
Managers, Developers) to define requirements and design the solutions. It is an IC role.
● Design intuitive and simple user interfaces for mobile and web solutions,
producing journey maps, storyboards, mock-ups.
● Rapidly translate concepts into user flows, wireframes, mock-ups, and
prototypes that lead to intuitive user experiences. Design UI for Mobile and
Web applications with a special focus on Data Visualizations
● Innovate with evolving customer experience in terms of applying
technologies and business models
● You will be challenged to understand business needs and user’s
perspectives and put them in a cohesive design that is simple but elegant.
You will also be expected to design the overall functionality of the product,
and to have the best user experience, iterate upon it per user testing
Requirements
● 1-5 years of experience as UI/UX Designer (and/or Interaction Designer)
with experience working with internal or external stakeholders. Preferably
at a growth stage consumer product startup.
● Proficiency with design tools like Figma, Adobe Suite, and collaborative
tools like Notion, Airtable.
● Experience in designing mobile applications for users that are not so
technically literate
● A portfolio of previous work must be presented incorporating UI designs
and/or sketches that demonstrate an understanding of wireframing,
interaction design, visual design, and design best practices.
● Ability to work alone and on tight timelines.

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Responsibilities
• Model Development and Optimization: Design, build, and deploy NLP models, including transformer models (e.g., BERT, GPT, T5) and other SOTA architectures, as well as traditional machine learning algorithms (e.g., SVMs, Logistic Regression) for specific applications.
• Data Processing and Feature Engineering: Develop robust pipelines for text preprocessing, feature extraction, and data augmentation for structured and unstructured data.
• Model Fine-Tuning and Transfer Learning:
Fine-tune large language models for specific applications, leveraging transfer learning techniques, domain adaptation, and a mix of deep learning and traditional ML models.
• Performance Optimization: Optimize model performance for scalability and latency, applying techniques such as quantization, ONNX formats etc.
• Research and Innovation: Stay updated with the latest research in NLP, Deep Learning, and Generative AI, applying innovative solutions and techniques (e.g., RAG applications, Prompt engineering, Self-supervised learning).
• Stakeholder Communication: Collaborate with stakeholders to gather requirements, conduct due diligence, and communicate project updates effectively, ensuring alignment between technical solutions and business goals.
• Evaluation and Testing: Establish metrics, benchmarks, and methodologies for model evaluation, including cross-validation, and error analysis, ensuring models meet accuracy, fairness, and reliability standards. • Deployment and Monitoring: Oversee the deployment of NLP models in production, ensuring seamless integration, model monitoring, and retraining processes.
Organization’s Profile: Head Field has been a formidable player in the outsourcing business market for
more than a decade. Started with a vision to help businesses abroad recruit talent from India, our
company now includes other services in its basket of offerings such as Virtual Assistance, Legal Process
Outsourcing, Artifique, Accounting Process Outsourcing, Filming and Editing, IT and many more. We
operate 24/7, serving clients worldwide.
Title: Business Development Associate/ Executive
Location: Sector -57, Noida, U.P
Summary: We are seeking a dynamic and results’ driven "Business Development Executive/ Associate"
to join our team. The ideal candidate will be responsible for identifying and exploring business
opportunities, engaging with corporate B2B clients and facilitating strategies to drive business growth.
This role demands a strategic thinker with excellent communications and negotiation skills.
Job Profile: It is a B2B sales position responsible for developing, maintaining, and growing business
within a diversified line of businesses. Activities include client acquisition, meeting business objectives,
obtaining requisitions/job orders, building client relationships, penetrating client accounts and ensuring
smooth delivery.
Work Responsibilities:
• The candidate will be responsible for generating new leads (lead generation), making
introductory calls, and performing market research to identify and attract potential clients.
• Build effective working relationships with the Clients; be a trusted advisor and a business
advocate.
• Work with the manager to follow up, escalate, and clear blockers as appropriate.
• Conduct market research and competitive analysis to help shape marketing strategies and
identify new opportunities for expansion.
• Maintains an ongoing relationship with prospective clients, continuously assessing and
communicating how Head Field can meet their needs.
• Negotiates terms and conditions for employment services contracts and collaborates with the
operations team to ensure seamless transitions.
• Managing Lead generation activities through various channels, including prospective outreach,
networking, and outreach campaigns.
• Develop and nurture relationships with prospective clients, converting leads into qualified
business opportunities.
• Work closely with the legal team to manage contract creation, review, and finalization, ensuring
compliance and alignment with company policies.
`
• Stay up-to-date on market trends, client needs, and competitive landscape to continuously refine
lead generation and sales approaches.
🚨 We're Hiring – Fresh M.Com Graduates & Experienced Professionals to join Our Commercial & Finance Team! 🚨
We’re looking for talented professionals to join our commercial team across North & West India (Gujarat and Jaipur)!
🔹 Experienced Profiles (40 openings):
🎓 M.Com / CA Inter | 2+ yrs in Finance
💡 Tier 2/3 college background preferred
💰 CTC: Upto ₹4.5 LPA
🔹 Freshers (20 openings):
🎓 M.Com (2025 pass-outs)
💡 Strong grasp of financial basics
📝 Type: Fixed Term Appointment (FTA)
📍 Location: PAN India
• Drive revenue growth through marketing channels
• Work with Inside sales team to deliver consistent business growth
• Enhance the web properties of the company while ensuring optimum SEO and SEM effort towards discoverability
• Set up a social media strategy for the brand with a disproportionate effort towards developing a compelling LinkedIn presence and outreach
• Would be responsible for ensuring sustained thought leadership for the company in the performance engineering category by creating a strong content management engine
• Plan and deliver successful webinars every quarter
• Drive Video Marketing - Solution / Products showcase, Demo, Testimonial and Case Studies
• Create customer presentations and contribute in building key proposals Build Community/s
• Branding / Messaging: Define and refine messaging for the ICP
• Generate value through Event marketing
• Would be expected to lead all communication effort including internal communication, public relations and analyst relations.


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.

Responsibilities: Developing the latest user facing features using React.js Designing a modern highly responsive web - based user interfaceBuilding reusable components and front - end libraries for future use Translating designs and wireframes into high - quality codeLearn and understand user interactions Optimising components for maximum performance across a vast array of web - capable devices and browsers
Coordinating with various teams working on distinct layers.As a React.js Developer, you will be involved from conception to completion with projects that are technologically sound and aesthetically impressive
Freshers are welcome. stipend : 5K
Non - technical skills: Team player Excellent time
management skills Great interpersonal and communication skills.
- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub.
- Experience in migrating on-premise data warehouses to data platforms on AZURE cloud.
- Designing and implementing data engineering, ingestion, and transformation functions
-
Azure Synapse or Azure SQL data warehouse
-
Spark on Azure is available in HD insights and data bricks
- Experience with Azure Analysis Services
- Experience in Power BI
- Experience with third-party solutions like Attunity/Stream sets, Informatica
- Experience with PreSales activities (Responding to RFPs, Executing Quick POCs)
- Capacity Planning and Performance Tuning on Azure Stack and Spark.
Location - Remote till covid ( Hyderabad Stacknexus office post covid)
Experience - 5 - 7 years
Skills Required - Should have hands-on experience in Azure Data Modelling, Python, SQL and Azure Data bricks.
Notice period - Immediate to 15 days


