ML/AI Engineer – Classical ML

This is a fully remote position, open to applicants in India.

📋 Description

• Collaborate with Data Science teams to deploy Machine Learning models into production environments.

• Create innovative and scalable LLM/ML/AI automation solutions to enhance efficiency.

• Design, implement, and oversee industrial-grade processing pipelines.

• Establish and apply best practices for ML model life cycles and ML operations/LLM operations.

• Deploy AI/MLOps/LLMOps frameworks and assist Data Science teams in adopting best practices.

• Acquire and utilize knowledge of contemporary ML Architecture and Operations tools, techniques, and frameworks.

• Collect technical requirements and provide estimates for planned work.

• Communicate solutions, concepts, and outcomes to both internal and external stakeholders.

• Generate technical documentation.

⛳️ Requirements

• Minimum of 5 years of experience in Data Engineering, with the last 3 years focused on building data processing systems.

• Proven experience with ML-based production recommendation systems.

• At least 5 years of experience in developing production-ready Python code, including microservices and APIs.

• A minimum of 3 years of experience creating production-ready ML-related code.

• Hands-on experience with MLOps/LLMOps tools such as AzureML/AzureAI or GCP VertexAI.

• Practical experience with Databricks.

• Strong understanding of ML/AI concepts, encompassing algorithms, machine learning frameworks, model efficiency metrics, model life cycles, and AI architectures.

• Solid grasp of cloud concepts and architectures, with practical knowledge of chosen cloud services, preferably Azure or GCP.

• Experience in at least one of the following areas: Data Warehouse, Data Lake, Data Integration, Data Governance, Machine Learning, Deep Learning, or MLOps.

• Practical knowledge of Spark/PySpark and Hive within Big Data Platforms like Databricks, EMR, or similar.

• Experience in designing and implementing data pipelines.

• Strong communication skills.

• Ability to work collaboratively in a team and provide support to colleagues.

• Accountability for tasks and deliverables.

• Proficient problem-solving skills and critical thinking abilities.

• Proficiency in written and spoken English.

🏝️ Benefits

• Stable employment with a company established since 2008.

• Fully remote work environment.

• Flexible working hours.

• Full-time employment position.

• Comprehensive online onboarding program with a “Buddy” from day one.

• Collaboration with top-tier engineers and experts.

• Unlimited access to the Udemy learning platform from day one.

• Certificate training programs available.

• Support for upskilling, capability development programs, Competency Centers, knowledge sharing sessions, community webinars, and over 110 training opportunities annually.

• Opportunities for internal career advancement.

• A diverse, inclusive, and values-driven community.

• Autonomy in determining how you work.

• Referral bonuses available.

• Activities promoting well-being and health.

• Opportunities to contribute to charities and environmental support.