Delivery Project Lead
Mphasis
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Job Description
Location: Offshore - Bangalore/Pune
Who Are We Looking For
We are seeking a skilled and motivated AI/ML Engineer with 8+ years of hands-on experience in building and deploying scalable machine learning solutions. The ideal candidate will have a deep understanding of the end-to-end ML lifecycle, MLOps practices, and cloud-native technologies. You will play a critical role in automating, scaling, and optimizing our clients' machine learning systems, and contribute to advancing MLOps maturity across the organization.
Key Responsibilities
- Automate the deployment, monitoring, and retraining machine learning models across various environments.
- Design, develop, and deploy scalable ML tools and services for training and inference tailored to client needs.
- Identify and evaluate emerging technologies to enhance the performance, scalability, and reliability of ML systems.
- Drive continuous improvement of MLOps pipelines, ensuring alignment with industry best practices.
- Troubleshoot issues throughout the ML lifecycle�from data preprocessing to model serving�within MLOps frameworks.
- Implement monitoring and detection mechanisms for data drift and model drift.
- Contribute to internal research initiatives and best practice frameworks to elevate organizational MLOps maturity.
- Prepare documentation and deliver presentations on MLOps tools, processes, and enhancements.
- Bachelor's or master's degree in computer science, Data Science, or a related field.
- Strong programming skills in Python with hands-on experience in ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Experience with ML workflow orchestration tools like MLflow or Kubeflow.
- Solid understanding of data architecture, data engineering, and data management practices.
- Familiarity with tools and processes used by data scientists, with experience in software development and test automation.
- Proven ability to design and implement MLOps pipelines in cloud environments such as AWS, Azure, or GCP.
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Strong analytical and problem-solving abilities to address complex system-level challenges.
- Excellent communication and interpersonal skills, with the ability to convey technical concepts to diverse stakeholders.
- Knowledge of additional languages like Java, C++, or Javascript is a plus.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- A portfolio showcasing AI/ML and NLP projects.
- General SDLC processes
- Understanding of utilizing Agile and Scrum software development methodologies
- Skill in gathering and documenting user requirements and writing technical specifications.
- Work closely with designers, Architects, data scientists, product managers, and other engineers to deliver comprehensive solutions.
- Strong problem-solving skills, with a creative approach to tackling complex challenges.
- Communicate effectively and share technical knowledge with the team.
- Be open to feedback and continuously learn and adapt to new technologies.
- Ability to work independently and as part of a team.
- Passion for learning and staying updated on the latest technologies.
- Good Attitude and Quick learner.
- Cloud development certification (Any of GCP, Azure or AWS)
- AI/ML certification
About The Company
Mphasis
A leading applied technology services company, we innovate to deliver service excellence and successful outcomes across sales, delivery and development. With our strategy to be agile, nimble and customer-centric, we anticipate the future of applied technology and predict tomorrow’s trends to keep our clients at the summit in an ever-changing marketplace. Leading with architecture and design, our next-gen solutions enable enterprises to accelerate on their digital transformation journey. Customer centricity is foundational to us and is reflected in the Mphasis’ Front2Back™ (F2B) transformation approach. F2B is a customer-in view approach that uses our industry-specific X2C2TM framework, and harnesses the power of cognitive technologies and rich data resident in enterprises to transform them. It is a way to introduce disruptive technology to smartly transform legacy environments. . Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients. Click here to know more Mphasis Presents #HowGeekAreYou Passion, Perseverance, Perfection – we are defined by these three words. Relentless in our pursuit of knowledge, we believe in accepting the difference and defining the 'new normal', staying true to our vision and values. We believe in growth by knowledge, responsibility by authority and freedom by flexibility. Be a part of a place where ideas are celebrated and perseverance is worshiped. Our doors are wide open, and breakthrough ideas are welcome from anyone. But we have a question to ask before we let you in: How Geek Are You? Click here to know more.
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