Experience: 5+ years

Key Responsibilities

- Team Leadership:

Lead, guide, and mentor a team of AI/ML engineers and data scientists, fostering a collaborative, innovative, and productive work setting.

- Clean Code &
- Development:

Write clean, maintainable, and error-free Python code for developing robust machine learning systems.

- Model Engineering:

Efficiently design, build, and deploy machine learning models and end-to-end solutions.

- Cross-Functional Collaboration:

Work closely with diverse technical teams to ensure timely and efficient delivery of AI/ML projects.

- Data Science Lifecycle:

Implement end-to-end data science processes, including data preprocessing, exploratory analysis, modeling, evaluation, and deployment.

- Database Management:

Work proficiently with SQL and NoSQL databases to manage and retrieve data effectively.

- API Development:

Develop and integrate RESTful APIs using Python web frameworks (e.g., Fastapi).

- Debugging &

- Optimization:

Diagnose issues and optimize existing code for performance improvements.

- Agile Methodologies:

Follow Agile/Scrum software development lifecycle practices consistently.

- LLM &

- RAG Implementation:

Design, develop, fine-tune, and deploy AI models focusing on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).

- Model Validation &

- Evaluation:

Conduct training, validation, and evaluation experiments, refining models based on statistical analysis and performance metrics.

- Security &

- Compliance:

Ensure that AI/ML solutions adhere to security best practices and data privacy regulations (e.g., GDPR).

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.

- Core Libraries:

Strong 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:

Strong 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.

- Clear 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 Engineer (Ahmedabad)
🏢 Ecosmob Technologies
📍 Ahmedabad