Data Science and Analytics (DSA)

ML Ops Engineer

Pune, Maharashtra
Work Type: Full Time

vConstruct, a Pune based international engineering and construction services firm seeks a Data

Science Developer for their Data Science and Analytics team which is a tight-knit group of

analysts and engineers that support all data aspects of DPR business.

Essential Functions and Responsibilities 

  • Develop and maintain scalable ML infrastructure and tools to support the deployment, monitoring, and management of ML models in production.
  • Collaborate with data scientists and software engineers to design, implement, and optimize ML workflows and pipelines.
  • Automate and streamline ML processes, including model training, evaluation, deployment, and monitoring.
  • Innovative mindset to create high performing deployment pipelines based on usecases.
  • Implement CI/CD (Continuous Integration/Continuous Deployment) practices for ML systems, ensuring smooth and reliable deployments.
  • Monitor and troubleshoot ML systems to identify and resolve performance issues, bottlenecks, and failures.
  • Design and implement robust data pipelines for data ingestion, preprocessing, and feature engineering to support ML training and inference.
  • Ensure data integrity, security, and compliance in ML systems, adhering to relevant regulations and best practices.
  • Stay up to date with the latest advancements in ML Ops, DevOps, and cloud technologies, and propose innovative solutions to enhance our ML infrastructure.
  • Collaborate with cross-functional teams to define and enforce ML Ops best practices, standards, and guidelines.

Skills and Qualifications 

  • Bachelor's or Master's degree in computer science, data science, or a related field.
  • Proven experience in ML Ops, DevOps, or related roles, with a focus on deploying and operating ML models in production.
  • Experience with machine learning frameworks and techniques, including model training, evaluation, and optimization.
  • Knowledge of big data processing technologies (e.g., Apache Spark) and distributed computing concepts.
  • Understanding of security and privacy considerations in ML systems, including data anonymization and encryption.
  • Familiarity with AIOps (Artificial Intelligence for IT Operations) and monitoring tools for ML systems.

Technical Skills 

  • Strong programming skills in languages such as Python, and proficiency in using ML frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Experience with containerization technologies (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, Azure, GCP).
  • Solid understanding of DevOps principles, CI/CD practices, and automation tools (e.g., Jenkins, GitLab CI/CD).
  • Familiarity with version control systems (e.g., Git) and infrastructure-as-code frameworks (e.g., Terraform).
  • Knowledge of data management and storage technologies (e.g., SQL, NoSQL, Apache Kafka).
  • Strong problem-solving skills and the ability to analyze and resolve complex technical issues in ML systems.
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
  • Experience with machine learning frameworks and techniques, including model training, evaluation, and optimization.


  • Ability to multi-task
  • Ability to work in a collaborative team environment
  • Strong communication (oral and written) and interpersonal skills required to interact with colleagues and internal customers.
  • Excellent at troubleshooting issues
  • Ability to develop productive business relationships with internal team members through cooperation, courtesy and professionalism
  • Ability to play an integral part in project delivery given tight constraints and uncompromising quality
  • Motivated to identify and develop solutions leveraging best practices
  • Capable of explaining complex technical issues to clients and internal resources



  • Bachelor’s or Master’s degree in Computer Science /Information technology or related field.


  • Bachelor’s or Master’s degree in Construction with industry recognized course/ certification in Data Science



About vConstruct: 

vConstruct is a wholly owned subsidiary of DPR Construction and specializes in providing high

quality Building Information Modeling and Construction Technology services geared towards

construction projects. vConstruct presently constitutes of five business units: 1. Virtual

designing and construction 2. Project Control Management 3. Software Development 4.

Accounting Services for Projects and 5. Data Science and Analytics

Core Values of vConstruct are:

• Integrity is Integral

• People are Pivotal

• Ever Forward Spirit

About DPR Construction:

DPR Construction is a national commercial general contractor and construction manager

specializing in technically challenging and sustainable projects for the advanced technology,

biopharmaceutical, corporate office, and higher education and healthcare markets. With the

purpose of building great things—great teams, great buildings, great relationships—DPR is a

truly great company. For more information, please visit

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