Product manager

Key Responsibilities

• Manage the full recruitment lifecycle — sourcing, screening, interviewing, and onboarding
• Source candidates through job portals (Naukri, LinkedIn, Hirect, CutShort, etc.), social media, referrals, and headhunting
• Screen resumes and conduct initial telephonic/HR rounds
• Coordinate and schedule interviews with hiring managers and department heads
• Maintain and update the Applicant Tracking System (ATS) and recruitment MIS
• Build and maintain a strong candidate pipeline for current and future requirements
• Negotiate salary, roll out offer letters, and follow up for timely joining
• Achieve defined TAT (Turnaround Time) and closure targets
• Coordinate with vendors/consultancies for bulk hiring when needed
• Assist in employer branding activities on social media and job platforms

Overview

We are looking for a highly skilled Lead Data Engineer with strong expertise in Data Warehousing & Analytics to join our team. The ideal candidate will have extensive experience in designing and managing data solutions, advanced SQL proficiency, and hands-on expertise in Python & POWER BI .

Skills : Python, Databricks, SQL

Key Responsibilities:

• Design, develop, and maintain scalable data warehouse solutions.
• Write and optimize complex SQL queries for data extraction, transformation, and reporting.
• Develop and automate data pipelines using Python.
• Work with AWS cloud services for data storage, processing, and analytics.
• Collaborate with cross-functional teams to provide data-driven insights and solutions.
• Ensure data integrity, security, and performance optimization.

Required Skills & Experience:

• Must have a minimum of 6-10 years of experience in Data Warehousing & Analytics.
• Must have strong experience in Databricks
• Strong proficiency in writing complex SQL queries with deep understanding of query optimization, stored procedures, and indexing.
• Hands-on experience with Python for data processing and automation.
• Experience working with AWS cloud services.
• Hands-on experience with reporting tools like Power BI or Tableau.
• Ability to work independently and collaborate with teams across different time zones.

Requirements:

• 7+ years in enterprise application development
• Proven track record of delivering complex digital solutions
• Advanced knowledge of React hooks, context API, and component and global state management
• Experience with atomic design, component libraries, and TypeScript
• Proficiency in React performance optimization and modern features
• Strong experience with modern .NET (6+)
• Proven track record applying Clean Architecture & Clean Code & SOLID principles & DDD patterns
• Expertise in building scalable REST APIs and microservices
• Experience with Azure Service Bus, Event Grid, and message-based architectures
• Proficiency in resources like App Insights, Function Apps, Key Vaults, and App Services
• Expertise in cloud development and deployment strategies
• Strong understanding of business needs, ability to meet them by creating cutting-edge solutions
• Brilliant communication abilities, knowing how to explain technical details and processes to a non-tech person
• Fluency in English

Nice to have:

• Test automation (Playwright/Cypress)
• Building CI/CD pipelines in Azure DevOps
• API-first development and OpenAPI specifications
• Experience with agile at scale (SAFe/Spotify)
• Proficiency with AI-powered development tools (GitHub Copilot, Cursor, etc.) to enhance productivity
• Bachelor's or Master's degree in Computer Science or a related field

 Responsibilities:

• Front-end, API, and back-end development, ensuring the successful delivery of digital solutions
• Drive innovation by staying informed about emerging technologies, industry trends, and best practices
• Collaborate with the Product Manager, UX/UI Designers, and Engineering Manager to define agile technical requirements, provide technical estimation, and prioritize backlogs based on business needs and technical feasibility
• Participate in sprint planning, backlog grooming, and release planning meetings to ensure alignment between technical implementation and product roadmap
• Participate in hands-on development activities, including coding, debugging, and troubleshooting, to deliver high-quality applications
• Design, architecture, development of digital applications, ensuring adherence to best practices, coding standards, and architectural principles
• Design scalable architectures for multi-region deployment
• Implement test automation strategies and frameworks to automate testing processes and ensure the quality and reliability of applications
• Automate test cases and integrate testing into the CI/CD pipeline
• Conduct code reviews to ensure adherence to coding standards, best practices, and architectural guidelines
• Define and implement code best practices, development standards, and documentation processes to maintain code quality and readability
• Integrate digital applications with existing digital assets, backend systems, and third-party APIs, ensuring seamless data exchange and interoperability
• Collaborate with integration teams to design and implement integration solutions that meet business requirements and architectural standards
• Communicate technical concepts and solutions to non-technical stakeholders in a clear and understandable manner

• Mandatory - Hands on experience in Python and PySpark.

• Build pySpark applications using Spark Dataframes in Python using Jupyter notebook and PyCharm(IDE).

• Worked on optimizing spark jobs that processes huge volumes of data.

• Hands on experience in version control tools like Git.

• Worked on Amazon’s Analytics services like Amazon EMR, Lambda function etc

• Worked on Amazon’s Compute services like Amazon Lambda, Amazon EC2 and Amazon’s Storage service like S3 and few other services like SNS.

• Experience/knowledge of bash/shell scripting will be a plus.

• Experience in working with fixed width, delimited , multi record file formats etc.

• Hands on experience in tools like Jenkins to build, test and deploy the applications

• Awareness of Devops concepts and be able to work in an automated release pipeline environment.

• Excellent debugging skills.

We are seeking a motivated and results-driven Tele Sales Executive to join our sales team. The ideal candidate will be responsible for generating leads, engaging potential clients, and driving sales of our technology solutions. This role requires excellent communication skills, a persuasive approach, and a strong focus on achieving sales targets. 

Key Responsibilities: 

- 1. Outbound Calls: Contact prospective and existing customers by phone to introduce, promote, and sell products & services. 

2. Lead Generation: Identify and qualify new sales leads from provided lists, referrals, and other sources. 

3. Sales Pitch: Deliver compelling sales pitches, respond to customer inquiries, and handle objections to close sales. 

4. Customer Engagement: Build and maintain positive relationships with customers, understanding their needs and offering appropriate solutions. 

5. Data Management: Accurately record and update customer information, interactions, and sales activity in the CRM system. 

6. Sales Targets: Meet or exceed individual and team sales goals and quotas. 

7. Feedback Collection: Gather and report customer feedback to help improve products, services, and sales strategies. 

We are looking for an iOS developer who possesses a passion for pushing mobile technologies to the limits and will work with our team of talented engineers to design and build the next generation of our mobile applications.

• Design and build advanced applications for the iOS platform
• Collaborate with cross-functional teams to define, design, and ship new features.
• Unit-test code for robustness, including edge cases, usability, and general reliability.
• Work on bug fixing and improving application performance.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

• BS/MS degree in Computer Science, Engineering or a related subject
• Proven working experience in software development
• Working experience in iOS development
• Have published one or more iOS apps in the app store
• A deep familiarity with Objective-C and Cocoa Touch
• Experience working with iOS frameworks such as Core Data, Core Animation, Core Graphics and Core Text
• Experience with third-party libraries and APIs
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
• Solid understanding of the full mobile development life cycle

Experience: 2-5 Years

Must-Have: .Net Core + Angular 9+,Good Communication

Key Responsibilities and Accountabilities

• Experience in handling business requirements independently from technical and functional perspective.
• Responsible & accountable for execution end-2-end projects / part of Project or change requests and defects.
• Resolve technical issue faced for module handled and by the developers.
• Execution of project according to project plan, resolving day-to-day challenges of with the IT development life cycle.
• Always confirm to documentation, coding, and quality standards as defined.
• Prepare for and support user acceptance testing.
• Prepare all necessary documentation and processes to enable support of the systems.
• Effective Communication with internal and external customers, supervisors and management.

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 and information extraction from clinical notes.

This is a role for highly technical machine learning & 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 machine learning models 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.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics