AI/ML Engineer (India)

AI/ML Engineer (India)

03 Aug
|
KritiLabs Technologies
|
India

03 Aug

KritiLabs Technologies

India

Why Choose Kritilabs?

- Team-oriented Culture: Join a team of diverse professionals who collaborate, inspire, and support each other in achieving common goals.
- Opportunities for Growth: We are committed to helping our employees grow both personally and professionally through training, mentorship programs, and career development initiatives.
- Innovative Projects: Work on cutting-edge projects and initiatives that challenge conventional thinking and push the boundaries of innovation.
- Work-Life Balance: We understand the importance of maintaining a healthy work-life balance and offer flexible work arrangements to accommodate our employees' needs.
- Competitive Benefits: Enjoy a comprehensive benefits package including health insurance, retirement plans, paid time off, and more.

Careers

At KritiLabs, we believe in fostering a dynamic, innovative, and inclusive work environment where every individual's contributions are valued and celebrated. We're always on the lookout for talented individuals who are passionate about making a difference and driving positive change in their fields.

AI/ML Engineer

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.

Preferred Qualifications:

- Frameworks & Tools:Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Deployment Experience:Exposure to model deployment using cloud platforms, APIs, or MLOps tools is a plus.
- Projects:Demonstrated experience through professional projects involving end-to-end ML solution development.
- Big Data & Databases:Familiarity with SQL, NoSQL databases, or big data tools is advantageous.

Location: Chennai

Experience: 2 – 4 years

Mode of Work: Work from office

📌 AI/ML Engineer (India)
🏢 KritiLabs Technologies
📍 India

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