
Job Title: Lead Generation Specialists
Location: Ground Floor, MCT House, New Friends Colony, New Delhi – 110025
Salary: Best in the industry
About the Role:
We are looking for a result-driven lead generation specialist to join our team. The role requires strong communication skills in English, basic Excel proficiency, and experience in selling IT products over the phone. You will be responsible for calling prospects, generating leads, and setting up appointments with interested clients.
Key Responsibilities:
Make outbound calls to potential clients (data will be provided)
Explain IT products/solutions clearly and confidently
Set appointments with interested leads for follow-up by the sales team
Focus on companies based in the UAE, with occasional outreach to KSA
Record daily activity and results using basic Excel
Meet lead generation and call volume targets
Requirements:
Strong spoken English communication skills
1–2 years of experience in lead generation (preferably in the IT sector)
Familiarity with IT products is a plus
Basic Excel skills for maintaining reports
High energy and productivity, with the ability to make a large volume of calls daily
Qualification:
Bachelor’s degree preferred

About Aatish Management Consultants OPC Pvt Ltd
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What we offer:
- A multi-disciplinary role with tremendous opportunity to learn and grow in an early-stage startup.
- An open work culture - We are committed to diversity, inclusion, and equal opportunity.
- Flexible working hours and leave policy.
Description:
As the Operations Manager, you will analyse the current state operations, propose workflows and tools that drive improvements to the app or for addressing country-specific needs. Identify and execute on opportunities, to streamline workflows and increase collaboration and productivity across the team. You will proactively track risks/issues with development, ensure business requirements are met, and advocate for future enhancements. Support the leadership team in implementing new ideas effectively within the Uable culture and manage change to maximise adoption of new tools or processes. Define operational metrics and develop reporting tools as needed, for leadership to understand business performance.
Your role/responsibilities:
- Understand the operational framework and work on efficient delivery mechanisms for customer support, Event management & programme management
- Build effective processes to handle escalations ensuring a high level of customer satisfaction.
- Work closely with learning design, product, growth, analytics teams to manage/execute the right processes.
- Ability to partner with global cross-functional business partners, engineering teams, and senior management, to identify and define short-term and long-term solutions to operational challenges.
- Leadership experience in process improvement and programme management experience in startups is a plus
- Coordinating cross function for implementing and execution of events, managing communication, managing event feedback surveys, handling post-event reports.
- Manage our events calendar, assisting with event marketing, monitoring timeframes, and delivering on event brief objectives.
Skills/Qualifications (good to have):
- Have a proactive outlook to problem-solving and willingness to adapt in a highly demanding, collaborative, and fast-paced environment with rapidly changing direction and new challenges
- Proficient in Office Suite and Lead Management Software & project management skills
- Work with the Product Owners and coordinate with project managers and other departments to get projects released on time.
- Ability to manage, monitors and measures project portfolio status, recommending corrective action as necessary, and communicate portfolio status to their management.
- Ability to participate in interviewing, hiring, and training team members; plan, assign, and direct work; appraise performance; reward and discipline team members; address complaints and resolve problems
- Relentless focus on operational excellence by setting the right processes and improving efficiency at every step and balance attention to detail with swift execution.
- Strong quantitative analytical skills and experience developing dashboards and reporting tools using spreadsheet applications, Tableau, etc. a plus.
- Knowledge of the iOS, macOS, and App Store ecosystem a plus.
Personality:
- You are a driven and curious person with the aptitude and agility to learn.
- You are an extrovert and a leader who has built great teams and a team player with great interpersonal skills.
- You are detail and process-oriented person by nature. A natural problem solver and a go-getter.
- You don’t settle with what-is, you constantly strive for excellence.
- You are an explorer with the ability to investigate and get the data; define and work on multiple tasks and complete work within deadlines.
- You are a clear and concise communicator with the ability to synthesize a lot of information quickly, highlight the key takeaways, and disseminate actionable insights.


- 4 to 7 years of experience (or equivalent understanding of software engineering)
- Strong in Javascript & Typescript + frameworks like React, Next.js, Angular, etc.
- Strong experience in architecting complex, distributed systems in public or private cloud
- Willingness and interest in learning new tech/processes (Python, Airflow, Postgres, etc.)
- Willingness to travel to offices in New York City, San Francisco, and Hyderabad


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.

Technical Skills:
Minimum 2 to 10 years of Experience in Software Development.
Hands on experience in
Back End Development - Node/ Nest JS, Postgre Sql, Micro services,
Kafka, Netflix OSS stack, AWS
Front End Development - Mobile & web technologies, ReactJS and
ionic
Desirable – Healthcare/ AI project experience, TCP/IP and UDP
experience etc.,




Job Description
Want to make every line of code count? Tired of being a small cog in a big machine? Like a fast-paced environment where stuff get DONE? Wanna grow with a fast-growing company (both career and compensation)? Like to wear different hats? Join ThinkDeeply in our mission to create and apply Enterprise-Grade AI for all types of applications.
Seeking an M.L. Engineer with high aptitude toward development. Will also consider coders with high aptitude in M.L. Years of experience is important but we are also looking for interest and aptitude. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility.
Experience
10+ Years
Location
Bozeman/Hyderabad
Skills
Required Skills:
Bachelors/Masters or Phd in Computer Science or related industry experience
3+ years of Industry Experience in Deep Learning Frameworks in PyTorch or TensorFlow
7+ Years of industry experience in scripting languages such as Python, R.
7+ years in software development doing at least some level of Researching / POCs, Prototyping, Productizing, Process improvement, Large-data processing / performance computing
Familiar with non-neural network methods such as Bayesian, SVM, Adaboost, Random Forests etc
Some experience in setting up large scale training data pipelines.
Some experience in using Cloud services such as AWS, GCP, Azure
Desired Skills:
Experience in building deep learning models for Computer Vision and Natural Language Processing domains
Experience in productionizing/serving machine learning in industry setting
Understand the principles of developing cloud native applications
Responsibilities
Collect, Organize and Process data pipelines for developing ML models
Research and develop novel prototypes for customers
Train, implement and evaluate shippable machine learning models
Deploy and iterate improvements of ML Models through feedback

- Portfolio is must for the profile.
- Good understanding of Javascript, CSS, HTML5, AJAX.
- Hands on with React JS.
- Understanding of responsive frameworks such as BootStrap or SemanticUI.
- Extensive knowledge of DOM scripting with native JavaScript and JS frameworks such as jQuery.
- Experience in delivering Cross-browser and cross platform compatible solutions.
- Basic knowledge of UI design.
- Excellent problem-solving and analytical abilities.
- Experience with agile development practices such as continuous integration and deployment.
- Fluency with version control platform Git.
- Minimum 1+ years of UI development experience.

