Assistant Manager - Marketing & Analytics

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.

-Promote and sell insurance products to potential clients.

-Assess client's needs and offer tailored coverage solutions.

-Build and maintain relationships with new and existing customers.

-Achieve sales targets and performance goals.

Who Should Apply?

-Effective Communication and sales ability

-Had good convincing skills and problem solving skills.

-Should have a good acumen for Sales.

-Good in interacting with peoples.

-Interpersonal skills to meet the targets and build customer relationships.

-Age: 20 to 30 years.

We are a technology company operating in the media space. We are the pioneers of robot journalism in India. We use the mix of AI-generated and human-edited content, across media formats, be it audio, video or text.

Our key products include India’s first explanatory journalism portal (NewsBytes), a content platform for developers (DevBytes), and a SaaS platform for content creators (YANTRA).

Our B2C media products are consumed by more than 50 million users in a month, while our AI-driven B2B content engine helps companies create text-based content at scale.

The company was started by IIT, IIM Ahmedabad alumni and Cornell University. It has raised institutional financing from well-renowned media-tech VC and a Germany-based media conglomerate.

We are hiring a talented DevOps Engineer with 3+ years of experience to join our team. If you're excited to be part of a winning team, we are a great place to grow your career.

Responsibilities

●       Handle and optimise cloud (servers and CDN)

●       Build monitoring tools for the infrastructure

●       Perform a granular level of analysis and optimise usage

●       Help migrate from a single cloud environment to multi-cloud strategy

●       Monitor threats and explore building a protection layer

●       Develop scripts to automate certain aspects of the deployment process

Requirements and Skills

●       0-2 years of experience as a DevOps Engineer

●       Proficient with AWS and GCP

●       A certification from relevant cloud companies

●       Knowledge of PHP will be an advantage

●       Working knowledge of databases and SQL

• Manage and monitor all installed systems and infrastructure.
• Install, configure, test and maintain operating systems, application software and system management tools.
• Proactively ensure the highest levels of systems and infrastructure availability.
• Monitor and test application performance for potential bottlenecks, identify possible solutions and work with developers to implement those fixes.
• Maintain security, backup, and redundancy strategies.
• Provide 2nd and 3rd level support.
• Liaise with vendors and other IT personnel for problem resolution.

Backend/Fullstack Developer

About the Company:

Company is India’s largest and best-established digital wealth management service that helps its customers create wealth for their long-and-short-term goals. Founded in 2012, Company is a pioneer in the digital financial services category and is recognised for creating simple and elegant user experiences in a complex domain. We do this by simplifying complex investing concepts and automating best practices, so our customers can grow their wealth without worry. We achieve this by combining cutting-edge technology, data-driven algorithms, awesome UX and friendly customer support. Our task is ambitious and we like to work hard as well as smart. We want to build a team that relishes challenges and contributes to a new way of thinking and investing in India. We are also invested in the growth of our colleagues and providing a supportive and thriving working environment for everyone. We have been recognised by Great Place To Work® as one of India’s best companies to work for.

Role specific info:

• 4-12 years of experience building good quality production software
• Excellent knowledge of at least one ecosystem based on Elixir/Phoenix, Ruby/Rails, Python/Django, Go/Scala/Clojure
• Good OO skills, including strong design patterns knowledge
• Familiar with datastores like MySQL, PostgreSQL, Redis, Redshift etc.
• Familiarity with react.js/react-native, vue.js etc. • Knowledge of deploying software to AWS, GCP, Azure
• Knowledge of software best practices, like Test-Driven Development (TDD) and Continuous Integration (CI)

What would you do here:

• Writing quality code using language best practices.
• Working in a highly collaborative team.
• Building good software using the latest tools and techniques.
• Participating in design reviews, coding modules, code reviews and unit testing.
• Taking ownership of quality and usability of your code.
• Mentoring co-workers.
• Leading efforts in improving technology architecture.

Roles & Responsibilities:

•             Ability to work as a member of a team assigned to design and implement solutions.

•             Data analysis - skills to conduct analysis and deliver recommendations to the team and customer.

•             Dashboard and Dataset development - develop dashboards and datasets that meet and exceed customer requirements.

•             Presentation skills - demonstrated ability to simplify complex situations and ideas and distil them into compelling and effective written and oral presentations.

•             Learn quickly - the ability to understand and rapidly comprehend new areas, functional and technical, and apply detailed and critical thinking to customer solutions.

•             Experience in vendor and/or project management

•             Strong problem solving capabilities to participate in complex strategic initiatives

Skills Experience:

•             Hands-on experience working with Tableau CRM,Force.com using Apex, triggers, Visualforce and LWC.

•             Experience in documenting data flows and mapping

•             Experience of preparing / transforming the data using custom SQL

•             Ability to understand the best way of visualizing complex datasets

•             Previous experience using Einstein Discovery is a plus.

•             Must have strong communication and collaboration skills

Senior Java Backend Developer

Are you a passionate backend developer looking for a new challenge in an international company? Do terms like spring-boot, Redis, Amazon EC2, REST-API and document based databases like MongoDB make you smile and would you like to work in an international company that values your personal growth? We are expanding in India and are looking for an enthusiastic and experienced Java Developer to join the team.

Together with the team, you will be responsible for the development and migration of our FlexWhere application from a PHP based application to a java application. You report to the Manager Development & Support and collaborate with our Dutch IT Team, who work from our headquarters in the Netherlands. We work with two-week sprints, in which features and improvements are tested in an alpha and beta environment, after which you will release the services in our Kubernetes cluster. Our applications are being used by thousands of customers in Europe on a daily basis. By being in close contact with our helpdesk, you know what our users struggle with and how you can improve their experience.

You are not afraid to take ownership and have good interpersonal skills. You believe a good user experience is the ultimate goal and you continuously discover, evaluate and implement new technologies to maximize development efficiency. All in all: you have an innovative spirit and cannot wait to get aboard into an international IT-organization!

• A degree in Engineering (B.Tech or BE);
• Minimum of 3-year work experience as a Java developer in Java and/or Kotlin, Groovy;
• Proficient understanding of code versioning tools (Git);
• Experience with third-party API’s and third-party libraries like MongoDB, Redis, MySQL, ElasticSearch;
• Familiar with automation testing tools;
• Knowledge about scaling architectures in the cloud like EC2.

• Competitive salary;
• Place within a company that is committed to diversity and inclusion;
• Excellent career progression opportunity within an international organization;
• The chance to discover the land of tulips and windmills!

We are Dutchview. An innovative IT company based in the Netherlands with offices in Germany, the United Kingdom and India. Our solutions make it possible for organisations to work smartly and effectively. So that they can focus all their energy on what they do best. It is precisely this freedom that leads to greater job satisfaction: the basis for better results. We make it easy for you.