Adobe Illustrator- Roles & Responsibilities:
- Responsible for managing + executing content for social media platforms like Instagram, LinkedIn, YouTube, etc. Build and execute social media marketing strategies. Working with our marketing team to design and create the campaign test to communicate the results to use the data to inform future business decisions.
- Collaborate with other departments (marketing, video team, etc.) to create engaging social media content (Stories, posts, reels, etc).
- Planning, Creation, and Publishing of Instagram Reels.
- Managing ORM of IIDE s Social Media.
- Creating the entire campaign, shooting it out, monitoring it, and analyzing it.
- Measure output and revise social media strategies from time to time.
- Takedown any other activities from your reporting manager as and when required.
- Flexibility and willingness to go beyond the call of duty (a go-getter).
- Required Experience and Qualifications:
- Basic Shooting skills using the phone
- Basics of Adobe design & Video tools - Illustrator, Photoshop & Premiere Pro
Shubham Vishwakarma
Full Stack Developer - Averlon
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Role & Responsibilities
We are building an AI-powered Artwork Validation Platform that reads global regulatory rules and validates product packaging using LLMs and Retrieval-Augmented Generation (RAG). We are looking for a hands-on AI Engineer with strong expertise in the LangChain ecosystem to design, orchestrate, and optimize intelligent AI workflows.
Key Responsibilities:
- Design and build RAG pipelines for rule-based validation
- Extract structured rules from PDF/XML/web sources using LLMs
- Develop AI workflows using LangChain and LangGraph
- Implement semantic search and embeddings for accurate retrieval
- Use LangSmith for debugging, tracing, and evaluation
- Prototype workflows using LangFlow
- Generate explainable AI outputs for artwork validation
- Optimize prompts and reduce hallucinations
Ideal Candidate
- Strong AI Engineer / LLM Engineer profile with hands-on experience building RAG or LLM applications
- Mandatory (Experience): Must have 3+ years of software engineering experience with atleast 6+ months in AI/ML, NLP, or deploying LLM based application
- Mandatory (LLM & RAG): Must have strong hands-on experience building RAG pipelines, LLM workflows, semantic search, or AI-powered retrieval systems
- Mandatory (LangChain Ecosystem): Must have hands-on experience with LangChain. Experience with LangGraph, LangSmith, and LangFlow is highly important
- Mandatory (Vector DB & Embeddings): Must have worked on embeddings and vector databases like Pinecone, FAISS, Weaviate, ChromaDB, etc.
- Mandatory (Programming): Strong Python skills with experience building AI/NLP pipelines or backend AI workflows
- Mandatory (Data Processing): Must have experience working with unstructured data such as PDFs, HTML, XML, scanned documents, or web data
- Mandatory (Prompt Engineering): Must have good understanding of prompt engineering, hallucination reduction, retrieval accuracy, and LLM evaluation
- Mandatory (Company): Service or product companies acceptable given they have real AI/ML, LLM based experience
- Mandatory (Note): Must be comfortable with a 6-day (3 days in office) hybrid work model. Mon-Friday 8:30-5:30 pm and Saturdays 8:30-1:00 pm
- Preferred (Experience): Exposure to food compliance domain
Review Criteria:
- Strong MLOps profile
- 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
- 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
- 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
- Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
- Must have hands-on Python for pipeline & automation development
- 4+ years of experience in AWS cloud, with recent companies
- (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth
Preferred:
- Hands-on in Docker deployments for ML workflows on EKS / ECS
- Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
- Experience with CI / CD / CT using GitHub Actions / Jenkins.
- Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
- Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.
Job Specific Criteria:
- CV Attachment is mandatory
- Please provide CTC Breakup (Fixed + Variable)?
- Are you okay for F2F round?
- Have candidate filled the google form?
Role & Responsibilities:
We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.
Key Responsibilities:
- Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
- Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
- Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
- Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
- Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
- Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
- Collaborate with data scientists to productionize notebooks, experiments, and model deployments.
Ideal Candidate:
- 8+ years in MLOps/DevOps with strong ML pipeline experience.
- Strong hands-on experience with AWS:
- Compute/Orchestration: EKS, ECS, EC2, Lambda
- Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
- Workflow: MWAA/Airflow, Step Functions
- Monitoring: CloudWatch, OpenSearch, Grafana
- Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
- Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
- Strong Linux, scripting, and troubleshooting skills.
- Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.
Education:
- Master’s degree in computer science, Machine Learning, Data Engineering, or related field.
Solutions Architect - Data Engineering
Modern tech solutions advisory & 'futurify' consulting as a Searce lead fds (‘forward deployed solver’) architecting scalable data platforms and robust data engineering solutions that power intelligent insights and fuel AI innovation.
If you’re a tech-savvy, consultative seller with the brain of a strategist, the heart of a builder, and the charisma of a storyteller — we’ve got a seat for you at the front of the table.
You're not a sales lead. You're the transformation driver.
What are we looking for
real solver?
Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.
- Improver. Solver. Futurist.
- Great sense of humor.
- ‘Possible. It is.’ Mindset.
- Compassionate collaborator. Bold experimenter. Tireless iterator.
- Natural creativity that doesn’t just challenge the norm, but solves to design what’s better.
- Thinks in systems. Solves at scale.
This Isn’t for Everyone. But if you’re the kind who questions why things are done a certain way— and then identifies 3 better ways to do it — we’d love to chat with you.
Your Responsibilities
what you will wake up to solve.
You are not just a Solutions Architect; you are a futurifier of our data universe and the primary enabler of our AI ambitions. With a deep-seated passion for data engineering, you will architect and build the foundational data infrastructure that powers the customers entire data intelligence ecosystem.
As the Directly Responsible Individual (DRI) for our enterprise-grade data platforms, you own the outcome, end-to-end. You are the definitive solver for our customer's most complex data challenges, leveraging a powerful tech stack including Snowflake, Databricks, etc. and core GCP & AWS services (BigQuery, Spanner, Airflow, Kafka). This is a hands-on-keys role where you won't just design solutions—you'll build them, break them, and perfect them.
- Solution Design & Pre-sales Excellence:Collaborate with cross-functional teams, including sales, engineering, and operations, to ensure successful project delivery.
- Design Core Data Engineering: Master data modeling, architecting high-performance data ingestion pipelines and ensuring data quality and governance throughout the data lifecycle.
- Enable Cloud & AI: Design and implement solutions utilizing core GCP data services, building foundational data platforms that efficiently support advanced analytics and AI/ML initiatives.
- Optimize Performance & Cost: Continuously optimize data architectures and implementations for performance, efficiency, and cost-effectiveness within the cloud environment.
- Bridge Business & Tech: Translate complex business requirements into clear technical designs, providing technical leadership and guidance to data engineering teams.
- Stay Ahead of the Curve: Continuously research and evaluate new data technologies, architectural patterns, and industry trends to keep our data platforms at the cutting edge.
Functional Skills:
- Enterprise Data Architecture Design: Expert ability to design holistic, scalable, and resilient data architectures for complex enterprise environments.
- Cloud Data Platform Strategy: Proven capability to strategize, design, and implement cloud-native data platforms.
- Pre-Sales & Technical Storyteller: Crafts compelling, client-ready proposals, architectural decks, and technical demonstrations. Doesn't just present; shapes the strategic technical narrative behind every proposed solution.
- Advanced Data Modelling: Mastery in designing various data models for analytical, operational, and transactional use cases.
- Data Ingestion & Pipeline Orchestration: Strong expertise in designing and optimizing robust data ingestion and transformation pipelines.
- Stakeholder Communication: Exceptional skills in articulating complex technical concepts and architectural decisions to both technical and non-technical stakeholders.
- Performance & Cost Optimization: Adept at optimizing data solutions for performance, efficiency, and cost within a cloud environment.
Tech Superpowers:
- Cloud Data Mastery: You're a wizard at leveraging public cloud data services, with deep expertise in GCP (BigQuery, Spanner, etc.) and expert proficiency in modern data warehouse solutions like Snowflake.
- Data Engineering Core: Highly skilled in designing, implementing, and managing data workflows using tools like Apache Airflow and Apache Kafka. You're also an authority on advanced data modeling and ETL/ELT patterns.
- AI/ML Data Foundation: You instinctively design data pipelines and structures that efficiently feed and empower Machine Learning and Artificial Intelligence applications.
- Programming for Data: You have a strong command over key programming languages (Python, SQL) for scripting, automation, and building data processing applications.
Experience & Relevance:
- Architectural Leadership (8+ Years): You bring extensive experience (7+ years) specifically in a Solutions Architect role, focused on data engineering and platform building.
- Cloud Data Expertise: You have a proven track record of designing and implementing production-grade data solutions leveraging major public cloud platforms, with significant experience in Google Cloud Platform (GCP).
- Data Warehousing & Data Platform: Demonstrated hands-on experience in the end-to-end design, implementation, and optimization of modern data warehouses and comprehensive data platforms.
- Databricks & BigQuery Mastery: You possess significant practical experience with Databricks as a core data warehouse and GCP BigQuery for analytical workloads.
- Data Ingestion & Orchestration: Proven experience designing and implementing complex data ingestion pipelines and workflow orchestration using tools like Airflow and real-time streaming technologies like Kafka.
- AI/ML Data Enablement: Experience in building data foundations specifically geared towards supporting Machine Learning and Artificial Intelligence initiatives.
Join the ‘real solvers’
ready to futurify?
If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’.
Don’t Just Send a Resume. Send a Statement.
So, If you are passionate about tech, future & what you read above (we really are!), apply here to experience the ‘Art of Possible’
Responsibilities & Qualification:
· Should have managed a regional or pan-India team in credit card collections.
· Strong people management skills and ability to motivate a team across multiple
locations.
· Must have strong relationships with collection agencies across the country and be
able to drive their performance.
· Ability to set targets and ensure goal orientation among the team members.
· Must have a basic understanding of underwriting policies that work and don’t work
for unsecured lending.
· Sound knowledge of how to read credit bureau reports / data and credit bureau
processes. Must be able to suggest ways to leverage credit bureau data for
improving underwriting and collections.
· Familiarity with collection systems for collection of dues from delinquent borrowers.
Experience in implementing a collection system would be preferable.
· Should be data driven and comfortable with numbers; should be comfortable with typical
credit risk portfolio reports.
· Familiarity with incentive plans for collectors/collection agencies including their
pitfalls.
·Should be ethical and act with integrity to ensure there is no reputational risk to
the organization.
· Must have sound knowledge about all rules and regulation (particularly those
relating to credit card collections) and ensure compliance with these across
the risk organization.
AngularJS (1.x)
Angular (2+)
Amazon Web Services (AWS)Dare2Compete is looking for MEAN or LAMP Stack Developers. Developer responsibilities include building our application from concept all the way to completion from the bottom up, fashioning everything from the home page to site layout and function.
Responsibilities of the Candidate:
- Write well-designed, testable, efficient code by using the best software development practices
- Integrate data from various back-end services and databases
- Gather and refine specifications and requirements based on technical needs
- Be responsible for maintaining, expanding, and scaling our products
- Stay plugged into emerging technologies/industry trends and apply them into operations and activities
- End-to-end management and coding of all our products and services
- To make products modular, flexible, scalable and robust
Our Tech Stack:
- AngularJS 10
- React
- PHP Laravel
- Mongo DB
- Express.js
- NodeJS
- MYSQL 8
- NoSQL DB
- Linux OS
- Apache
- Amazon AWS services – EC2, WAF, EBS, SNS, SES, Lambda, Fargate, etc.
- The whole ecosystem of AWS
- And many more…
Required Experience, Skills, and Qualifications:
- Must have at least 1 year of experience to a maximum of 10 years of experience in the technologies that we work with
- Proven working experience in programming – Full Stack
- Top-notch programming and analytical skills
- Must know and have experience in AngularJS 2 onwards
- A solid understanding of how web applications work including security, session management, and best development practices
- Adequate knowledge of relational database systems, Object-Oriented Programming and web application development
- Ability to work and thrive in a fast-paced environment, learn rapidly and master diverse web technologies and techniques
- B.Tech in Computer Science or a related field or equivalent
Salary: As per industry benchmarks. This won’t be a restriction for the right candidate.
Our client is the Health-tech initiative of India's largest business house. Started in 2015, it empowers healthcare providers and consumers in India. All healthcare monitoring services are made available through an app that will help connect doctors, hospitals, pharmacies, laboratories and consumers, enabling preventive and predictive healthcare. It helps the care-givers to track the entire patient journey from the initial appointment and maintaining their records, generating lab test reports to providing virtual consultation and home-care solutions. It is expected that this futuristic guide will strengthen doctor-patient relationship and enhance the in-clinic experience.
- Identifying how our brand is currently positioned in the market.
- Developing and executing marketing campaigns aimed at communicating our brand message.
- Communicating our brand personality internally and aligning different teams towards common goal.
- Leading marketing team members through campaigns.
- Measuring and reporting on success of marketing campaigns.
- Anticipating consumer trends and keeping brand up to date.
- Creating brand advocates and running referral campaigns.
- Driving consumer engagement and retention while managing LTV.
What you need to have:
- MBA from Tier-1 B-Schools
- Expertise in running ATL / BTL led marketing campaigns.
- Media planning and buying
- Good know how of the digital eco-system, managing geo-targeted or pan national campaigns as and when required.
- Creative development and agency management
- A go-getter with ownership and commitment
- Strong communication and interpersonal skills. Especially the ability to work cross-departments to achieve results.
