Job Summary
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
1. 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.
2. 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.
3. 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.
4. 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.
5. 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
- Bachelor's/Master's 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.
