Tamil Nadu Algorithms & optimization engineer Jobs – 116 Open Jobs Today

Data Science and AI Manager
Ford Motor Company —Chennai, Tamil Nadu
- Azure
- Computer Science
- Master's degree
1d
Data Science Engagement Lead
Shell —Chennai, Tamil Nadu
- Full-time
- Azure
- Salesforce
- Master's degree
Senior Data Science Lead (Gen AI/ Agentic AI) - Vice President
Citi —Chennai, Tamil Nadu
- Full-time
- Management
- Computer Science
- Master's degree

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SEO Specialist
QUA Nutrition —Chennai, Tamil Nadu
Stay updated with the latest *Google algorithm updates* and industry SEO trends. Minimum *3 years of proven experience* in SEO management.
₹9,275.01 - ₹35,000.00 a month
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Senior SEO Specialist
Cadd Centre —Anna Nagar, Chennai, Tamil Nadu
Pay: ₹25,000.00 - ₹50,000.00 per month. Perform technical SEO audits and website optimization. Strong understanding of search engine algorithms and ranking…
₹25,000 - ₹50,000 a month
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Data Science and AI Manager

Ford Motor Company -
Chennai, Tamil Nadu

Apply Now

Job details

1 day ago

Qualifications

TensorFlow
Azure
Law
Computer Science
Kubernetes
Software deployment
Enterprise Software
NumPy
Master's degree
Pandas
AWS
Docker
Bachelor's degree
Machine learning
Deep learning
Mentoring
Natural language processing
Data analytics
Data science
AI
Communication skills
Python

Full job description

Job ID

66915

Category

Global Data Insight & Analytics

Location

Chennai, India

Work Type

Hybrid

We are seeking a highly motivated and experienced AI ML/Data Analytics Manager to join our team. This is a hands-on technical leadership role where you will be responsible for designing, developing, and deploying cutting-edge AI solutions specifically tailored for FCSD, our after-sales service operations. You will lead a team of AI ML/Data Analytics engineers, guiding them through the full lifecycle of product development, from ideation and prototyping to deployment and continuous improvement. The ideal candidate will possess deep expertise in machine learning, strong programming skills, and a passion for solving complex business problems that directly impact customer experience.

Technical Leadership:
- Lead, mentor, a team of data scientists, fostering a collaborative and innovative environment.
- Provide technical guidance and oversight throughout the solution development lifecycle.
- Drive best practices in MLOps, model development, testing, and deployment.
- Stay abreast of the latest advancements in AI/ML and recommend their application to relevant business challenges.
Hands-on AI ML Development:
- Design, build, and deploy end-to-end AI/ML models and systems that address critical after-sales service needs.
- Develop robust, scalable, and production-ready code for AI ML applications.
- Perform data exploration, feature engineering, model training, evaluation, and optimization.
- Integrate AI ML solutions with existing enterprise systems and data pipelines.
Strategy & Collaboration:
- Collaborate closely with product managers, data scientists, business stakeholders, and IT teams to understand requirements, define project scope, and deliver impactful AI ML solutions.
- Translate complex business problems into well-defined AI/ML technical requirements and architectural designs.
Problem Solving:
- Identify opportunities to leverage AI ML to improve efficiency, reduce costs, and enhance customer satisfaction in after-sales service.
- Debug and troubleshoot complex AI ML systems and data issues.

Doctorate / Bachelor's or Master's degree in Computer Science, Engineering, :Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.

5+ years of professional experience in Artificial Intelligence, Machine Learning, or Data Science roles.
2+ years of experience leading or mentoring a small team of engineers or data scientists.
Strong hands-on programming proficiency in Python (including libraries like TensorFlow, PyTorch, scikit-learn, pandas, numpy).
Demonstrated experience in designing, building, and deploying machine learning models into production environments.
Solid understanding of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning, deep learning) and their practical applications.
Experience with Natural Language Processing (NLP)/LLM/Gen AI techniques and tools.
Experience with cloud platforms (e.g., GCP, AWS, Azure) for AI/ML development and deployment.
Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes).
Knowledge of causal inference, reinforcement learning, or optimization techniques.
Excellent problem-solving skills and the ability to work independently and as part of a team.
Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Apply Now

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algorithms & optimization engineer jobs in tamil nadu

Data Science and AI Manager

Data Science Engagement Lead

Senior Data Science Lead (Gen AI/ Agentic AI) - Vice President

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