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AI / ML Engineer

AI / ML Engineer

Growel Softech Pvt. Ltd.Bangalore
20 days ago
Job description

About the Role :

We are seeking a highly skilled AI / ML Engineer with hands-on expertise in Generative AI, Deep Learning, LLMs, NLP, and modern cloud technologies. The ideal candidate will have a proven track record of transforming POCs into production-grade AI solutions and driving impactful business outcomes.

Key Responsibilities :

  • Design, develop, and deploy advanced AI / ML solutions, with a focus on GenAI, Deep Learning, LLMs, and NLP.
  • Build, train, and optimize ML models using TensorFlow, PyTorch, or other leading frameworks.
  • Develop data pipelines and workflows for preprocessing, feature engineering, and model evaluation.
  • Work closely with cross-functional teams to translate business problems into AI-driven solutions.
  • Manage end-to-end model lifecycle from experimentation to deployment and monitoring in production.
  • Leverage cloud platforms (AWS / Azure / GCP) for scalable AI development, including tools like EC2, ASG, S3, and RDS.
  • Implement best practices for version control, code review, and model governance.
  • Create clear technical documentation and communicate results to technical and non-technical stakeholders.

Requirements / Qualifications :

  • 3+ years of relevant experience in AI / ML development.
  • Programming : Proficiency in Python, Java, or similar. AI / ML Expertise : Strong hands-on experience with GenAI, Deep Learning, LLMs, and NLP.
  • Frameworks : TensorFlow, PyTorch, scikit-learn.
  • Data Handling : Pandas, NumPy for data manipulation; Matplotlib, Seaborn for visualization.
  • Cloud Platforms : Experience with AWS, Azure, or Google Cloud.
  • Databases : Proficiency in SQL / NoSQL systems.
  • Version Control : Git.
  • Demonstrated success in transforming at least 3 POCs into production-grade solutions.
  • Strong portfolio showcasing end-to-end AI / ML deployments.
  • Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
  • Excellent problem-solving abilities with a collaborative, agile mindset.
  • Strong communication skills to work effectively across teams.
  • Nice to Have :

  • Advanced knowledge of cloud tools such as EC2, ASG, S3, RDS for scalable AI development.
  • Exposure to MLOps practices and CI / CD pipelines for model deployment.
  • Experience with containerization (Docker, Kubernetes).
  • (ref : hirist.tech)

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