Swati Tech is at the forefront of technological innovation and digital transformation. We specialize in Artificial Intelligence (AI), Machine Learning (ML), Blockchain, Cyber Security, and Surveillance technologies, delivering advanced solutions to businesses globally. We are seeking a passionate AI Engineer to join our team and develop cutting-edge AI-powered solutions. If you have a strong background in AI/ML technologies and are eager to work on innovative projects, we encourage you to apply!

Key Responsibilities:

  1. AI Solution Development:
    • Design, develop, and deploy machine learning and deep learning models to address specific business needs.
    • Tailor AI/ML solutions for maximum efficiency and effectiveness in production environments.
  2. Data Collection and Analysis:
    • Collect and preprocess structured and unstructured data, ensuring it’s prepared for model training and analysis.
    • Use advanced data processing tools and techniques to enhance the quality of data and models.
  3. Model Training and Optimization:
    • Train, fine-tune, and optimize AI models for better scalability, performance, and accuracy.
    • Leverage frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn for model development.
  4. AI System Integration:
    • Develop APIs and ensure smooth integration of AI models and solutions into existing systems and platforms.
    • Collaborate with teams to incorporate AI systems into wider business applications and processes.
  5. Collaboration & Communication:
    • Work closely with data engineers, product teams, and stakeholders to understand business requirements and translate them into AI solutions.
    • Share your insights with cross-functional teams to enhance the overall business development and tech initiatives.
  6. Research & Innovation:
    • Stay updated with the latest trends, tools, and advancements in AI, ML, and NLP, ensuring that Swati Tech remains on the cutting edge of technology.
    • Contribute innovative ideas to elevate AI/ML development practices.
  7. Performance Monitoring & Troubleshooting:
    • Continuously monitor the performance of deployed AI models.
    • Identify and resolve issues related to model efficiency, accuracy, and reliability.

Qualifications & Requirements:

Technical Skills:

  • Proficiency in programming languages such as Python, R, or Java.
  • Hands-on experience with AI frameworks and libraries including TensorFlow, PyTorch, Keras, and Scikit-learn.
  • Strong expertise in machine learning algorithms, deep learning architectures, and natural language processing (NLP).
  • Familiarity with data processing tools such as Pandas, NumPy, and OpenCV.
  • Experience deploying AI models in cloud environments like AWS, Azure, or Google Cloud Platform (GCP).
  • Knowledge of databases (SQL/NoSQL) and data visualization tools such as Tableau or Power BI.

Soft Skills:

  • Strong analytical and problem-solving abilities.
  • Excellent communication and teamwork skills, with a passion for collaboration.
  • Proactive and eager to learn new technologies and innovate.

Education:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Experience:

  • 2-3 years of hands-on experience in AI/ML development projects, with a proven ability to develop and deploy AI-driven solutions.

Preferred Qualifications:

  • Experience working on computer vision or natural language processing (NLP) projects.
  • Familiarity with MLOps and CI/CD pipelines for efficient development and deployment.
  • Certification in AI/ML or Data Science from recognized providers (e.g., Google ML Engineer, Microsoft Azure AI Engineer).

What We Offer:

  • Competitive Salary: Compensation aligned with industry standards based on experience and skills.
  • Professional Growth: Opportunities for career advancement, specialized training, and AI/ML certifications.
  • Innovative Environment: A collaborative and innovative workspace with a focus on cutting-edge AI technologies.
  • Health and Wellness: Comprehensive health benefits for employees.
  • Dynamic Culture: A stimulating work culture that fosters creativity, learning, and personal growth.

Application Instructions:

Interested candidates should submit their CV along with a cover letter to the email address provided by Email, or alternatively, apply through Swati Tech’s official website. Please make sure to include your relevant work experience, educational qualifications, and certifications in AI/ML.

Asad Hameed
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