Build and productionize machine learning, LLM, and AI solutions with Data Science teams. Design industrialized data-processing pipelines, implement MLOps and LLMOps frameworks, manage model lifecycles, and develop production Python, ML, and cloud solutions using Azure, GCP, Databricks, Spark, and PySpark. Gather requirements, estimate work, document solutions, present results, and support technical best practices.
Role: ML/AI Engineer
Location: India, Remote
Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data.
Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team.
What You'll Be Doing:
- Develop and maintain production ML pipelines using Python and Spark/PySpark.
- Build, deploy, and support MLbased recommendation systems and ranking models.
- Work with Databricks and Unity Catalog for data and ML workflows.
- Use MLflow for experiment tracking and model lifecycle management.
- Monitor model performance and identify data drift and model drift.
- Implement model governance and production monitoring practices.
- Work with SQL and structured data to support ML solutions.
- Collaborate with data engineers, data scientists, and stakeholders to deliver reliable ML solutions.
The person we are looking for will become part of Data Science and AI Competency Center working in AI Engineering team.
The key duties are:
What We're Looking For:
- Minimum 6 years of relevant experience in machine learning engineering or a related role.
- Strong Python programming skills.
- Mandatory handson experience with Databricks.
- Practical experience with production ML pipelines.
- Handson experience with Spark/PySpark.
- Experience with production recommendation systems.
- Knowledge of MLflow and model lifecycle management.
- Understanding of model monitoring, data drift, model drift, and model governance.
- Strong SQL skills.
- Experience with LightGBM (LGBM), XGBoost, or other gradientboosting algorithms.
- Experience with Unity Catalog.
- Familiarity with star schema and data warehousing concepts.
- Experience with ranking and personalization models.
We Offer:
- Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
- 100% remote.
- Flexibility regarding working hours.
- Full-time position
- Comprehensive online onboarding program with a “Buddy” from day 1.
- Cooperation with top-tier engineers and experts.
- Unlimited access to the Udemy learning platform from day 1.
- Certificate training programs. Lingarians earn 500+ technology certificates yearly.
- Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
- Grow as we grow as a company. 76% of our managers are internal promotions.
- A diverse, inclusive, and values-driven community.
- Autonomy to choose the way you work. We trust your ideas.
- Create our community together. Refer your friends to receive bonuses.
- Activities to support your well-being and health.
- Plenty of opportunities to donate to charities and support the environment.
Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.
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