How to Apply:

Apply through Linked-In Easy Apply then login to https://candidate.recruitbots.ai/?utm_source=mle-a-r-i. More detailed instructions on onboarding.

Company: RecruitBots AI

Location: Remote · India

Experience: 2–5 years (Associate)

Type: Full-time

Salary: ₹10 - 22 LPA

About the role

We are looking for an ML Engineer with 2–5 years of experience who enjoys building, training, and deploying machine learning systems that solve real business problems.

You will work closely with our engineering and product teams to develop, evaluate, deploy, and monitor ML models and pipelines using modern frameworks and cloud tools.

The role covers supervised and deep learning, NLP, LLM fine-tuning, MLOps, model deployment, and model evaluation.

Responsibilities

- Build, train, and evaluate machine learning and deep learning models for production use cases.
- Design and maintain data pipelines for ingestion, cleaning, feature engineering, and labeling.
- Fine-tune and adapt LLMs and transformer models for NLP and classification tasks.
- Deploy models as scalable APIs and services using FastAPI, Docker, and cloud platforms.
- Set up MLOps workflows including experiment tracking, model versioning,CI/CD, and monitoring.
- Evaluate models for accuracy, precision/recall, bias, latency, and cost, and run A/B tests.
- Optimize models for inference speed and resource usage (quantization, batching,caching).
- Monitor deployed models for drift and performance degradation and retrain when needed.
- Work with embeddings, semantic search, and recommendation or ranking systems where required.
- Debug model behavior and analyze errors to identify and resolve issues.
- Document experiments and share findings with engineering and product teams.




- Stay updated with developments in machine learning, LLMs, and applied AI research.

Required Skills

- 2–5 years of experience in machine learning or applied data science.
- Strong programming skills in Python and libraries such as NumPy, Pandas, and scikit-learn.
- Hands-on experience with PyTorch or TensorFlow.
- Solid understanding of ML fundamentals, statistics, and model evaluation.
- Experience deploying models to production via REST APIs.
- Experience with SQL and working with large datasets.
- Familiarity with Git/GitHub and experiment tracking tools.
- Good problem-solving and debugging skills.

Good to Have

- Experience with Hugging Face Transformers and LLM fine-tuning (LoRA/PEFT).
- Experience with MLflow, Weights & Biases, Airflow, or similar MLOps tools.
- Experience with Docker, Kubernetes, and AWS/GCP/Azure.
- Familiarity with vector databases, RAG, and semantic search.
- Exposure to NLP, Speech AI, or Computer Vision.
- Experience with Spark or other distributed data tools.

Education

- Bachelor's degree in Computer Science, Information Technology, AI/ML, or a related field.
- Master's degree in a related field is a plus; strong applied ML projects and production experience are equally valued.

What We're Looking For

- Strong ML fundamentals and genuine curiosity about AI and emerging technologies.
- Ability to move models from notebook to production reliably.
- Ability to experiment, learn, and iterate quickly.
- Strong problem-solving and analytical skills.
- Positive communication and collaboration skills in a remote team.
- A builder mindset and enthusiasm for turning data into working products.
- Hands-on projects matter more than certifications.
- Self-driven and comfortable working independently in a remote setup.

📌 ML Engineer (India)
🏢 RecruitBots AI
📍 India