Sales Engineer / Sr Sales Manager

Strong Lead / Manager - Product Design (UI/UX) Profile

Mandatory (Experience 1): Must have 5+ years of experience in UI/UX design

Mandatory (Experience 2): Must have hands-on experience across the full product design lifecycle — from rapid prototyping through final hand-off — for both web and mobile applications

Mandatory (Experience 3): Must have 1+ year of experience in team leading with managing and overseeing design for high-impact consumer products

Mandatory (Skill 1): Must have exceptional UI skills combined with deep mastery of UX, with demonstrated ability to deliver world-class visual and interaction design across web and mobile platforms

Mandatory (Skill 2): Must have proven expertise in building and evolving scalable design systems and UI patterns that ensure brand parity and consistency across platforms

Mandatory (Skill 3): Must have proficiency in industry-standard tools — Figma, Principle, and Adobe Suite

Mandatory (Stakeholder Management): Must be comfortable partnering directly with C-suite / executive leadership, Product, and Engineering leaders — with the ability to clearly articulate complex design challenges to non-design stakeholders and influence product direction through user-centric logic and data-driven insights

Mandatory (Portfolio): Must have a comprehensive portfolio showcasing elite visual design, design system work, and evidence of leading teams and solving large-scale product problems for consumer products

Mandatory (Education): Must hold a formal degree in Design (HCI, Interaction Design, Visual Communication, or equivalent) from a premier global institution / Tier-1 design college

Mandatory (Company) - B2C product companies

·                    Design, develop, and implement AI/ML models and algorithms.

·                    Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.

·                    Write clean, efficient, and well-documented code.

·                    Collaborate with data engineers to ensure data quality and availability for model training and evaluation.

·                    Work closely with senior team members to understand project requirements and contribute to technical solutions.

·                    Troubleshoot and debug AI/ML models and applications.

·                    Stay up-to-date with the latest advancements in AI/ML.

·                    Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.

·                    Develop and deploy AI solutions on Google Cloud Platform (GCP).

·                    Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.

·                    Utilize Vertex AI for model training, deployment, and management.

·                    Integrate and leverage Google Gemini for specific AI functionalities.

Qualifications:

·                    Bachelor’s degree in computer science, Artificial Intelligence, or a related field.

·                    3+ years of experience in developing and implementing AI/ML models.

·                    Strong programming skills in Python.

·                    Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

·                    Good understanding of machine learning concepts and techniques.

·                    Ability to work independently and as part of a team.

·                    Strong problem-solving skills.

·                    Good communication skills.

·                    Experience with Google Cloud Platform (GCP) is preferred.

·                    Familiarity with Vertex AI is a plus.

Job Description

Site Engineer – Civil Maintenance, Repair, and Operations (MRO) 

Job Summary:​

The Site Engineer for MRO is responsible for assisting in the maintenance, repair, 

and operational activities of civil infrastructure and facilities. This role supports senior 

engineers and maintenance teams to ensure that all civil works are executed efficiently, 

safely, and in compliance with relevant standards. 

Key Responsibilities: 

∙Assist in the inspection and assessment of buildings, roads, drainage systems, and 

other civil structures. 

∙Prepare and maintain maintenance schedules for routine and preventive tasks. 

∙Coordinate with contractors and vendors for repair and maintenance work. 

∙Monitor and ensure the quality and safety of ongoing repair and maintenance 

activities. 

∙Maintain records of repairs, inspections, and material usage. 

∙Assist in budgeting and cost estimation for civil MRO works. 

∙Provide technical support during emergency repairs or structural failures. 

∙Support in the procurement of materials and tools required for civil maintenance. 

∙Ensure compliance with safety and environmental regulations. 

Skills and Qualifications: 

∙Bachelor’s or Diploma in Civil Engineering. 

∙2–3 years of experience in civil maintenance or construction (internships count). 

∙Familiarity with construction materials, repair techniques, and building codes. 

∙Proficient in AutoCAD, MS Office, and project management tools. 

∙Good communication and reporting skills. 

∙Willingness to work on-site and respond to emergency repair calls.

1. Manage and support LAN/WAN infrastructure including routers, switches, firewalls, and load balancers.

2. Monitor network performance and ensure system availability and reliability.

3. Troubleshoot network issues and outages.

4. Implement security tools, policies, and procedures.

5. Maintain documentation of configurations, diagrams, and procedures.

1. Strong hands-on experience with Cisco, Juniper, or similar network equipment.

2. Familiarity with network monitoring tools (e.g.. SolarWinds, Wireshark).

3. Basic understanding of firewall and VPN configurations.

4. CCNA or equivalent certification preferred.

Python Developer

6-8 Years

Mumbai

N.p only immediate or who is serving LwD is 1st week of july.

• Python knowledge: object-oriented programming: inheritance, abstract classes, dataclass, dependency injection, design patterns: comand-query, repository, adapter, hexagonal architecture, swagger/Open API, flask, connexion
• Experience on AWS services: lambda, ecs, sqs, s3, dynamodb, auroradb
• Experience with following libraries boto3, behave, pytest, moto, localstack, docker
• Basic knowledge about terraform, gitlab ci
• Experience with SQL DB