Fresher Medical Representative

We are looking for a highly experienced and technically strong AI Engineering Manager to lead and mentor a team of Machine Learning and AI Engineers. This role will drive the execution, delivery, and operational excellence of enterprise AI/ML products and platforms within the Life Insurance and Financial Services sector.

The role operates primarily in a GCP cloud environment and requires bridging architectural design with hands-on engineering execution. The candidate will manage engineering workloads, guide technical decisions, ensure high code quality, and drive project timelines for enterprise-grade AI solutions.

Key Responsibilities

Team Leadership & Project Management

• Own end-to-end delivery of AI/ML projects including sprint planning, backlog grooming, workload management, and resource allocation.
• Provide technical guidance and mentorship to AI/ML engineers, including code reviews and best practices for MLOps, software engineering, and cloud infrastructure.
• Act as the primary technical point of contact for product managers, architects, and business stakeholders.
• Define and enforce engineering standards for development, testing, CI/CD, and monitoring of AI services.
• Recruit, onboard, mentor, and conduct performance reviews for the AI engineering team.
• Collaborate with Data Engineering, DevOps, and other teams to integrate AI models into enterprise systems and data pipelines.
• Identify and manage technical risks, dependencies, and delivery blockers to maintain project velocity.

Technical Delivery

• Implement and operationalize MLOps pipelines for model training, versioning, deployment, monitoring, and explainability.
• Guide teams in leveraging AI platform capabilities such as RAG pipelines, LLM gateways, and vector databases to build business use cases.
• Ensure security, scalability, and performance of production AI services and underlying cloud infrastructure.

Must-Have Skills & Requirements

• 8+ years of experience in Software Engineering, Machine Learning Engineering, or Data Science.
• Minimum 3+ years in a team management or leadership role.
• Proven experience managing and mentoring engineering teams.
• Strong experience with project management methodologies (Scrum/Kanban) and tools such as Jira.
• Hands-on experience with production-scale MLOps and GenAIOps implementations.
• Deep expertise in cloud platforms, preferably GCP.
• Strong understanding of modern data architecture including vector databases, data warehousing, and ETL/ELT pipelines.
• Solid software engineering fundamentals including API design, system architecture, Git, and CI/CD or DevSecOps pipelines.
• Experience with GenAI technologies such as LLM orchestration frameworks, prompt engineering, and RAG architectures.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Good-to-Have / Preferred Skills

• Experience managing distributed or multi-geographical engineering teams.
• Knowledge of regulatory requirements within the BFSI or insurance domain (data privacy, Responsible AI).
• Azure cloud or multi-cloud project experience.
• Experience with streaming data platforms and real-time AI processing.
• Cloud certifications such as GCP Professional Cloud Architect or ML Engineer.

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

Lumiq is an end-to-end data company. We work with enterprises of various industries like financial, utility and publishing. We create Data Products and Solutions for solving their various business use cases related to AI/ML and Big Data Analytics. We are hiring a talented UX Designer who can help us by focusing on the design and experience of using our products.

• 4-5 years of demonstrated experience in creating and implementing UX design

• Proficient with visual design programs such as Adobe Photoshop and others

• Ability to work effectively in a collaborative environment to create top-performing interfaces for customers

• Experience with coding and ability to troubleshoot using HTML, CSS and comparable languages

• Continued education and research into UX trends and current design strategy and technologies

• Professional written and interpersonal skills when communicating with customers 

• Ability to prioritize and manage several milestones and projects efficiently

• Account for challenges using problem-solving skills and seek to optimize data for the best possible outcome

• Experience creating storyboards and product mapping

• Use recent studies and findings to establish the best overall design elements to include in UX design experiences

• Build storyboards to conceptualize designs to accurately convey project plans to customers and senior management

• Design the aesthetics to be implemented within a product, from the layout menus and drop-down options to colors and fonts allowing for interface edits as needed

• Combine interface design concepts with digital design and establish milestones to encourage cooperation and teamwork

•  Understanding of B2B application design

•  Good to have Fintech domain design ,Power Point ,Figma, Marvel, Draw.io tools 

• In Depth clarity of color theory , color domain psychology

Location : Noida 

You will be responsible for architecting and developing features on the application end to end. You will be working closely with the Product Managers and the Technical architect to come up with high-quality, resilient, and highly performant applications.

• Design and develop SaaS-based applications based on microservices architecture.
• Work on the core backend and ensure it meets the performance benchmarks.
• Work on the front end with ReactJS.
• Designing and developing APIs for the front end to consume.
• Constantly improve the architecture of the application by clearing the technical backlog.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.

An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of them. We are open to promising candidates who are passionate about their work and are team players.

• Education - BE/MCA or equivalent.
• Overall 4+ years of experience.
• Agnostic/Polyglot with multiple tech stacks.
• Worked on open source technologies – NodeJS, ReactJS, MySQL, NoSQL, MongoDB, DynamoDB.
• Good experience with Front-end technologies like JavaScript frameworks, ReactJS, and AngularJS.
• Backend exposure – good knowledge of building API.
• Worked on serverless technologies.
• Efficient in building microservices in combining server & front-end.
• Knowledge of cloud architecture.
• Should have sound working experience with relational and columnar DB.
• Should be innovative and communicative in approach.
• Will be responsible for functional/technical track of a project.

‍

You will closely work with the engineering team and support the Product Team of Plum.

A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact, and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at Xoxoday.

Xoxoday is a rapidly growing fintech SaaS firm that propels business growth while focusing on human motivation. Backed by Giift and Apis Partners Growth Fund II, Xoxoday offers a suite of three products - Plum, Empuls, and Compass. Xoxoday works with more than 2000 clients across 10+ countries and over 2.5 million users. Headquartered in Bengaluru, Xoxoday is a 300+ strong team with four global offices in San Francisco, Dublin, Singapore, New Delhi.

We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. We however assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.

Requirements

• 2-5 years of experience as a back-end developer
• Expertise with Java 1.8 and React JS
• Understanding of OOPS concepts, Design Principles, and implementations of different types of Design Patterns.
• Should have a strong acumen in Data Structures, Algorithms, problem-solving.
• Experience in Microservices
• Extensive experience in developing Web Services APIs using RESTful API design
• Comfortable writing Unit Test Cases
• Good to have experience/knowledge of
  • Docker,
  • Scala,
  • Python, and
  • AWS and other Cloud platforms
• Able to connect the dots between code and business value

Responsibilities

• Engage in high-level conversations about business strategy and the role tech plays in it
• Write well-designed, testable, and efficient code that powers our application
• Write specs and do planning for everything we build
• Conduct application analysis, testing, and debugging
• Diligently document code to keep it clean and transparent
• Ensure cross-browser and device compatibility

You Are

• You believe it’s always on you to make sure anything you do is a success.
• You have the ability to make quick and effective decisions.
• In love with a challenge. You revel in solving problems and want a job that pushes you out of your comfort zone.
• Open to change. You’re inspired by the endless ways in which everything we do can always be improved.