AI/ML engineer

Designation : AI/ML Engineer

Industry Experience: 3- 5 years

Education: Bachelors / Master’s Computer Science, AI/ML, Statistics or Math.

Technical Proficiency:

· Hands-on conceptualization through deployment AI solution development experience.

· Supervised and Unsupervised ML.

· CNN, ANN, RNN, GANs.

· Causal Inferencing, Significance Testing, A/B testing.

· Gradient Descent, Multi-objective optimization, Combinatorial Optimization.

· Linear Regression, Logistic Regression, RF, Clustering, SVMs, Boosting.

· Transformers, LLM, NLP and Conversational AI.

· Knowledge Graphs, Graph Database, Intelligent Agents and RAG

· Python, R, Oracle, Git, JIRA, Azure, testRigor, TensorFlow, Pytorch, SkLearn

· CI/CD, DevOps and Containerization (Docker, Kubernetes).

· Microservices.

Responsibilities:

· Understand business challenges, ask right questions, define precise problem statements, develop solution approaches that advance the state of the art, solve critical technical problems, lead the team, and rapidly deliver highly effective solutions.

· Contributing to full solution life cycle for creating industry-first Conversational Self-Learning Solutions..

· Collaborating with cross-functional teams, understanding business challenges, asking right questions, defining precise problem statements, developing solution approaches, solving critical technical problems to rapidly deliver highly effective solutions.

· Rigorously practicing PristineAI’s formal solution life cycle process.

· Creating, reviewing, and certifying formal artifacts: Requirement Def, logical solution, tech design and code.

· Generating/writing scalable, reliable, and maintainable high-standard code.

· Developing AI/ML models and algorithms and integrating them with our solution platform.

· Deploying models and application components into production environments.

· Stay updated with the latest industry concepts and technologies