Lead end-to-end AI solutions for clients, manage project delivery and people, partner with sales for business development, collaborate with engineering/MLOps/DevOps, ensure data quality, model training, tuning, deployment, monitoring, and provide executive updates on status and risks.
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Job description:
The team member will be a part of AI services team at Fractal.ai and will be working in a fast paced environment
Lead Data Scientist is a leadership role in the AI services team with responsibilities spanning across client delivery, business development and people leadership.
Responsibilities:
- Leading AI solution end – to – end in given client projects, including AI solution design, execution and client and team management
- Leading project teams through the solution development, validation and, deployment, monitoring ensuring deliverable quality and timeliness
- Solving internal and client deadlocks ensuring alignments on key technical aspects of the AI solution
- Partnering with Sales teams during new business and renewal business development conversations to ensure new and incremental business
- Manage reporting team of data scientists and Sr. Data scientists providing career guidance for growth, resolving issues and ensuring high utilization in client projects
- Providing regular updates to executive team on client projects being handled, calling out project status, risks, issues, resolutions from a technical pov
- Collaborate with other functional teams such as Engineering, MLOps, DevOps, etc. as required in the client projects ensuring clear and effective communications enabling integration of AI solutions into client production systems.
- Collaborate with internal and client stakeholders to understand business requirements and translate them into AI solutions.
- Ensure optimizations in code and model using best-in-class techniques in ML and Deep learning
- Lead process of extensively clean, preprocess and transform to raw datasets to ensure its quality and suitability for model training.
- Implement best practices throughout the design and execution of AI solution
Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science or a related field.
- Minimum 11-15 years of experience in AI and Machine Learning
- Strong proficiency in Python, PySpark, cloud platforms such as AWS, Azure and GCP
- Strong proficiency in machine learning, deep learning, supervised/unsupervised learning algorithms and their execution
- Good to have experience and understanding of Generative AI concepts
- Previous experience in leading data science projects is must
- Previous experience in new/ renewal business development is must
- Previous experience in client and internal team management is must
- Hands-on experience with model training, hyperparameter tuning, and deployment.
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork skills
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Hiring Related QueriesIndia: [email protected]
Outside India: [email protected]
This inbox does not process resume submissions. All applications must be made through posted job openings
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
Fractal Chennai, Tamil Nadu, IND Office
Chennai, Tamil Nadu, India, 600034
Similar Jobs
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Lead architectural design and innovation for aerospace tooling solutions within the ANTHEM platform. Collaborate with business and technology leaders to align architecture with strategic goals, ensuring scalable, secure, compliant, and reliable solutions. Guide software development, system integration, validation, and engineering productivity initiatives. Build and support a strong technical team through recruiting, talent development, succession planning, retention, and inclusive leadership.
Top Skills:
.NetAvionics Communication ProtocolsBambooC#C++Ci/CdCloud ComputingGenerative AiGrafana LokiLaunchdarklyMicroservicesOctopusOpenshiftPythonService-Oriented Architecture (Soa)
Digital Media • Information Technology • News + Entertainment
Designs and customizes software applications, manages releases, gathers stakeholder requirements, mentors junior engineers, maintains technical documentation, evaluates performance metrics, and partners with Quality Assurance to ensure reliable, compliant software. The role also uses market trends to guide product improvements and participates in peer programming, design sprints, and prototyping. Requires independent judgment, consistent attendance, and flexibility to work nights, weekends, and variable schedules.
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead the design, development, deployment, and operation of enterprise applications and AI-enabled solutions. Build Java and Python backend services, frontend applications, APIs, microservices, RAG pipelines, and agentic AI workflows. Manage Azure cloud infrastructure, CI/CD, Terraform, Docker, Kubernetes, and artifact lifecycles. Ensure security, quality, scalability, and performance while troubleshooting production issues. Provide technical leadership, mentor engineers, guide architecture decisions, and collaborate across product, infrastructure, DevOps, and architecture teams.
Top Skills:
Agentic AiAgile/ScrumAi PdlcAksAngularAzureCi/CdDockerGenerative AiGithub ActionsJavaJfrog ArtifactoryKubernetesLlm OrchestrationMicroservicesNext.JsPrompt EngineeringPythonRagReactRest ApisSpring BootTerraformVector Search
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
