AI/ML Engineer

We are looking for an experienced and dynamic Senior Business Analyst to join our growing team. If you have strong analytical skills and a passion for delivering data-driven solutions, we’d love to connect with you!

📍 Position: Business Analyst

📌 Location: Mohali - 8B

🕒 Experience: 3+ Years

🔹 𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬:

• Requirements Documentation: Develop, manage, and maintain BRD, FRD, and SRS documents to ensure clear understanding and alignment among stakeholders.
• Wireframing: Create detailed wireframes and process flows to visualize project workflows and user interfaces using tools like Figma.
• Project Task Creation & Management: Plan, assign, and track project tasks to ensure timely and successful delivery.
• User Acceptance Testing (UAT): Lead and coordinate UAT activities to validate that solutions meet defined business requirements.
• Stakeholder Collaboration: Work closely with cross-functional teams and clients to ensure smooth communication and project execution.
• Process Improvement: Identify gaps in existing processes and implement improvements to enhance operational efficiency.

🔹 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬:

• Strong analytical and problem-solving abilities.
• Excellent communication and documentation skills.
• Proficiency in tools such as JIRA, Asana, and Figma.
• Strong understanding of SDLC and Agile methodologies.
• Experience with data visualization tools like Power BI and Excel (preferred).

SaveIN is a fintech platform that aims to offer unique financial products and services to its members in a never seen before, fully digital avatar through its mobile app on Google and Apple play store. You can also call us a neo-banking platform!

Founded by a group of experienced CXOs from Banking, Fintech, Consulting and Media, SaveIN is working towards disrupting the way Indians transact, bank and save money.

At present, SaveIN is offering a revolutionary, new to market, product called Social Finance (SoFin™) allowing users to lend and borrow money, within their trusted contacts like family, friends and acquaintance. In due course, SaveIN aims to launch several other financial products and services in the personal finance and banking domain.

Our promise to you:

• We aim to hire the best of talent, passionate about the vision of SaveIN
• We aim to create an equal opportunity, open, challenging as well as rewarding environment to bring the best out of our people
• We are here to be a large, prosperous, profitable, and resilient organization so that we may serve our customers sustainably across economic cycles, we aim to achieve this in the most ethical and transparent manner possible
• Being compliant is not only an obligation, but a chosen way of life
• We would love to see you grow and are committed to do our best in contributing towards your success

About the role:

SaveIN is looking for a Software Engineer | React JS

You will be responsible for building visually engaging user experiences as well as using out of the box thinking to devise new techniques for presenting content and data. You will work with developers, designers, product and also the founding team.

Location: Gurgaon/ Work from home

Key responsibilities:

• Develop class leading and highly responsive front-end interfaces using React.js
• Translating designs and wireframes into high quality code and output
• Communicate effectively with UI/UX team and technical development team
• Create unit tests to ensure visual consistency and adequate functionality across releases
• Ensure cross-browser, cross-platform and multiple device compatibility and resolve issues.
• Document technical design as per internal compliance standards
• Work with senior management and external stakeholders to ensure that deliverables are met

Skills and competencies:

• Education: BE/BTech/ME/MTech/MCA
• Minimum 3-year industry experience and proficiency in developing front-end components using React JS, Angular.io, Vue.js, HTML 5, Web markup and CSS 3
• Experience in Typescript
• Hands on experience with state management tools like Redux/Mobx
• Fine understanding of Node.js based tooling like Webpack, Grunt/Gulp, NPM, Express JS, Babel, Create React App etc.
• Good knowledge of working with dynamic data (e.g., JSON, XML) through various interface types (e.g., REST, SOAP)
• Experience of working with responsive web designs across multiple platforms
• Experience with integrating Analytics Tool like Google Analytics, Mix Panel etc
• Experience in creating mock-ups/ proof-of-concepts based on wireframes
• Ability to learn new UI technologies quickly
• Understanding of SEO and accessibility issues
• Experience of full software development life cycle, standard and secure coding practices and pro
• Experience with content delivery networks and an understanding of web caching
• Experience with unit testing using frameworks such as Mocha, Chai, Enzyme, Cypress, or Jest
• Experience with Jenkins and Docker a plus
• Experience on any backend technologies Node.JS, Python, Java, PHP will be a good add on
• Experience in Scrum/Agile is desirable

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.

We are seeking a talented and passionate Data Scientist to join our dynamic team. The ideal candidate will leverage their expertise in statistical analysis, machine learning, and data visualization to extract actionable insights from complex datasets. You will play a key role in developing and deploying predictive models, contributing to strategic business decisions, and driving innovation through data.

Responsibilities:

• Data Analysis and Exploration:
• Collect, clean, and preprocess large datasets from various sources.
• Conduct exploratory data analysis to identify patterns, trends, and anomalies.
• Visualize data using appropriate tools and techniques to communicate findings effectively.
• Machine Learning and Modeling:
• Develop and implement machine learning models for predictive analytics, classification, regression, and clustering.
• Evaluate model performance and optimize algorithms for accuracy and efficiency.
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
• Statistical Analysis:
• Perform statistical hypothesis testing and A/B testing to validate findings.
• Apply statistical methods to analyze data and draw meaningful conclusions.
• Develop statistical models to forecast future trends and outcomes.
• Data Visualization and Reporting:
• Create compelling visualizations and dashboards to present data insights to stakeholders.
• Prepare clear and concise reports summarizing findings and recommendations.
• Effectively communicate complex data concepts to non-technical audiences.
• Collaboration and Communication:
• Collaborate with cross-functional teams, including engineers, product managers, and business analysts.
• Present findings and recommendations to stakeholders at all levels of the organization.
• Contribute to the development of data-driven strategies and initiatives.

Job Title: Chief Engineer: Deep Learning Compiler Expert

You will collaborate with experts in machine learning, algorithms and software to lead our effort of deploying machine learning models onto Samsung Mobile AI platform.

In this position, you will contribute, develop and enhance our compiler infrastructure for high-performance by using open-source technology like MLIR, LLVM, TVM and IREE.

Necessary Skills / Attributes:

• 6 to 15 years of experience in the field of compiler design and graph mapping.
• 2+ years hands-on experience with MLIR and/or LLVM.
• Experience with multiple toolchains, compilers, and Instruction Set Architectures.
• Strong knowledge of resource management, scheduling, code generation, and compute graph optimization.
• Strong expertise in writing modern standards (C++17 or newer) C++ production quality code along test-driven development principles.
• Comfortable and experienced in software development life cycle - coding, debugging, optimization, testing, and continuous integration.
• Familiarity with parallelization techniques for ML acceleration.
• Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, or Glow.
• Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.
• Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe.
• Experience operating in a fast-moving environment where the workloads evolve at a rapid pace.
• Understanding of the interplay of hardware and software architectures on future algorithms, programming models and applications.
• Experience developing innovative architectures to extend the state of the art in DL performance and efficiency.
• Experience with Hardware and Software Co-design.

M.S. or higher degree, in CS/CE/EE or equivalent with industry or open-source experience.

Work Profile:

• Design, implement and test compiler features and capabilities related to infrastructure and compiler passes.
• Ingest CNN graphs in Pytorch/TF/TFLite/ONNX format and map them to hardware implementations, model data-flows, create resource utilization cost-benefit analysis and estimate silicon performance.
• Develop graph compiler optimizations (operator fusion, layout optimization, etc) that are customized to each of the different ML accelerators in the system.
• Integrate open-source and vendor compiler technology into Samsung ML internal compiler infrastructure.
• Collaborate with Samsung ML acceleration platform engineers to guide the direction of inferencing and provide requirements and feature requests for hardware vendors.
• Closely follow industry and academic developments in the ML compiler domain and provide performance guidelines and standard methodologies for other ML engineers.
• Create and optimize compiler backend to leverage the full hardware potential, efficiently optimizing them using novel approaches.
• Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.
• Contribute to the development of machine-learning libraries, intermediate representations, export formats and analysis tools.
• Communicate and collaborate effectively with cross-functional hardware and software engineering teams.
• Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.

Keywords to source candidates

Senior Developer, Deep Learning, Prediction engine, Machine Learning, Compiler

As a 3D modeler you will be responsible for creating virtual worlds and characters. You will be bringing life into sketches and concept art. You will be working in a team with lots of other talented artists, engineers and programmers. You must be well versed with industry standard 3D modeling programs and tools. Good spatial skills and a well honed sense of color and design will help you succeed in this job.

Responsibilities

• Create and manage digital assets
• Interpret concept art and sketches to create virtual characters, environment and props
• Follow design guidelines, asset naming conventions and other technical constraints
• Prototype and iterate on models and characters based on feedback from team members
• Create textures and UV maps
• Optimize, refine and correct model geometry
• Rig models and characters for animation
• Work with artists, animators and programmers to execute projects on time
• Keep abreast with the latest developments in 3D design, capture and modeling tools and technologies

Requirements

• Expert level knowledge of 3D design in 3DS Max
• An eye for detail and good visualization skills
• Ability to take feedback and make changes as required
• Extensive knowledge of character design, rigging, skinning etc.
• Some familiarity with animation techniques
• Good communication skills
• Minimum 2 years of experience in 3D design and modeling

Contract length: 12 months