Live opening · Posted 3 days ago

Machine Learning Engineer

Droisys · India (Remote)
Linkedin Yes
JobBeeper subscribers received an alert for this role.

At a glance

The key details from the original listing.

Posted 3 days ago
CompanyDroisys
LocationIndia (Remote)
Work modeYes
SkillsMachine Learning, Python, AWS, Azure, GCP, Docker, Kubernetes
SourceLinkedin
ListedPosted 3 days ago

About the role

Description supplied by the original job listing.

About Droisys
Droisys is a dynamic, fast-growing technology company dedicated to delivering cutting-edge solutions to clients worldwide. We pride ourselves on innovation, collaboration, and exceptional client service.
We are seeking a highly organized, outgoing, and proactive Assistant Coordinator to support our management team and ensure seamless communication with clients. This role is ideal for someone who thrives in a fast-paced environment, enjoys engaging with people, and can balance multiple priorities with professionalism.
AI / Machine Learning Engineer (2+ Years Experience)
Location: Remote India
Full‑time | Immediate Requirement
We’re looking for a strong AI/ML Engineer to build scalable models, LLM solutions, and intelligent systems that power next‑gen products. This role is ideal for someone who thrives in fast‑moving environments and enjoys solving complex technical problems with real business impact.
Responsibilities
Build, train, and optimize ML & Deep Learning models (Python, PyTorch/TensorFlow).
Develop LLM, RAG, embeddings, and vector‑search–based solutions.
Design scalable data pipelines and model‑serving infrastructure.
Deploy models using MLOps tools; monitor performance & drift.
Collaborate with Data, Product, and Engineering teams to deliver AI‑driven features.
Qualifications
2+ years of hands‑on experience in ML/AI engineering.
Strong Python skills; experience with PyTorch or TensorFlow.
Solid understanding of LLMs, transformers, NLP, and vector databases.
Cloud experience (AWS/GCP/Azure) + familiarity with MLOps frameworks.
Strong grasp of algorithms, data structures, and distributed systems.
Nice to Have
Experience fine‑tuning LLMs or building agentic workflows.
Knowledge of RL, multimodal models, Docker/Kubernetes, CI/CD.
Open‑source contributions or Kaggle projects.
At Droisys, we believe in creating an inclusive and collaborative workplace where every team member has the opportunity to grow. We are an equal opportunity employer that values diversity, inclusion, and belonging. We welcome candidates of all backgrounds and do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age,
marital status, veteran status, disability, or any other characteristic protected by law.
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

Work arrangement
Yes

Your early-applicant advantage

Live timing from JobBeeper.

Live data
6 min from Linkedin publishing this role to us finding it
5 min median time from a role going live to a subscriber being told
6 hours subscribers had this role before this page existed
10,762 roles found in the last 24 hours — the newest are not on this site yet
See available plans →

More openings worth a look

Recently tracked roles with full details and direct application links.

6 roles
Good roles move before most people even see them. Tell JobBeeper what you want and get fresh matches delivered in minutes.
Create free account →
⚡ Get fresh job alerts 📱 Get App