Technical Qualifications
Python Expertise: 3–5 years of hands-on experience with Python programming.
ML/DL Experience: 3–5 years of experience building, training, and deploying Machine Learning and Deep Learning models.
Deep Learning Frameworks: Proficiency with TensorFlow, PyTorch, and Keras.
Web Frameworks: Solid experience with Python web frameworks (Flask, Django) for API development.
Core Libraries: Solid expertise in NumPy, Pandas, Matplotlib, Scikit-learn, SpaCy, NLTK, and HuggingFace Transformers.
Algorithms & Techniques: Deep understanding of ML/DL algorithms, with advanced techniques in NLP and/or Computer Vision.
Production-Grade AI: Proven experience designing and deploying AI solutions leveraging LLMs and RAG.
NLP & Conversational AI: Hands-on expertise in text representation, semantic extraction, sentiment analysis, and conversational AI.
Concurrency: Practical knowledge of multithreading, concurrency, and asynchronous programming in Python.
Database Proficiency: Advanced skills in SQL (PostgreSQL, MySQL, SQLite, MariaDB)



and NoSQL (MongoDB) databases.
Deployment & MLOps: Experience with containerization (Docker/Kubernetes), cloud platforms (AWS, Azure, GCP), and familiarity with MLOps principles for CI/CD, monitoring, and logging.
Version Control: Proficient understanding of Git and Bitbucket for software version control.
C++: Experience with C++ development is a plus.

Soft Skills
Analytical Thinking: Solid analytical and structured problem-solving capabilities.
Proactive Problem-Solving: Logical reasoning and a hands-on approach to debugging and optimization.
Team Collaboration: Effective interpersonal skills to work seamlessly with cross-functional teams.
Explicit Communication: Excellent ability to articulate technical concepts to diverse audiences.
Continuous Learning: Commitment to staying current on emerging trends in AI/ML, NLP, and Computer Vision

📌 Senior Ai/ml Developer Ahmedabad (India)
🏢 Ecosmob Technologies
📍 India