AI Architect

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.

iOS Developer responsible for developing app from scratch.

We are looking to recruit a candidate for a role that will require:

• Translate design and wireframes into code
• Design, build, and maintain high performance, reusable, and reliable code
• Identify solutions through research and collaboration that resolves the root of problems as they arise
• Unit testing code
• Experience with cloud message APIs and usage of push notifications

Requirement

∙  2+ years’ strong development experience in iOS

∙  Experience using RESTful web services within mobile applications

∙ Proficient with Swift and Cocoa Touch

∙ Knowledge of iOS UI/UX standards

∙ Understanding of Apple’s design principles and interface guidelines

∙ Experience with code versioning control, such as bitbucket/git

Education: Engineering

Work experience: 2 years relevant experience

Roles & Responsibilities:

• Lead UI development for various components of our Web based Enterprise Sensing Capability.
• Take ownership of complex software projects from conception to deployment.
• Manage software delivery scope, risk, and timeline.
• Possess strong rapid prototyping skills and can quickly translate concepts into working code.
• Provide technical guidance and mentorship to junior developers.
• Contribute to front-end development using cloud technology.
• Develop innovative solutions using generative AI technologies.
• Conduct code reviews to ensure code quality and adherence to best practices.
• Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations.
• Identify and resolve technical challenges effectively.
• Stay updated with the latest trends and advancements in UI development.
• Work closely with the product team, business team, and other stakeholders.
• Design, develop, and implement user interfaces and modules, including custom reports, interfaces, and enhancements.
• Analyze and understand the functional and technical requirements of applications, solutions, and systems and translate them into software architecture and design specifications.
• Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software.
• Identify and resolve software bugs and performance issues.
• Work closely with cross-functional teams, including product management, design, and QA, to deliver high-quality software on time.
• Maintain detailed documentation of software designs, code, and development processes.
• Customize modules to meet specific business requirements.
• Work on integrating with other systems and platforms to ensure seamless data flow and functionality.
• Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently.
• Develop intuitive and responsive user interfaces (UIs) that enable users to efficiently interact with multiple datasets, leveraging modern front-end frameworks and libraries.
• Collaborate with UX designers to translate design mockups and wireframes into interactive and visually appealing user interfaces.
• Implement UI animations and transitions to enhance the user experience and provide feedback to users.
• Optimize UI performance by identifying and addressing bottlenecks, ensuring smooth and fast interactions.
• Ensure accessibility standards are met, making the UI usable for people with disabilities.
• Participate in Agile ceremonies (Daily Scrum/Refinement/Retro) to partner with the product owner and team to discuss, set, and deliver two-week developmental goals.
• Keep abreast of technology upgrades and advancements and provide recommendations to improve process efficiencies.

Responsibilities:

> Collaborate on high-quality web applications using PHP (Laravel) and frontend frameworks like ReactJS/VueJS.

> Assist in designing secure RESTful APIs and conduct API testing with tools like Postman.

> Contribute to test case creation and maintenance (PHPUnit/FeatureUnit).

Work within an Agile environment, participating in sprint activities.

#Requirements:

> 1 to 2 years of Full Stack development experience with a focus on PHP (Laravel).

> Strong understanding of RESTful API design and frontend technologies.

> Excellent communication skills and ability to work collaboratively in a team.

> Familiarity with version control (Git) and JIRA software.

> Analytical mindset and problem-solving skills.

> Experience with 3rd party integrations and payment gateways.

#Experience_ Required : 1 to 2 Years

#Location : Indore (WFO)