Experience: 5.00 + years

Salary : SGD 48000-84000 / year (based on experience)

Shift : (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type : Remote

Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month)

(*Spark, Generative AI models, LLM, rag, AWS, Docker, GCP, Kafka, Kubernetes, Machine Learning, Python, SQL

We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments

Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization

Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit

Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices

Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance

Build, test, and deploy real-time prediction models, maintaining version control and performance tracking

Bachelor's, Master's, or PhD in Computer Science,



Engineering, or a related field

- 5+ years of experience in building, deploying, and scaling machine learning models in production environments
- Experience deploying Generative AI models in production environments, with a robust understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques
- Proven experience with the full product lifecycle, taking models from R&D; to deployment in fast-paced environments
- Experience working in a product-based company, preferably within a startup environment with early-stage technical product development
- Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
- Experience with real-time data processing, anomaly detection, and time-series forecasting in production
- Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions
- A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results
- Engagement Type: Direct-hire

Job Type: Permanent

Location: Remote

Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today.

📌 Senior Machine Learning Engineer (Permanent) (Faridabad)
🏢 Uplers
📍 Faridabad