data science trainer

Strong Storyboarding Visualiser profile

Mandatory (Experience 1):Must have 2+ years of experience in designing/visualisation with experience in creating storyboards for animation, video, or marketing content

Mandatory (Experience 2):Must have experience in conceptualising visual stories, including interpreting scripts, briefs, or creative ideas into clear visual sequences

Mandatory (Experience 3): Must have experience in client/team management, coordinating with designers, animators, copywriters, and clients to ensure creative deliverables meet brand and project standards.

Mandatory (Tech Skills 1): Must have knowledge of motion graphics and video editing, including tools such as After Effects, Premiere Pro, or equivalent software, with an understanding of how storyboards translate into animation.

Mandatory (Tech Skills 2): Must have strong drawing and visual storytelling skills, with the ability to convey mood, movement, action, camera angles, transitions, and composition in both digital and traditional formats.

Mandatory (Portfolio): Strong portfolio/work samples showcasing storyboards, motion graphics, visual storytelling, or video/design projects. Portfolio should clearly demonstrate creativity, drawing ability, sequencing, and software proficiency.

Mandatory (Note1): Candidate must be flexible to work in shifts from 2 PM to 11 PM, aligning with team and client requirements

Mandatory (Note2): Work is going to be pre-production focused

Strong Podcast & Video Script writing Profile

Mandatory (Experience 1) – Must have 2+ YOE in creative scripting and narrative design for Podcasts

Mandatory (Experience 2) - Must have strong exposure to Finance industry, and should be able to simplify complex Financial subjects into engaging story-based scripts

Mandatory (Skills) – Must have hands-on expertise with AI/GenAI tools (e.g., Wondercraft, Heygen, NotebookLM, ElevenLabs) for content creation, prompting, and production at scale.

Mandatory (CTC) - The CTC breakup offered will be 80% fixed, and 20% variable, as per Company policy.

• Excellent verbal and written communication skills in English
• Strong customer service orientation
• Basic computer knowledge and typing skills
• Flexibility to work in shifts, including weekends and holidays
• Handle inbound/outbound customer calls regarding product/service inquiries and issues
• Ability to empathize with customers and provide appropriate solutions
• Good problem-solving skills
• Ability to work in a fast-paced and target-driven environment

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

Who we are :

Stanza Living is India's largest and fastest growing tech-enabled, managed accommodation company that delivers a hospitality-led living experience to migrant students and young working professionals across India. We have a full-stack business model that focuses on design, development and delivery of daily living solutions tailored to the young consumers' lifestyle. From smartly-planned residences, host of amenities and services for hassle-free living to exclusive community engagement programmes - everything is seamlessly integrated through technology to ensure the highest consumer delight.

Today, we are :

• India's largest managed accommodation company with over 75,000+ beds under management across 25+ cities
• Most capitalized player in the managed accommodation space, backed by global marquee investors - Falcon Edge, Equity International, Sequoia Capital, Matrix Partners, Accel Partners
• Recognized as the Best Real Estate Tech company across the Globe in 2020 by leading analysis agency, Tracxn
• LinkedIn Top Startup to Work for - 2019

Objectives of this role :

- Work in tandem with our engineering team to identify and implement the most optimal cloud-based solutions for the company

- Define and document best practices and strategies regarding application deployment and infrastructure maintenance

- Provide guidance, thought leadership, and mentorship to developer teams to build their cloud competencies

- Ensure application performance, uptime, and scale, maintaining high standards for code quality and thoughtful design

- Manage cloud environments in accordance with company security guidelines

Job Description :

- Excellent understanding of Cloud Platform (AWS)

- Strong knowledge on AWS Services, design, configuration on enterprise systems

- Good knowledge on Kubernetes configuration, Dockers

- Understanding the needs of the business for defining AWS system specifications

- Understand Architecture Requirements and ensure effective support activities

- Evaluation and choosing suitable AWS Service or and suggesting methods for integration

- Overseeing assigned programs and guiding the team members

- Providing assistance when technical problems arise

- Making sure the agreed infrastructure and architecture are implemented

- Addressing the technical concerns, suggestions, and ideas

- Configure Monitoring systems to make sure they meet business goals as well as user requirements

- Excellent knowledge of AWS IaaS Layer

- Ability to lead & implement PS workloads or POCs

- Ensure continual knowledge management

• Strong problem-solving skills to drive resolution of defects and issues by understanding client needs & presenting options to resolve the problem.
• An ability to identify, develop and implement solutions to gaps to meet the needs of the business Qualifications
• Extensive Experience in PA, OM, TM (Position & negative) & PY Module.
• ESS & MSS Support.
• SAP HR/HCM Audit skill.
• Very good in PCR & Schema.
• Excellent problem-solving and debugging skills.
• Minimum 5+ years of experience as an SAP HCM Consultant.  

We are looking for talented developers to join our team which has worked on multiple #1 top grossing games. We are now working on an exciting new mobile shooter game. You will collaborate with Designers, Artists and other Engineers to implement core systems and workflows

• Work with designers and artists to integrate and implement new features
• Develop animated and interactive user interface based on flow documents
• Build performance critical gameplay features
• Build UI development Pipeline for sprites, atlases and downloadable content
• Optimize UI draw calls and script execution time
• Implement UI supported for different resolutions and platforms
• Partner with UX designers and artists to develop best practices and solutions

• Expert knowledge in Unity UI framework
• Experience with Unity APIs and plugins
• Good understanding of State machine, OOPs concepts, and SOLID principles
• Experience with Addressables assets and downloadable content
• Good understanding of Unity scene management, nested prefabs and script execution order
• Experience in optimising game using profiler, reducing load time and draw calls
• Have experience of building complex UI with 2D and 3D elements
• Experience of building UI for different resolutions and platforms like iOS, Android [PC & console is plus]
• Strong proficiency with Unity and C#, with at least one shipped title as part of a medium to large engineering team
• 2+ years of game development experience in a related role
• Capable of delivering quality Code Review feedback