


Role Overview:
We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will be responsible for developing and deploying machine learning models from scratch to production level, focusing on building robust data-driven products. You will work closely with software engineers, product managers, and other stakeholders to ensure our AI-driven solutions meet the needs of our users and align with the company's strategic goals.
Key Responsibilities:
- Develop, implement, and optimize machine learning models and algorithms to support product development.
- Work on the end-to-end lifecycle of data science projects, including data collection, preprocessing, model training, evaluation, and deployment.
- Collaborate with cross-functional teams to define data requirements and product taxonomy.
- Design and build scalable data pipelines and systems to support real-time data processing and analysis.
- Ensure the accuracy and quality of data used for modeling and analytics.
- Monitor and evaluate the performance of deployed models, making necessary adjustments to maintain optimal results.
- Implement best practices for data governance, privacy, and security.
- Document processes, methodologies, and technical solutions to maintain transparency and reproducibility.
Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
- 5+ years of experience in data science, machine learning, or a related field, with a track record of developing and deploying products from scratch to production.
- Strong programming skills in Python and experience with data analysis and machine learning libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
- Proficiency in building and optimizing data pipelines, ETL processes, and data storage solutions.
- Hands-on experience with data visualization tools and techniques.
- Strong understanding of statistics, data analysis, and machine learning concepts.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a fast-paced, dynamic environment.
Preferred Qualifications:
- Knowledge of microservices architecture and RESTful APIs.
- Familiarity with Agile development methodologies.
- Experience in building taxonomy for data products.
- Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

About Smartan.ai
About
Smartan Fit is an innovative fitness tech company dedicated to transforming the gym experience for owners, trainers, and members. We leverage advanced technology to provide real-time insights and personalized recommendations, empowering the fitness community to achieve their goals more efficiently and effectively.
Candid answers by the company
At Smartan-Fit, we aim to empower gym owners, trainers, and members alike by revolutionizing gym management through cutting-edge technology. We believe that fitness should be personalized, data-driven, and seamlessly integrated into the gym experience.
Member-Centric Approach:
- Smartan-Fit prioritizes user experience and results.
- Members receive real-time feedback, celebrate milestones, and stay motivated.
- No more guesswork—just data-driven progress.
Privacy and Trust:
- We respect privacy. Smartan-Fit’s camera-based tracking is non-intrusive and GDPR-compliant.
- Members control their data, and transparency is our commitment.
Gym Efficiency:
- Smartan-Fit streamlines operations reduces paperwork and enhances staff productivity.
- Managers can focus on what matters—delivering exceptional fitness experiences.
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Build a dynamic solution empowering companies to optimize promotional activities for maximum impact. It collects and validates data, analyzes promotion effectiveness, plans calendars, and integrates seamlessly with existing systems. The tool enhances vendor collaboration, negotiates better deals, and employs machine learning to optimize promotional plans, enabling companies to make informed decisions and maximize return on investment.
Technology Stack: Scala, Go-Lang, Docker, Kubernetes, Databricks, Python optional.
Working Time Zone: EU
Specialty: Data Science
Level of the Candidate: more then 5 years of experience
Language Proficiency: English Upper-Intermediate
Required Soft Skills:
- Prefer problem solving style over experience
- Ability to clarify requirements with the customer
- Willingness to pair with other engineers when solving complex issues
- Good communication skills
Hard Skills / Need to Have:
- Experience in Scala and/or Go, designing and building scalable high-performing applications
- Experience in containerization and microservices orchestration using Docker and Kubernetes
- Experience in building data pipelines and ETL solutions using Databricks
- Experience in data storage and retrieval with PostgreSQL and Elasticsearch
- Experience in deploying and maintaining solutions in the Azure cloud environment
- Experience in Python is nice to have
Responsibilities and Tasks:
- Develop and maintain distributed systems using Scala and/or Go
- Work with Docker and Kubernetes for containerization and microservices orchestration
- Build data pipelines and ETL solutions using Databricks
- Work with PostgreSQL and Elasticsearch for data storage and retrieval
- Deploy and maintain solutions in the Azure cloud environment
● The candidate will actively seek out new sales leads and business opportunities through active networking and
sending personal, strategic, value-add emails, calls, and social messages
● Use a combination of outreach mechanisms to nurture leads (Call, Email, Marketing automation tools like
outreach, Linkedin Inmails, etc. )
● Learn, leverage, and help evolve our demand generation process.
● Generate appointments by means of proactive outbound prospecting.
● Work directly with sales and marketing to discover opportunities from leads.
● Demonstrate and teach strong selling and influencing skills
● Generate new business opportunities to fuel the sales Pipeline for our products across our market segments
Skills And Qualification
● Candidate should be good at cold calling and writing cold emails
● Strong prospecting skills and ability to develop business in new accounts
● Familiar with sourcing prospect contact information using tools like ZoomInfo, Lusha, SalesNavigator, Apollo,
Slintel, etc
● Ability to think of creative ways of prospecting to make outbound more personalized
● Relationship-building with prospects
● Strong analytics skills to identify inefficiencies in order to improve it
● Self-starter who is able to operate in a hyper-growth environment
Responsible for conducting certain aspects of logistic and e commerce operations including vendor relations, vendor payments, keeping clear and open communication with ecommerce companies, monitor daily sales, and generate monthly sales report. The ideal candidate must be exceptional and very detailed oriented.
Roles and Responsibilities:
Posses a good understanding of online technologies like online marketplace.
Coordination and close interaction with Category Team at e commerce companies and vendors.
Issue resolution with appropriate levels of urgency with internal personnel using solid negotiation skills and escalating to management.
Timely Stocking of Inventory (PI, PO, Invoice and Delivery Logistics).
Developing a dynamic pricing strategy of sales, festivals.
Consolidate sales and inventory reports for Financial Controller.
Skills Required:
Strong Relationship Management skills and Crisis Management skills.
Strong excel and analytical skills.
Strong Communication and Interpersonal Skills.
Ability to work in an unstructured and rapidly growing environment.
Ready to take ownership and has drive and strong ability to execute.
Excellent time management skills.
Prior experience ideally in an e commerce company or start up is a plus.

ABOUT EPISOURCE:
Episource has devoted more than a decade in building solutions for risk adjustment to measure healthcare outcomes. As one of the leading companies in healthcare, we have helped numerous clients optimize their medical records, data, analytics to enable better documentation of care for patients with chronic diseases.
The backbone of our consistent success has been our obsession with data and technology. At Episource, all of our strategic initiatives start with the question - how can data be “deployed”? Our analytics platforms and datalakes ingest huge quantities of data daily, to help our clients deliver services. We have also built our own machine learning and NLP platform to infuse added productivity and efficiency into our workflow. Combined, these build a foundation of tools and practices used by quantitative staff across the company.
What’s our poison you ask? We work with most of the popular frameworks and technologies like Spark, Airflow, Ansible, Terraform, Docker, ELK. For machine learning and NLP, we are big fans of keras, spacy, scikit-learn, pandas and numpy. AWS and serverless platforms help us stitch these together to stay ahead of the curve.
ABOUT THE ROLE:
We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations, clinical named entity recognition, improving patient health, clinical suspecting and information extraction from clinical notes.
This is a role for highly technical data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.
You will be responsible for setting an agenda to develop and ship data-driven architectures that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company and help build a foundation of tools and practices used by quantitative staff across the company.
During the course of a typical day with our team, expect to work on one or more projects around the following;
1. Create and maintain optimal data pipeline architectures for ML
2. Develop a strong API ecosystem for ML pipelines
3. Building CI/CD pipelines for ML deployments using Github Actions, Travis, Terraform and Ansible
4. Responsible to design and develop distributed, high volume, high-velocity multi-threaded event processing systems
5. Knowledge of software engineering best practices across the development lifecycle, coding standards, code reviews, source management, build processes, testing, and operations
6. Deploying data pipelines in production using Infrastructure-as-a-Code platforms
7. Designing scalable implementations of the models developed by our Data Science teams
8. Big data and distributed ML with PySpark on AWS EMR, and more!
BASIC REQUIREMENTS
-
Bachelor’s degree or greater in Computer Science, IT or related fields
-
Minimum of 5 years of experience in cloud, DevOps, MLOps & data projects
-
Strong experience with bash scripting, unix environments and building scalable/distributed systems
-
Experience with automation/configuration management using Ansible, Terraform, or equivalent
-
Very strong experience with AWS and Python
-
Experience building CI/CD systems
-
Experience with containerization technologies like Docker, Kubernetes, ECS, EKS or equivalent
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Ability to build and manage application and performance monitoring processes

Position: React/Redux Frontend Engineer
Location: Pune (Initially Remote)
We are looking for a candidate with experience in building single page applications using React / Redux. You would be working on a product actively used by thousands of customers.
About the Organization:
It is one of the most exciting Bay Area Product Driven Organization in Logistics industry supporting more than 30,0000 customers.
Your responsibility will include, but not limited to:
• Transforming product requirements into clean well-written code
• Optimizing existing code for performance and reusability
Must have:
- 5+ Years of Strong knowledge of Javascript, ES6, JSX
- 2+ Years of Strong knowledge of React and Redux
- Knowledge of promises / Async / Await
- Good understanding of REST API integration and authentication
- Looking for Someone Who can start immediately / Within a month
- Typical Product Background with a Programming Thinking of solving complex problem
Educational Qualification:
Should Be a Computer Science Graduate, preferably from a Tier-1 Engineering college
Good to have:
• Advance GIT
• HTML / CSS knowledge
• Knowledge or experience working with Service Workers
Why join us?
• Very high-growth
• Passionate, collaborative, and awesome co-workers
• Free lunches
• Competitive salaries
- Implement and constantly improve Processes and System to reduce inventory, minimize cost and maximize inventory utilization.
- Responsible for entire inventory movement cycle immediately after the PO is raised at HO.
- Tracking ETD & ETA of all Import Consignments as well as Internal Inventory movement within India Operations.
- Coordinate with Buying Team and Location Teams on Periodic Sales & Inventory Requirement Forecast – at least for a period of 3 months / 1 Qrtr in advance.
- analyze Inventory requirement at location as per Promotion Calendar in coordination with respective Buyer and Track / Monitor Efficacy of each Promotion.
- Interacts with each Location Team and ensure steady flow of valid and valuable feedback on sales and inventory.
- Execute & Maintain Category & Merchandising Planogram as prescribed by respective Buyer.
- Responsible for Setting up and Implementation of Auto Replenishment Process at all locations in coordination with Location team and IS team.
- Formulate, Generate and Share Inventory related MIS reports with HO Functions on periodic basis. For example – Self-life Expiry Report, Stock Availability Report, Flagging all potential alert situation
• Developing and maintaining all server-side components.
• Designing back-end services for various business processes
• Ensuring optimal performance of the central database and responsiveness to frontend requests
• Developing high-performance applications by writing testable, reusable, and
efficient code.
• Documenting Node.js processes, including database schemas, as well as
preparing reports.
• Collaborating with front-end developers on the integration of elements
• Keeping informed of advancements in the field of Node.js development
• Recommending and implementing improvements to processes and technologies
Responsibilities:
- Make changes in the existing code base of talent marketplace and implement new features.
- Collaborate with stakeholders that are involved in product design (marketing specialist and product manager).
- Report the progress to other stakeholders.
- Do bug fixes and push the source codes to the live server.
- Be responsive to change requests and feature requests
- Create Unit and Integration tests to ensure the quality of code
Requirements:
- Experience in Node js , MongoDB and Angular.
- Experience in JavaScript development.
- Understanding in MEAN or MERN Stack.
- Experience in the use of project planning tools (JIRA, Version One, GitHub, etc.)
- Excellent written and verbal communication skills (English).
- Understanding of various technologies including applications and databases.
- Able to handle multiple projects and competing deadlines
- Good understanding of overall web design including basic usability, accessibility, industry standards, architecture, and navigation
- Able to handle multiple projects and competing deadlines
- Fluent knowledge of latest HTML/CSS standards and best practices
- Experience building Responsive websites for web, tablet and mobile devices



