Accounts Executive

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

As a Frontend Engineer with a focus on Next.js and React, you will focus on fixing UI bugs and building new features

Position: Frontend Engineer (Next.js/React)

Location: Hyderabad

Type: Part-time, Remote

Responsibilities:

• Develop user-facing features and components using Next.js and React
• Optimize existing components
• Update packages
• Identify and address performance bottlenecks and troubleshoot UI issues

Qualifications:

Proficiency in Next.js and React.js is a must

Strong understanding of HTML5, CSS3, and JavaScript (ES6+)

Experience working with RESTful APIs and GraphQL

Familiarity with version control systems such as Git

Experience with state management libraries (e.g., Redux, MobX) is a plus

Knowledge of build tools like Webpack and Babel

Excellent problem-solving skills and attention to detail

Ability to work independently and as part of a team in an agile environment

We are looking for an experienced Node.js Developer with at least 3-years of experience. In this role, you will be responsible for developing and maintaining server-side applications and building scalable applications using Node.js. It is a WFH/Remote, full-time position.

Responsibilities

• Design and develop RESTful APIs using Node.js
• Build and maintain high-performance, reusable, and reliable code
• Write unit and integration tests for all code changes
• Developing and maintaining all server-side network components
• Designing customer-facing UI and back-end services for various business processes
• Collaborate with cross-functional teams to define, design, and ship new features
• Optimize application performance and ensure scalability and reliability
• Troubleshoot and debug issues in the application codebase
• Documenting Node.js processes, including database schemas, as well as preparing reports

Qualifications

• 3+ years of experience designing and/or developing applications using node.js
• Extensive knowledge of JavaScript, web stacks, libraries, and frameworks
• Strong experience with ExpressJS or Restify frameworks
• Very well understanding of Javascript, Browsers, real time communication
• Experience with ReactJS & MongoDB is a plus
• Strong fundamentals in OOPS, Data structured and Design Patterns
• Knowledge of front-end technologies such as HTML5 and CSS3

Experience with Microsoft Exchange Server and Office365. 

  Working experience in VMWare/Hyper-V.

  Working knowledge of Firewalls, VPN Technologies, Network routers, Wi-Fi Access points, Port forwarding

  Sound understanding of DNS, DHCP, Active Directory servers.

  Excellent troubleshooting and analytical skills.

  Hands-on experience on Backups

  Desktop troubleshooting experience

  hands-on experience on Firewalls.

• Developing front end website architecture.
• Designing user interactions on web pages.
• Developing back-end website applications.
• Creating servers and databases for functionality.
• Ensuring cross-platform optimization for mobile phones.
• Ensuring responsiveness of applications.
• Working alongside graphic designers for web design features.
• Seeing through a project from conception to finished product.
• Designing and developing APIs.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.

• Degree in computer science.
• Strong organizational and project management skills.
• Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript.
• Familiarity with JavaScript frameworks such as Angular JS, React, and Amber.
• Proficiency with server-side languages such as Python, Ruby, Java, PHP, and .Net.
• Familiarity with database technology such as MySQL, Oracle, and MongoDB.
• Excellent verbal communication skills.
• Good problem-solving skills.
• Attention to detail.

Position Profile

Qlik Sense Developer

Location:  Mumbai/Gurgaon

Job Description

Role Summary:

Lead and drive the development in BI domain using Qlik Sense eco-system with deep technical and BI ecosystem knowledge. The resource will be responsible for the dashboard design, development, and delivery of BI services using Qlik Sence eco-system.

Key functions & responsibilities:

• QlikView/Qlik Sense Data Architect (possibly certified) with extensive knowledge of QlikView and Qlik Sense including best practices for data modelling, application design and development.
• Familiarity with the use of GeoAnalytics, NPrinting, extensions, widgets, mashups, ODAG and various other advanced features used in Qlik Sense development.
• Good knowledge working with Set Analysis.
• Experience working with Qlik Sense sites and the Qlik Management Console, creating rules, and managing the streams, as well as user and application security.
• Knowledge of Active Directory, proxies, load balancers, etc.
• Experience in troubleshooting connectivity, configuration, performance, etc.
• Strong communication and presentation skills.

Candidate’s Profile

Academics:

• Bachelor’s degree preferable in Computer science.
• Master’s degree would have an added advantage.

Experience:

 2-6 years of experience in Qlik Sense designing and development.

• Angular 6+, Typescript2+, JavaScript, HTML5, CSS3, JSON, ES6 standards, Bootstrap, Redux and Flux, NgRX
• Integration with REST Web-services
• Experience with RESTful services
• JIRA, BitBucket, SouceTree, and Confluence
• Team Player and efficient communicator who can work with international teams
• Software Development Process, Object-Oriented Design (OOD), Software Debugging
• Requirements Understanding and Estimates

• Technical Guidance: You will provide technical leadership to a team of excellent software engineers; this requires that you have the technical depth to make complex design decisions and the hands-on ability to lead by example.
• Execution and Delivery: You will be expected to instill and follow good software development practices and ensure timely delivery of high-quality products. You should be familiar with agile practices as well as be able to adapt these to the needs of the business, with a constant focus on product quality.
• Team management : You will be responsible for hiring and mentoring your team; helping individuals grow in their careers, having constant dialogue about their aspirations and sharing prompt, clear and actionable feedback about performance.

• Technical depth: You have the strong technical competence required to gain credibility. Ability to architect, design and code yourself. Technical experience in building and operating web-based applications. Deep understanding of all layers of the web-stack work (from the client interface to the database.) Knowledge of multiple technology stacks/languages/tools and their pros/cons.
• Execution ability: Focus on delivering products in a timely manner with high quality. Familiarity with multiple software development practices and tools, and the proven ability to adapt, champion and institute good practices and tools.
• You must have a degree in Computer Science or a related field. Strong understanding of object- oriented programming, concurrency and fundamentals of computer-science.
• Total of 9+ years’ experience building cutting edge products. Deep experience in building very large scale applications and 2 + years’ experience in team management.
• Strong problem solving skills, data structures and algorithms.