Job Details
Birlasoft combines the power of domain, enterprise, and digital technologies to reimagine business processes for customers and their ecosystem. It is a consultative and design-thinking approach that makes societies more productive by helping customers run businesses. As part of the multibillion-dollar diversified CK Birla Group, Birlasoft with its 12,500+ professionals is committed to continuing the Group s 162-year heritage of building sustainable communities.
Job Title: Director - Data Science / AI & ML Practice Lead
Location- NJ
Fulltime Role
We are seeking an experienced Data Science and AI/ML Practice Leader; you will be at the forefront of driving innovation and implementing cutting-edge data science and artificial intelligence/machine learning (AI/ML) solutions for our clients. You will lead a team of skilled professionals, collaborating with clients to understand their unique challenges and delivering tailored solutions that leverage data-driven insights to drive business transformation.
Key Responsibilities:
- Strategic Leadership:
- Develop and execute a strategic roadmap for the data science and AI/ML practice, aligning with the firm's overall objectives and market trends.
- Identify opportunities for innovation and differentiation, leveraging data science and AI/ML to solve complex business problems and create value for Birlasoft clients.
- Client Engagement:
- Engage with clients to understand their business objectives, challenges, and opportunities, and collaborate with them to design and deliver customized data science and AI/ML solutions.
- Serve as a trusted advisor, providing expertise on industry best practices, emerging technologies, and innovative approaches to leveraging data for competitive advantage.
- Team Management:
- Lead and mentor a team of data scientists, machine learning engineers, data engineers, and AI specialists, fostering a culture of collaboration, innovation, and excellence.
- Provide guidance on project scoping, resource allocation, and technical direction, ensuring successful project delivery and client satisfaction.
- Solution Development:
- Oversee the design, development, and implementation of data science and AI/ML solutions, ensuring alignment with client requirements, industry standards, and best practices.
- Collaborate with cross-functional teams to integrate data science and AI/ML capabilities into existing systems and workflows, maximizing impact and value for clients.
- Thought Leadership and Innovation:
- Stay abreast of industry trends, emerging technologies, and best practices in data science and AI/ML, and drive innovation through research, experimentation, and knowledge sharing.
- Contribute to thought leadership initiatives, such as whitepapers, blogs, and presentations, showcasing the firm's expertise and thought leadership in data-driven solutions.
- Pre-sales Support:
- Collaborate closely with the sales team to understand the specific requirements and pain points of our clients, and develop tailored proposals and solutions.
- Conduct client meetings and presentations to articulate the value proposition of our AI/ML/Gen AI services in addressing the unique challenges faced by the key industry sectors.
- Work with the sales team to craft responses to RFPs (Request for Proposals) and RFIs (Request for Information) with customized solutions.
- Go-to-Market Strategy:
- Develop and execute go-to-market strategies specifically targeting the industry verticals, identifying key stakeholders, industry trends, and competitive positioning opportunities.
- Collaborate with the marketing team to create targeted collateral, case studies, and thought leadership content highlighting our AI?ML/Gen AI expertise.
- Actively participate in industry events, conferences, and forums to promote our AI/ML/Gen AI services and establish thought leadership within the sector.
Qualifications:
- Advanced degree (Ph.D. or Master's) in Computer Science, Statistics, Mathematics, Engineering, or related field.
- Extensive experience (10-12+ years) in data science, machine learning, AI, or related domains, with a proven track record of leading successful projects and teams within a system integration context.
- Strong understanding of system integration principles, architectures, and technologies, with the ability to design and implement data science and AI/ML solutions that seamlessly integrate with existing systems and processes.
- Experience in at least one of the industry verticals such as Fintech, Life sciences & Healthcare, Manufacturing, or energy & Utilities is MUST, along with relevant certifications in data science, AI, or related fields.
- Deep understanding of Generative AI and latest market trends and create a roadmap and vision for our clients.
- 4-5 years of experience in working as a data science practice leader at Big 4 or boutique consulting firms
- Excellent communication, leadership, and client-facing skills, with the ability to build trusted relationships, influence stakeholders, and articulate complex technical concepts to diverse audiences.
- Strong analytical and problem-solving abilities, with a passion for driving innovation and leveraging data-driven insights to solve business challenges for clients.
- Experience in solutions architecture. technical domains such as AI/ML, multimodal ML, model evaluation, MLOps, MLSecOps, ML training, inference, data engineering, data science, fine-tuning
- Manage and mentor a team of skilled data scientists, fostering a culture of collaboration, innovation, and continuous learning.
- Proficiency in programming languages such as Python, R, Java, along with experience with data science and AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Take the lead in designing the AI architecture and selecting technologies from both open-source and commercial offerings.
- Knowing the workflow and pipeline architectures of ML and deep learning workloads, including the components and trade-offs across data management, governance, model building, deployment, and production workflows, is crucial.
- Experience in advanced analytics tools (Python, R) along with applied mathematics, ML, Deep Learning frameworks (such as TensorFlow), and ML techniques (such as random forest and neural networks).
- Experience in Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Deep Neural Networks,..)
- Developing AI and ML models in real-world environments, and integrating AI and ML using cloud-native or hybrid technologies into large-scale enterprise applications.
- Experience in developing best practices for the ML life cycle, feature engineering, model management, MLOps, deployment, and monitoring.
If you are a motivated individual with a passion for delivering results and have the required experience, we would love to hear from you. Please apply with your updated resume and a cover letter detailing your relevant experience.