Senior AI/ML Engineer
Bengaluru, Karnataka, India - Remote
Mindera
Mindera is a global software engineering company that delivers robust, scalable, & secure web & mobile applications. We craft software with people we love.At Mindera, we are passionate about building software that matters. We are seeking a Senior AI/ML Engineer to join our innovative team. In this role, you will be responsible for driving the design and implementation of advanced AI and Machine Learning solutions, leveraging your expertise to solve complex problems and enhance our product offerings.
As a Senior AI/ML Engineer, you will work closely with data scientists, product managers, and software engineers to create robust machine learning models and systems. You will be involved in the entire development lifecycle, from data wrangling to model deployment, embodying the principles of MLOps to ensure smooth and scalable implementations.
Requirements
Key Responsibilities:
- Design and build scalable AI/ML models using frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
- Implement robust data pipelines to support model training and inference.
- Collaborate with cross-functional teams to gather requirements and define project scopes.
- Conduct experiments to test and validate model effectiveness, iterating based on results.
- Oversee model deployment and monitoring, ensuring performance and reliability in production.
- Mentor and guide junior engineers in best practices for AI/ML development.
- Stay current with the latest advancements in AI/ML and apply them to enhance methodologies and solutions.
To excel in this role, you should have:
- 5+ years of experience in AI/ML engineering or related roles.
- Strong proficiency in programming languages such as Python, and familiarity with ML libraries and frameworks.
- Expertise in machine learning methodologies, including supervised and unsupervised learning, reinforcement learning, and deep learning.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Knowledge of cloud-based machine learning services (AWS, Azure, GCP) and deployment strategies.
- Understanding of MLOps practices, including CI/CD pipelines, containerization, and orchestration tools.
- Excellent problem-solving skills and the ability to work collaboratively within a team.
Preferred Qualifications:
- Experience in a related domain (e.g., Fintech, Healthcare, Gaming).
- Familiarity with data visualization tools and practices.
Benefits
We offer
- Flexible working hours (self-managed)
- Competitive salary
- Annual bonus, subject to company performance
- Access to Udemy online training and opportunities to learn and grow within the role
At Mindera we use technology to build products we are proud of, with people we love.
Software Engineering Applications, including Web and Mobile, are at the core of what we do at Mindera.
We partner with our clients, to understand their products and deliver high-performance, resilient and scalable software systems that create an impact on their users and businesses across the world.
You get to work with a bunch of great people, and the whole team owns the project together.
Our culture reflects our lean and self-organisation attitude.
We encourage our colleagues to take risks, make decisions, work in a collaborative way and talk to everyone to enhance communication. We are proud of our work and we love to learn all and everything while navigating through an Agile, Lean and collaborative environment.
Check out our Blog: http://mindera.com/ and our Handbook: http://bit.ly/MinderaHandbook
Our offices are located: Porto, Portugal | Aveiro, Portugal | Coimbra, Portugal | Leicester, UK | San Diego, USA | Chennai, India | Bengaluru, India
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Azure CI/CD Data pipelines Data visualization Deep Learning Engineering Excel Feature engineering FinTech GCP Machine Learning ML models MLOps Model deployment Model training Pipelines Python PyTorch Reinforcement Learning Scikit-learn TensorFlow Unsupervised Learning
Perks/benefits: Career development Competitive pay Flex hours Salary bonus
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