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Hi
Greetings from Anlage Infotech (India) Pvt. Ltd.
We are looking for Storage Engineer (L3) support in the Mumbai location with one of our trusted clients.
Please find the below JD:
Storage Engineer –L3
· Must have skills: HP or EMC or Netapp. HP is preferred.
Experience: 6 years - 14 years
NP: Preferred Immediate to 30 days
Location: Mumbai
PythonAbout 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.
Quantitative R&D Engineer
As a Quantitative R&D Engineer, you’ll explore data and design logic that becomes live trading strategies. You’ll bridge the gap between raw research and deployed, autonomous capital systems.
What You’ll Work On
- Analyze on-chain and market data to identify inefficiencies and behavioral patterns.
- Develop and prototype systematic trading strategies using statistical and ML-based techniques.
- Contribute to signal research, backtesting infrastructure, and strategy evaluation frameworks.
- Monitor and interpret DeFi protocol mechanics (AMMs, perps, lending markets) for alpha generation.
- Collaborate with engineers to turn research into production-grade, automated trading systems.
Ideal Traits
- Strong in data structures, algorithms, and core CS fundamentals.
- Proficiency in any programming language
- Understanding of probability, statistics, or ML concepts.
- Self-driven and comfortable with ambiguity, iteration, and fast learning cycles.
- Strong interest in markets, trading, or algorithmic systems.
Bonus Points For
- Experience with backtesting or feature engineering.
- Exposure to crypto primitives (AMMs, perps, mempools, etc.)
- Projects involving alpha signals, strategy testing, or DeFi bots.
- Participation in quant contests, hackathons, or open-source work.
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.
Java
Kotlin
Android DevelopmentAn online discovery platform for premium products and services.
Position: Android Engineer
What shall be expected of you:
Collaborate with cross-functional teams to define, design, and ship new features.
Work with outside data sources and API's.
Work on bug fixing and improving application performance.
Continuously discover, evaluate, and implement new technologies.
Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
You must have:
1-3 years of prior hands-on experience in building high-performance android applications.
Exceptional development skills in Kotlin and Java.
Published at least two original Android apps on the
play store.Solid understanding of the full mobile development life cycle.
Prior experience in building consumer applications.
Would be awesome if you are also good at:
Firebase (Events, notifications, storage)
Integration of attribution tools (Singular/ Appsflyer/ branch)
Integration of customer engagement platforms (Clevertap/ WebEngage/ MoEngage Android Engineer.
An online discovery platform for premium products and services.
Job Requirements:
- Strong command over language
- Strong visualisation skills
- Highly skilled with creating content and understanding the needs of the client and delivering the right grammar for the audience for each piece of content
- Can effectively research and organise data for all related topics for various industries/businesses
- Can create and edit original copy that is accurate, well-researched, and meets client/company needs and deadlines.
- Should have enough experience with creating content for B2B and for B2C marketing
- Should have written for videos, blogs, websites, podcasts,etc.
- Having worked on content for corporate videos/ explainers will be an added advantage.
- Can work well under pressure and to tight timelines
- Exposure to understanding the video production process would be an added benefit
- Understanding of global quality and trends in marketing content and content writing
Qualifications:
- Strong creative vision, insight-driven, problem solving skills and understanding of business objectives and brand strategy
- A proven track record of leading and managing teams.
- Great communication and presentation skills
- Exceptional writing skills
- Ability to craft engaging and persuasive content that resonates with the target audience while adhering to brand guidelines and voice.
- Capacity to think outside the box and develop unique angles and approaches to communicate messages effectively.
- Ability to conduct thorough research to understand client needs, brand positioning, and competitive landscapes.
- The ability to work well under pressure and adhere to tight deadlines
NodeJS (Node.js)As a Development Lead, you will oversee and lead a team of software developers. Your primary goal is to guide the team towards successful development of high-quality software, while fostering a collaborative and productive environment.
Responsibilities:
• Oversee the development of scalable, reliable, and cost-effective software solutions
with an emphasis on quality, best-practice coding standards, and cost-effectiveness.
• Build rapid technical prototypes for early validation of new technologies.
• Rapidly identify and resolve technical incidents as they emerge.
• Collaborate effectively with other application teams to help building the right offerings
for our client delivery platform.
• Collaborate with product owners to translate complex business requirements into
technical solutions, providing leadership in the design and architecture processes.
• Stay informed about the latest technology and methodology by participating in industry
forums, having an active peer network, and engaging actively with customers.
• Cultivate a team environment focused on continuous learning, where innovative
technologies are developed and refined through collaborative effort.
Salary is not a constraint and right candidates will be paid up to 28 Lakhs
Key Skills:
• 7+ years of experience as a lead in leading and managing software development teams.
• Proficiency in Backend and Frontend technologies (NodeJS and ReactJS).
• Knowledge of best practices for API development in distributed environments;
• Coding complex modules.
• Code review and enforcing best practices.
• Impeccable written and verbal communication skills with the ability to present, explain
and defend design concepts in team and stakeholder meetings.
• Demonstrated ability to prioritize tasks effectively, delivering work with speed and high
quality.
• Hands-on experience with engineering principles and design patterns.
• Passionate about writing clean, reusable and maintainable code.
• Building a knowledge base of the latest programming trends, best practices, and
methodologies.
Key Responsibilities:
- Manage and grow sales across multiple marketplaces such as Amazon and Flipkart and quick commerce platforms such as Zepto, Blinkit, Swiggy Instamart, and Dunzo.
- Develop and execute strategies for product listings, pricing, promotions, and inventory management.
- Build strong relationships with account managers across marketplaces and quick commerce platforms.
- Optimize product visibility and performance through SEO, A+ content, paid ads, and promotional campaigns.
- Analyze sales data to forecast demand, identify growth opportunities, and maximize revenue.
- Ensure smooth coordination of operations, from order fulfilment to returns management.
- Coordinate with the internal marketing team for content creation and marketing campaigns.
- Monitor and adapt to evolving marketplace algorithms, policies, and competitor activity.
Key Skills:
- Strong understanding of e-commerce and quick commerce ecosystems.
- Proven experience in managing multi-channel marketplace operations.
- Expertise in tools and strategies for marketplace sales optimization.
- Analytical mindset with proficiency in sales forecasting and performance tracking.
- Excellent negotiation and communication skills.
- Prior experience of managing marketplaces in D2C business required. Experience in nutraceuticals, wellness, or FMCG sector is a plus.
We are looking for a Human Resources Manager that is committed to recruiting top talent, and providing our staff members with an exceptional work experience. From the moment of hire until the time they leave the organization, we want employees to be engaged in their jobs. Our ideal candidate will be skilled in managing compensation, benefits, recognition, training, performance management and employee relations in a manner that retains staff members long-term and builds our employer brand. We are proud of the diversity in our workforce, and our Human Resources Manager is tasked with ensuring that our company culture welcomes a diverse population and supports each person in achieving career goals within the organization.
Key Responsibilities:
- Develop and implement HR strategies and initiatives aligned with the overall business strategy.
- Bridge management and employee relations by addressing demands, grievances or other issues
- Manage the recruitment and selection process.
- Support current and future business needs through the development, engagement, motivation and preservation of human capital.
- Develop and monitor overall HR strategies, systems, tactics and procedures across the organization
- Nurture a positive working environment.
- Oversee and manage a performance appraisal system that drives high performance.
- Maintain pay plan and benefits program.
- Assess training needs to apply and monitor training programs.
- Report to management and provide decision support through HR metrics.
- Ensure legal compliance throughout human resource management.
Requirements:
- Proven working experience as HR Manager or other Sr HR Executive.
- People oriented and results driven.
- Demonstrable experience with Human Resources metrics.
- Knowledge of HR systems and databases.
- Ability to architect strategy along with leadership skills.
- Excellent active listening, negotiation and presentation skills.
- Competence to build and effectively manage interpersonal relationships at all levels of the company.
- In-depth knowledge of labour law and HR best practices.
- Degree in Human Resources or related field
Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
We are currently looking for "Business Development Executive" for US IT staffing for our branch office in Noida.
Location:
Head Field Solutions Pvt. Ltd
B-8, Sector 59 (Noida)
Job Profile:
It is a sales position responsible for developing, maintaining, and growing business within the IT/Engineering niche.
Activities include client development, meeting sales objectives, obtaining requisitions/job orders, building relationships, penetrating client accounts and ensuring delivery.
Roles & Responsibilities:
- The primary focus is to bring new business from new and existing clients.
- Define and develop lead generation strategies and marketing plans for new accounts & to further penetrate existing accounts.
- Maintains an ongoing relationship with prospective clients, continuously assessing and communicating how Head Field as a Staffing Solutions can meet their needs.
- Negotiates contractual terms and conditions for employment services, and works with the operations and recruiting teams to ensure smooth handoffs.
- The candidate should:
- Work on getting Contract Staffing requirements from direct clients /Tier-1 Vendors and closing open positions.
- Cold calling and Market research to locate the potential Vendors/Clients.
- Should provide timely feedback to the management regarding performance, activity reports and account strategy concerns.
- Expertise generating new business for IT Staff Augmentation Services.
- Excellent interpersonal, rapport-building and negotiation skills.
- Expert in Delivery Management / Client Servicing.
Desired candidates profile:
The candidate must possess a proven ability to prospect, develop business and build relationships.
- 0-3 years of experience as BDE/BDM in US Staffing.
- In addition, they must demonstrate a strong customer focus and personal leadership and solid negotiation and presentation skills.
- Individuals experienced in sales and account management who are persistence and have a strong drive to win over new clients and build new business are the best fit.
Benefits:
- Employee friendly Corporate Work culture
- Excellent Salary structure
- Timings are fixed (6:30 pm to 3:30 am) with Saturday and Sunday Off
- Best in class infrastructure
- In-House Meals are available.
iOS App Development
Objective C
Swift● 1+ years in developing applications on iOS.
● Experience working within consumer applications with a high amount of active
users.
● Strong foundation in computer science, data structures, algorithms and software
design.
● Worked directly with teams or team members in different time zones.
● Graduate in technical discipline (or equivalent working experience)
● Plus: Firebase, Good communication Skills
● Please attach Play store/ AppStore links of your apps with the application
HTML/CSS
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