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<h5><b>Job Title – Artificial Intelligence (AI) Engineer</b></h5>
</br>

<h5><b>Role Overview</b></h5>
<p>
The Artificial Intelligence (AI) Engineer with 4-6 years of experience will play a pivotal role in the Information Technology (IT) department, contributing to the development and deployment of AI-driven solutions across various domains. This role is critical in driving innovation, enhancing operational efficiency, and enabling data-driven decision-making. The AI Engineer will collaborate with cross-functional teams to design, implement, and optimize AI models and systems, ensuring alignment with organizational goals. This position offers an opportunity to work on cutting-edge technologies and make a strategic impact in a dynamic and evolving industry landscape.
</p>
</br>

<h5><b>Job Responsibilities</b></h5>
<ol>
  <li>Design, develop, and deploy AI models and algorithms to solve complex business problems across diverse domains.</li>
  <li>Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and deliver AI-driven solutions.</li>
  <li>Optimize AI models for performance, scalability, and accuracy, ensuring they meet business objectives.</li>
  <li>Implement and maintain machine learning pipelines, ensuring seamless integration with existing systems.</li>
  <li>Conduct thorough testing and debugging of AI models to ensure reliability and robustness.</li>
  <li>Stay updated with the latest advancements in AI and machine learning technologies and apply them to enhance existing solutions.</li>
  <li>Document AI models, processes, and workflows to ensure transparency and reproducibility.</li>
  <li>Demonstrate strong problem-solving skills and the ability to work independently on complex tasks.</li>
  <li>Exhibit excellent communication skills to effectively convey technical concepts to non-technical stakeholders.</li>
  <li>Foster a collaborative team environment and mentor junior team members as needed.</li>
</ol>
</br>

<h5><b>Skills & Knowledge</b></h5>

<b>Mandatory Skills</b>
<ol>
  <li><b>Python:</b>
    <ul>
      <li>Advanced Python programming, including object-oriented programming (OOP).</li>
      <li>Data manipulation with Pandas and data visualization with Matplotlib and Seaborn.</li>
      <li>Proficiency in Python libraries for AI/ML (NumPy, SciPy, Scikit-learn).</li>
      <li>Experience with Python debugging and testing frameworks (Pytest, Unittest).</li>
      <li>Version control with Git and GitHub.</li>
    </ul>
  </li>
  <li><b>Artificial Intelligence:</b>
    <ul>
      <li>Neural network design and implementation.</li>
      <li>Natural Language Processing (NLP) techniques and computer vision algorithms.</li>
      <li>AI model evaluation, tuning, and deployment strategies.</li>
      <li>Knowledge of AI frameworks (Keras, OpenAI Gym) and AI ethics.</li>
    </ul>
  </li>
  <li><b>TensorFlow:</b>
    <ul>
      <li>Building and training deep learning models using TensorFlow Keras API.</li>
      <li>Experience with TensorFlow Lite for mobile deployment and TensorFlow Extended (TFX) for production pipelines.</li>
      <li>Proficiency in TensorFlow debugging tools (TensorBoard).</li>
    </ul>
  </li>
  <li><b>PyTorch:</b>
    <ul>
      <li>Building neural networks and transfer learning with PyTorch.</li>
      <li>Experience with PyTorch Lightning for scalable training and PyTorch autograd for automatic differentiation.</li>
      <li>Model optimization and visualization using PyTorch tools.</li>
    </ul>
  </li>
</ol>
</br>

<b>Good to Have Skills</b>
<ol>
  <li><b>Machine Learning:</b>
    <ul>
      <li>Supervised and unsupervised learning algorithms.</li>
      <li>Feature engineering, model evaluation metrics, and hyperparameter tuning.</li>
      <li>Experience with ML pipeline automation tools (MLflow, Kubeflow).</li>
    </ul>
  </li>
  <li><b>Docker:</b>
    <ul>
      <li>Containerization of AI/ML applications and writing Dockerfiles for custom environments.</li>
      <li>Integration of Docker with CI/CD pipelines.</li>
    </ul>
  </li>
  <li><b>AWS:</b>
    <ul>
      <li>Experience with AWS SageMaker for ML model training and deployment.</li>
      <li>Proficiency in AWS EC2, S3, and Lambda for serverless AI functions.</li>
    </ul>
  </li>
</ol>
</br>

<h5><b>Career Roadmap</b></h5>

<b>0 to 1 Year:</b>
<p>During the first year, the AI Engineer is expected to establish expertise in AI model development and deployment while delivering high-quality solutions aligned with business objectives.</p>
<b>Key Responsibilities and KRAs:</b>
<ol>
  <li>Develop and deploy AI models to address specific business challenges.</li>
  <li>Collaborate with cross-functional teams to understand requirements and deliver solutions.</li>
  <li>Document workflows and processes for transparency and reproducibility.</li>
</ol>
<b>Success Indicator:</b>
<ol>
  <li>Successful deployment of AI models with measurable business impact.</li>
  <li>Positive feedback from stakeholders on deliverables and collaboration.</li>
</ol>
</br>

<b>1 to 2 Years:</b>
<p>In the second year, the AI Engineer is expected to take on a lead role, driving innovation and mentoring junior team members.</p>
<b>Key Responsibilities and KRAs:</b>
<ol>
  <li>Lead the development of scalable AI solutions and optimize existing models.</li>
  <li>Mentor junior team members and foster a collaborative team environment.</li>
  <li>Contribute to the adoption of new AI technologies and frameworks.</li>
</ol>
<b>Success Indicator:</b>
<ol>
  <li>Demonstrated leadership in executing complex projects.</li>
  <li>Recognition as a key contributor to the team’s success.</li>
</ol>
</br>

<b>2 Years and Above:</b>
<p>By the third year, the AI Engineer is expected to evolve into a strategic leader, influencing organizational strategy and preparing for a senior role.</p>
<b>Key Responsibilities and KRAs:</b>
<ol>
  <li>Drive the strategic planning and execution of AI initiatives.</li>
  <li>Lead enterprise-wide AI projects with measurable business outcomes.</li>
  <li>Act as a thought leader, representing the organization in industry forums.</li>
</ol>
<b>Success Indicator:</b>
<ol>
  <li>Proven ability to influence business strategy through AI-driven solutions.</li>
  <li>Successful transition to a senior leadership role.</li>
</ol>
</br>

<h5><b>Experience</b></h5>
<ol>
  <li><b>Years of Experience:</b> 4 to 6 years of relevant experience in AI/ML development and deployment.</li>
  <li><b>Education Qualification:</b> Minimum qualification of BTech in Computer Science, Information Technology, or a related field.</li>
</ol>
</br>

<p style="font-size: 0.8rem; color: gray;">
<b>Equal Opportunity Employer Statement:</b> We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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