Senior Data Scientist (51258)

Company Overview

Incedo is a US-based consulting, data science and technology services firm with over 3000 people helping clients

from our six offices across US, Mexico and India. We help our clients achieve competitive advantage through

end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and

design capabilities coupled with deep domain understanding. We combine services and products to maximize

business impact for our clients in telecom, Banking, Wealth Management, product engineering and life science

& healthcare industries.

Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep

technology and domain experts, and global teams. Incedo University, our learning platform, provides ample

learning opportunities starting with a structured onboarding program and carrying throughout various stages of

your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible

career paths allow you to grow into a program manager, a technical architect or a domain expert based on your

skills and interests.

Our Mission is to enable our clients to maximize business impact from technology by

• Harnessing the transformational impact of emerging technologies
• Bridging the gap between business and technology

Role Description

Role Description:

As a Senior Technical Lead - ML Engineer / ML Ops - AzureML at Incedo, you will be responsible for building and deploying machine learning models in production environments. You will work with data scientists, data engineers, and software developers to design and implement machine learning pipelines. You will be skilled in programming languages such as Python or Java and have experience in ML tools such as TensorFlow or PyTorch. You will be responsible for ensuring that models are scalable, efficient, and can be deployed in production environments.

Roles & Responsibilities:

• Designing and developing machine learning (ML) models and algorithms
• Implementing and maintaining ML pipelines and workflows
• Collaborating with data scientists and analysts to deploy and monitor ML models
• Developing and implementing ML deployment and monitoring strategies
• Providing guidance and mentorship to junior ML engineers
• Troubleshooting and resolving ML platform issues
• Foster a collaborative and supportive work environment, promoting open communication and teamwork.
• Demonstrate strong leadership skills, with the ability to inspire and motivate team members to perform at their best.

Technical Skills

Skills Requirements:

Replacing Savitha Ravichandran - Experience implementing production solutions that leverage generative AI and LLMs, agentic frameworks -Implementation/use of SDLC harnesses for increasing personal and team productivity - Internal client consultation to elicit and collect requirements, and communicate and align the technical team toward delivery - Model solution design, build, orchestration and implementation - Experience building solutions with model governance, risk management, and regulatory adherence at top of mind - Continuous support of models deployed to production applications - Release planning, coordination, and hands on support throughout release windows

• Proficiency in programming languages such as Python, Java, or Scala.
• Understanding of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning.
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Knowledge of cloud computing and containerization technologies such as Docker, Kubernetes, or AWS.
• Lead and manage a team of professionals to achieve organizational goals.
• Provide guidance, support, and mentorship to help employees grow and develop professionally and focus on Career Management.

Nice-to-have skills

Qualifications

Qualifications

• 8-10 years of work experience in relevant field
• B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Company Value

We value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.