Technical Architect - Machine Learning; NLP & Computer Vision

Position: Technical Architect - Machine Learning(NLP & Computer Vision)
Location: Bengaluru

Job Description

Role:  Technical Lead – Machine Learning
Experience Level:  8 Years or Above

Work location:

Mumbai, Bangalore & Trivandrum

What you’ll do:

You will be working as a TA Machine Learning Engineer within the healthcare domain, working on and delivering projects that are running across multiple geographies, helping healthcare organizations achieve their business goals with use of data ingestion technologies, cloud services & Dev Ops. You will be working with teams from other specialties such as Cloud engineering, Software engineering, Data engineering to create platforms, solutions and applications that cater to latest trends in the healthcare industry such as digital diagnosis, software as a medical product, AI marketplace, amongst others.

Role & Responsibilities:
Developing high-level solution architectures and working with our offshore team of big-data engineers and decision science analysts to build, test and assess models that predict and optimize business outcomes based on client’s success criteria.
Develop sophisticated yet simple interpretations and communicate insights to clients that lead to quantifiable business impact.
Building deep relationships with clients by understanding their stated but more importantly, latent needs.
Working closely with the offshore delivery managers to ensure a seamless communication and delivery cadence. Researching and identifying sales opportunity, generating leads, target identification and classification
Serve as a mentor or guide for senior resources / team leads.
Lead the technical discussion regarding architecture designing and troubleshooting with the clients and provide solutions proactively as required. Fluent in communication

Skills Required:

Must have:
8+ years’ experience of Hands-on in model development, deployment and operationalization of projects in Computer Vision, NLP, etc
Strong theoretical understanding of Machine Learning concepts, as well Deep Learning base architectures, cloud-based web services architecture, design patterns and frameworks
Comfortable with exploring new research and engineering/development best practices types
Hands on experience working on and handling projects in the healthcare domain would be a desired skill
Experience in implementing Deep Learning solutions pertaining to, but not restricted to, Reinforcement Learning, Natural Language Processing, Auto ML.
Exposure to latest cutting-edge research. Ability to implement a research paper, as well as augment the current solution and communicate it to clients and team
Great analytical skills, with expertise in analytical toolkit such as Logistic Regression, Cluster Analysis,Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.

Leadership qualities
Provide thought leadership to the team and bring industry best practices to the project.
Ability to lead technology teams and provide them mentorship / support to accelerate performance.
Ability to handle conflicts effectively by managing internal and external stakeholders
Experience in leading multiple large projects as well as a deep understanding of Agile developments
Effective communication with all the stakeholders involved.
communicate clearly about complex subjects and technical plans with technical and non technical audiences.

Good to have:
Hands-on experience with statistical tools and techniques

Experience with Agile/Scrum/Dev Ops software development methodologies.
Critical eye for the quality of data and strong desire to get it right.

Behavioural skills:
Effective communication with all the stakeholders involved
Need to communicate clearly about complex subjects and technical plans
Ability to mentor and groom junior members of the team and provide them with guidance and roadmap.
Must also have the ability to interact with other members of the team (Juniors, Seniors, ATA, TA, BA, etc) to get their designs from concept to development Keeping various audiences in mind, engineers must write their reports in clear language accessible to all.

What is in it for you:
Opportunity to learn cloud native services and how to utilize those services to solve various business problems.
More hands-on learning opportunity in Python, SQL, etc
Sponsored certification opportunity for various courses of your choice (eg, GCP, AWS, Azure, Tableau, Looker,etc)
Allocated work will allow you to not only just complete the task but you will be given an opportunity to own-up the work and take responsibility of it’s end-to-end delivery