Remote 5–6 yrs Apply by Oct 15, 2026

ML Engineer (Databricks focused)

Join Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.

Experience

5–6 yrs

Employment Type

Full-time

Openings

1 position

Apply By

Oct 15, 2026

Required Skills

AWS

Job Description

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Artificial Intelligence, or a related field. 5+ years of experience in Machine Learning, Data Science, or AI-related roles. Strong hands-on experience with Databricks (mandatory). Expertise in Databricks ML, Delta Lake, Unity Catalog, MLflow, and Databricks Workflows. Robust proficiency in Python, PySpark, SQL, and Spark. Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM. Experience building and deploying machine learning models in production environments. Strong understanding of feature engineering, model evaluation, hyperparameter tuning, and model monitoring.



Experience with cloud platforms such as Azure, AWS, or GCP. Knowledge of CI/CD pipelines and MLOps practices.

At a Glance

Work ModeRemote

EmploymentFull-time

Experience5–6 yrs

Openings1

DeadlineOct 15, 2026

[ Hiring process ]

What to expect

Four stages, typically completed within 2–3 weeks. We respect your time — every stage has a clear purpose and timely feedback.

- STEP 0130 min

Screening Call

Introductory conversation with our talent team to understand your background and motivations.

- STEP 0260–90 min

Technical Round

Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.

- STEP 0345 min

Culture Fit

Conversation with practice leadership covering working style, ownership, and how you collaborate.

- STEP 04Within 5 days

Offer

Formal offer with full compensation breakdown, start date, and onboarding plan.

📌 ML Engineer (Databricks focused) (India)
🏢 Techila Global Services
📍 India