ML/AI Engineer – GCP, Azure

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

📋 Description

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

• Designing and delivering GenAI solutions.

• Implementing practical and innovative LLM/ML/AI automation for scalability and efficiency.

• Designing, delivering, and managing industrial-grade processing pipelines.

• Defining and executing best practices for the ML models lifecycle and ML operations/LLM operations.

• Establishing AI/MLOps/LLMOps frameworks and assisting Data Science teams in adhering to best practices.

• Acquiring and utilizing knowledge of contemporary techniques, tools, and frameworks in ML Architecture and Operations.

• Gathering technical requirements and estimating workloads.

• Presenting solutions, concepts, and outcomes to both internal and external clients.

• Developing technical documentation.

⛳️ Requirements

• A minimum of 5 years of experience in Data Engineering, with the last 3 years focused on building Data processing.

• At least 5 years of experience in developing production-ready Python code (e.g., microservices, APIs, etc.).

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

• At least 1 year of experience with GenAI (ChatGPT, Gemini, RAGs, prompt engineering).

• Practical experience with MLOps/LLMOps tools such as AzureML/AzureAI.

• Hands-on experience with Databricks.

• Solid understanding of ML/AI concepts, including algorithm types, machine learning frameworks, model efficiency metrics, model lifecycle, and AI architectures.

• Familiarity with Cloud concepts and architectures, along with hands-on knowledge of selected 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, MLOps.

• Practical experience with Spark/PySpark and Hive in Big Data Platforms like Databricks, EMR, or similar.

• Experience in designing and implementing data pipelines.

• Strong communication skills.

• Ability to collaborate in a team and provide support to peers.

• Willingness to take responsibility for tasks and deliverables.

• Excellent problem-solving abilities and critical thinking skills.

• Proficiency in written and spoken English.

🏝️ Benefits

• Stable employment. Established in 2008, with over 1500 talents currently onboard across 7 global locations.

• “Office as an option” model, allowing you to choose between remote work or office presence, based on your location.

• Flexible working hours and options for your preferred type of contract.

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

• Collaboration with top-tier engineers and experts.

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

• Certificate training programs, with Lingarians earning over 500 technology certifications annually.

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

• An internal Gallup Certified Strengths Coach available to support your growth.

• Opportunities to advance as the company grows; 76% of our managers are promoted from within.

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

• Autonomy to choose your working style, with trust in your ideas.

• Join us in building our community; refer friends and earn bonuses.

• Activities focused on promoting your well-being and health.

• Numerous opportunities to contribute to charitable causes and environmental initiatives.

• Modern office equipment available for you or for borrowing, depending on your location.