Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Home
>
Jobs in noida
>
Tecorb Technologies
>
AI/ML Engineer- ML02

AI/ML Engineer- ML02

Tecorb Technologies

0 years

0 Lacs

noida

Posted:1 day ago| Platform: GlassDoor logo

Apply

Skills Required

ai ml reinforcement learning design engineering integration cutting tuning data preprocessing fastapi deployment docker kubernetes aws gcp azure model latency mlflow tracking research code documentation python numpy pytorch sagemaker vertex algebra probability statistics debugging agile scrum jira communication collaborative service compensation

Work Mode

On-site

Job Type

Full Time

Job Description

We Promise You An Inclusive Work Environment

AI/ML Engineer- ML02

AI/ML Engineer – LLMs, RAG, Reinforcement Learning
Experience: Not required Employment Type: Full-time Studies : Mtech or PhD

About the Role
We are building enterprise-grade AI/ML solutions including SLMs, LLMs, RAG-based knowledge systems, reinforcement learning, and agentic AI,

As a Mid-level AI/ML Engineer, you will design, train, and deploy machine learning models,
collaborate with our product and engineering teams, and ensure scalable integration of AI models into real-world applications.

This role is ideal for someone with a strong hands-on background in NLP, deep learning,
and reinforcement learning, who is eager to grow by working on cutting-edge AI projects at scale.

Key Responsibilities

Design, train, and fine-tune ML/DL models (with focus on transformers, SLMs,

LLMs, and recommender systems).

Implement RAG pipelines using vector databases (Pinecone, Weaviate, FAISS) and

frameworks like LangChain or LlamaIndex.

Contribute to LLM fine-tuning using LoRA, QLoRA, and PEFT techniques.
Work on reinforcement learning (RL/RLHF) for optimizing LLM responses.
Build data preprocessing pipelines for structured and unstructured datasets.
Collaborate with backend engineers to expose models as APIs using FastAPI/Flask.
Ensure scalable deployment using Docker, Kubernetes, AWS/GCP/Azure ML

services.

Monitor and optimize model performance (latency, accuracy, hallucination rates).
Use MLflow / Weights & Biases for experiment tracking and versioning.
Stay updated with the latest research papers and open-source tools in AI/ML.
Contribute to code reviews, technical documentation, and best practices.

Required Skills & Qualifications

Strong in Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow).
Solid understanding of NLP and LLM architectures (Transformers, BERT, GPT,

LLaMA, Mistral).

Practical experience with vector databases (Pinecone, or FAISS or PgVector).
Basic Knowledge with MLOps tools – Docker, Kubernetes, MLflow, CI/CD.
Basic Knowledge of cloud platforms (AWS Sagemaker, GCP Vertex AI, or Azure

ML).

Good grasp of linear algebra, probability, statistics, optimization.
Strong debugging, problem-solving, and analytical skills.
Familiarity with Agile methodologies (Scrum, Jira, Git).

Nice-to-Have Skills

Experience with RLHF pipelines.
Open-source contributions in AI/ML.

Soft Skills

Strong communication – able to explain AI concepts to technical & non-technical

stakeholders.

Collaborative – works well with product, design, and engineering teams.
Growth mindset – eager to learn new AI techniques and experiment.
Accountability – able to deliver end-to-end model pipelines with minimal

supervision.

Can works in a team.

What We Offer

Work on cutting-edge AI projects with real-world enterprise impact.
Exposure to LLMs, reinforcement learning, and agentic AI.
Collaborative Startup & Service culture with room for fast growth.
Competitive compensation + performance-based incentives.

More Jobs at Tecorb Technologies

AI/ML Engineer- ML02

noida

Experience: Not specified

Salary: Not disclosed

Senior Marketing Manager (SMM-01)

noida

Experience: Not specified

Salary: Not disclosed

AI/ML Engineer

noida, uttar pradesh

Experience: Not specified

Salary: Not disclosed

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.