Machine Learning (ML) Engineer

Role Overview

At The Sleep Company, innovation doesn’t stop at comfort — it extends to how customers discover, buy, and experience our products across every touchpoint.

As Director – Product, you will lead the complete consumer journey — from discovery to post-delivery — building frictionless, insight-led experiences that drive growth, efficiency, and customer delight.

You’ll head a multidisciplinary team spanning Product Management, UI/UX, and Analytics, acting as the strategic bridge between business, technology, and operations to deliver end-to-end impact across the ecosystem.

Key Responsibilities

1. Pre-Purchase (Discovery, Engagement & Consideration)

• Lead the digital product roadmap for website and app — including PLP, PDP, configurators, and lead journeys.
• Drive experimentation frameworks such as A/B testing, personalization, and funnel optimization.
• Build analytics models to identify high-intent user segments and optimize engagement and conversion depth.

2. Purchase (Conversion & Checkout)

• Own the end-to-end conversion experience across cart, checkout, and payment flows.
• Collaborate with Pricing, Payments, and Inventory teams to maximize order success and reduce drop-offs.
• Integrate omnichannel purchase journeys — online, in-store, and quick commerce — ensuring consistency and reliability.
• Govern pricing logic, delivery promise visibility, and PDP accuracy to strengthen customer trust.

3. Post-Purchase (Delivery, CRM & Logistics Experience)

• Delivery Experience:
• Build and optimize post-purchase flows — including order tracking, shipment visibility, and proactive notifications.
• Integrate with 3PLs, warehouse systems, and customer-facing delivery tracking tools for promise-to-delivery accuracy.
• Define and monitor SLA adherence, OTIF performance, and exception management systems.
• CRM & Service Systems:
• Partner with Leadsquared/CRM teams to enhance service workflows, escalation journeys, and ticket analytics.
• Enable a unified customer view across purchase, delivery, and service touchpoints.
• Leverage analytics to improve NPS, first-time resolution, and service turnaround.
• Returns, Replacement & Warranty:
• Streamline digital flows for returns, repairs, and warranty claims through robust reverse logistics.
• Build insight dashboards for product quality, defect tracking, and RCA feedback loops with manufacturing and operations.
• Experience Analytics:
• Develop real-time visibility on post-purchase KPIs such as delivery timeliness, customer satisfaction, and repeat intent.
• Create a closed feedback loop between Product, CX, and SCM teams to continuously enhance customer experience.

Analytics & Insights Leadership

• Establish a central analytics charter connecting marketing, product, and supply chain data.
• Build predictive models for demand, delivery lead-time, and defect reduction.
• Develop self-serve dashboards and KPI frameworks for leadership visibility.
• Drive a culture of experimentation, data literacy, and evidence-based decision-making across teams.

Team & Collaboration

• Lead a cross-functional team of Product Managers, UX Designers, and Data Analysts.
• Partner closely with Growth, CX, Tech, and SCM leaders to align priorities and deliver measurable outcomes.
• Run agile sprints with clear business objectives, defined deliverables, and strong governance.

Ideal Candidate

• 10–14 years of experience in Product, Analytics, or CX leadership roles within e-commerce, logistics, or consumer tech.
• Proven experience in building and scaling delivery-tech or post-purchase systems (order tracking, CRM, 3PL integration).
• Strong proficiency in analytics and visualization tools — GA4, Mixpanel, SQL, Tableau, Looker, etc.
• Strategic thinker with an operational mindset and a strong bias for execution.
• Exceptional stakeholder management, communication, and leadership skills.

Job Specification:

• Job Location - Noida
• Experience - 2-5 Years
• Qualification - B.Tech, BE, MCA (Technical background required)
• Working Days - 5
• Job nature - Permanent
• Role - IT Cloud Engineer
• Proficient in Linux.
• Hands on experience with AWS cloud or Google Cloud.
• Knowledge of container technology like Docker.
• Expertise in scripting languages. (Shell scripting or Python scripting)
• Working knowledge of LAMP/LEMP stack, networking and version control system like Gitlab or Github.

Job Description:

The incumbent would be responsible for:

• Deployment of various infrastructures on Cloud platforms like AWS, GCP, Azure, OVH etc.
• Server monitoring, analysis and troubleshooting.
• Deploying multi-tier architectures using microservices.
• Integration of Container technologies like Docker, Kubernetes etc as per application requirement.
• Automating workflow with python or shell scripting.
• CI and CD integration for application lifecycle management.
• Hosting and managing websites on Linux machines.
• Frontend, backend and database optimization.
• Protecting operations by keeping information confidential.
• Providing information by collecting, analyzing, summarizing development & service issues.
• Prepares & installs solutions by determining and designing system specifications, standards & programming.

Requirements :

Currently pursuing or recently completed a Bachelor's or Master's degree in Business Administration, Marketing or a related field.

Strong communication skills, both written and verbal.

Proficiency in conducting market research and analyzing data.

Excellent organizational skills and attention to detail.

Proficiency in MS Office (Word, Excel, PowerPoint) and other relevant software.

Eagerness to learn and contribute to the company's success.

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

We are a B2B SaaS company that is re-imagining how companies use sales incentives to motivate their employees. We believe great results are only achieved when people are motivated - and our product is nothing but an extension of that philosophy.

On a more day-to-day level, our product takes away the ambiguity and grunt-work behind manual sales incentive calculation, and allows companies to experiment with incentive plans that actually work for every employee - and not just top performers. We are a team of experienced founders who between them have built and sold software products pretty much all across the globe. We are backed by some of the best angels and institutional investors in India - and are growing at breakneck speed.

We are seeking a skilled React JS Developer for a three-month contract to join our dynamic team. You will be responsible for developing and implementing user interface components using React.js concepts and workflows such as Redux, Flux, and Webpack. The ideal candidate should have proficient knowledge of React tools, excellent troubleshooting skills, and the ability to translate business requirements into technical solutions.

Responsibilities:

• Develop new user-facing features using React.js.
• Build reusable components and front-end libraries for future use.
• Optimize components for maximum performance across a vast array of web-capable devices and browsers.
• Collaborate with other team members and stakeholders.

Qualifications:

• Proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
• Past Intership with React.js and its core principles.
• Usage experience with common front-end development tools such as Babel, Webpack, NPM, etc.

• You have experience with two or more development languages preferably Java or Python and React, etc 
• You can skillfully write high-quality, well-tested code and you are comfortable with Object-Oriented programming
• Comfortability with Agile methods, such as Extreme Programming (XP), Scrum and/or Kanban
• Bonus points if you have working knowledge of cloud technology such as AWS, Azure, Kubernetes and Docker

Role / Purpose - Lead Developer - API and Microservices

Must have a strong hands-on development track record building integration utilizing a variety of integration products, tools, protocols, technologies, and patterns.

• Must have an in-depth understanding of SOA/EAI/ESB concepts, SOA Governance, Event-Driven Architecture, message-based architectures, file sharing, and exchange platforms, data virtualization and caching strategies, J2EE design patterns, frameworks
• Should possess experience with at least one of middleware technologies (Application Servers, BPMS, BRMS, ESB & Message Brokers), Programming languages (e.g. Java/J2EE, JavaScript, COBOL, C), Operating Systems (e.g. Windows, Linux, MVS), and Databases (DB2, MySQL, No SQL Databases like MongoDB, Cassandra, Hadoop, etc.)
• Must have experience implementing API Service architectures (SOAP, REST) using any of the market-leading API Management tools such as Apigee and frameworks such as Spring Boot for Microservices
• Should have Advanced skills in implementing API Service architectures (SOAP, REST) using any of the market-leading API Management tools such as Apigee or similar frameworks such as Spring Boot for Microservices 
• Appetite to manage large-scale projects and multiple tracks
•  Experience and knowhow of the e-commerce domain and retail experience are preferred