Associate Manager - Machine Learning (8-16 yrs)

Job Responsibilities :

- Lead and manage the team by setting clear goals, priorities, and performance expectations that align with business objectives, ensuring everyone stays focused, motivated, and on track to meet project milestones.

- Architect and oversee the entire lifecycle of multiple machine learning projects, collaborating with stakeholders to deliver on time and in line with business needs while proactively addressing challenges as they arise.

- Take ownership of complex technical and operational issues during the project lifecycle, troubleshooting and providing solutions to keep projects moving forward efficiently

- Work closely with the infrastructure and engineering teams to ensure models are deployed and integrated seamlessly into production environments.

- Foster a culture of continuous improvement by implementing agile practices, running regular retrospectives, and applying lessons learned to enhance future projects and processes.

- Stay up to date with emerging machine learning technologies, conducting research and prototyping new algorithms to solve complex challenges.

- Motivate the team to consistently deliver high-quality results on time while maintaining a collaborative and positive work environment.

Skills & Qualifications :

- Bachelor's or Master's degree in Computer Science or any other analytically inclined field of study.

- 10+ years of experience as an Applied Machine Learning Engineer or Data Scientist, with a minimum of 5 years of expertise in Python.

- Hands-on experience with Core Python and advanced Python features and libraries such as requests, TensorFlow, Keras, PyTorch, Pillow, Scrapy, Numpy, Pandas, Matplotlib, SQLAlchemy, Django, Flask, Twisted and FAST API.

- Experience in system design and architecture, with a strong command over design principles focused on Python.

- Minimum a year experience in Gen AI, Agentic AI, Large Language Models (LLMs like LangChain, LLaMA, transformer models), RAG.

- Skilled in NLP, NLG, Text Analytics, Transformer-based models, and Deep Learning concepts like CNNs, RNNs, LSTM, GRU.

- Involved in classification and clustering algorithms, including ensemble models like Gradient Boosting Machines, XGBoost, LightGBM, Predictive Modelling, Decision tree, Linear regression, SVM etc.

- In-depth knowledge in Object-Oriented Programming (OOPs) and Databases (SQL & NoSQL).

- Proficient in using ORM tools like SQLAlchemy or Django ORM, with expertise in developing, integrating, and testing RESTful services.

- Hands-on experience in debugging and using testing frameworks like pytest or unit test.

- Familiar with front-end fundamentals and web development frameworks, with a deep understanding of Agile methodology.

- Excellent communication skills and possess strong problem-solving skills.