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Senior AI Engineer

Senior AI Engineer

Kanerika SoftwareHyderabad, TG, in
30+ days ago
Job type
  • Quick Apply
Job description

Job Description

We are seeking an experienced Senior AI Engineer to join our dynamic team, driving innovation in AI-driven solutions with a global impact. This role is specifically tailored for a highly motivated professional with a strong technical background in Python and Java, hands-on expertise in developing Retrieval-Augmented Generation (RAG)-based chatbots, Machine Learning, Deep Learning, and solid cloud deployment experience, preferably on AWS. As our Senior AI Engineer, you will spearhead the end-to-end development lifecycle, including solution architecture, design, implementation, deployment, and scaling of cutting-edge AI applications. Your leadership will ensure the delivery of high-performance, reliable, and impactful solutions.

What You Will Do :

  • Lead the design and development of AI-driven applications, particularly focusing on RAGbased chatbot solutions.
  • Architect robust solutions leveraging Python and Java to ensure scalability, reliability, and maintainability.
  • Deploy, manage, and scale AI applications using AWS cloud infrastructure, optimizing performance and resource utilization.
  • Collaborate closely with cross-functional teams to understand requirements, define project scopes, and deliver solutions effectively.
  • Mentor team members, providing guidance on best practices in software development, AI methodologies, and cloud deployments.
  • Ensure solutions meet quality standards, including thorough testing, debugging, performance tuning, and documentation.
  • Continuously research emerging AI technologies and methodologies to incorporate best practices and innovation into our products

Requirements

Required Skills & Qualifications

  • Bachelor's or master's degree in computer science, Engineering, Data Science, Mathematics, Statistics or related fields.
  • At least 3 years of professional experience in AI / Machine Learning engineering.
  • Strong programming skills in Python and Java.
  • Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)- based chatbots or similar generative AI applications.
  • Proficiency in cloud platforms, particularly AWS, including experience with EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API  Gateway.
  • Solid understanding of AI methodologies, including natural language processing (NLP), vector databases, embedding models, and large language model integrations.
  • Experience with leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes.
  • Preferred Qualifications :

  • AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty).
  • Familiarity with popular AI / ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or similar.
  • Experience in Agile development methodologies.
  • Excellent communication skills, capable of conveying complex technical concepts clearly and effectively.
  • Strong analytical and problem-solving capabilities, with the ability to navigate ambiguous technical challenge
  • Benefits

    Employee Benefits

    1. Culture :

    a. Open Door Policy : Encourages open communication and accessibility to management.

    b. Open Office Floor Plan : Fosters a collaborative and interactive work environment.

    c. Flexible Working Hours : Allows employees to have flexibility in their work schedules.

    d. Employee Referral Bonus : Rewards employees for referring qualified candidates.

    e. Appraisal Process Twice a Year : Provides regular performance evaluations and feedback.

    2. Inclusivity and Diversity :

    a. Hiring practices that promote diversity : Ensures a diverse and inclusive workforce.

    b. Mandatory POSH training : Promotes a safe and respectful work environment.

    3. Health Insurance and Wellness Benefits :

    a. GMC and Term Insurance : Offers medical coverage and financial protection.

    b. Health Insurance : Provides coverage for medical expenses.

    c. Disability Insurance : Offers financial support in case of disability.

    4. Child Care & Parental Leave Benefits :

    a. Company-sponsored family events : Creates opportunities for employees and their families to bond.

    b. Generous Parental Leave : Allows parents to take time off after the birth or adoption of a child.

    c. Family Medical Leave : Offers leave for employees to take care of family members' medical needs.

    5. Perks and Time-Off Benefits :

    a. Company-sponsored outings : Organizes recreational activities for employees.

    b. Gratuity : Provides a monetary benefit as a token of appreciation.

    c. Provident Fund : Helps employees save for retirement.

    d. Generous PTO : Offers more than the industry standard for paid time off.

    e. Paid sick days : Allows employees to take paid time off when they are unwell.

    f. Paid holidays : Gives employees paid time off for designated holidays.

    g. Bereavement Leave : Provides time off for employees to grieve the loss of a loved one.

    6. Professional Development Benefits :

    a. L&D with FLEX- Enterprise Learning Repository : Provides access to a learning repository for professional development.

    b. Mentorship Program : Offers guidance and support from experienced professionals.

    c. Job Training : Provides training to enhance job-related skills.

    d. Professional Certification Reimbursements : Assists employees in obtaining professional certifications.

    e. Promote from Within : Encourages internal growth and advancement opportunities

    Requirements

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