AI & Machine Learning Engineer - NLP

Description :

We are seeking a highly skilled AI & ML Engineer to design, develop, and deploy advanced machine learning models and AI solutions.

The ideal candidate will have a strong understanding of algorithms, data processing, model optimization, and production-grade ML pipelines.

This role involves collaborating with cross-functional teams to solve complex business problems using AI-driven approaches.

Key Responsibilities :

AI/ML Model Development :

- Design, build, and train machine learning models (supervised, unsupervised, NLP, deep learning).

- Develop predictive models and algorithms to address business problems.

- Optimize models for accuracy, performance, and scalability.

Data Engineering & Processing :

- Work with large datasets : cleaning, preprocessing, transforming, and feature engineering.

- Collaborate with data engineers to improve data quality and pipeline efficiency.

- Build reliable data ingestion processes.

AI System Deployment :

- Deploy machine learning models into production environments.

- Build and maintain end-to-end ML pipelines (MLOps).

- Monitor model performance, retrain models, and manage lifecycle updates.

Research & Innovation :

- Stay updated with the latest trends in AI, deep learning, LLMs, and automation.

- Experiment with new frameworks, architectures, and techniques.

- Conduct PoCs (Proof of Concepts) for emerging AI-driven solutions.

Cross-Team Collaboration :

- Work with product, tech, and business teams to define AI requirements.

- Communicate findings and insights through reports, dashboards, and visualizations.

- Integrate AI models with existing software applications or platforms.

Required Skills & Qualifications :

Technical Skills :

- Strong knowledge of ML algorithms, deep learning architectures, and NLP techniques.

- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, Keras).

- Experience with data tools (Pandas, NumPy, SQL, Spark).

- Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools (Docker, Kubernetes, CI/CD).

- Understanding of LLMs, vector databases, embeddings, and generative AI tools (optional but a huge plus).

Education & Experience :

- Bachelors/Masters degree in Computer Science, AI, ML, Data Science, or related field.

- 2+ years of experience in machine learning or AI development.

- Prior experience deploying models into production is preferred.

Soft Skills :

- Strong problem-solving and analytical thinking.

- Excellent communication and collaboration skills.

- Ability to work in fast-paced, agile environments.

- Curious, innovative, and proactive mindset.

Preferred Qualifications (Optional) :

- Experience with Reinforcement Learning, Transformers, or advanced Deep Learning.

- Knowledge of LLM fine-tuning, RAG systems, or AI automation workflows.

- Contributions to open-source ML projects.

Salary : Competitive and based on experience