AI/ML Engineer

About the Role :

We are seeking a highly skilled AI/ML Engineer with hands-on expertise in Generative AI, Deep Learning, LLMs, NLP, and modern cloud technologies. The ideal candidate will have a proven track record of transforming POCs into production-grade AI solutions and driving impactful business outcomes.

Key Responsibilities :

- Design, develop, and deploy advanced AI/ML solutions, with a focus on GenAI, Deep Learning, LLMs, and NLP.

- Build, train, and optimize ML models using TensorFlow, PyTorch, or other leading frameworks.

- Develop data pipelines and workflows for preprocessing, feature engineering, and model evaluation.

- Work closely with cross-functional teams to translate business problems into AI-driven solutions.

- Manage end-to-end model lifecycle from experimentation to deployment and monitoring in production.

- Leverage cloud platforms (AWS / Azure / GCP) for scalable AI development, including tools like EC2, ASG, S3, and RDS.

- Implement best practices for version control, code review, and model governance.

- Create clear technical documentation and communicate results to technical and non-technical stakeholders.

Requirements / Qualifications :

- 3+ years of relevant experience in AI/ML development.

- Programming : Proficiency in Python, Java, or similar. AI/ML Expertise: Strong hands-on experience with GenAI, Deep Learning, LLMs, and NLP.

- Frameworks : TensorFlow, PyTorch, scikit-learn.

- Data Handling : Pandas, NumPy for data manipulation; Matplotlib, Seaborn for visualization.

- Cloud Platforms : Experience with AWS, Azure, or Google Cloud.

- Databases : Proficiency in SQL / NoSQL systems.

- Version Control : Git.

- Demonstrated success in transforming at least 3 POCs into production-grade solutions.

- Strong portfolio showcasing end-to-end AI/ML deployments.

- Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

- Excellent problem-solving abilities with a collaborative, agile mindset.

- Strong communication skills to work effectively across teams.

Nice to Have :

- Advanced knowledge of cloud tools such as EC2, ASG, S3, RDS for scalable AI development.

- Exposure to MLOps practices and CI/CD pipelines for model deployment.

- Experience with containerization (Docker, Kubernetes).