable applications from scratch

Experience in working with frameworks like Django, Flask, etc.

Experience with building APIs and services using REST, SOAP, etc.

Experience with any RDBMS and strong SQL knowledge

Comfortable with Unix / Linux command line

Object-oriented concepts & design patterns

Sytem and database desinging skills

Nice to have Skills

Knowledge of other programming languages beyond Python

Familiarity with managing infrastructure on AWS/GCloud

Experience with working with/building data analytics pipleline

Familiarity with NoSQL databases

Good understanding of Docker and container platforms like Mesos and Kubernetes

Security-first architecture approach

Application benchmarking and optimization

Interpersonal Attributes

You are driven by the impact your work creates

You can answer the why behind any technological choice you make

You can work independently as well as part of a team