AI/ML Engineer

Role & responsibilities

What youll do

• Collaborate with stakeholders to understand business objectives and requirements for AI/ML projects.
  
• Conduct research and stay up-to-date with the latest AI/ML algorithms, techniques, and frameworks.
  
• Design and develop machine learning models, algorithms, and data pipelines.
  
• Collect, pre-process, and clean large datasets to ensure data quality and reliability.
  
• Train, evaluate, and optimize machine learning models using appropriate evaluation metrics.
  
• Implement and deploy AI/ML models into production environments.
  
• Monitor model performance and propose enhancements or updates as needed.
  
• Collaborate with software engineers to integrate AI/ML capabilities into existing software systems.
  
• Perform data analysis and visualization to derive actionable insights.
  
• Stay informed about emerging trends and advancements in the field of AI/ML and apply them to improve existing solutions.
  
  

What youll bring

• Bachelor's or Master's degree in Computer Science, Engineering, Maths, Stats or a related field.
  
• Proven experience of 3-5 years as an AI/ML Engineer or a similar role.
  
• Strong knowledge of machine learning algorithms, deep learning frameworks, and data science concepts.
  
• Proficiency in programming languages such as Python, SQL , Having knowledge on Java, React.js,R, Matlab will be additional .
  
• Experience with popular AI/ML libraries and frameworks, such as TensorFlow, Keras, PyTorch, or scikit-learn.
  
• Experience with GEN- AI framework and Implementation.
  
• Familiarity with any of the cloud platforms, such as AWS, Azure, or GCP and deployment, and their AI/ML services.
  
• Solid understanding of data pre-processing, feature engineering, and model evaluation techniques, Hyperparameter tuning.
  
• Very Good understanding of Liner Algebra & Stats.
  
• Experience in deploying and scaling machine learning models in production environments.
  
• Strong problem-solving skills and ability to work on multiple projects simultaneously.
  
• Excellent communication and teamwork skills.
  

Preferred Skills

• Experience with natural language processing (NLP) techniques and tools.
  
• Familiarity with big data technologies, such as Hadoop, Spark, or Hive.
  
• Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
  
• Understanding of DevOps practices for AI/ML model deployment.

Benefits

1. Culture:

• Open Door Policy: Encourages open communication and accessibility to management.
  
• Open Office Floor Plan: Fosters a collaborative and interactive work environment.
  
• Flexible Working Hours: Allows employees to have flexibility in their work schedules.
  
• Employee Referral Bonus: Rewards employees for referring qualified candidates.
  
• Appraisal Process Twice a Year: Provides regular performance evaluations and feedback.
  

2. Inclusivity and Diversity:

• Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.
  
• Mandatory POSH training: Promotes a safe and respectful work environment.
  

3. Health Insurance and Wellness Benefits:

• GMC and Term Insurance: Offers medical coverage and financial protection.
  
• Health Insurance: Provides coverage for medical expenses.
  
• Disability Insurance: Offers financial support in case of disability.
  

4. Child Care & Parental Leave Benefits:

• Company-sponsored family events: Creates opportunities for employees and their families to bond.
  
• Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.
  
• Family Medical Leave: Offers leave for employees to take care of family members' medical needs.
  

5. Perks and Time-Off Benefits:

• Company-sponsored outings: Organizes recreational activities for employees.
  
• Gratuity: Provides a monetary benefit as a token of appreciation.
  
• Provident Fund: Helps employees save for retirement.
  
• Generous PTO: Offers more than the industry standard for paid time off.
  
• Paid sick days: Allows employees to take paid time off when they are unwell.
  
• Paid holidays: Gives employees paid time off for designated holidays.
  
• Bereavement Leave: Provides time off for employees to grieve the loss of a loved one.
  

6. Professional Development Benefits:

• L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development.
  
• Mentorship Program: Offers guidance and support from experienced professionals.
  
• Job Training: Provides training to enhance job-related skills.
  
• Professional Certification Reimbursements: Assists employees in obtaining professional certifications.
  

Promote from Within: Encourages internal growth and advancement opportunities