Ai Ml Engineer

7 days ago

Hyderabad, Telangana, India Teliolabs Communication Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Summary

We are seeking an experienced and self-driven AI/ML Consultant Engineer with a minimum of 6 years of experience. The ideal candidate will possess deep technical expertise in machine learning, data analysis, and scalable solution development, along with a sound understanding of engineering and AI ethics. This role requires the ability to analyze complex application architectures, design effective AI solutions, and take full ownership of implementation with a focus on quality, performance, and maintainability.

Key Responsibilities

  • Fully understand existing application structures, data flows, and functionality to propose scalable AI solutions.
  • Design, develop, and optimize machine learning and deep learning models.
  • Conduct thorough data analysis, EDA, and data preprocessing.
  • Build, train, and validate ML models focusing on scalability, performance, and iterative improvement.
  • Deploy models into production and ensure performance tuning, monitoring, and maintainability.
  • Design automation workflows and integrate intelligent systems for real-world application.
  • Implement robust model validation, testing, and explainability for black-box models.
  • Ensure documentation, version control, and compliance with engineering and AI best practices.
  • Stay current with emerging trends in AI/ML, frameworks, and tools.
  • Implement security measures and uphold AI/Robotics/Engineering ethics.
  • Collaborate with cross-functional teams and clearly communicate with both technical and non-technical stakeholders.
  • Mentor junior team members and contribute to a high-performance work culture.
  • Take ownership and accountability to deliver high-quality work within defined timelines.

Required Technical Skills

AI/ML Techniques:

  • Exploratory Data Analysis (EDA), Data Visualization
  • Regression, Classification, Clustering, Forecasting
  • Anomaly Detection, Statistical Modeling, NLP
  • Deep Learning (DNN, CNN, LSTM, GCN)
  • Neural Network Optimization and Iterative Learning

Tools & Frameworks:

  • Python Libraries: Scikit-learn, PyTorch, TensorFlow, Keras, Pandas, NumPy
  • Tools: Docker, Flask, Git, JIRA
  • IDEs: PyCharm, Eclipse

Core Competencies

  • Ethics & Responsibility: Strong understanding of AI, Robotics, and Engineering ethics. Committed to responsible AI practices and secure, ethical data usage.
  • LLM/SLM Experience: Desired experience with large language models (LLMs) and small language models (SLMs); prior hands-on development using commercial LLMs (e.g., OpenAI, Anthropic, Cohere, etc.) is a strong plus.
  • Problem Solving: Demonstrated ability to analyze complex systems, interpret black-box models, and deliver robust solutions.
  • Ownership & Initiative: Self-starter with a proactive mindset, high accountability, and a strong sense of ownership.
  • Quality Focused: Dedicated to writing clean, maintainable, and well-documented code with a focus on performance, scalability, and long-term usability.
  • Communication: Clear and effective communicator, capable of explaining complex technical concepts to non-technical stakeholders.
  • Collaboration: Team-oriented with experience in cross-functional environments, capable of driving consensus and shared outcomes.
  • Mentorship: Passionate about team development; willing and able to guide junior members and build team capabilities.
  • Time & Capacity Management: Highly organized, skilled at managing multiple priorities and meeting deadlines effectively.

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