Amantya Technolgies

Description : Key Qualifications : Technical Skills : - Strong Work Experience of 2-5 years in AI domain- Strong programming skills in Python (preferred), with proficiency in libraries like TensorFlow, PyTorch, or Scikit-learn.- Knowledge of ML operations (MLOps) and experience in deploying models in production environments.- Solid understanding of traditional ML models (e.g., regression, SVM, decision trees, random forests).- Exposure to large language models (e.g., OpenAI GPT, Llama, BERT) and fine-tuning techniques.- Familiarity with NLP techniques, transformers, and generative AI models.Data Expertise : - Hands-on experience with data cleanup, preprocessing, and feature engineering.- Proficiency with data handling tools such as Pandas, NumPy, and SQL.Architecture and Systems : - Understanding of software architecture and experience contributing to system design.- Knowledge of CI/CD pipelines for AI/ML projects.- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes) would be a big plus .Soft Skills : - Strong analytical and problem-solving abilities.- Excellent communication skills with the ability to present ideas effectively.- Proven ability to work collaboratively in a team-oriented environment.Education : - B.Tech/M.Tech/MCA in first Class (CS/IT/ECE) From Tier 1 CollegeKey Responsibilities : AI/ML Development : - Design, implement, and optimize AI pipelines, including data ingestion, preprocessing, model training, and deployment.- Develop and fine-tune traditional machine learning models and integrate them into production systems.- Work on cutting-edge projects involving LLMs, including prompt engineering, fine-tuning, and inference optimization.Data Engineering : - Perform data cleanup and preprocessing, ensuring data quality and consistency.- Develop and implement feature engineering pipelines to enhance model performance.- Collaborate with data engineers to manage large-scale datasets efficiently.Software Development : - Write clean, maintainable, and efficient code in programming languages such as Python, or Go.- Build scalable, robust, and maintainable solutions for AI/ML models and their deployment.- Contribute to architecture design and participate in code reviews to ensure best practices.Collaboration and Communication : - Clearly communicate technical concepts and progress to both technical and non-technical stakeholders.- Act as a team player, contributing to a collaborative and innovative work environment.Continuous Learning : - Stay updated on the latest developments in AI/ML, including advancements in LLMs and model optimization techniques.- Explore and evaluate emerging AI tools and technologies for potential integration into workflows. (ref:hirist.tech)