Key Responsibilities

- Data Analysis &
- Preparation:

Independently collect, clean, pre process, and analyze structured and unstructured data to extract actionable insights and prepare datasets for model training and evaluation.

- Model Development:Design, develop, implement, and deploy machine learning models and algorithms to solve real-world business problems.

- Experimentation &

- Optimization:

Design and conduct experiments, evaluate model performance using appropriate metrics, and optimize models for accuracy, scalability, and efficiency.

- Model Deployment &

- Maintenance:

Collaborate on deploying ML models into production environments and monitor model performance over time.

- Documentation:Create and maintain clear documentation for data pipelines, experiments, models, and workflows to ensure reproducibility and knowledge sharing.

- Collaboration:Work closely with cross-functional teams including product, engineering, and data teams to integrate AI/ML solutions into existing systems and workflows.

- Mentorship &

- Review:

Provide guidance to junior team members, participate in code reviews, and contribute to best practices within the team.

- Continuous Learning:Stay updated with the latest AI/ML research, tools, and industry trends, and proactively suggest improvements to existing solutions.

Qualification

- Educational Background:Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.





- Professional Experience:2–4 years of hands-on experience in developing and deploying machine learning or data science solutions.

- Programming Skills:Robust proficiency in Python (or R) with experience in data manipulation and analysis using libraries such as Pandas, NumPy, and SciPy.

- Machine Learning Expertise:Solid understanding of machine learning algorithms including regression, classification, clustering, and model evaluation techniques.

- Data Handling:Experience working with large datasets, feature engineering, and data preprocessing pipelines.

- Analytical Skills:Strong problem-solving skills with attention to detail and the ability to translate business problems into ML solutions.

- Communication:Effective verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.

- Team Collaboration:Proven ability to work in a collaborative, fast-paced environment and manage tasks independently.

Pay: ₹209,607.90 - ₹315,796.53 per year

Application Question(s)

- How many years of hands-on experience do you have in developing and deploying Machine Learning/Data Science solutions?

- How would you rate your proficiency in Python, and which libraries have you worked with extensively (e.g., Pandas, NumPy, SciPy, Scikit-learn)?

- Have you independently developed and deployed an ML model in a production environment? If yes, briefly describe the project, your role, and the deployment approach used.

Work Location: In person

📌 Engineer - AI & ML (Chennai)
🏢 KritiLabs Technologies
📍 Chennai