Senior Executive-Assist Manager/Sr Manager

Job Title : Graphic Designer – Short Video Content Creator

Location : On-site – Gurgaon & Ghaziabad

Experience : 2+ Years

Working Days: Monday to Friday/Saturday

Job Summary :

We are seeking a talented and creative Graphic Designer with a strong focus on short video content creation for digital and social media platforms. The ideal candidate will have hands-on experience in both graphic design and video editing, with the ability to ideate, shoot, and edit engaging short-form video content.

Key Responsibilities :

• Design visually compelling graphics for digital, web, and social media platforms.
• Create and edit short-form videos (Reels, Stories, YouTube Shorts, Ads, etc.).
• Collaborate with marketing and content teams to conceptualize and execute campaigns.
• Develop motion graphics and basic animations as needed.
• Stay updated with design trends, social media formats, and video content best practices.
• Work on-site and coordinate with the team for shoots and editing sessions.

Required Skills :

• Proficiency in Adobe Creative Suite (Photoshop, Illustrator, After Effects, Premiere Pro).
• Knowledge of video editing tools (Final Cut Pro, DaVinci Resolve, etc. is a plus).
• Strong sense of design, typography, and color theory.
• Ability to manage multiple projects and meet tight deadlines.
• Creativity, attention to detail, and a strong portfolio of graphic and video work.

Preferred Qualifications:

• Bachelor’s degree or diploma in Graphic Design, Visual Communication, Multimedia, or a related field.
• Prior experience in a similar role with a portfolio showcasing short video content.
• Knowledge of social media platforms (Instagram, YouTube, Facebook, etc.) and their content requirements.

To Apply :

Please share your resume and portfolio/demo reel with examples of your graphic and video work.

Objectives of this role

• Develop, test and maintain high-quality software using Python programming language.
• Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions.
• Collaborate with cross-functional teams to identify and solve complex problems.
• Write clean and reusable code that can be easily maintained and scaled.

Your tasks

• Create large-scale data processing pipelines to help developers build and train novel machine learning algorithms.
• Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions.
• Debugging codes when required and troubleshooting any Python-related queries.
• Keep up to date with emerging trends and technologies in Python development. 

Required skills and qualifications

• 3+ years of experience as a Python Developer with a strong portfolio of projects.
• Hands on exp in angular 12+v
• Bachelor's degree in Computer Science, Software Engineering or a related field.
• In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch.
• Experience with front-end development using HTML, CSS, and JavaScript.
• Familiarity with database technologies such as SQL and NoSQL.
• Excellent problem-solving ability with solid communication and collaboration skills.

Preferred skills and qualifications

• Experience with popular Python frameworks such as Django, Flask or Pyramid.
• Knowledge of Angular
• A working understanding of cloud platforms such as AWS, Google Cloud or Azure.
• Contributions to open-source Python projects or active involvement in the Python community.

Role - MLops Engineer

Location - Pune, Gurgaon, Noida, Bhopal, Bangalore 

Mode - Hybrid

Role Overview

We are looking for an experienced MLOps Engineer to join our growing AI/ML team. You will be responsible for automating, monitoring, and managing machine learning workflows and infrastructure in production environments. This role is key to ensuring our AI solutions are scalable, reliable, and continuously improving.

Key Responsibilities

• Design, build, and manage end-to-end ML pipelines, including model training, validation, deployment, and monitoring.
• Collaborate with data scientists, software engineers, and DevOps teams to integrate ML models into production systems.
• Develop and manage scalable infrastructure using AWS, particularly AWS Sagemaker.
• Automate ML workflows using CI/CD best practices and tools.
• Ensure model reproducibility, governance, and performance tracking.
• Monitor deployed models for data drift, model decay, and performance metrics.
• Implement robust versioning and model registry systems.
• Apply security, performance, and compliance best practices across ML systems.
• Contribute to documentation, knowledge sharing, and continuous improvement of our MLOps capabilities.

Required Skills & Qualifications

• 4+ years of experience in Software Engineering or MLOps, preferably in a production environment.
• Proven experience with AWS services, especially AWS Sagemaker for model development and deployment.
• Working knowledge of AWS DataZone (preferred).
• Strong programming skills in Python, with exposure to R, Scala, or Apache Spark.
• Experience with ML model lifecycle management, version control, containerization (Docker), and orchestration tools (e.g., Kubernetes).
• Familiarity with MLflow, Airflow, or similar pipeline/orchestration tools.
• Experience integrating ML systems into CI/CD workflows using tools like Jenkins, GitHub Actions, or AWS CodePipeline.
• Solid understanding of DevOps and cloud-native infrastructure practices.
• Excellent problem-solving skills and the ability to work collaboratively across teams.

At least 5 years of experience in testing and developing automation tests.

A minimum of 3 years of experience writing tests in Python, with a preference for experience in designing automation frameworks.

Experience in developing automation for big data testing, including data ingestion, data processing, and data migration, is highly desirable.

Familiarity with Playwright or other browser application testing frameworks is a significant advantage.

Proficiency in object-oriented programming and principles is required.

Extensive knowledge of AWS services is essential.

Strong expertise in REST API testing and SQL is required.

A solid understanding of testing and development life cycle methodologies is necessary.

Knowledge of the financial industry and trading systems is a plus

Position: Product Designer (for Luxury Home Decor products)

Location: Noida

Experience: 2 years and above

Salary: upto 4.8 LPA

Qualification: Bachelor's degree in fashion design or a related field.

LOOKING FOR SOMEONE WITH RELEVANT EXPERIENCE IN HOME DECOR DESIGN, HOME ACCESSORIES DESIGN, ETC.

Responsibilities:

• Conducting market research to determine gaps in the market.
• Translating research into feasible ideas and designs that will satisfy consumers.
• Clearly outlining specifications for the design team and stakeholders.
• Collaborating with the design team, and providing helpful feedback on processes.
• Engaging audiences and using sketches, blueprints, and prototypes to gather feedback.
• Using software for detailed designs.
• Producing prototypes and models to test functionality.
• Researching tools, materials and relevant design techniques.

Requirements and skills:

• Bachelor's degree in fashion design or a related field.
• A creative eye, good imagination, and vision.
• A firm grasp of market trends and consumer preferences.
• Practical experience using computer-aided design software. Proficient in software such as Corel Draw, Photoshop, Rhino, Keyshot.
• Good technical and IT skills.
• Excellent written and verbal communication skills.
• Strong planning and organizational abilities.
• Good problem-solving skills.

• 4 year degree or equivalent experience
• 8 to 13 years of software development experience 
• Demonstrates broad and deep expertise in any programming languages(Java, GoLang) and open source frameworks (e.g., Spring Boot, Micronut).
• Designs, develops, and approves end-to-end functionality of a product line, platform, or infrastructure and microservices.
• Must have exposure to at least one cloud product/platform development.
• Working knowledge of any one client side framework like ReactJS or Angular, etc.
• Should have exposure to one or more databases like Cassandra, MongoDB, Graph, Redis, Elastic Search and Postgres.