Q U A N T U M

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Quantumedge Software Inc. helps agency and SaaS business owners secure top-tier software developers, UI/UX designers, graphic designers and video editors delivering significant cost savings compared to U.S. hiring expenses.

Job Summary:

QuantumEdge Software INC is looking for a talented and motivated AI Engineer to join our dynamic team. As an AI/ML Engineer, you will be responsible for designing, developing, and deploying cutting-edge AI-driven solutions to solve complex business problems. Collaborating with cross-functional teams, you'll work to build scalable, efficient, and innovative AI models and systems that drive success for our clients.

Key Responsibilities:
  • •Identify and advocate for innovative AI and GenAI use cases within MyproWorker.
  • •Develop custom AI applications, models, and solutions in alignment with business objectives.
  • •Lead functional design, process design, prototyping, testing, training, and support procedures in collaboration with cross-functional teams.
  • •Spearhead chatbot and business automation flows, utilizing Microsoft technology stack, including MS •OpenAI, AI Search, Power Platform, and more.
  • •Evaluate and assess Large Language Models (LLMs) provided by leading industry players.
  • •Encourage prototyping and experimentation to drive digital transformation within our organization.
  • •Advise on and implement AI technologies to solve complex business challenges at QuantumEdge.
Requirements
  • •Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
  • •3–5 years of experience in AI/ML model development, deployment, and integration.
  • •Proficiency in programming languages such as Python, R, or Java, with expertise in frameworks like •TensorFlow, PyTorch, or Scikit-learn.
  • •Experience with cloud platforms (AWS, Azure, VPS) to deploy scalable AI solutions.
  • •Strong foundation in algorithms, data structures, and mathematical principles (linear algebra, statistics, optimization).
  • •Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • •Familiarity with MLOps tools (e.g., MLflow, Cubeflow, Airflow) and containerization technologies (Docker, Kubernetes).
  • •Expertise in areas like NLP (Natural Language Processing), computer vision, or reinforcement learning.
  • •Experience with big data technologies (Spark, Hadoop, Apache Kafka).
  • •Familiarity with DevOps and CI/CD pipelines for continuous delivery of AI solutions.
  • •Exceptional analytical, problem-solving, and debugging skills.
  • •Excellent communication and collaboration skills to work effectively in teams.
Basics & Benefits:
  • Market-competitive salary with comprehensive benefits package:
  • •Healthy and dynamic work culture
  • •Learning-friendly environment with continuous growth opportunities
  • •Collaborative and innovative team
  • Additional benefits:
  • •Performance bonuses and profit-sharing
  • •Medical Allowance
  • •Earned leave encashment
  • •Weekly Holidays: 02 Days
  • •Fully Subsidized Lunch & Snacks Facilities
  • •Annual Salary Reviews
  • •Festival Bonus: 2 times per year
  • •Generous leave policies (Earned Leave, Sick Leave, Casual Leave as per Labor Law)
  • •Maternity/Paternity Leave, Marriage Leave, Recreational Leave, and more
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