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General information

Location:
IN_Bangalore_EOIZ Indust Area Campus_HCS
Additional Location:
Bangalore, India
Job Family:
Engineering
Worker Type Reference:
Regular - Permanent
Pay Rate Type:
Salary
JOB ID:
R-35290-2024

Description & Requirements

You will be responsible for driving the strategic direction of our AI and machine learning practice along with other key leaders. This role will involve leading internal AI/ML projects, shaping the technology roadmap, and overseeing client-facing projects including solution development, RFPs, presentations, analyst interactions, partnership development etc. The ideal candidate will have a strong technical background in AI/ML, exceptional leadership skills, and the ability to balance internal and external project demands effectively. In this strategic role, you will be responsible for shaping the future of AI/ML within our organization, driving innovation, and ensuring the successful implementation of AI/ML solutions that deliver tangible business outcomes.

Key Responsibilities of the role include:

  • Drive Innovation, Differentiation & Growth
    • Develop and implement a comprehensive AI/ML strategy aligned with our business goals and objectives.
    • Ownership on growth of the COE and influencing client revenues through AI practice
    • Identify and prioritize high-impact opportunities for applying AI/ML across various business units, departments and functions.
    • Lead the selection, deployment, and management of AI/ML tools, platforms, and infrastructure.
    • Oversee the design, development, and deployment of AI/ML solutions 
    • Define, differentiate & strategize new AI/ML services/offerings and create reference architecture assets
    • Drive partnerships with vendors on collaboration, capability building, go to market strategies, etc.
    • Guide and inspire the organization about the business potential and opportunities around AI/ML
    • Network with domain experts
    • Develop and implement ethical AI practices and governance standards.
    • Monitor and measure the performance of AI/ML initiatives, demonstrating ROI through cost savings, efficiency gains, and improved business outcomes.
    • Oversee the development, training, and deployment of AI/ML models and solutions.
    • Collaborate with client teams to understand their business challenges and needs.
    • Develop and propose AI/ML solutions tailored to client specific requirements.
    • Influence client revenues through innovative solutions and thought leadership.
    • Lead client engagements from project initiation to deployment.
    • Build and maintain strong relationships with key clients and stakeholders.
  • Build re-usable Methodologies, Pipelines & Models
    • Create data pipelines for more efficient and repeatable data science projects
    • Experience of working across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others
    • Coding knowledge and experience in languages including R, Python, Scala, MATLAB, etc.
    • Experience with popular databases including SQL, MongoDB and Cassandra
    • Experience data discovery/analysis platforms such as KNIME, RapidMiner, Alteryx, Dataiku, H2O, Microsoft AzureML, Amazon SageMaker etc.
    • Expertise in solving problems related to computer vision, text analytics, predictive analytics, optimization, social network analysis etc.
    • Experience with regression, random forest, boosting, trees, hierarchical clustering, transformers, convolutional neural network (CNN), recurrent neural network (RNN), graph analysis, etc.
  • People & Interpersonal Skills
    • Build and manage a high-performing team of AI/ML engineers, data scientists, and other specialists.
    • Foster a culture of innovation and collaboration within the AI/ML team and across the organization.
    • Demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment.
    • Candidates should be confident, energetic self-starters, with strong communication skills.
    • Candidates should exhibit superior presentation skills and the ability to present compelling solutions which guide and inspire.
    • Provide technical guidance and mentorship to the AI/ML team 
    • Collaborate with other directors, managers, and stakeholders across the company to align the AI/ML vision and goals 
    • Communicate and present the AI/ML capabilities and achievements to clients and partners 
    • Stay updated on the latest trends and developments in the AI/ML domain 

What is required for the role?

  • 12+ years of experience in the information technology industry with strong focus on AI/ML having led, driven and set up an AI/ML practice in IT services or niche AI/ML organizations
  • 10+ years of relevant experience in successfully launching, planning, and executing advanced data science projects.
  • A master’s or PhD degree in computer science, data science, information systems, operations research, statistics, applied mathematics, economics, engineering, or physics.
  • In depth specialization in text analytics, image recognition, graph analysis, deep learning, is required.
  • The candidate should be adept in agile methodologies and well-versed in applying MLOps methods to the construction of ML pipelines.
  • Candidate should have demonstrated the ability to manage data science projects and diverse teams.
  • Should have experience in creating AI/ML strategies & services, and scale capabilities from a technology, platform, and people standpoint.
  • Experience in working on proposals, presales activities, business development and overlooking delivery of AI/ML projects
  • Experience in building solutions with AI/ML elements in any one or more domains – Industrial, Healthcare, Retail, Communication

Be an accelerator to grow the practice through technologies, capabilities, and teams both organically as well as inorganically


HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.