Senior Machine Learning Engineer

Experience

: 3.00 + years

Salary

: INR 3000000-4000000 / year (based on experience)

Expected Notice Period

: 15 Days

Shift

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

Opportunity Type

: Remote

Placement Type

: Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH)

(*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company)What do you need for this opportunity?Must have skills required:Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine LearningAI-powered Industrial Bid Automation Company is Looking for:

We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI.Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence.

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Role Description

• Design, build, and optimize ML models for intelligent requirement understanding and automation.
• Develop scalable, production-grade AI pipelines and APIs.
• Own the deployment lifecycle, including model serving, monitoring, and continuous delivery.
• Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability.
• Work on large-scale data processing and real-time pipelines.
• Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments.
• Analyze and improve the efficiency and scalability of ML systems in production.
• Stay current with the latest AI/ML research and translate innovations into product enhancements.
  

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What are we looking for

• 3+ years of experience in ML/AI engineering with shipped products.
• Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong software engineering practices: version control, testing, documentation.
• Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques.
• Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP).
• Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.).
• Good understanding of microservices, distributed systems and model performance optimization.
• Comfortable in a fast-paced startup environment; proactive and curious mindset.
  

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Bonus Points:

• Experience with natural language processing, document understanding, or LLM (Large Language Model).
• Experience with Knowledge Graph technologies
• Experience with logging/monitoring tools (e.g., Prometheus, Grafana).
• Knowledge of requirement engineering or PLM systems.
  

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What we offer:

• Attractive Compensation
• Work on impactful AI products solving real industrial challenges.
• A collaborative, agile, and supportive team culture.
• Flexible work hours and location (hybrid/remote).
  

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!