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Management Level Ind & Func AI Decision Science Analyst Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. 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. Job Summary We are looking for a Data Scientist / AI Specialist with 1-3 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, DALLE) 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 MOps 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. Professional & Technical Skills: 1-3 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. About Our Company | Accenture Qualification Experience: Minimum 1-3 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Master’s degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

Terafac is seeking a Software Engineer to join our team focused on making a transformational AI-Vision platform for Industrial Robots. The ideal candidate will have exposure to training Computer Vision and Robotics AI models. The position will involve taking these skills and applying them to solve for some of the most crucial & most exciting technology challenges of our generation. We are hiring in Chandigarh. Software Engineer - Vision & AI/ML Apply relevant AI and machine learning techniques to build models that improve Terafac’s AI Vision platform. Involved in goal setting related to the effort, AI system design, and ML excellence Drive efforts across multiple teams Work with other AI Engineers & improve the quality of AI work in the broader team Read research around Computer Vision, Generative AI and Robotics, and share your learnings with the team. Understand model architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches Apply in-depth knowledge of how the machine learning system interacts with the other systems around it. Collaborate with Terafac team on their novel efforts in model training, reasoning systems, and/or learning via simulation etc. Minimum Qualifications Bachelors/Masters degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Professional project experience in one or more of the following machine learning/deep learning domains like Computer Vision, LLMs, Robotics etc. Very good knowledge of Python Version Control (Git). Preferred Qualifications Experience in deep learning and PyTorch Experience in computer vision, working with Point Clouds, 3D Registration etc Experience with libraries like OpenCV, Open3D, etc. Good Understanding of machine learning pipeline in production (MLOPs) Experience with on-device algorithm development Experience working and communicating cross functionally in a team environment. Job Details Job Type: Full-time Location: Chandigarh, Sector 25 (Work from Office) CTC range: 6 - 12.5 l.p.a. (On the basis of Relevant Experience) Contact Details (Please share your resume here) +91 8264445150 Terafac is building an AI-Vision platform for industrial robots that will enable transformation of manufacturing. Our founding team is young, energetic and with an exceptionally high talent density doing the best work of their lives. It is not just an opportunity to work with the team, in the advanced field of AI and Robotics, and make fundamental breakthroughs at the cutting-edge of technology. Get experience and exposure to state of the art technology and the startup ecosystem. The work you will do with Terafac will unlock Industrial capacity and take humanity forward. Job Types: Full-time, Permanent Pay: ₹400,000.00 - ₹1,200,000.00 per year Benefits: Health insurance Paid sick time Provident Fund Schedule: Day shift Monday to Friday Experience: Software development: 1 year (Required) Work Location: In person

Location: Vishakapatnam Andhra Pradesh India Duration: 1 year Job Description We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Responsibilities Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Managing available resources such as hardware, data, and personnel so that deadlines are met Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks Stay up to date with developments in the machine learning industry Skills Proficiency with a deep learning framework such as TensorFlow or Keras Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Familiarity with data structures, data modeling, and software architecture Expertise in visualizing and manipulating big datasets Proficiency with OpenCV Familiarity with Linux Ability to select hardware to run an ML model with the required latency