Sholinganallur Chennai Tamil Nadu Store executive Jobs – 148 Open Jobs Today

AI ML Lead
Intigniz Solutions —Chennai, Tamil Nadu
- Azure
- Master's degree
- SQL
Knowledge Engineer
Accenture —Chennai, Tamil Nadu
- Full-time
- Azure
- Doctoral degree
- Computer Science
Data Engineer
Moving walls India Pvt ltd —Chennai, Tamil Nadu
- Computer Science
- Java
- Databases
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Sales Associate
Wildcraft India Pvt Ltd —Chennai, Tamil Nadu
Maintain cleanliness and visual standards of the store. Provide product information and recommendations. Report sales and stock-related information to the…
Up to ₹24,000 a month
Quick apply
10d
Merchandiser
Cavinkare Group Companies —Chennai, Tamil Nadu
Build good working relationships with shop owners, retailers, salespersons, and customers. Visit assigned retail outlets as per the approved beat plan.
₹20,000 - ₹25,000 a month
Quick apply
3d

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AI ML Lead

Intigniz Solutions
Chennai, Tamil Nadu

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Job details

Qualifications

TensorFlow
Azure
Master's degree
SQL
AWS
Analysis skills
Project management
Bachelor's degree
Machine learning
Continuous improvement
Natural language processing
Data analytics
Agile
Data science
AI
Communication skills
Banking
Python

Full job description

Job Title: AI/ML Lead

Location: Chennai (Work from Office)
Experience: 3 to 5 Years
Function: AI & Data Science Enterprise Delivery
Role: Team Manager

Job Summary:
We are seeking a strategic AI/ML leader to drive AI initiatives within the Banking domain. As an AI/ML Lead, you will leverage your expertise in Machine Learning, Data Science, and Banking to deliver high-impact solutions that align with business objectives. This role involves both technical and functional leadership, ensuring AI/ML models drive measurable business outcomes across multiple banking functions.

Key Responsibilities:Strategic Development & Alignment:
Act as a bridge between business and technology, aligning AI/ML projects with organizational goals.
Develop and drive an AI/ML roadmap, balancing innovation with business priorities.
Translate complex AI capabilities into business-oriented solutions.

Techno-Functional Expertise:
Work with cross-functional teams to integrate AI/ML models into business processes.
Lead the development and deployment of production-grade AI/ML models, ensuring scalability and compliance.
Ensure high adoption and measurable impact across the Banking vertical.

Reusable Frameworks & Best Practices:
Develop a library of reusable AI/ML assets, including feature stores and model templates.
Establish best practices for AI/ML lifecycle management, ensuring operational efficiency.

AI Governance & Compliance:
Implement AI governance frameworks to ensure ethical and regulatory compliance.
Collaborate with risk, compliance, and security teams to align AI solutions with data privacy standards.

Leadership & Collaboration:
Mentor and develop a team of Data Scientists & ML Engineers, fostering a culture of innovation.
Act as a key advisor on AI initiatives, guiding executive leadership on AI-driven business transformations.
Ensure seamless collaboration across business functions to align AI solutions with priorities.

Innovation & Experimentation:
Promote a culture of experimentation and AI-driven innovation.
Stay ahead of industry trends and emerging AI technologies, driving continuous improvement.

Required Skills & Competencies:Technical Skills:
3+ years of hands-on experience in AI/ML, leading cross-functional projects.
Expertise in Natural Language Processing (NLP) & Large Language Models (LLMs).
Proven track record of building, evaluating, and deploying ML models in production.
Strong proficiency in Python, SQL, TensorFlow, PyTorch, and the ML development lifecycle.
Ability to translate technical concepts into business insights for executive stakeholders.
Strong analytical and problem-solving skills in complex AI/ML applications.

Preferred Skills:
Banking experience with knowledge of Credit Cards, Retail Banking products, and Regulatory requirements.
Experience in cloud-based AI/ML platforms (AWS, GCP, Azure).
Knowledge of agile methodologies and project management tools.

Soft Skills:
Excellent written and verbal communication skills to engage with senior stakeholders.
High flexibility, autonomy, and ability to manage multiple priorities.
Strong leadership in fostering an inclusive and innovative team environment.

Academic Qualifications & Experience:
Bachelor’s Degree with 3+ years of experience in data analytics OR
Master’s Degree with 3+ years of experience in data analytics.
Strong hands-on experience in Python, SQL, and working with large datasets.
Solid foundation in Statistical Analysis and AI/ML applications in Banking

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