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Kanerika Software - Lead AI / ML Engineer

Kanerika Software - Lead AI / ML Engineer

KANERIKA SOFTWARE PRIVATE LIMITEDIndore
28 days ago
Job description

Position : Lead AI / ML Engineer

What You Will Do :

You will play a key role in designing, developing, and deploying advanced AI / ML and GenAI-based solutions to solve real-world business problems. Your responsibilities will include but are not limited to :

  • Lead end-to-end development of AI / ML models including data preprocessing, model training, evaluation, and deployment.
  • Architect and implement scalable ML pipelines using tools like MLflow, Kubeflow, or Azure ML.
  • Design and develop solutions leveraging Generative AI, LLMs (OpenAI, Azure OpenAI, Hugging Face, etc.), and prompt engineering techniques.
  • Collaborate with data engineers, product managers, and business teams to understand requirements and translate them into AI-driven solutions.
  • Optimize models for performance, scalability, and business impact using MLOps practices.
  • Work on NLP, computer vision, and predictive analytics use cases depending on the project need.
  • Stay current with the latest research and advancements in AI / ML and implement relevant innovations into ongoing projects.
  • Mentor junior engineers and lead code reviews, architecture decisions, and model governance practices.
  • Ensure compliance with data governance, security, and ethical AI standards.
  • Document models, pipelines, and workflows for maintainability and reusability.

Required Qualifications :

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • 6+ years of experience in building and deploying ML / AI solutions in production environments.
  • Strong expertise in Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, etc.
  • Experience with Generative AI and LLMs (OpenAI, Azure OpenAI, LangChain, Hugging Face Transformers, etc.).
  • Proficiency in deploying models using MLOps tools (MLflow, Azure ML, SageMaker, or similar).
  • Solid understanding of data structures, algorithms, and ML fundamentals.
  • Experience with cloud platforms (Azure preferred; AWS / GCP is a plus).
  • Strong SQL and data wrangling skills.
  • Experience in NLP, computer vision, or time-series forecasting is a strong plus.
  • Excellent communication and leadership skills with the ability to guide teams and present to stakeholders.
  • ref : hirist.tech)

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