Job Title AI ML Developer Responsibilities Design and develop robust AI ML solutions tailored to industry verticals such as Banking Financial Services Insurance BFSI Energy Utilities EnU Life Sciences and Manufacturing Collaborate with cross-functional teams to gather business requirements and translate them into scalable machine learning architectures Lead the end-to-end lifecycle of ML projects-from data exploration and model development to deployment and monitoring-ensuring alignment with organizational standards and best practices Evaluate and select appropriate ML algorithms frameworks and tools to optimize model performance scalability and interpretability Conduct research on emerging ML techniques and technologies providing insights for continuous innovation and improvement Define and implement data governance model versioning and deployment strategies to ensure compliance reproducibility and ethical use of AI Mentor junior developers and data scientists fostering a team-oriented and innovative team culture Communicate technical solutions and project progress to stakeholders and leadership translating complex ML concepts into business-friendly language Must-Have Skills Bachelor s or Master s degree in Computer Science Data Science Artificial Intelligence or a related field 4 years of experience in AI ML development with a strong focus on solution design model development and deployment Proven experience building ML solutions across multiple verticals especially BFSI EnU Life Sciences and Manufacturing Strong proficiency in programming languages such as Python or R and hands-on experience with ML libraries like Scikit-learn XGBoost TensorFlow or PyTorch Solid understanding of supervised unsupervised and reinforcement learning algorithms Experience with cloud platforms AWS Azure GCP and their ML services e g SageMaker Azure ML Vertex AI Strong analytical and problem-solving skills with the ability to work in fast-paced environments Excellent communication skills to convey technical concepts to non-technical audiences Good-to-Have Skills Experience with big data technologies e g Spark Hadoop and data engineering workflows Familiarity with MLOps practices and tools for CI CD in ML pipelines e g MLflow Kubeflow Airflow Exposure to AI governance frameworks and responsible AI practices Prior experience in consulting or client-facing roles delivering ML solutions Advanced certifications in AI ML or cloud technologies e g AWS Certified ML Specialist Azure AI Engineer Associate

📌 Ai/ml Developer (Pune)
🏢 TalentOla
📍 Pune