Business Development Executive

Review Criteria:

Mandatory:

• Strong AI Runtime Engineering (Lead / Staff) Profiles
• Must have 4+ years of software engineering experience
• Must have proven 1+ years of experience designing, building, and owning AI runtime infrastructure supporting distributed training and/or inference at scale
• Must have hands-on experience optimizing deep learning runtimes such as PyTorch, TensorFlow, etc
• Must have strong low-level performance engineering experience, including profiling, debugging, and optimizing system throughput, latency, and reliability
• Must have experience leading or mentoring a team, including technical guidance, code reviews, and delivery ownership
• Must have strong programming skills in Python, Java, C++ , etc

Preferred:

Experience with Kubernetes, Ray, TorchElastic, or custom AI job orchestration frameworks

Exposure to LLM training pipelines, checkpointing, elastic or distributed training orchestration

Role & Responsibilities:

As Lead/Staff AI Runtime Engineer, you’ll play a pivotal role in the design, development, and optimization of the core runtime infrastructure that powers distributed training and deployment of large AI models (LLMs and beyond). This is a hands-on leadership role - perfect for a systems-minded software engineer who thrives at the intersection of AI workloads, runtimes, and performance-critical infrastructure. You’ll own critical components of our PyTorch-based stack, lead technical direction, and collaborate across engineering, research, and product to push the boundaries of elastic, fault-tolerant, high-performance model execution.

What you’ll do:

Lead Runtime Design & Development:

• Own the core runtime architecture supporting AI training and inference at scale.
• Design resilient and elastic runtime features (e.g. dynamic node scaling, job recovery) within our custom PyTorch stack.
• Optimize distributed training reliability, orchestration, and job-level fault tolerance.

Drive Performance at Scale:

• Profile and enhance low-level system performance across training and inference pipelines.
• Improve packaging, deployment, and integration of customer models in production environments.
• Ensure consistent throughput, latency, and reliability metrics across multi-node, multi- GPU setups.

Build Internal Tooling & Frameworks:

• Design and maintain libraries and services that support model lifecycle: training, check pointing, fault recovery, packaging, and deployment.
• Implement observability hooks, diagnostics, and resilience mechanisms for deep learning workloads.
• Champion best practices in CI/CD, testing, and software quality across the AI Runtime stack.

Collaborate & Mentor:

• Work cross-functionally with Research, Infrastructure, and Product teams to align runtime development with customer and platform needs.
• Guide technical discussions, mentor junior engineers, and help scale the AI Runtime team’s capabilities.

Ideal Candidate:

• 5+ years of experience in systems/software engineering, with deep exposure to AI runtime, distributed systems, or compiler/runtime interaction.
• Experience in delivering PaaS services.
• Proven experience optimizing and scaling deep learning runtimes (e.g. PyTorch, TensorFlow, JAX) for large-scale training and/or inference.
• Strong programming skills in Python and C++ (Go or Rust is a plus).
• Familiarity with distributed training frameworks, low-level performance tuning, and resource orchestration.
• Experience working with multi-GPU, multi-node, or cloud-native AI workloads.
• Solid understanding of containerized workloads, job scheduling, and failure recovery inproduction environments.

Strong B2B SaaS Product Manager profiles

Mandatory (Experience 1) – Must have minimum 6+ years of hands-on Product Management experience.

Mandtaory (Experience 2) - Candidate should have worked as Product Manager in last roles.

Mandatory (Experience 3) – Must have worked in B2B SaaS companies only, preferably in Series A to Series C funded startups

Mandatory (Experience 3) – Proven experience owning products end-to-end – from problem discovery and PRD creation to launch, iteration, and impact measurement"

Mandatory (Education 1) – Must be an Engineer and an alumnus of Top 7 IITs only

Mandatory (Education 2) – Year of graduation should be between 2016 to 2019

Mandatory (Note) - Candidate's overall experience should not be more than 10 Years.

Hiring Tele-collection Executive!

Location: Thane, Mumbai

Experience: Fresher / Experienced

Age Limit: 19 – 35 years

Salary: ₹14,000 – ₹25,000 (based on interview) + Incentives

Industry: Loan recovery (BL, PL, Credit card)

Education: 10th / 12th Pass & Above

Job Timing: 9:30 AM – 6:30 PM (Day Shift)

Immediate joiners prefered

Who are we looking for?

• 2–4 years of hands-on experience in HR operations.
• Strong understanding of onboarding, offboarding, compliance, and labour laws.
• Good communication and stakeholder management skills.
• High intent, ownership & multitasking ability
• Available to work full-time in-office
• Available to join by 15 December’25

What will you be doing?

• Manage end-to-end onboarding and offboarding processes.
• Handle payroll & compliance
• Ensure adherence to labour laws and statutory requirements.
• Address and resolve employee queries with quick turnaround.
• Maintain and track asset management for all employees.
• Manage vendor coordination for HR-related services/tools.
• Support hiring activities and assist other HR functions when needed.
• Coordinate with internal teams for smooth operational workflows.
• Take ownership of ad-hoc HR tasks and projects.

About Us

Alfred Capital - Alfred Capital is a next-generation on-chain proprietary quantitative trading technology provider, pioneering fully autonomous algorithmic systems that reshape trading and capital allocation in decentralized finance. 

As a sister company of Deqode — a 400+ person blockchain innovation powerhouse — we operate at the cutting edge of quant research, distributed infrastructure, and high-frequency execution.

What We Build

• Alpha Discovery via On‑Chain Intelligence — Developing trading signals using blockchain data, CEX/DEX markets, and protocol mechanics.
• DeFi-Native Execution Agents — Automated systems that execute trades across decentralized platforms.
• ML-Augmented Infrastructure — Machine learning pipelines for real-time prediction, execution heuristics, and anomaly detection.
• High-Throughput Systems — Resilient, low-latency engines that operate 24/7 across EVM and non-EVM chains tuned for high-frequency trading (HFT) and real-time response
• Data-Driven MEV Analysis & Strategy — We analyze mempools, order flow, and validator behaviors to identify and capture MEV opportunities ethically—powering strategies that interact deeply with the mechanics of block production and inclusion.

Evaluation Process

• HR Discussion – A brief conversation to understand your motivation and alignment with the role.
• Initial Technical Interview – A quick round focused on fundamentals and problem-solving approach.
• Take-Home Assignment – Assesses research ability, learning agility, and structured thinking.
• Assignment Presentation – Deep-dive into your solution, design choices, and technical reasoning.
• Final Interview – A concluding round to explore your background, interests, and team fit in depth.
• Optional Interview – In specific cases, an additional round may be scheduled to clarify certain aspects or conduct further assessment before making a final decision.

Job Description : Blockchain Data & ML Engineer

As a Blockchain Data & ML Engineer, you’ll work on ingesting and modelling on-chain behaviour, building scalable data pipelines, and designing systems that support intelligent, autonomous market interaction.

What You’ll Work On

• Build and maintain ETL pipelines for ingesting and processing blockchain data.
• Assist in designing, training, and validating machine learning models for prediction and anomaly detection.
• Evaluate model performance, tune hyperparameters, and document experimental results.
• Develop monitoring tools to track model accuracy, data drift, and system health.
• Collaborate with infrastructure and execution teams to integrate ML components into production systems.
• Design and maintain databases and storage systems to efficiently manage large-scale datasets.

Ideal Traits

• Strong in data structures, algorithms, and core CS fundamentals.
• Proficiency in any programming language
• Familiarity with backend systems, APIs, and database design, along with a basic    understanding of machine learning and blockchain fundamentals.
• Curiosity about how blockchain systems and crypto markets work under the hood.
• Self-motivated, eager to experiment and learn in a dynamic environment.

Bonus Points For

• Hands-on experience with pandas, numpy, scikit-learn, or PyTorch.
• Side projects involving automated ML workflows, ETL pipelines, or crypto protocols.
• Participation in hackathons or open-source contributions.

What You’ll Gain

• Cutting-Edge Tech Stack: You'll work on modern infrastructure and stay up to date with the latest trends in technology.
• Idea-Driven Culture: We welcome and encourage fresh ideas. Your input is valued, and you're empowered to make an impact from day one.
• Ownership & Autonomy: You’ll have end-to-end ownership of projects. We trust our team and give them the freedom to make meaningful decisions.
• Impact-Focused: Your work won’t be buried under bureaucracy. You’ll see it go live and make a difference in days, not quarters

What We Value:

• Craftsmanship over shortcuts: We appreciate engineers who take the time to understand the problem deeply and build durable solutions—not just quick fixes.
• Depth over haste: If you're the kind of person who enjoys going one level deeper to really "get" how something works, you'll thrive here.
• Invested mindset: We're looking for people who don't just punch tickets, but care about the long-term success of the systems they build.
• Curiosity with follow-through: We admire those who take the time to explore and validate new ideas, not just skim the surface.

Compensation:

• INR 6 - 12 LPA
• Performance Bonuses: Linked to contribution, delivery, and impact.

Key Responsibilities:

• Analyze and report on quality trends, root causes, and areas for improvement.
• Ensure compliance with internal policies, industry standards, and client specifications.
• Assist in developing and improving quality assurance processes, procedures, and templates.
• Perform audits, inspections, and evaluations of processes and systems.
• Provide feedback and training to staff on quality issues and performance metrics.

Key Skills:

• Strong analytical and problem-solving skills
• Attention to detail
• Excellent written and verbal communication
• Proficiency in using QA/testing tools and software

Role - Manager (Paid Social)

About Company :-

Our Client is the world’s largest media investment company and is a part of WPP. In fact, we are responsible for one in every three ads you see globally. We are currently looking for a Manager -Social to join us. As part of the largest media agency in India, you’ll have the opportunity to leverage the scale that comes with the job. You will become an integral part of this growing team and will be working with both internal teams and external parties to ensure campaign delivery objectives are met.

This team is responsible for delivering international solutions, particularly in APAC & EMEA, with some global influence. You will enjoy working in a collaborative team environment and will hold a ‘can do’ attitude with the passion to learn and grow.

At APAC, our people are our strength, which is why fostering a culture of diversity and inclusion is important to us.

Reporting of the role :-

This role reports to the Associate Director -Social

What your day job looks like at Hub:

·        Making Strategies and Planning

·        Execution and Optimization for Paid campaigns across social media platforms

·        Creating Performance reports & review deck for clients

·        Understanding the projects and client’s requirements & deliver accordingly.

What you’ll bring:

·        Should be able to multitask and handle multiple clients at one time

·        Hands on experience in social media advertising and ad creation & optimization 

·        Active interest in digital, Paid media, planning, strategizing, web analytics and other aspects of performance marketing.

·        Team Management

Minimum qualifications:

·        4-6 years of Experience of running paid social campaigns

·        In-depth knowledge of social platforms (Facebook, Twitter, LinkedIn, Snapchat etc.)

·        Have created Media plans for client briefs

·        Excellent communication and interpersonal skills

·        Proficiency in MS-Office and Social Media Management Tools like SocialFlow, Sprinklr, etc.

Responsibilities:

• Writing clean and efficient codes for iOS applications

• Supporting the entire application lifecycle from concept to design, testing, release and support

• Troubleshooting and bug fixes for applications, to ensure that codes are clean and secure

• Recommending changes and enhancements

• Staying up to date with new mobile technology trends, applications, and protocols

Required skills:

• Degree in Computer Science, Engineering or a related field

• You have prior experience as an iOS Developer

• You have a portfolio of released applications on the App Store

• You are familiar with mobile product and design lifecycles

• You have proven experience in iOS development in either Objective-C / Swift

• Experience with iOS frameworks (Eg. Core Data, Core Animation etc.)

• Familiarity with RESTful APIs to effectively integrate iOS applications

• Good understanding of iOS release cycle and familiarity with CI/CD platform and pipelines

• Proficient understanding of code versioning tools (eg. Git)

• Familiarity with various testing tools

Education - Any Graduate

Note - Send the design portfolio along with updated resume

Experience - 2+ Years

Job Description -
Must have good knowledge in Adobe - Photoshop, Illustrator and Corel draw, Indesign, 3ds max , Maya and Blender.

Solid knowledge of design and visual principles.
Demonstrated portfolio showing creative, design skills.
Great multi-tasking skills.

Job Type: Full-time

Expected Start Date: October 1^st, 2021

Role and responsibilities

• Expertise in AWS (Most typical Services),Docker & Kubernetes.
• Strong Scripting knowledge, Strong Devops Automation, Good at Linux
• Hands on with CI/CD (CircleCI preferred but any CI/CD tool will do). Strong Understanding of GitHub
• Strong understanding of AWS networking and. Strong with Security & Certificates.

Nice-to-have skills

• Involved in Product Engineering