Machine Learning Operations Specialist

2 months ago


mumbai, India Accelya Full time

Job Summary:
The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex problems and improve our products and services. The ideal candidate will have a solid foundation in machine learning principles, hands-on experience with various ML frameworks, and a strong ability to translate business requirements into scalable ML solutions.

Key Responsibilities for an MLOps Role:
Model Deployment and Integration:

Deploy machine learning models into production environments and ensure seamless integration with existing systems.
Collaborate with software engineers to automate and streamline the deployment pipeline for ML models.

2.Model Monitoring and Maintenance:
Continuously monitor the performance of machine learning models in production to ensure they are functioning correctly.
Set up alerts for performance degradation, model drift, and other anomalies.
Regularly update models with new data, retraining, and redeployment as necessary.

3.Automation and CI/CD Pipelines:
Build, optimize, and maintain continuous integration/continuous deployment (CI/CD) pipelines for ML workflows.
Automate processes such as model versioning, testing, and deployment.

4.Infrastructure Management:
Design, configure, and maintain the infrastructure needed for scalable ML model training and inference (cloud services, on-premise hardware, Kubernetes, Docker, etc.).
Ensure the infrastructure can handle large datasets, compute-intensive tasks, and high availability.

5.Collaboration with Data Science and Engineering Teams:
Work closely with data scientists to understand the model's requirements and improve model performance.
Ensure the reproducibility of models across different environments by supporting containerization and version control.

6.Data Pipeline Management:
Design and maintain data pipelines for continuous flow of training and testing data into the machine learning lifecycle.
Ensure data quality, security, and privacy compliance (e.g., GDPR, HIPAA).

7.Version Control and Model Governance:
Implement model versioning and ensure traceability of models, datasets, and training experiments.
Work within frameworks for model governance, ensuring transparency, auditing, and compliance for deployed models.

8.Performance Optimization:
Optimize the performance of machine learning models by tuning hyperparameters, adjusting infrastructure, and resolving performance bottlenecks.
Ensure efficient resource usage for both model training and inference (e.g., cost optimization for cloud infrastructure).

9.Security and Compliance:
Ensure security of ML models, training data, and inference data.
Implement measures to prevent adversarial attacks and ensure the models meet necessary regulatory standards.

Key Skills for an MLOps Role:

1. Technical Skills:
Machine Learning & Deep Learning: Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn) and deployment challenges.
Cloud Platforms: Proficiency with cloud services (AWS, Azure, GCP) for deploying and managing ML workloads.
Containerization and Orchestration: Experience with Docker, Kubernetes, and related technologies for containerizing and orchestrating ML workflows.
DevOps Practices: Knowledge of CI/CD tools like Jenkins, GitLab CI, or CircleCI for automating ML pipelines.
Model Management Tools: Familiarity with MLflow, DVC (Data Version Control), or similar tools for managing models and experiments.
Data Engineering: Strong experience in designing and optimizing data pipelines (using tools like Apache Kafka, Apache Spark, or Airflow).
Version Control: Proficient in Git for managing code and ML model versioning.
Programming Languages: Expertise in Python and other languages used in ML and familiarity with scripting languages like Bash.

2. Soft Skills:
Problem-Solving: Strong troubleshooting and problem-solving abilities, particularly in the context of productionizing machine learning models.
Collaboration: Ability to work effectively with cross-functional teams (data science, software engineering, IT).
Communication: Strong written and verbal communication skills to articulate technical concepts to non-technical stakeholders.
Project Management: Ability to prioritize tasks, manage timelines, and balance multiple responsibilities in an agile environment.

3. Understanding of Best Practices:
Model Lifecycle Management: Knowledge of the full ML model lifecycle from development, testing, deployment, to monitoring.
Security Best Practices: Awareness of security considerations when deploying models (e.g., data encryption, access control).
Scalability and Performance Tuning: Expertise in optimizing models and infrastructure for scalability, reliability, and cost-efficiency.
Compliance and Ethical Considerations: Knowledge of privacy laws, ethical AI guidelines, and best practices for AI governance.

4. Additional Knowledge (Desirable):
Automation/Infrastructure as Code (IaC): Familiarity with tools like Terraform or Ansible for automating infrastructure setup.
Serverless Computing: Understanding of serverless architectures for ML workloads (e.g., AWS Lambda, Google Cloud Functions).
Data Privacy & Security Regulations: Experience with GDPR, HIPAA, and other relevant data protection regulations.
AI/ML Governance: Familiarity with AI/ML governance tools to track model performance, fairness, and interpretability.



  • Mumbai, Maharashtra, India Accelya Full time

    About the RoleWe are seeking an experienced Machine Learning Operations Specialist to join our team at Accelya. As a key member of our data science team, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex problems and improve our products and services.


  • Mumbai, Maharashtra, India Accelya Full time

    At Accelya, we're seeking an experienced Machine Learning Operations Specialist to join our team.About the RoleThis is a critical position that requires a strong understanding of machine learning principles, hands-on experience with various ML frameworks, and a proven ability to translate business requirements into scalable ML solutions.The ideal candidate...


  • Mumbai, Maharashtra, India Cloud Counselage Pvt Ltd Full time

    Cloud Counselage Pvt Ltd is seeking a highly skilled Senior Machine Learning Specialist to join our team. This role offers an excellent opportunity to grow your skills in a collaborative environment while contributing to cutting-edge projects.About the RoleWe are looking for a talented machine learning engineer with a strong background in developing,...


  • Mumbai, Maharashtra, India Accelya Full time

    Job Title: Machine Learning Operations EngineerWe are seeking a highly skilled Machine Learning Operations Engineer to join our team at Accelya. As an MLOps Engineer, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex problems and improve our products and services.About the Role:Design,...


  • Mumbai, India Accelya Full time

    Job Summary:The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex problems and improve our products and services. The ideal candidate will have a solid foundation in machine learning principles, hands-on experience with various ML frameworks, and a strong ability to...


  • Mumbai, India Accelya Full time

    Job Summary:The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex problems and improve our products and services. The ideal candidate will have a solid foundation in machine learning principles, hands-on experience with various ML frameworks, and a strong ability to...


  • mumbai, India Accelya Full time

    Job Summary:The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex problems and improve our products and services. The ideal candidate will have a solid foundation in machine learning principles, hands-on experience with various ML frameworks, and a strong ability to...


  • Mumbai, Maharashtra, India Accelya Full time

    Job SummaryThe Machine Learning Operations Specialist will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex problems and improve our products and services.Key Responsibilities:Model Deployment and Integration:Deploy machine learning models into production environments and ensure seamless...


  • Mumbai, India Accelya Full time

    Job Summary:The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex problems and improve our products and services. The ideal candidate will have a solid foundation in machine learning principles, hands-on experience with various ML frameworks, and a strong ability to...


  • Mumbai, India Accelya Full time

    Job Summary:The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex problems and improve our products and services. The ideal candidate will have a solid foundation in machine learning principles, hands-on experience with various ML frameworks, and a strong ability to...


  • Mumbai, India Northstarz.Ai (Formerly InterviewGuru) Full time

    We are a team of innovative specialists from diverse business backgrounds, dedicated to revolutionizing the hiring process. Our AI recruitment platform, Interview Guru, works tirelessly to provide you with a faster, unbiased, and cost-effective hiring solution. It accelerates your hiring process by 3X, reduces recruitment costs by 70%, and ensures no...


  • Mumbai, India Northstarz.Ai (Formerly InterviewGuru) Full time

    We are a team of innovative specialists from diverse business backgrounds, dedicated to revolutionizing the hiring process. Our AI recruitment platform, Interview Guru, works tirelessly to provide you with a faster, unbiased, and cost-effective hiring solution. It accelerates your hiring process by 3X, reduces recruitment costs by 70%, and ensures no...


  • Mumbai, India Northstarz.Ai (Formerly InterviewGuru) Full time

    We are a team of innovative specialists from diverse business backgrounds, dedicated to revolutionizing the hiring process. Our AI recruitment platform, Interview Guru, works tirelessly to provide you with a faster, unbiased, and cost-effective hiring solution. It accelerates your hiring process by 3X, reduces recruitment costs by 70%, and ensures no...


  • Mumbai, India Northstarz.Ai (Formerly InterviewGuru) Full time

    We are a team of innovative specialists from diverse business backgrounds, dedicated to revolutionizing the hiring process. Our AI recruitment platform, Interview Guru, works tirelessly to provide you with a faster, unbiased, and cost-effective hiring solution. It accelerates your hiring process by 3X, reduces recruitment costs by 70%, and ensures no...


  • Mumbai, Maharashtra, India Accelya Full time

    We are seeking a highly skilled Machine Learning Operations Engineer to join our team at Accelya. In this role, you will play a crucial part in designing, developing, and deploying machine learning models and algorithms to solve complex problems and improve our products and services.About the RoleWe are looking for an experienced professional with a solid...


  • Mumbai, Maharashtra, India L&T Financial Services Full time

    Job Overview:L&T Finance is seeking an experienced Senior AI Scientist to join our high-performance advanced predictive and generative AI team operating out of Bangalore and Mumbai. As a key member of our team, you will contribute to bringing cutting-edge AI technologies to sharpen and grow the lending businesses of L&T Finance.Responsibilities:Develop and...


  • Mumbai, Maharashtra, India Accelya Full time

    Job SummaryThe Machine Learning Operations Engineer will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex problems and improve our products and services. The ideal candidate will have a solid foundation in machine learning principles, hands-on experience with various ML frameworks, and a strong...


  • Mumbai, Maharashtra, India Accelya Full time

    At Accelya, we are seeking an experienced Machine Learning Operations Engineer to join our team. This is a full-time position that offers a competitive salary of $140,000 - $170,000 per year.Job DescriptionThe successful candidate will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex problems and...


  • Mumbai, Maharashtra, India Northstarz (Formerly InterviewGuru) Full time

    We are a team of innovative specialists from diverse business backgrounds, dedicated to revolutionizing the hiring process. Our AI recruitment platform works tirelessly to provide you with a faster, unbiased, and cost-effective hiring solution.Job OverviewAs a Machine Learning Engineer at Northstarz (Formerly InterviewGuru), you will be responsible for...


  • Mumbai, Maharashtra, India Cloud Counselage Pvt Ltd Full time

    Job Title: Machine Learning Engineer - Data Insights Specialist Company Overview:Cloud Counselage Pvt Ltd is a dynamic company that values innovation and collaboration. Salary:$90,000 - $110,000 per annum based on experience Job Description:We are seeking a Junior Machine Learning Engineer to join our team. The ideal candidate will assist in developing,...