Professional Development Consultant

About MyOperator

MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement.

Key Responsibilities

● Lead the entire channel sales cycle from identifying potential partners to driving recurring revenue.

● Recruit, onboard, and activate new channel partners across multiple regions and industries.

● Build and nurture strong partner relationships through structured business planning, regular engagement, and ongoing support.

● Conduct product training and sales enablement sessions to empower partners with the knowledge and tools needed for success.

● Track partner performance and ensure achievement of sales targets through regular reviews, dashboards, and performance insights.

● Collaborate closely with internal teams including Sales, Marketing, Product, and Customer Success to ensure alignment on partner requirements and success.

● Ensure adherence to commercial policies, compliance norms, and revenue-sharing structures.

● Take ownership of revenue targets for specific partner regions or verticals.

Requirements

1. Educational Qualification: Bachelor's degree in Business, Marketing, or a related field. MBA is a plus.

2. Work Experience: 3–5 years in channel sales, partnerships, or B2B sales, preferably in SaaS, Telecom, or Cloud Communication domains.

3. Partner Handling: Proven experience in onboarding, managing, and growing revenue through channel partners or resellers.

4. Sales Acumen: Strong understanding of the sales cycle, indirect sales models, and partner revenue contribution metrics.

5. Communication Skills: Excellent verbal and written communication for engaging partners and internal teams effectively.

6. Training & Enablement: Ability to conduct partner training sessions and share regular product/sales updates.

7. Analytical Skills: Competence in using CRM tools and analyzing partner performance reports.

8. Process Orientation: Strong follow-up, reporting, and documentation discipline to manage multiple partner accounts.

9. Self-Motivation: Highly driven with a proactive approach and ownership mindset; able to work with minimal supervision.

10. Willingness to Travel: Ready for occasional travel for partner meetings, onboarding, or events (if applicable).

Benefits

* Performance-Based Incentives: Attractive variable pay structure based on partner revenue contribution and performance milestones.

* Growth Opportunities: Fast-track career progression in a high-growth SaaS company with leadership visibility.

* Learning & Development: Access to training, mentorship, and cross-functional exposure to build strategic sales and partnership capabilities.

* Hybrid Work Flexibility: Flexibility to work remotely or from the office as per business needs.

* Collaborative Culture: Work with a passionate and ambitious team that values ownership, innovation, and transparency.

* Partner Network Exposure: Build a strong ecosystem presence with access to leading partners across India.

* Recognition Programs: Be part of regular internal recognition initiatives, awards, and appreciation events.

An excellent Python developer should have a higher understanding of the Python languages. They should be capable to accomplish a number of tasks using Python.Coordinating with development teams to find out the needs of the application.

• Using the Python programming language to create scalable code.
• Application testing and bug fixing.
• Creating the back-end elements.
• Utilising server-side logic to incorporate user-facing components.
• Evaluating and ranking customer feature requests.
• Integrating storage methods for data.
• Design and implementation of high-performance, low-latency applications.
• Working in concert with front-end programmers.
• Upgrading the functionality of current databases.
• Creating digital technologies to track online activity.

Skills Required ::

• Python Development
• C# Development
• .NET Framework / .NET Core
• REST API Development
• JSON Handling
• API Integrations
• Databases
• Query Optimization
• Git Version Control
• Azure DevOps
• Debugging & Troubleshooting
• Cloud Application Development

About Hudson Data

At Hudson Data, we view AI as both an art and a science. Our cross-functional teams — spanning business leaders, data scientists, and engineers — blend AI/ML and Big Data technologies to solve real-world business challenges. We harness predictive analytics to uncover new revenue opportunities, optimize operational efficiency, and enable data-driven transformation for our clients.

Beyond traditional AI/ML consulting, we actively collaborate with academic and industry partners to stay at the forefront of innovation. Alongside delivering projects for Fortune 500 clients, we also develop proprietary AI/ML products addressing diverse industry challenges.

Headquartered in New Delhi, India, with an office in New York, USA, Hudson Data operates globally, driving excellence in data science, analytics, and artificial intelligence.

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About the Role

We are seeking a Data Analyst & Modeling Specialist with a passion for leveraging AI, machine learning, and cloud analytics to improve business processes, enhance decision-making, and drive innovation. You’ll play a key role in transforming raw data into insights, building predictive models, and delivering data-driven strategies that have real business impact.

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Key Responsibilities

1.⁠ ⁠Data Collection & Management

• Gather and integrate data from multiple sources including databases, APIs, spreadsheets, and cloud warehouses.

• Design and maintain ETL pipelines ensuring data accuracy, scalability, and availability.

• Utilize any major cloud platform (Google Cloud, AWS, or Azure) for data storage, processing, and analytics workflows.

• Collaborate with engineering teams to define data governance, lineage, and security standards.

2.⁠ ⁠Data Cleaning & Preprocessing

• Clean, transform, and organize large datasets using Python (pandas, NumPy) and SQL.

• Handle missing data, duplicates, and outliers while ensuring consistency and quality.

• Automate data preparation using Linux scripting, Airflow, or cloud-native schedulers.

3.⁠ ⁠Data Analysis & Insights

• Perform exploratory data analysis (EDA) to identify key trends, correlations, and drivers.

• Apply statistical techniques such as regression, time-series analysis, and hypothesis testing.

• Use Excel (including pivot tables) and BI tools (Tableau, Power BI, Looker, or Google Data Studio) to develop insightful reports and dashboards.

• Present findings and recommendations to cross-functional stakeholders in a clear and actionable manner.

4.⁠ ⁠Predictive Modeling & Machine Learning

• Build and optimize predictive and classification models using scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, and H2O.ai.

• Perform feature engineering, model tuning, and cross-validation for performance optimization.

• Deploy and manage ML models using Vertex AI (GCP), AWS SageMaker, or Azure ML Studio.

• Continuously monitor, evaluate, and retrain models to ensure business relevance.

5.⁠ ⁠Reporting & Visualization

• Develop interactive dashboards and automated reports for performance tracking.

• Use pivot tables, KPIs, and data visualizations to simplify complex analytical findings.

• Communicate insights effectively through clear data storytelling.

6.⁠ ⁠Collaboration & Communication

• Partner with business, engineering, and product teams to define analytical goals and success metrics.

• Translate complex data and model results into actionable insights for decision-makers.

• Advocate for data-driven culture and support data literacy across teams.

7.⁠ ⁠Continuous Improvement & Innovation

• Stay current with emerging trends in AI, ML, data visualization, and cloud technologies.

• Identify opportunities for process optimization, automation, and innovation.

• Contribute to internal R&D and AI product development initiatives.

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Required Skills & Qualifications

Technical Skills

• Programming: Proficient in Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, H2O.ai).

• Databases & Querying: Advanced SQL skills; experience with BigQuery, Redshift, or Azure Synapse is a plus.

• Cloud Expertise: Hands-on experience with one or more major platforms — Google Cloud, AWS, or Azure.

• Visualization & Reporting: Skilled in Tableau, Power BI, Looker, or Excel (pivot tables, data modeling).

• Data Engineering: Familiarity with ETL tools (Airflow, dbt, or similar).

• Operating Systems: Strong proficiency with Linux/Unix for scripting and automation.

Soft Skills

• Strong analytical, problem-solving, and critical-thinking abilities.

• Excellent communication and presentation skills, including data storytelling.

• Curiosity and creativity in exploring and interpreting data.

• Collaborative mindset, capable of working in cross-functional and fast-paced environments.

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Education & Certifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• Master’s degree in Data Analytics, Machine Learning, or Business Intelligence preferred.

• Relevant certifications are highly valued:

• Google Cloud Professional Data Engineer

• AWS Certified Data Analytics – Specialty

• Microsoft Certified: Azure Data Scientist Associate

• TensorFlow Developer Certificate

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Why Join Hudson Data

At Hudson Data, you’ll be part of a dynamic, innovative, and globally connected team that uses cutting-edge tools — from AI and ML frameworks to cloud-based analytics platforms — to solve meaningful problems. You’ll have the opportunity to grow, experiment, and make a tangible impact in a culture that values creativity, precision, and collaboration.

About the Role

At Ceryneian, we’re building a next-generation, research-driven algorithmic trading platform aimed at democratizing access to hedge fund-grade financial analytics. Headquartered in California, Ceryneian is a fintech innovation company dedicated to empowering traders with sophisticated yet accessible tools for quantitative research, strategy development, and execution.

Our flagship platform is currently under development. As a Backend Engineer, you will play a foundational role in designing and building the core trading engine and research infrastructure from the ground up. Your work will focus on developing performance-critical components that power backtesting, real-time strategy execution, and seamless integration with brokers and data providers. You’ll be responsible for bridging core engine logic with Python-based strategy interfaces, supporting a modular system architecture for isolated and scalable strategy execution, and building robust abstractions for data handling and API interactions. This role is central to delivering the reliability, flexibility, and performance that our users will rely on in fast-moving financial markets.

We are a remote-first team and are open to hiring exceptional candidates globally.

Core Tasks

·      Build and maintain the trading engine core for execution, backtesting, and event logging.

·      Develop isolated strategy execution runners to support multi-user, multi-strategy environments.

·      Implement abstraction layers for brokers and market data feeds to offer a unified API experience.

·      Bridge the core engine language with Python strategies using gRPC, ZeroMQ, or similar interop technologies.

·      Implement logic to parse and execute JSON-based strategy DSL from the strategy builder.

·      Design compute-optimized components for multi-asset workflows and scalable backtesting.

·      Capture real-time state, performance metrics, and slippage for both live and simulated runs.

·      Collaborate with infrastructure engineers to support high-availability deployments.

Top Technical Competencies

·      Proficiency in distributed systems, concurrency, and system design.

·      Strong backend/server-side development skills using C++, Rust, C#, Erlang, or Python.

·      Deep understanding of data structures and algorithms with a focus on low-latency performance.

·      Experience with event-driven and messaging-based architectures (e.g., ZeroMQ, Redis Streams).

·      Familiarity with Linux-based environments and system-level performance tuning.

Bonus Competencies

·      Understanding of financial markets, asset classes, and algorithmic trading strategies.

·      3–5 years of prior Backend experience.

·      Hands-on experience with backtesting frameworks or financial market simulators.

·      Experience with sandboxed execution environments or paper trading platforms.

·      Advanced knowledge of multithreading, memory optimization, or compiler construction.

·      Educational background from Tier-I or Tier-II institutions with strong computer science fundamentals, a passion for scalable system design, and a drive to build cutting-edge fintech infrastructure.

What We Offer

·      Opportunity to shape the backend architecture of a next-gen fintech startup.

·      A collaborative, technically driven culture.

·      Competitive compensation with performance-based bonuses.

·      Flexible working hours and a remote-friendly environment for candidates across the globe.

·      Exposure to financial modeling, trading infrastructure, and real-time applications.

·      Collaboration with a world-class team from Pomona, UCLA, Harvey Mudd, and Claremont McKenna.

Ideal Candidate

You’re a backend-first thinker who’s obsessed with reliability, latency, and architectural flexibility. You enjoy building scalable systems that transform complex strategy logic into high-performance, real-time trading actions. You think in microseconds, architect for fault tolerance, and build APIs designed for developer extensibility.

Data Engineer - Python

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Use Python web frameworks such as Dash or Streamlit to make latency data accessible to end users.
• Leverage OpenAI API to analyse and generate insights by using latency data and provide visualization interface to end users.
• Improve the Latency Data API to provide seamless access to latency data for end users, including researchers, support, and other teams within QRT.
• Optimize and fine-tune Large Language Models (LLMs) for use cases in natural language understanding, data processing, and predictive modelling. 

Your present skillset

• 4+ years' experience in a related field
• Advanced Python and OpenAI API proficiency.
• Good with LLM Concepts.
• Experience with large data sets, visualizations, and reports.
• High standards in code quality and development practices.
• Proficiency in managing structured/unstructured data.
• Expertise in scalable data systems.
• Strong AI/ML skills for pattern and anomaly detection.
• Experience with CI/CD processes and DevOps.
• Experience in the financial/trading sector.
• Familiarity with latency-sensitive systems and performance optimization

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Senior Software Engineer

The Company strives to provide a great service and to deliver excellent user experiences that improve the value of our customers.

We are seeking a new developer to join our development team. We work on a variety of projects using various exciting technologies such as Ruby on Rails, AWS, and JS frameworks such as Node and React to build outstanding webapps and provide business support to meet our customer's needs.

The ideal candidate will be someone who loves to learn and is willing to look for new and innovative solutions to problems and challenges for our customers. They may or may not have a wealth of experience but, the willingness to learn, try new things, and can think problems through and analyze available options is more meaningful, we can guide you the rest. You will have opportunities to combine your technical ability, critical thinking, and design experience.

• Ability to communicate clearly. Programming isn't just about writing code, it's about being able to communicate ideas with your team, customers, and the machine
• Keen desire to We are constantly aspiring to improve our work and ourselves, by constantly learning we can do this.
• Self-motivated. Even if a decision turns out to be wrong, this is better than being Trying and learning from failures is hugely valuable.
• Knowing when to ask for Try for as long as you can but if you get stuck, ask for help. Your teammates are here to support you and your development.
• Critical Be able to base decisions on the information available, not just blindly accepting solutions without investigation.

• Strong programming experience. We primarily write in Ruby, so experience here is a
• Knowledge of Object-Oriented design patterns as well as Test-Driven
• Be familiar with Rails, Sinatra, etc, and how these can be used to implement RESTful
• Knowledge of RDBMS such as Postgres or MySQL and SQL to run queries against

• Knowledge of any AWS systems such as EC2, Lambda, RDS,
• Knowledge of API design patterns, REST, RPC, and can explain the advantages and disadvantages.
• Knowledge of DevOps skills such as Terraform, CI/CD,

• We are looking for a versatile, highly professional, disruptive, and focused individual who pays attention to detail and has an eye for quality delivery. The individual must have team collaboration skills and be an active listener and communicator; someone who'd come not just with problems but suggestive solutions.

•  Bachelors / Masters in Computer Science
•  Excellent communication and presentation skills
•  The candidate should also have knowledge of the industry and ability to work under pressure
•  An indefatigable person with high self-esteem and perspicacious nature is that kind of person
•  who will thrive in this role

• Must have worked in an environment where they know when to perform what kind of testing; say smoke, regression, integration, sanity
• Must have test plan, strategy, cases development experience.
• Knowledge on Android/iOS app testing (usage of Debugging tools relevant is added bonus)
• Must know to prioritize work items based on the business need
• Knows how to handle tough timelines situations and not compromise quality.
• Must have experience in product management methodology such as agilenon-process oriented environment
• Should have experience in any of the ALM tools such as TFS JIRA or even be open to build application reporting structure in excel.
• Analyzing the requirements from clients
• Analyzing and executing Test Cases
• Run Re-Tests and Regression Tests.
• Develop & Run Release Tests

React Native Application Developer

Job Description

•       As a React Native Developer, your responsibility will include creating a suite of applications and improving the functions of applications in development.
•       Experience in building a React or Native mobile app with traffic at scale
•       Ability to architect, refractor and debug an app without disrupting users
•       Proficient with mobile application life cycles
•       Should have multiple apps deployed to the App Store, Google Play Store and deep knowledge of the distribution processes
•       Understanding of unit and functional testing best practices.
•       Should be able to dive into the source code of front end libraries to debug, patch and extend them when necessary
•       Can take a defined software design and turn it into code.
•       Understands how to optimize the delivery of code and assets (e.g., images, fonts) to a browser or device (e.g., lazy loading assets, using CDNs, caching, compression, etc.).
•       Experience with React Js, React Native, JavaScript including DOM Manipulation and the JavaScript object model. Exp with integrated JSON is a must.
•       Thorough understanding of React Native and its core Principles. Hands-on experience on React Native Framework at least 2 Years.

What you will do

•       Working collaboratively in building products and services.
•       Designing mobile-based features, impacting Customer's Digital Experience
•       Taking ownership of the entire software development lifecycle for mobile application
•       Collaborating with cross-functional teams to define design and add new features
•       Ensuring the performance, quality and responsiveness of the applications.
•       Understanding end-user requirements and use cases and translating them into a pragmatic and effective technical solution

Required Candidate profile

•       Capability to perform both independently and in a team
•       Ideal Candidate - Must be open to work on new technologies, versatile and capable of accepting new challenges.
•       Good Knowledge of HTML5, CSS