Experience: 5.00 + years
Salary: SGD 48000-84000 / year (based on experience)
Expected Notice Period: 15 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Remote
Placement Type: Full Time Indefinite Contract(40 hrs a week/160 hrs a month)
(*Note: This is a requirement for one of Uplers' client - Portcast)
What do you need for this opportunity
Must have skills required:
Spark, Generative AI models, LLM, rag, AWS, Docker, GCP, Kafka, Kubernetes, Machine Learning, Python, SQL
Portcast is Looking for:
About the role:
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. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems.
What You'll Do:
- 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
To thrive in this role, you must have:
- 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 strong 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
- First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges
- A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results
- Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset
Engagement Type: Direct-hire
Job Type: Permanent
Location: Remote
Working time: 9:00 AM to 6:00 PM IST
Interview Process -
- Technical Interview
- Assessment
- Panel Interview
- Final CEO Round
How to apply for this opportunity
- Step 1: Click On Apply! And Register or Login on our portal.
- Step 2: Complete the Screening Form & Upload updated Resume
- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
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. We are waiting for you!
Skills Required
Machine Learning, Docker, Spark, Kafka, Kubernetes, Gcp, Sql, Llm, Aws, Python
