AIML Engineer - (2-4 yrs)

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:**Strong 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: ₹279,000.00 - ₹490,000.00 per year

Application Question(s):

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

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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.

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Current CTC
Expected CTC
Notice Period

Work Location: In person