- Design, develop, and optimize AI/ML models for predictive analytics, classification, NLP, and computer vision.
- Perform end-of-end data analysis, including data collection, preprocessing, feature engineering, and model evaluation.
- Build scalable machine learning pipelines and deploy models into production using MLOps best practices.
- Work with structured and unstructured datasets to extract meaningful insights and drive decision making.
- Develop and implement deep learning models using frameworks like TensorFlow and PyTorch.
- Collaborate with cross functional teams, including data engineers, software developers, and business stakeholders, to deliver AI/ML solutions.
- Implement and optimize algorithms for model accuracy, performance, and scalability.
- Utilize cloud platforms such as AWS, Azure, or GCP for model training and deployment.
- Apply statistical techniques and A/B testing to validate AI/ML models.
- Ensure AI/ML solutions comply with the industrys best practices, security, and ethical AI guidelines.
- Strong experience in Python, R,



or Scala for AI/ML development.
- Hands on experience with machine learning libraries/frameworks.
- Experience with NLP techniques (BERT, Transformers, LLMs), computer vision, and reinforcement learning.
- Strong understanding of MLOps, CI/CD pipelines, and containerization using Docker/Kubernetes.
- Knowledge of model deployment tools like MLflow, TensorFlow Serving, or AWS SageMaker.
- Familiarity with cloud computing services (AWS, Azure, GCP) and Big Data technologies.
- Strong foundation in probability, statistics, and machine learning algorithms.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management skills.
- Ability to work independently and in a team environment.
- Experience with Generative AI models and LLM finetuning.
- Good to have Background in AI ethics and model explainability.
- Valuable to have Certifications in AI/ML

📌 AI/ML Engineer (Secunderabad)
🏢 Prolifics
📍 Secunderabad