Consultant/Manager/Senior Manager - Automotive AI - Automotive/Industrial

Must-have skills:

Programming languages - Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications.

Good to have skills:

Big data technologies such as Spark or Hadoop, AI model explainability (XAI), bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques.

Experience:

Minimum 3 - 6 years of relevant Data Science, Machine Learning or AI-related roles, Exposure to Industrial & Automotive Firms or Professional Services.

Educational Qualification:

Bachelor/Master degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

Job Summary:

We are looking for a Data Scientist / AI Specialist with 3 - 6 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments.

Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges.

Roles & Responsibilities:

- Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients.

- Work with Generative AI models (e.g., GPT, Stable Diffusion, DALL-E) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants.

- Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications.

- Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA).

- Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions.

- Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use.

- Utilize MLOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles.

- Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives.

- Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems.

Job Qualifications:

Professional & Technical Skills:

- 3 - 6 years of experience in Data Science, Machine Learning, or AI-related roles.

- Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API.

- Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications.

- Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.).

- Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications.

- Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks.

- Experience working with SQL and NoSQL databases.

- Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment.

- Strong problem-solving and analytical thinking abilities.

- Ability to communicate complex AI concepts to technical and non-technical stakeholders.

- Bonus: Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins).

Additional Information:

- Bachelor/Master's degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record / MBA from top-tier universities.

- Excellent Communication and Interpersonal Skills.