- Location: Bengaluru
- Experience: 2 - 4 yrs
- Technologies / Skills : Data Modelling, Machine Learning Architecture, Databricks, Airflow, Tensorflow, Keras, PyTorch, Sci-kit Learn, AWS cloud, OpenSearch, NLP
About the Role
Our team actively engages in developing recommendation engines for a customer. As a ML Engineer, you have to build a Machine Learning platform which enhances productivity, and increases the speed at which the Machine learning team delivers outcomes. You are expected to participate in building a robust, scalable and maintainable ML Platforms like ML feature stores, ML development utilities, ML deployment, and observability tools (MLOps).
Responsibilities
- Build, and contribute to ML platforms like feature stores, ML deployment infrastructure Bring industry best practices of MLOps and continuously improve the MLOps pipeline to be the best
- Automating machine learning deployment
- Building systems for monitoring all components of ML pipelines
- Identifying and creating modules to implement ML components which are common to multiple ML pipelines
- Implementation of MLOps framework and governance
- Actively contribute in peer code reviews and ensure best practices are followed in ML development
Education level: Bachelor’s degree (B.E. / B. Tech) in Computer Science or equivalent from a reputed institute.
Experience: 2 to 4 years hands-on experience in Machine Learning. Working knowledge of AWS platform is preferred.
Technical Expertise
- Have a sound understanding of data modelling pipelines, optimization techniques, and prevalent ML architectures (Databricks, Airflow and MLFlow)
- Experience with frameworks such as TensorFlow, Keras, PyTorch, and Scikit-Learn
- Solid understanding of AWS cloud platform and experience in deploying the models in cloud architectures
- Knowledge of software testing, deployment and maintenance
- Work closely with cross-functional teams to design, deploy, and improve scalable machine learning models
- Experience on Search, Ranking, Relevance, Recommendations is highly preferred
- Knowledge of PySpark and visualization tools like Grafana
- Moderate background in machine learning and deep learning
About Oneture Technologies
Founded in 2016, Oneture is a cloud-first, full-service digital solutions company, helping clients harness the power of Digital Technologies and Data to drive transformations and turning ideas into business realities.
Our team is full of curious, full-stack, innovative thought leaders who are dedicated to providing outstanding customer experiences and building authentic relationships. We are compelled by our core values to drive transformational results from Ideas to Reality for clients across all company sizes, geographies, and industries. Oneture team delivers full lifecycle solutions—from ideation, project inception, planning through deployment to ongoing support and maintenance.
Our core competencies and technical expertise includes Cloud powered: Product Engineering, Big Data and AI ML. Our deep commitment to value creation for our clients and partners and “Startups-like agility with Enterprises-like maturity” philosophy has helped us establish long-term relationships with our clients and enabled us to build and manage mission-critical platforms for them.
