Graphic Designer

PlotPix is building an AI native microdrama platform for mobile first, vertical storytelling. We create emotionally addictive, binge worthy fiction designed for short episode formats and fast audience payoff.

About the Role

Own the visual storytelling of AI produced series and films from concept to final output. This role is responsible for defining the cinematic look and feel of a project, shaping character and environment style, designing shot composition and framing across the storyline, and overseeing AI led shot generation through post production finishing in DaVinci. This is not a traditional graphic design role. It is a creative direction and visual storytelling role built for an AI native production pipeline.

Responsibilities

• Define the overall visual language, mood, and cinematic identity of a series or film
• Build and drive visual direction for characters, environments, tone, lighting, and world style
• Translate story beats into strong shot level camera composition, framing, and visual flow
• Review and guide AI generated shot production to maintain consistency, quality, and emotional impact
• Oversee post production refinement and final video polish in DaVinci Resolve
• Ensure visual continuity across scenes, sequences, and episodes
• Work closely with story, production, and AI pipeline teams to turn narratives into compelling screen output
• Continuously improve output quality by giving clear creative feedback to AI driven workflows

What We’re Looking For

A creative visual storyteller , who can direct the cinematic language of AI made films and series, from visual style and shot framing to final post production polish.

What We Offer

• Working with a highly skilled, motivated and passionate group of people.
• Exposure to the full product development process from ideation to launch.
• Our culture of experimentation and creativity allows everyone to explore new ideas and approaches and think outside the box.
• Building a product for the global audience.
• Competitive stipend.
• A full pantry of munchies.

Position Overview:

We are seeking a highly motivated and skilled Real-World Evidence (RWE) Analyst to join growing team. The successful candidate will be instrumental in generating crucial insights from real-world healthcare data to inform decision-making, improve patient outcomes, and advance medical understanding. This role offers an exciting opportunity to work with diverse healthcare datasets and contribute to impactful research that drives real-world change.

Key Responsibilities:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Data Expertise: Work extensively with real-world healthcare data, including Electronic Medical Records (EMR), claims data, and/or patient registries. (Experience with clinical trial data does not fulfill this requirement.)
• Methodology: Apply appropriate statistical and epidemiological methodologies to analyze complex healthcare datasets.
• Communication: Clearly communicate findings through presentations, reports, and data visualizations to both technical and non-technical audiences.
• Collaboration: Collaborate effectively with cross-functional teams, including clinicians, epidemiologists, statisticians, and data scientists.
• Quality Assurance: Ensure the accuracy, reliability, and validity of all analyses and reports.
• Ethical Conduct: Adhere to all relevant data privacy regulations and ethical guidelines in real-world data research.

Specific Responsibilities for RWE Analyst (Junior):

• Perform statistical analysis on real-world healthcare datasets under guidance.
• Contribute to the development of analysis plans, often by implementing predefined methodologies or refining existing approaches.
• Prepare and clean data for analysis, identifying and addressing data quality issues.
• Assist in the interpretation of study results and the drafting of reports or presentations.
• Support the preparation of journal publication materials based on RWE studies.

Specific Responsibilities for Senior RWE Analyst:

• Analysis Design & Leadership: Independently design and develop comprehensive analysis plans from inception for RWE studies, identifying appropriate methodologies, data sources, and analytical approaches. This role requires a "thinker" who can conceptualize and drive the analytical strategy, not just execute pre-defined requests.
• Project Management: Lead and manage RWE projects from conception to completion, ensuring timely delivery and high-quality outputs.
• Mentorship: Mentor and guide junior RWE analysts, fostering their development in real-world data analysis and research.
• Methodological Innovation: Proactively identify and evaluate new methodologies and technologies to enhance RWE capabilities.
• Strategic Input: Provide strategic input on study design, data acquisition, and evidence generation strategies.

Qualifications:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Bachelor's or Master's degree in Epidemiology, Biostatistics, Public Health, Health Economics, Data Science, or a related quantitative field. (PhD preferred for Senior RWE Analyst).
• Demonstrable hands-on experience working with real-world healthcare data, specifically EMR, claims, and/or registry data. Clinical trial data experience will not be considered as meeting this requirement.
• Proficiency in at least one statistical programming language (e.g., R, Python, SAS, SQL).
• Strong understanding of epidemiological study designs and statistical methods relevant to RWE.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills.

Specific Qualifications for RWE Analyst (Junior):

• 4+ years of experience in real-world data analysis in a healthcare or pharmaceutical setting.
• Involvement with journal publications is highly desirable. (e.g., co-authorship, contribution to manuscript preparation).

Specific Qualifications for Senior RWE Analyst:

• 5+ years of progressive experience in real-world data analysis, with a significant portion dedicated to independent study design and leadership.
• A strong track record of journal publications is essential. (e.g., lead author, significant contribution to multiple peer-reviewed publications).
• Proven ability to translate complex analytical findings into actionable insights for diverse stakeholders.
• Experience with advanced analytical techniques (e.g., machine learning, causal inference) is a plus.

Preferred Skills (for both roles, but more emphasized for Senior):

• Experience with large healthcare databases (e.g., IQVIA, Optum, IBM MarketScan, SEER, NDHM).
• Knowledge of common data models (e.g., OMOP CDM).
• Familiarity with regulatory guidelines and best practices for RWE generation.

Alpha Design Technologies is hiring BE Freshers!

6-Month Internship

We’re looking for enthusiastic BE graduates who are good with numbers, data management, and HR reporting to join our Talent Acquisition / HR Operations team.

Who can apply:

BE Freshers (any stream)

Strong with numbers & Excel

Detail-oriented and eager to learn

Introduction

An admission counsellor will play a fundamental role in achieving customer acquisition goal and revenue growth objectives.

Responsibilities

• Source new sales opportunities through inbound lead follow-up and outbound cold calls and emails

• Responsible for student admission and achieve their targets

• Understand customer needs / requirements and pitch a suitable program

• Close sales and achieve quarterly quotas

• Counselling, Interacting with students and Parents.

• Support students one on one in their selection of course, application process and meeting application deadlines.

• Should be able to assist students in obtaining the necessary documentation needed for the application process.

• Provide students, parents, and guardians with information regarding admissions requirements and processes, enrolment process or other procedures.

• Coordinate systematic and efficient handling of applications and communications with parents of student applicants.

Requirement:

• Ability to empathize with students and parents, thus able to build relationships through conversations

• Strong inclination to work in a target driven sales environment.

• Proven expertise in converting leads into a sale

• Experience working with CRM

• Fluency in English and Hindi languages is a must-have.

• Strong listening and presentation skills. 

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

We are a Research and Development firm focusing on building DeFi products revolving around Decentralized Liquidity Provision and active LP management.

We are a high-output research team of 5 from a variety of backgrounds, spanning from Machine Learning and System Engineering, all the way to fintech and business.

We are looking for a DeFi Software Engineer who has a deep understanding of Ethereum and tons of curiosity!

What are we Building:
We are building an Ethereum-based Protocol for structured yield and synths. The protocol leverages permissionless-ness and transparency of DeFi to create predictable yield and increase capital efficiency of capital deployed over various products in the DeFi ecosystem.

Our first product focuses on liquidity management on Uniswap V3.

Responsibilities

• Designing, building and testing smart contracts and related infrastructure
• Researching new DeFi protocols and its connectors and building on them
• Building real-time monitoring tools and working with our team on latency-sensitive operations
• Ethereum Node Infrastructure
• R&D at a protocol level

Qualifications

• Deep technical and practical understanding of DeFi protocols and DevOps practices for interfacing with them (both Ethereum and any other relevant one) Must have extensive knowledge of Solidity, smart contract development (web3js or ethersjs), testing and deployed a functioning smart contract on ETH mainnet.
• Knowledge of Javascript (knowledge of Golang/Python programming is nice to have).
• Must be comfortable working with either hardhat or truffle.
• Comfortable working in a dynamic, research-oriented team with several ongoing concurrent projects
• You look forward to working with an interdisciplinary team that longs to find solutions together.
• Knowledge of DeFi isn't a must but is a big plus!

The number of years of experience does not matter as long as you have built complex projects from scratch, a burning desire to learn more, constantly improve yourself and solving tricky problems on a daily basis. We're a small team so you can assure yourself that whatever you contribute - in terms of engineering, or otherwise - is always heard and discussed.

Benefits

• Competitive salary and performance-based bonuses
• A young startup work environment, where your initiatives and ideas count and are rewarded
• A unique open research environment, where everybody contributes and sees the full spectrum of our work, from inception to production
• The chance to shape our firm's legacy and exchange knowledge with the team on every part of what we do.

The role is remote. Please share github profiles and details of previous projects worked on (both commercial and personal).

~Lead conversion

~Revenue generation

~Proactively identifying cross-selling /Up-selling process with the existing ~customers

• Work Mode: Bangalore (Work from Office)
• Qualification: Graduation (Tech Background Preferable)