We are seeking a proactive and technically strong Project Manager – Engineering who can lead engineering project execution, coordinate with clients and internal teams, and ensure timely delivery of high-quality technical solutions. This role is ideal for someone who can balance project management, engineering understanding, client handling, and team coordination effectively.

The candidate will be responsible for managing complete project lifecycles — from planning and execution to delivery, revisions, and client closure.

Work Distribution

70% Project Management + Client Coordination
30% Technical Understanding + Engineering Review

Key Responsibilities

Project Planning & Execution

Plan complete project execution timelines, milestones, and deliverables.
Allocate resources, monitor workloads, and ensure smooth project flow.
Conduct project kick-off meetings, strategy discussions, and execution planning with teams.
Identify project risks, dependencies, and bottlenecks proactively.
Track project progress and ensure on-time delivery of all tasks.
Maintain project documentation, trackers, schedules, and execution reports.

Team Management & Coordination

Coordinate between design, animation, rendering, and execution teams.
Assign responsibilities, monitor outputs, and ensure accountability.
Conduct review meetings, follow-ups, and action closure discussions.
Ensure cross-functional communication for smooth execution.
Drive productivity, ownership, and execution discipline within teams.

Client Communication & Stakeholder Management

Act as the primary point of contact for clients during project execution.
Conduct project update meetings, requirement discussions, and approval calls.
Handle client escalations, feedback, revisions, and expectation management.
Prepare professional MOMs (Minutes of Meeting), project summaries, and status reports.
Build strong client relationships through proactive communication and execution transparency.

Technical & Engineering Oversight

Review engineering deliverables and ensure alignment with client requirements.
Coordinate with design teams working on SolidWorks models and technical visualizations.
Support technical planning for animations, engineering presentations, and process workflows.
Understand machine mechanisms, engineering concepts, and execution requirements for smooth coordination.

Quality, Reporting & Delivery Management

Ensure project quality standards and execution processes are maintained.
Manage revision cycles and ensure timely closure of feedback loops.
Plan render schedules, delivery priorities, and execution timelines.
Track project KPIs, team performance, and delivery efficiency.
Support reporting and operational review processes.

Requirements

BE / BTech / Diploma in Mechanical, Production, or related Engineering field.
Experience in Project Management, Engineering Coordination, or Design Engineering roles.
Strong understanding of engineering workflows and project execution processes.
Basic understanding of SolidWorks and technical design workflows preferred.
Excellent communication, leadership, and stakeholder management skills.
Strong planning, follow-up, and multitasking abilities.
Ability to manage multiple projects, teams, and deadlines simultaneously.
Experience handling client communication and execution management preferred.

Preferred Skills

Team handling and leadership capability
Strong problem-solving and decision-making skills
Project tracking and reporting expertise
Technical understanding of mechanical systems and engineering concepts
Process-oriented mindset with strong ownership attitude

Ideal Candidate

Strong coordinator with engineering understanding
Able to manage pressure, timelines, and client expectations
Execution-focused with high accountability
Comfortable handling both people management and technical discussions
Looking for long-term growth in engineering project management

Role Overview

The candidate will be responsible for managing complete project lifecycles — from planning and execution to delivery, revisions, and client closure.

Work Distribution

70% Project Management + Client Coordination
30% Technical Understanding + Engineering Review

Key Responsibilities

Project Planning & Execution

Plan complete project execution timelines, milestones, and deliverables.
Allocate resources, monitor workloads, and ensure smooth project flow.
Conduct project kick-off meetings, strategy discussions, and execution planning with teams.
Identify project risks, dependencies, and bottlenecks proactively.
Track project progress and ensure on-time delivery of all tasks.
Maintain project documentation, trackers, schedules, and execution reports.

Team Management & Coordination

Coordinate between design, animation, rendering, and execution teams.
Assign responsibilities, monitor outputs, and ensure accountability.
Conduct review meetings, follow-ups, and action closure discussions.
Ensure cross-functional communication for smooth execution.
Drive productivity, ownership, and execution discipline within teams.

Client Communication & Stakeholder Management

Act as the primary point of contact for clients during project execution.
Conduct project update meetings, requirement discussions, and approval calls.
Handle client escalations, feedback, revisions, and expectation management.
Prepare professional MOMs (Minutes of Meeting), project summaries, and status reports.
Build strong client relationships through proactive communication and execution transparency.

Technical & Engineering Oversight

Review engineering deliverables and ensure alignment with client requirements.
Coordinate with design teams working on SolidWorks models and technical visualizations.
Support technical planning for animations, engineering presentations, and process workflows.
Understand machine mechanisms, engineering concepts, and execution requirements for smooth coordination.

Quality, Reporting & Delivery Management

Ensure project quality standards and execution processes are maintained.
Manage revision cycles and ensure timely closure of feedback loops.
Plan render schedules, delivery priorities, and execution timelines.
Track project KPIs, team performance, and delivery efficiency.
Support reporting and operational review processes.

Requirements

BE / BTech / Diploma in Mechanical, Production, or related Engineering field.
Experience in Project Management, Engineering Coordination, or Design Engineering roles.
Strong understanding of engineering workflows and project execution processes.
Basic understanding of SolidWorks and technical design workflows preferred.
Excellent communication, leadership, and stakeholder management skills.
Strong planning, follow-up, and multitasking abilities.
Ability to manage multiple projects, teams, and deadlines simultaneously.
Experience handling client communication and execution management preferred.

Preferred Skills

Team handling and leadership capability
Strong problem-solving and decision-making skills
Project tracking and reporting expertise
Technical understanding of mechanical systems and engineering concepts
Process-oriented mindset with strong ownership attitude

Ideal Candidate

Strong coordinator with engineering understanding
Able to manage pressure, timelines, and client expectations
Execution-focused with high accountability
Comfortable handling both people management and technical discussions
Looking for long-term growth in engineering project management

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

Shubham Vishwakarma

Full Stack Developer - Averlon

I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.

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About Prolific 3D Tech

Founded :

2016

Type :

Services

Size :

0-20

Stage :

Bootstrapped

About

Prolific 3D Tech avails services to Mfg sector providing Photo Rendering & Videos like Process Animation,Motion Animation & Walkthroughs

Company social profiles

N/A

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Senior AI/ML Engineer

at Aaizel International Technologies Pvt Ltd

1 candid answer

Posted by Smriti Baraily

Gurugram

2 - 7 yrs

₹7L - ₹15L / yr

Python

Deep Learning

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Large Language Models (LLM)

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+8 more

Job Title: Senior AI/ML Engineer/Team Lead

Location: Gurugram, Haryana

Employment Type: Full-Time

Experience: 4-9 Years

CTC: Up to 15LPA

About Aaizel Tech

Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As a growing startup, we are looking for passionate and versatile professionals eager to work on cutting-edge projects in a dynamic environment.

Role Overview

As a Senior AI/ML Engineer at Aaizel Tech, you will lead the design, development, and deployment of advanced Machine Learning models and AI solutions. You will work on projects ranging from predictive analytics and NLP to computer vision and anomaly detection. You will also mentor a team of AI/ML professionals, collaborate with cross-functional teams, and drive innovation by integrating state-of-the-art research with scalable production systems.

Key Responsibilities

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Design & Implementation:

Architect and develop end-to-end ML solutions for applications such as predictive analytics, anomaly detection, computer vision, and NLP.
Utilize advanced techniques including deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) to address complex challenges.

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Conduct research on state-of-the-art ML techniques including Transfer Learning, Transformer models, and AutoML to enhance model performance.
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Develop proof-of-concept models and prototypes to validate new approaches before production deployment.

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Work with cloud platforms (AWS, Azure, GCP) and model serving solutions (TensorFlow Serving, ONNX, TorchServe) for high-throughput inference.

MLOps & Lifecycle Management:

Implement CI/CD pipelines for ML models, ensuring seamless updates and versioning.
Develop monitoring dashboards (using Prometheus, Grafana) to track model performance and trigger retraining based on real-time feedback.

5. Collaboration & Leadership

Cross-Functional Teamwork:

Collaborate closely with data engineers, software developers, domain experts, and product managers to integrate AI solutions into end-to-end products.

Mentorship & Code Quality:

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Recommended Technology Stack

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Python (Django/FastAPI): Ideal for API integration, leveraging Python’s rich AI/ML ecosystem.

AI/ML Frameworks:

PyTorch + Hugging Face Transformers + scikit-learn: For flexibility in research, multilingual NLP tasks, and classical ML pipelines.

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PostgreSQL with TimescaleDB extension: For structured and time-series data storage.

DevOps & Monitoring:

Docker, Kubernetes, GitLab CI/CD, Prometheus/Grafana: For containerized deployments, continuous integration, and comprehensive monitoring.

Media Processing:

OpenCV, FFmpeg, Tesseract OCR, Wav2Vec2: To support image, video, and speech-to-text processing where needed.

Required Skills & Qualifications

Technical Expertise:

Experience:
4+ years in Machine Learning, AI research, or a related field with a proven track record of delivering production-level AI solutions.
Programming & Frameworks:
Expertise in Python and hands-on experience with frameworks like PyTorch, TensorFlow, and scikit-learn.
Experience with Hugging Face Transformers for NLP applications.
Data Engineering:
Proficiency in building data pipelines using Pandas, NumPy, PySpark, and integrating data from diverse sources.
Familiarity with big data platforms and real-time data processing frameworks.
Model Deployment & MLOps:
Hands-on experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.
Experience with cloud deployment and model serving solutions.
Research & Innovation:
Demonstrated ability to apply advanced ML techniques (deep learning, transfer learning, reinforcement learning) to solve real-world problems.
Testing & Optimization:
Strong background in model evaluation, hyperparameter tuning, and performance optimization.

Soft Skills:

Exceptional problem-solving and analytical abilities.
Strong communication skills, with the ability to present complex technical concepts to diverse stakeholders.
Leadership and mentoring experience, with a collaborative approach to working in cross-functional teams.
Ability to thrive in a fast-paced, dynamic environment and drive continuous innovation.

Educational Background:

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field from a reputed institution.

What We Offer

Innovative Projects: Engage in cutting-edge AI/ML projects that influence product strategy and technological innovation.
Professional Growth: Opportunities for continuous learning, mentorship, and career advancement.
Collaborative Culture: Work within a diverse team of experts passionate about pushing the boundaries of technology.
Impactful Work: Play a key role in shaping AI-driven solutions and driving real-world impact.

Join Aaizel Tech as a Senior AI/ML Engineer and lead the development of innovative, scalable AI solutions that transform industries and drive digital excellence!

Job Title: Senior AI/ML Engineer/Team Lead

Location: Gurugram, Haryana

Employment Type: Full-Time

Experience: 4-9 Years

CTC: Up to 15LPA

About Aaizel Tech

Role Overview

Key Responsibilities

1. Model Development & Optimization

Design & Implementation:

Architect and develop end-to-end ML solutions for applications such as predictive analytics, anomaly detection, computer vision, and NLP.
Utilize advanced techniques including deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) to address complex challenges.

Optimization:

Fine-tune model parameters using techniques such as hyperparameter tuning (Grid Search, Bayesian Optimization, Neural Architecture Search).
Optimize models for both accuracy and inference speed to meet real-time processing requirements.

2. Advanced Data Engineering & Integration

Data Pipeline Development:

Build robust ETL pipelines using libraries like Pandas, NumPy, and PySpark to process large-scale datasets from satellite imagery, IoT sensors, and real-time streams.
Integrate data from diverse sources (APIs, databases, big data platforms like Hadoop and Apache Kafka) to support real-time analytics.

Data Quality & Preprocessing:

Implement data cleansing, feature engineering, and transformation pipelines to ensure high-quality inputs for ML models.

3. Research & Innovation

Algorithm Research:

Conduct research on state-of-the-art ML techniques including Transfer Learning, Transformer models, and AutoML to enhance model performance.
Innovate new algorithms for specialized tasks such as geospatial analysis, environmental modeling, or cybersecurity threat detection.

Prototyping & Experimentation:

Develop proof-of-concept models and prototypes to validate new approaches before production deployment.

4. Deployment, MLOps & Performance Monitoring

Model Deployment:

Deploy models using containerization (Docker) and orchestration tools (Kubernetes) to ensure scalable and efficient production environments.
Work with cloud platforms (AWS, Azure, GCP) and model serving solutions (TensorFlow Serving, ONNX, TorchServe) for high-throughput inference.

MLOps & Lifecycle Management:

Implement CI/CD pipelines for ML models, ensuring seamless updates and versioning.
Develop monitoring dashboards (using Prometheus, Grafana) to track model performance and trigger retraining based on real-time feedback.

5. Collaboration & Leadership

Cross-Functional Teamwork:

Collaborate closely with data engineers, software developers, domain experts, and product managers to integrate AI solutions into end-to-end products.

Mentorship & Code Quality:

Provide technical leadership and mentorship to junior AI/ML engineers, ensuring adherence to coding standards and best practices.
Participate in code reviews, maintain detailed documentation, and foster a culture of continuous learning.

Recommended Technology Stack

Backend Framework:

Python (Django/FastAPI): Ideal for API integration, leveraging Python’s rich AI/ML ecosystem.

AI/ML Frameworks:

PyTorch + Hugging Face Transformers + scikit-learn: For flexibility in research, multilingual NLP tasks, and classical ML pipelines.

Data Engineering:

Apache Kafka + Apache Spark + Apache NiFi: To handle both real-time data streaming and batch processing.

Database & Storage:

PostgreSQL with TimescaleDB extension: For structured and time-series data storage.

DevOps & Monitoring:

Docker, Kubernetes, GitLab CI/CD, Prometheus/Grafana: For containerized deployments, continuous integration, and comprehensive monitoring.

Media Processing:

OpenCV, FFmpeg, Tesseract OCR, Wav2Vec2: To support image, video, and speech-to-text processing where needed.

Required Skills & Qualifications

Technical Expertise:

Experience:
4+ years in Machine Learning, AI research, or a related field with a proven track record of delivering production-level AI solutions.
Programming & Frameworks:
Expertise in Python and hands-on experience with frameworks like PyTorch, TensorFlow, and scikit-learn.
Experience with Hugging Face Transformers for NLP applications.
Data Engineering:
Proficiency in building data pipelines using Pandas, NumPy, PySpark, and integrating data from diverse sources.
Familiarity with big data platforms and real-time data processing frameworks.
Model Deployment & MLOps:
Hands-on experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.
Experience with cloud deployment and model serving solutions.
Research & Innovation:
Demonstrated ability to apply advanced ML techniques (deep learning, transfer learning, reinforcement learning) to solve real-world problems.
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Strong background in model evaluation, hyperparameter tuning, and performance optimization.

Soft Skills:

Exceptional problem-solving and analytical abilities.
Strong communication skills, with the ability to present complex technical concepts to diverse stakeholders.
Leadership and mentoring experience, with a collaborative approach to working in cross-functional teams.
Ability to thrive in a fast-paced, dynamic environment and drive continuous innovation.

Educational Background:

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field from a reputed institution.

What We Offer

Innovative Projects: Engage in cutting-edge AI/ML projects that influence product strategy and technological innovation.
Professional Growth: Opportunities for continuous learning, mentorship, and career advancement.
Collaborative Culture: Work within a diverse team of experts passionate about pushing the boundaries of technology.
Impactful Work: Play a key role in shaping AI-driven solutions and driving real-world impact.

Join Aaizel Tech as a Senior AI/ML Engineer and lead the development of innovative, scalable AI solutions that transform industries and drive digital excellence!

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· Strong problem-solving skills, with the ability to think creatively and come up with innovative solutions.

· Proficiency with design tools such as Sketch, Adobe Creative Suite, Figma, or similar.

· Knowledge of HTML/CSS and front-end development is a plus.

· Bachelor's degree in design, human-computer interaction, or related field is preferred.

If you are a self-motivated, detail-oriented, and experienced UI/UX designer who is passionate about creating innovative digital products and services, we encourage you to apply for this position.

Senior UI/UX Designer

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· Lead the design of our company's digital products and services, ensuring that they meet user needs and business goals.

· Collaborate with cross-functional teams to gather requirements, define user personas, and create user flows and wireframes.

· Create high-fidelity mockups and prototypes to demonstrate design concepts and interactions.

· Conduct user research and usability testing to validate design decisions and identify areas for improvement.

· Work with developers to ensure that designs are implemented to spec and delivered on time.

· Stay up-to-date with the latest design trends and technologies, and share your knowledge with the team.

· Mentor and train junior designers.

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· At least 5 years of experience in UI/UX design, with a strong portfolio of work that demonstrates your skills.

· Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

· Strong problem-solving skills, with the ability to think creatively and come up with innovative solutions.

· Proficiency with design tools such as Sketch, Adobe Creative Suite, Figma, or similar.

· Knowledge of HTML/CSS and front-end development is a plus.

· Bachelor's degree in design, human-computer interaction, or related field is preferred.

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Email Marketing

Presales

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. Provide regular reports on sales activities, pipeline status, and market trends to the management team.

Responsibilities:=

Identify and target potential clients within the IT industry through research, networking, and utilizing LinkedInSales Navigator.
Conduct outbound cold calls and emails to prospects, effectively communicating our company's products and services to generate new business opportunities.
Develop and maintain a pipeline of qualified leads through proactive lead generation techniques, including but not limited to cold calling, email campaigns, and social media outreach.
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Build and maintain strong relationships with clients and prospects, ensuring high levels of customer satisfaction and repeat business.
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5 recruiters

Posted by Sarvari Juneja

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Spark

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Internshala is a dot com business with the heart of dot org.

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A chance to build and lead an awesome team working on one of the best recruitment and online trainings products in the world that impact millions of lives for the better
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💯 You fit the bill if-

You have the zeal to build something from scratch
You have experience in Data engineering and infrastructure work for analytical and machine learning processes.
You have experience in a Linux environment and familiarity with writing shell scripts using Python or any other scripting language
You have 3-5 years of experience as a Data Engineer or similar software engineering role

Internshala is a dot com business with the heart of dot org.

At Internshala, we are making this dream a reality!

👩🏻‍💻 Your responsibilities would include-

Designing, implementing, testing, deploying, and maintaining stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into our central data warehouse, and moving data out to applications and affiliates
Developing analytical tools and programs that can help in Analyzing and organizing raw data
Evaluating business needs and objectives
Conducting complex data analysis and report on results
Collaborating with data scientists and architects on several projects
Maintaining reliability of the system and being on-call for mission-critical systems
Performing infrastructure cost analysis and optimization
Generating architecture recommendations and the ability to implement them
Designing, building, and maintaining data architecture and warehousing using AWS services.
ETL optimization, designing, coding, and tuning big data processes using Apache Spark, R, Python, C#, and/or similar technologies.
Disaster recovery planning and implementation when it comes to ETL and data-related services
Define actionable KPIs and configure monitoring/alerting

🍒 You will get-

A chance to build and lead an awesome team working on one of the best recruitment and online trainings products in the world that impact millions of lives for the better
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💯 You fit the bill if-

You have the zeal to build something from scratch
You have experience in Data engineering and infrastructure work for analytical and machine learning processes.
You have experience in a Linux environment and familiarity with writing shell scripts using Python or any other scripting language
You have 3-5 years of experience as a Data Engineer or similar software engineering role

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at Pragyaware Informatics Private Limited

1 recruiter

Posted by Sakshi Malik

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Resource: Content Manager

Location: Mumbai(On-site)

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Certification / Knowledge :

Should be proficient in all of the following languages : English, Hindi and Marathi
Exposure to content management for Government websites preferred.

Resource: Content Manager

Location: Mumbai(On-site)

Qualification: BA/MA(English)/Degree in Mass Communication/Bachelor's degree in Engineering

No. of years of Experience: Min. 2 years experience in Website maintenance and Content Management

Certification / Knowledge :

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● At least 1 Year of Laravel, PHP experience is a must

● HTML 5, CSS 3, JavaScript, jQuery, Bootstrap

● Understanding of MVC design patterns

● At least 1 Year of Laravel, PHP experience is a must

● HTML 5, CSS 3, JavaScript, jQuery, Bootstrap

Senior Backend Engineer

at Artivatic

1 video

3 recruiters

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Bengaluru (Bangalore)

4 - 10 yrs

₹8L - ₹20L / yr

Python

Java

Machine Learning (ML)

Data Science

Scala

+3 more

About Artivatic : Artivatic is a technology startup that uses AI/ML/Deep learning to build intelligent products & solutions for finance, healthcare & insurance businesses. It is based out of Bangalore with 25+ team focus on technology. The artivatic building is cutting edge solutions to enable 750 Millions plus people to get insurance, financial access, and health benefits with alternative data sources to increase their productivity, efficiency, automation power, and profitability, hence improving their way of doing business more intelligently & seamlessly. Skills : - Building server-side logic that powers our APIs, in effect deploying machine learning models in production system that can scale to billions of API calls - Scaling and performance tuning of database to handle billions of API calls and thousands of concurrent requests - Collaborate with data science team to build effective solutions for data collection, pre-processing and integrating machine learning into the workflow - Collaborate, provide technical guidance, and engage in design and code review for other team members. - Excellent Scala, cassandara, architect, api, software, python, Java programming and software design skills, including debugging, performance analysis and test design - Proficiency with at least one Scala, GoLang, Python micro frameworks like Flask, Tornado, Play, Spring etc. with experience in building REST APIs - Experience or understanding in building web crawlers, data fetching bots etc. - Experience with design and optimisation of Neo4j, cassandra, NoSQL databases, PostGreSQL, Redis, Elastic Search - Familiarity with one of the cloud service providers, AWS or Google Compute Engine - Computer Science degree with 4+ years of backend programming experience Experience : 5 Years+ Location : Sony World Signal, Koramangala 4th Block, Bangalore Job Perks Insurance, Travel Benefits and others

Android Developer

at GarageBot

1 recruiter

Posted by Rohan Raheja

Pune

1 - 3 yrs

₹3L - ₹7L / yr

Android Development

Java

RESTful APIs

React Native

1. Understand the current application infrastructure and code design. 2. Design and develop new features in the product as the product evolves to the upcoming market requirements. 3. Design and develop Android infrastructure. 4. Study technological improvements and incorporate the same in the product.

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