Remote 6–8 yrs Apply by Oct 29, 2026

Senior Machine Learning Engineer

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

Experience

6–8 yrs

Employment Type

Full-time

Openings

1 position

Apply By

Oct 29, 2026

Required Skills

Python

Job Description

Design, develop, and deploy scalable machine learning systems that power demand forecasting and related AI products. Design and maintain reliable ML workflows across the model lifecycle, including data preparation, experimentation, training, evaluation, deployment, inference, monitoring, and continuous improvement. Build and optimise large-scale data processing and feature engineering pipelines using technologies such as PySpark and Databricks, enabling efficient preparation of training and inference datasets. Develop multimodal machine learning solutions that combine diverse data sources, including product images, text, structured metadata, and behavioural signals, to create rich representations for downstream AI applications. Train and productionise deep learning models using modern architectures such as Transformers, foundation models, and other representation learning approaches. Partner with Applied Scientists to translate new modelling approaches into reliable, scalable production systems. Improve the performance, reliability, scalability, and observability of ML systems operating in production. Drive engineering excellence through architecture discussions, code reviews, mentoring, and knowledge sharing. About You

You'll likely have:

Significant experience designing and deploying machine learning systems in production environments. Strong software engineering skills in Python, with experience building maintainable, tested, and production-quality code.



Strong experience with large-scale data processing using technologies such as PySpark and Databricks. Experience designing and building ML pipelines across the full lifecycle, from data preparation and model development through to deployment and monitoring. Experience developing deep learning models using frameworks such as PyTorch, TensorFlow, or similar. Experience with multimodal machine learning, representation learning, or embedding models, combining data sources such as images, text, structured metadata, or behavioural signals. Strong understanding of up-to-date deep learning architectures, particularly Transformers, foundation models, multimodal learning, and representation learning techniques. Experience working with distributed computing, large datasets, and scalable model training or inference systems. Familiarity with cloud platforms and modern MLOps practices. Strong communication skills and the ability to collaborate effectively with scientists and engineers. A pragmatic mindset, balancing technical excellence with delivering business value.

At a Glance

Work ModeRemote

EmploymentFull-time

Experience6–8 yrs

Openings1

DeadlineOct 29, 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.

📌 Senior Machine Learning Engineer (India)
🏢 Techila Global Services
📍 India