Design Project Manager

Byteridge is seeking a Rapid Prototyping Engineer specializing in AI Infrastructure & Optimization to work with our most strategic customers on deploying, fine-tuning, and optimizing large language models at scale. You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

Website and Company profile:

www.wissen.com

LinkedIn Page:

https://www.linkedin.com/company/wissen-technology/

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

Work Location – Whitefield, Bangalore

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology

• The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.
• Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.
• Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.
• Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.
• Globally present with offices US, India, UK, Australia, Mexico, and Canada.
• We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
• Wissen Technology has been certified as a Great Place to Work®.
• Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.
• Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.
• We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

JOB DESCRIPTION

Job Title:

Data Scientist – Graph & Analytics

Location:

Pune, Maharashtra

Work Mode:

Work from Office – 5 Days a Week

Experience:

3–5 Years

Employment Type:

Full-Time

Education:

B.E. / B.Tech in Computer Science, IT, Statistics, or related field

About the Role

We are looking for an analytical and detail-oriented Data Scientist with deep expertise in graph analytics, network analysis, and scalable data engineering. This is not a conventional machine learning role — the focus is on understanding complex relationships, structures, and patterns within large-scale datasets using graph-based methods and statistical modeling. You will work in a collaborative, fast-paced environment and be expected to contribute across the full data lifecycle — from raw data exploration through to production-grade analytical systems.

This is a full-time, in-office role based out of our Pune office (5 days a week).

Key Responsibilities

Graph Analytics & Network Analysis

• Design and implement graph-based models to identify patterns, clusters, communities, and relationships within complex datasets.

• Apply network analysis techniques using metrics such as clustering coefficient, degree assortativity, density, Gini index, and small-world index.

• Perform multi-hop network traversals and community detection using algorithms such as Louvain partitioning and similar graph clustering approaches.

• Build and query graph databases (Neo4j, ArangoDB) using Cypher Query Language to extract structural insights from connected data.

• Leverage GPU-accelerated graph libraries (cuGraph) to scale graph computations across large datasets efficiently.

Data Engineering & Pipeline Development

• Conduct thorough Exploratory Data Analysis (EDA) on large-scale structured and semi-structured datasets to surface quality issues, distributions, and key features.

• Build, optimize, and maintain scalable data pipelines and stored procedures across cloud data platforms such as BigQuery, PostgreSQL, or Hive.

• Automate data workflows using orchestration tools such as Apache Airflow or Kubeflow Pipelines.

• Apply GPU-accelerated computing (CUDA, CuPy, cuDF) to optimize processing performance on high-volume data workloads.

• Ensure data integrity, reproducibility, and documentation across all analytical workflows.

Statistical Modeling & Insight Generation

• Apply statistical modeling techniques to detect behavioral anomalies, trends, and patterns within datasets.

• Use time series analysis to identify temporal patterns and changes in data over time.

• Translate analytical findings into clear, actionable insights for both technical and non-technical stakeholders.

• Build dashboards and reports using visualization tools (e.g., Trino Superset) to communicate results effectively.

Collaboration & Documentation

• Work closely with product, engineering, and business teams to understand requirements and deliver relevant analytical solutions.

• Contribute to internal knowledge sharing through workshops, documentation, and peer reviews.

• Maintain well-documented codebases and analytical frameworks for long-term maintainability.

Required Skills & Qualifications

Must-Have

• 3+ years of experience in a Data Science, Data Analytics, or Graph Analytics role.

• Strong proficiency in Python with hands-on experience using NumPy, Pandas, CuPy, and cuDF.

• Practical experience with graph analytics libraries — NetworkX, cuGraph, Neo4j, or ArangoDB.

• Solid understanding of graph theory concepts: community detection, network metrics, graph traversal, and clustering algorithms.

• Proficiency in SQL; experience with BigQuery, PostgreSQL, MS SQL, Hive, or similar databases.

• Experience with GPU-based computing using CUDA for performance-critical data tasks.

• Strong analytical thinking and ability to work independently on ambiguous, open-ended problems.

Good to Have

• Experience with Cypher Query Language for querying graph databases (Neo4j / ArangoDB).

• Familiarity with graph ML frameworks such as PyTorch Geometric.

• Exposure to workflow orchestration tools — Apache Airflow or Kubeflow Pipelines.

• Knowledge of cloud data tools such as Trino, MinIO, or IBM Datastage.

• Basic scripting skills in Bash or C++ for automation or performance tasks.

• Experience presenting data insights to senior stakeholders or cross-functional teams.

• Research publications, patents, or open-source contributions in graph analytics or data science are a strong plus.

What We Offer

• Opportunity to solve high-impact, large-scale data problems using modern graph and analytics tools.

• Exposure to cutting-edge technologies including GPU-accelerated computing and graph ML.

• Collaborative, intellectually stimulating work environment with a strong engineering culture.

• Competitive compensation with performance-based incentives.

• Learning & development support — certifications, courses, and conference participation.

• Centrally located Pune office with a structured, in-person team culture.

Job Title: General Physician (MBBS)

Location: Anna Salai (Mount Road), Chennai

Employment Type: Full-Time, Onsite

Company: Pentabay Softwares

Role Overview

We are looking for a registered MBBS Doctor to manage our walk-in clinic and support healthcare-related projects and Online consultations Virtually .This role is ideal for a practitioner who enjoys a mix of active clinical practice and contributing to medical-tech workflows. You will be responsible for providing high-quality primary care to walk-in patients and Digital Appointments.

Key Responsibilities

• Outpatient Care: Conduct physical exams and provide consultations for walk-in patients (acute illnesses, infections, and chronic conditions).
• Emergency First Aid: Provide immediate medical attention and stabilization in case of onsite emergencies.
• Preventive Medicine: Advise on lifestyle changes, vaccinations, and health screenings.
• Minor Procedures: Perform basic clinical tasks such as wound dressing, injections, and nebulization.
• Project Support: Act as a medical subject matter expert (SME) for our internal software projects, ensuring clinical accuracy in digital health tools.
• Pharmacy Coordination: Maintain a basic inventory of essential medicines and provide accurate prescriptions.

Requirements

• Qualification: MBBS from a recognized medical college (MCI/NMC recognized).
• Registration: Must have a valid Tamil Nadu Medical Council (TNMC) registration.
• Experience: 1–5 years of clinical experience. (Freshers with strong internship records are welcome to apply).
• Skills: Strong diagnostic skills, excellent bedside manner

Work Environment & Benefits

• Prime Location: Centrally located on Mount Road with excellent metro connectivity.
• Shift Timings: Full-time hours (Fixed day shifts; no night shifts).
• Professional Growth: Opportunity to bridge the gap between clinical medicine and healthcare technology.

Send me your Resumes or Work email to sandhiya.m at pentabay.com

• Strong Senior UI/UX Product Designer profile – IC Role in B2C Mobile Apps
• Mandatory (Experience 1): 4+ YOE as a Product Designer, UI/UX Designer, or Mobile App Designer with strong IC ownership in tech/startup environments
• Mandatory (Experience 2): Strong experience as a Fullstack Product Designer (UI + UX) for Mobile Apps (especially Android)
• Mandatory (Core Skill 1): Must be highly proficient in Figma - able to create wireframes, user flows, high-fidelity mockups, and micro-interactions from scratch
• Mandatory (Portfolio): Strong UI/UX portfolio of B2C Mobile Apps; Portfolio should reflect strong UI, Interaction, Visual Design skills (UI Heavy portfolio) (preferably launcher/utility/feed-driven apps)
• Mandatory (Company): B2C product companies
• Mandatory (Exclusion): Payment gateway companies

Preferred Companies

B2C Product Companies List: Ultrahuman, boAt, Noise, Fire-Boltt, Mamaearth, Nykaa, Purplle, SUGAR Cosmetics, mCaffeine, CRED, Paytm, PhonePe, Amazon India, Flipkart, Meesho, Tata 1mg, Practo, PharmEasy, HealthifyMe, Cult.fit, Groww, Zerodha, Upstox, Dream11, MPL (Mobile Premier League), WinZO, Ather Energy, Wakefit, SleepyCat, Urban Company, ShareChat, Moj, Dailyhunt, Koo, Chingari, Josh (VerSe Innovation), BYJU’S, Unacademy, Vedantu, Cuemath, Embibe

Position: sales Manager (Building material- Tiles, Gypsum, Stone, Pipes, Ceramic etc)

Experience: At least 3 years’ experience in Building Material like Bison Panel, fiber cement board, gypsum board, sandwich panels, boards, Tile adhesive, Putty, Block fix, Marble, Granite, Stone, Pipes, Ceramic etc

Salary: negotiable

Location: Baroda, Ahmadabad, Mumbai

Industry: Building material. manufacturing

JOB SUMMARY

As a Sales Manager, your role will involve traveling to various locations to promote and sell products to targeted

customers and existing clients. This position requires actively engaging with potential clients, maximizing sales

opportunities, and fostering strong customer relationships.

Job Duties :

• Focus on selling products and services to potential customers in a designated region.
• Travel to find new construction sites and meet site engineer, contractors and consultants, architects, dealers, builders and distributors.
• Contact clients and prospects to understand their needs and present products.
• Conduct price negotiations to reach favorable agreements for both parties.
• Stay informed about industry trends, including product prices and demand.
• Set and achieve sales targets to contribute to business growth.
• Generate business leads and maintain statistical data for reporting purposes.
• Daily sales reports to reporting head.

mail updated resume with current salary-

email: jobs [at] glansolutions[dot]com

satish: 88 O2 74 97 43

Have an Experience indeveloping nativeAndroid apps(depth knowledgeof Android SDK,

NDK)

Depth knowledge of SQLite and Room

Excellent in JAVA, Kotlin language with a good debugging Skills

Expert in using Android Studio and Git .

Developing universal application, which can run on most available android devices.

Must have good understanding of Object-Oriented Programming

Good eye for mobile app design and product sense

Experience in cross platform Tools like Appcelerator

Internally motivated, able to work proficiently both independently and in a team environment.

Good communication skills with both internal team members and external business stakeholders

Strong initiative to find ways to improve solutions, systems, and processes.

Experience of working on Android Studio.

Good in data structure and Algorithms.

Very Sound knowledge of Android Components.

Good in Multi-threading concepts(Desired).

Very good understanding of Java, garbage collection and design patterns.

Third party API Integration like Facebook, Twitter, Payment Gateways.

Experience with Android Google Maps API, and other location based services