Urgent! AI/ML Engineer Job Opening In Vadodara – Now Hiring Hexpress Healthcare Softech Private Limited
Job Description Job Description: We are seeking a highly motivated and experienced AL/ML Engineer to join our team. Production Deployment & Scaling: Refactor and optimise Data Science prototypes for performance and efficiency. Containerise models using Docker and deploy them onto a scalable infrastructure, such as Kubernetes. Design and build low-latency APIs to serve model predictions in real-time. MLOps Pipeline Automation: Implement CI/CD/CT pipelines to automate model training, testing, and deployment processes. Utilise orchestration tools like Airflow or Kubeflow to manage and schedule complex ML workflows. Advanced AI Focus: Work with specialised models (e.g., LLMs) on tasks such as fine-tuning and prompt engineering. Contribute to ensuring the ethical and compliant use of AI systems, particularly in relation to data privacy and bias. System Monitoring & Maintenance: Set up robust monitoring for model performance, data drift, and infrastructure health in production. Develop and manage automated processes for model retraining, versioning, and rollbacks. Software Engineering & Collaboration: Write high-quality, clean, modular Python code following professional software engineering standards. Collaborate closely with Data Scientists and Data Engineers to ensure seamless data flow and feature availability for model B.E./ B.Tech./ M.E./ M.Tech./ MCA/M.Sc.IT or related field 2–4 years of professional experience in AI/ML Engineering, Software Engineering with ML focus, or related role. Proven experience deploying and managing ML models in a production environment. High proficiency in Python and experience writing production-grade, object-oriented code. Practical experience with popular ML/DL libraries like TensorFlow, PyTorch, or Scikit-learn. Strong knowledge of SQL and experience with big data technologies (Spark/PySpark, Hadoop) for data manipulation and feature extraction. Experience with essential MLOps tools, including Docker (containerisation) and orchestration tools like Airflow or Kubeflow. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) for deploying ML services. Familiarity with version control best practices (e.g., Git). Strong analytical and problem-solving skills Excellent communication and interpersonal skills Nice to Have Skills Experience with Kubernetes for model serving and scaling. Familiarity with other languages like Java or C++ for performance optimisation. Knowledge of specific ML domains (e.g., NLP, Recommender Systems). Experience with Agile methodologies
You will be responsible for transforming Data Science prototypes into production-ready applications, building scalable MLOps pipelines, and maintaining deployed models.
This role requires a strong background in software engineering, cloud infrastructure, and practical experience with the full ML lifecycle.
Key Responsibilities:Requirements
Benefits
Requirements
Production Deployment & Scaling: Refactor and optimise Data Science prototypes for performance and efficiency.
Containerise models using Docker and deploy them onto a scalable infrastructure, such as Kubernetes.
Design and build low-latency APIs to serve model predictions in real-time.
MLOps Pipeline Automation: Implement CI/CD/CT pipelines to automate model training, testing, and deployment processes.
Utilise orchestration tools like Airflow or Kubeflow to manage and schedule complex ML workflows.
Advanced AI Focus: Work with specialised models (e.g., LLMs) on tasks such as fine-tuning and prompt engineering.
Contribute to ensuring the ethical and compliant use of AI systems, particularly in relation to data privacy and bias.
System Monitoring & Maintenance: Set up robust monitoring for model performance, data drift, and infrastructure health in production.
Develop and manage automated processes for model retraining, versioning, and rollbacks.
Software Engineering & Collaboration: Write high-quality, clean, modular Python code following professional software engineering standards.
Collaborate closely with Data Scientists and Data Engineers to ensure seamless data flow and feature availability for models.
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Unlock Your AI ML Potential: Insight & Career Growth Guide
Real-time AI ML Jobs Trends in Vadodara, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for AI ML in Vadodara, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 116005 jobs in India and 756 jobs in Vadodara. This comprehensive analysis highlights market share and opportunities for professionals in AI ML roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Hexpress Healthcare Softech Private Limited is currently hiring and seeking a AI/ML Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: AI/ML Engineer Jobs Vadodara.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Hexpress Healthcare Softech Private Limited adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a AI/ML Engineer Jobs India varies, but the pay scale is rated "Standard" in Vadodara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for AI/ML Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your AI/ML Engineer interview at Hexpress Healthcare Softech Private Limited, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Hexpress Healthcare Softech Private Limited's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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