Posted:5 days ago| Platform:
On-site
Full Time
Job Title: Technology Analyst Experience: 4+ Years Job Level: JL4A Location: Bangalore / Pune Salary: Up to ₹20 LPA Type: Full-Time Job Summary We are seeking a skilled Technology Analyst with strong hands-on experience in Generative AI and Machine Learning (ML) to join our dynamic team. The ideal candidate will be responsible for driving innovation through AI-based solutions, model development, and implementation across projects. Mandatory Skills 4+ years of experience in AI/ML development and deployment Hands-on experience with Generative AI frameworks (e.g., GPT, BERT, LLaMA) Strong Python programming with libraries such as TensorFlow, PyTorch, Hugging Face Practical experience building and fine-tuning ML/DL models Experience in prompt engineering and working with LLMs (Large Language Models) Primary Skills Strong understanding of NLP, computer vision, or recommendation systems Model training, evaluation, tuning, and deployment Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI Experience in building APIs to serve AI/ML models Data preprocessing and feature engineering techniques Cloud exposure (AWS/GCP/Azure) for AI model deployment Secondary Skills Familiarity with containerization (Docker, Kubernetes) Experience with CI/CD pipelines Basic understanding of front-end integration of AI models (e.g., through REST APIs) Exposure to Data Engineering or BI tools is a plus Knowledge of Data Privacy, Model Explainability, and Ethical AI principles Good To Have Published research papers or contributions to open-source AI/ML projects Certification in AI/ML or Gen AI technologies Role Expectations Collaborate with cross-functional teams to define AI solutions Develop, test, and deploy Gen AI models in production Ensure scalability, accuracy, and performance of AI solutions Provide guidance and mentorship to junior developers when needed Skills: generative ai,llms,tensorflow,nlp,mlops,feature engineering,vertex ai,pytorch,tensor flow,pytouch,apis,data preprocessing,computer vision,technology,ai/ml,mlflow,recommendation systems,kubernetes,docker,kubeflow,aws,python,azure,gcp,machine learning,hugging face,ci/cd Show more Show less
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