About the company
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a ML/AI Engineer – Classical ML based in India.
Responsibilities
- Collaborate with Data Science teams to deploy, integrate, and maintain machine learning models in production environments.
- Develop practical and innovative ML, AI, and LLM automation solutions that improve scalability, operational efficiency, and performance.
- Design, implement, and manage industrialized data processing pipelines and production-ready machine learning workflows.
- Define and implement best practices for the machine learning lifecycle, MLOps, and LLMOps.
- Implement and support AI engineering, MLOps, and LLMOps frameworks.
- Research and apply modern techniques, tools, and frameworks for machine learning architecture and operations.
- Gather technical requirements, estimate workloads, and contribute to planning and delivery activities.
- Present technical solutions, concepts, and results to internal and external stakeholders.
- Create and maintain technical documentation.
- Collaborate with cross-functional teams to solve technical challenges.
Requirements
- At least 5 years of data engineering experience, including the last 3 years focused on building and maintaining data processing solutions.
- Hands-on experience developing and deploying production-grade machine learning recommendation systems.
- At least 5 years of experience writing production-ready Python code, including microservices, APIs, or similar applications.
- At least 3 years of experience developing production-ready code for machine learning applications.
- Practical experience with MLOps and LLMOps tools and platforms, such as Azure Machine Learning, Azure AI, or Google Cloud Vertex AI.
- Hands-on experience with Databricks and familiarity with big data processing technologies, including Spark, PySpark, and Hive, in environments such as Databricks, Amazon EMR, or equivalent platforms.
- Strong understanding of machine learning and AI concepts, including algorithm types, ML frameworks, model performance and efficiency metrics, model lifecycle management, and AI architectures.
- Good understanding of cloud computing concepts and architectures, preferably on Microsoft Azure or Google Cloud Platform.
- Experience in at least one of the following areas: data warehousing, data lakes, data integration, data governance, machine learning, deep learning, or MLOps.
- Proven experience designing, implementing, and maintaining data pipelines and scalable data processing solutions.
- Strong problem-solving and critical-thinking skills.
- Excellent communication and collaboration skills.
- Fluency in written and spoken English.
- A proactive mindset, willingness to learn, and motivation to contribute to a collaborative, knowledge-sharing environment.
Conditions
- 100% remote work: Work from anywhere in India.
- Flexible working hours.
- Full-time, stable employment.
- Structured onboarding with a dedicated buddy.
- Expert collaboration with experienced engineers and data science professionals.
- Continuous learning: Access to the Udemy learning platform from day one.
- Professional certifications: certificate training programs.
- Upskilling and development: capability development programs, Competency Centers, knowledge-sharing sessions, community webinars.
- Career progression: internal mobility and advancement opportunities.
- Inclusive work environment.
- Autonomy and ownership.
- Referral rewards.
- Well-being initiatives.