SDET

Key Responsibilities:

● Develop and maintain web applications using Django and Flask frameworks.

● Design and implement RESTful APIs using Django Rest Framework (DRF).

● Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation.

● Build and integrate APIs for AI/ML models into existing systems.

● Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn.

● Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases.

● Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization.

● Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker.

● Ensure the scalability, performance, and reliability of applications and deployed models.

● Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions.

● Write clean, maintainable, and efficient code following best practices. ● Conduct code reviews and provide constructive feedback to peers.

● Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. 

Required Skills and Qualifications:

● Bachelor’s degree in Computer Science, Engineering, or a related field.

● 2+ years of professional experience as a Python Developer.

● Proficient in Python with a strong understanding of its ecosystem.

● Extensive experience with Django and Flask frameworks.

● Hands-on experience with AWS services for application deployment and management.

● Strong knowledge of Django Rest Framework (DRF) for building APIs. ● Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.

● Experience with transformer architectures for NLP and advanced AI solutions.

● Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).

● Familiarity with MLOps practices for managing the machine learning lifecycle.

● Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus.

● Excellent problem-solving skills and the ability to work independently and as part of a team.

Required Skills & Qualifications

Technical Skills

• Strong hands-on experience with Databricks and Apache Spark.
• Proficiency in Python and SQL.
• Proven experience in data mapping, transformation, and data modeling.
• Experience integrating data from APIs, databases, and cloud storage.
• Solid understanding of ETL/ELT concepts and data warehousing principles.

Key Responsibilities

Data Source Identification & Quality Assessment

Data Mapping & Integration

• Define and maintain comprehensive data mapping between source systems and Databricks tables.
• Design and implement scalable ETL/ELT pipelines using Databricks and Apache Spark.

Databricks & Data Modeling

• Develop and optimize Databricks workloads using Spark and Delta Lake.
• Design efficient data models optimized for performance, analytics, and API consumption.

Job Title: Admin

Job Type: Full Time

Location: Indore

Summary/Objective:

We are looking for a detail-oriented Admin to join our team. The Admin will primarily handle administrative tasks to ensure the smooth operation of our office. The ideal candidate will be highly organized, efficient, and capable of managing multiple tasks simultaneously.

Responsibilities/Duties:

Admin Tasks:

·        Manage office supplies and inventory, placing orders when necessary.

·        Coordinate maintenance of office equipment and facilities.

·        Handle incoming and outgoing correspondence, including emails, phone calls, and mail.

·        Serve as the point of contact for office-related inquiries and issues.

·        Schedule and coordinate meetings with the director, prepare agendas, meeting minutes.

·        Maintain relationships with vendors and handle vendor-related issues.

·        Make follow-up calls as needed to vendors, clients, and other stakeholders.

·        Supervise and manage housekeeping staff to ensure cleanliness and maintenance of office premises.

·        Schedule and assign tasks to housekeeping staff.

·        Conduct regular inspections to ensure standards are met and address any issues promptly.

·        Occasionally visit the market to procure required supplies.

·        Visit Aunitji's house when required for specific tasks or responsibilities.

Strong Computer Networks & Operating Systems Profile

Mandatory (Experience): Must have 2+ years of hands-on experience in Computer Networks and OS

Mandatory (Skills 1): Must be Proficient in Linux/Unix commands and practical coding knowledge

Mandatory (Skills 2): Must have strong Knowledge of Operating System and Network fundamentals like SI & TCP/IP models, Protocols(TCP, UDP, IP), Firewalls, VPNs, encryption (SSL/TLS), Process scheduling, multitasking, memory management etc

Mandatory (Exclusion): Don't source from Physicswallah and Scaler (No hire policy)

Job Description:

Technical Lead – Full Stack

Experience: 8–12 years (Strong candidates Java 50% - React 50%)

Location – Bangalore/Hyderabad

Interview Levels – 3 Rounds

Tech Stack: Java, Spring Boot, Microservices, React, SQL

Focus: Hands-on coding, solution design, team leadership, delivery ownership

Must-Have Skills (Depth)

Java (8+): Streams, concurrency, collections, JVM internals (GC), exception handling.

Spring Boot: Security, Actuator, Data/JPA, Feign/RestTemplate, validation, profiles, configuration management.

Microservices: API design, service discovery, resilience patterns (Hystrix/Resilience4j), messaging (Kafka/RabbitMQ) optional.

React: Hooks, component lifecycle, state management, error boundaries, testing (Jest/RTL).

SQL: Joins, aggregations, indexing, query optimization, transaction isolation, schema design.

Testing: JUnit/Mockito for backend; Jest/RTL/Cypress for frontend.

DevOps: Git, CI/CD, containers (Docker), familiarity with deployment environments.

Full-Stack Machine Learning Engineer

Role: Full-Time, Long-Term Required: Python Preferred: C++

OVERVIEW

We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.

Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.

Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.

You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.

Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.

C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.

HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION

We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.

DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO

Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.

ENGINEERING STANDARDS

Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.

Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.

Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.

WHAT WE ARE LOOKING FOR

Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.

Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.

Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.

Communication: You explain complex concepts clearly and document your reasoning.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.

Role Summary

We are seeking a Full-Stack Developer to build and secure features for our Therapy Planning Software (TPS), which integrates with RMS/RIS, EMR systems, devices (DICOM, Bluetooth, VR, robotics, FES), and supports ICD–ICF–ICHI coding. The role involves ~40% frontend and 60% backend development, with end-to-end responsibility for security across application layers.

Responsibilities

Frontend (40%)

1. Build responsive, accessible UI in React + TypeScript (or Angular/Vue).
2. Implement multilingual (i18n/l10n) and WCAG 2.1 accessibility standards.
3. Develop offline-capable PWAs for home programs.
4. Integrate REST/FHIR APIs for patient workflows, scheduling, and reporting.
5. Support features like voice-to-text, video capture, and compression.

Backend (60%)

1. Design and scale REST APIs using Python (FastAPI/Django).
2. Build modules for EMR storage, assessments, therapy plans, and data logging.
3. Implement HL7/FHIR endpoints and secure integrations with external EMRs.
4. Handle file uploads (virus scanning, HD video compression, secure storage).
5. Optimize PostgreSQL schemas and queries for performance.
6. Implement RBAC, MFA, PDPA compliance, edit locks, and audit trails.

Security Layer (Ownership)

1. Identity & Access: OAuth2/OIDC, JWT, MFA, SSO.
2. Data Protection: TLS, AES-256 at rest, field-level encryption, immutable audit logs.
3. Compliance: PDPA, HIPAA principles, MDA requirements.
4. DevSecOps: Secure coding (OWASP ASVS), dependency scanning, secrets management.
5. Monitoring: Logging/metrics (ELK/Prometheus), anomaly detection, DR/BCP preparedness.

Requirements

• Strong skills in Python (FastAPI/Django) and React + TypeScript.
• Experience with HL7/FHIR, EMR data, and REST APIs.
• Knowledge of OAuth2/JWT authentication, RBAC, audit logging.
• Proficiency with PostgreSQL and database optimization.
• Cloud deployment (AWS/Azure) and containerization (Docker/K8s) a plus.

Added Advantage

• Familiarity with ICD, ICF, ICHI coding systems or medical diagnosis workflows.

Success Metrics

• Deliver secure end-to-end features with clinical workflow integration.
• Pass OWASP/ASVS L2 security baseline.
• Establish full audit trail and role-based access across at least one clinical workflow.

About the Company:

Alyke, recognized as India's first friendship app, is revolutionizing the way people find friends online through its innovative matching algorithm. Alyke has quickly gained traction, surpassing 1 million users. This platform uniquely connects individuals based on shared interests and proximity, and stands out for its commitment to creating a secure environment that encourages users to express themselves freely. Joining Alyke offers the chance to be part of an innovative team dedicated to reshaping the landscape of social connections

Role Overview:

As a Senior Backend Developer, you will play a crucial role in the design, development, and optimization of our backend systems. You will be instrumental in building scalable, high-performance applications that support our business's needs. This role demands a deep understanding of backend technologies, database design, cloud infrastructure, and the ability to integrate a wide range of services and APIs.

Key Responsibilities

• Design and implement scalable, secure, and robust backend services and APIs.
• Lead the development of microservices architecture, ensuring optimal performance and scalability.
• Oversee the integration of third-party services and external APIs, including notification services like FCM.
• Develop and manage database schemas, optimizing for performance and scalability using MongoDB and Redis.
• Implement real-time data processing mechanisms for live updates and push notifications, utilizing technologies like Firebase.
• Manage cloud infrastructure and serverless functions on platforms such as AWS and GCP, ensuring efficient operations and cost management.
• Ensure the security of backend systems through robust authentication, authorization, data encryption, and adherence to best practices in data security and compliance.
• Work closely with the frontend team to integrate backend services and ensure a seamless user experience.
• Continuously evaluate and adopt new technologies and frameworks to improve the backend infrastructure.
• Mentor junior developers, fostering a culture of learning and growth within the team.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in backend development, with a strong portfolio of projects demonstrating expertise in NodeJS, ExpressJS, and asynchronous programming.
• Extensive experience with database design, optimization, and management using MongoDB and Redis.
• Proven track record in developing and managing REST APIs.
• Deep understanding of microservices architecture and real-time data processing.
• Solid experience with caching mechanisms and SQS management.
• Comprehensive knowledge of security principles, including authentication, authorization, and data encryption.
• Familiarity with compliance and data protection standards.
• Should have worked on scalable microservices architecture
• Experience with Lambda functions.
• Experience working with firebase
• Should have proven experience in mobile application development
• Should have working experience in sqs
• Have knowledge of elastic cache 
• Experience with cloud-native development and managing cloud infrastructure on AWS or GCP.
• Excellent problem-solving skills, with the ability to lead projects and collaborate effectively with cross-functional teams.
• Strong communication and leadership skills, with a passion for mentoring and driving technical excellence.
• Attach the link of mobile application worked on till date

Why Join Us?

• Opportunity to lead a cutting-edge project impacting users globally.
• Work in an environment that fosters innovation, collaboration, and professional growth.
• Competitive compensation, comprehensive benefits.

• 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