Job Description: We are seeking an experienced AI/ML Engineer to design, develop, and deploy scalable machine learning and AI solutions across our digital ecosystem. The ideal candidate will collaborate with data scientists, engineers, and domain experts to transform large datasets into actionable insights and AI-driven applications that enhance research and operational efficiency. Key Responsibilities: Design, develop, train, and deploy machine learning (ML) and deep learning (DL) models for life sciences and manufacturing use cases. Collaborate with cross-functional teams to identify opportunities for AI/ML-driven automation and optimization. Implement end-to-end ML pipelines – from data ingestion and feature engineering to model training, validation, and deployment. Work with big data platforms (Databricks, Snowflake, AWS Sagemaker, Azure ML, etc.) to manage and process large-scale datasets. Develop NLP, computer vision, or predictive analytics models for applications in research, digital labs, and customer analytics. Collaborate with software engineering teams to productionize and integrate AI models into enterprise applications. Conduct performance tuning, model monitoring, and continuous retraining as needed. Stay updated with emerging trends in AI/ML technologies and tools. Required Skills and Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. Proficiency in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, XGBoost, or LightGBM. Strong understanding of data structures, algorithms, and statistics. Experience with cloud-based ML platforms – AWS SageMaker, Azure ML, or GCP Vertex AI. Hands-on experience in MLOps – model versioning, CI/CD, and monitoring using tools like MLflow, Kubeflow, or Airflow. Exposure to NLP, computer vision, or time-series forecasting techniques. Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications: Experience in Life Sciences / Healthcare / Pharma / Biotech domains. Familiarity with data engineering tools like Databricks, Apache Spark, or Snowflake. Knowledge of GenAI and LLM fine-tuning (e.g., OpenAI, Hugging Face, LangChain). Experience deploying models as REST APIs or microservices using Flask/FastAPI. Understanding of data governance, model ethics, and regulatory compliance in AI applications. Work on impactful projects driving innovation in healthcare and life sciences. Collaborate with global teams across R&D, engineering, and data science. Access to cutting-edge AI/ML platforms and technology ecosystem. Inclusive, diverse, and innovation-driven culture.

About Quickhyre AI

QuickHyre AI is an online job portal and HRMS software platform for hiring and workforce management, trusted by over 10 million active users. It connects freshers and experienced professionals across all career levels with verified job opportunities, while enabling companies to hire, onboard, and manage employees through a single system. Candidates use QuickHyre AI to search and apply for jobs across entry-level, mid-level, and senior roles, including internships and contract positions across tech and non-tech domains. Employers use QuickHyre AI as a hiring platform, applicant tracking system (ATS), and HRMS to post jobs, screen candidates, manage applications, onboard hires, and maintain employee records. Built for startups, growing companies, and enterprises, QuickHyre AI reduces irrelevant applications, improves hiring efficiency, and simplifies HR operations. By combining job discovery, online recruitment, and HR management software, QuickHyre AI supports end-to-end talent acquisition and workforce administration at scale.