Machine learning & deep learning jobs in Chandigarh

 .... ~ Proficiency with ML frameworks: TensorFlow, PyTorch, Scikit-learn. ~ Experience deploying ML solutions in cloud environments (AWS,...  ...for ML, containerization (Docker/K8s), and serving frameworks. ~ Deep understanding of algorithms, system design, and data pipelines.... 

Job Responsibilities Development and integration of Python-based applications with LLMs (OpenAI, DeepSeek, Anthropic, LLaMA, etc.). Architect and implement LLM pipelines including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and evaluation. Design...

 ...Role Overview We are looking for a Senior Python Developer with deep expertise in AI/ML frameworks, data engineering, and scalable...  ...fine-tune, and deploy ML/DL models using TensorFlow, PyTorch, Scikit-learn, Hugging Face. Data Engineering : Work with structured/unstructured... 

 ...performant in real-world environments. Continuous Learning  : Stay abreast of advancements in AI, NLP, and machine learning to incorporate the latest technologies....  ...Falcon  . Solid understanding of machine learning, deep learning, and  Natural Language Processing (NLP)... 

 ...Stay updated with the latest advancements in  AI, NLP, and machine learning  . Proven experience  in developing  LLM-based chatbots and...  ...LLama, GPT-4, Mistral, Falcon). Knowledge of  machine learning, deep learning, and NLP techniques  . Experience with  Open AI, Hugging... 

 ...approach to mine data sources, employ statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discover...  ...modeling.- Proven experience with database technologies and a deep understanding of data lifecycle management.- Experience of working... 

 ...Responsibilities - Study and transform data science prototypes Design machine learning systems Research and implement appropriate ML algorithms and...  ...data structures, data modeling, and software architecture Deep knowledge of maths, probability, statistics, and algorithms... 

 ...or AI/ML solution development. 3+ years building and deploying production machine learning models. Experience with experimentation frameworks (A/B testing, model evaluation pipelines). Deep expertise in at least two domains: Computer Vision/OCR, NLP, or Anomaly... 

 ...large datasets to identify trends, patterns, and actionable insights to support business objectives.  Build, train, and deploy machine learning models to solve problems in areas like prediction, classification, and optimization.  Collaborate with business stakeholders... 

 ...experienced  AI/ML Developer to design, develop, and deploy advanced machine learning, computer vision, and natural language processing (NLP)...  ...role requires expertise in AI-driven development, automation, and deep learning to build scalable and efficient applications.... 

 ...thrive in a fast-paced, supportive environment where continuous learning, teamwork, and disciplined execution are key. If you're results-driven...  ...and shipping ML/AI products in production environments ~ Deep expertise in Large Language Models (LLMs) , Graph Neural Networks... 

 ...Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, JAX). Solid understanding of deep learning fundamentals — architectures, optimization, and evaluation. Experience with LLMs, diffusion models, or transformers (training... 

 ...Development and Deployment: Design, implement, and optimize supervised and unsupervised machine learning models for classification, regression, clustering, and anomaly detection tasks. Develop deep learning models (e.g., CNNs, RNNs, Transformers) for image recognition, NLP, and... 

 ...development. Proficiency in Python for data science applications. Strong understanding and experience in artificial intelligence (AI) and machine learning (ML) algorithms.Natural Language Processing (NLP): Experience in developing and deploying NLP models. Understanding of large... 

 ...scalable, and efficient software solutions. This role requires a deep understanding of Python programming and familiarity with...  ...Containerization, API Gateway (Advanced) Generative AI Models: Machine Learning, Natural Language Processing, AI Ethics (Advanced)  API Development... 

 ...Role Overview The Learning & Development (L&D) Officer will be responsible for driving capability building initiatives across the UITTR department by conducting competency mapping , training need analysis (TNA) , and implementing effective learning interventions. The... 

 ...AI Engineer (Specialized in Reinforcement Learning) with 2–5 years of experience in applying...  ...human-centric leadership principles, where deep work, simplicity, and adoption define...  ...enterprise-grade AI platforms powered by Machine Learning, Generative AI, and Agentic Systems... 

 ...AgentBridge). Knowledge of reinforcement learning (RLHF, RLAIF, reward modeling)....  ...enterprise-grade AI platforms powered by Machine Learning, Generative AI, and Agentic Systems...  ...human-centric leadership principles, where deep work, simplicity, and adoption define everything... 

 ...feature engineering, and exploratory analysis. Build and optimize machine learning pipelines using Python-based frameworks. Deploy ML models...  ...engineering, and model evaluation techniques. Knowledge of Deep Learning fundamentals (Neural Networks, CNN, RNN, Transformers... 

 ...requirements and translate them into ML problems. Collect, clean, and preprocess data for model development. Build and train machine learning models (classification, regression, clustering, etc.). Evaluate models using appropriate metrics and improve them through... 

 ...travel technology platform. This role combines deep technical expertise in AI agents with...  ...loops for continuous agent improvement and learning Technical Excellence - Agentic AI Focus...  ...Master's or PhD in Computer Science, AI, Machine Learning, or related field 7+ years of... 

 ...Company) What do you need for this opportunity Must have skills required: Analytical Mindset, Business Central, Dynamics 365, machine learning workflows within Fabric, Microsoft Certified: Fabric Analytics Engineer Associate, BI, Data Analytics, Lakehouse, Microsoft... 

 ...About CrossML CrossML is a cutting-edge software development firm specializing in AI and machine learning solutions. We deliver innovative technologies to empower businesses and enhance operational efficiency. Join us to work on impactful projects and stay ahead in... 

 ...problems across a diverse ecosystem of applications, services, and machine learning pipelines — from design to deployment — ensuring robust,...  ...development and monitoring. Enterprise Integration Expertise: Deep knowledge of enterprise integration patterns, including REST APIs... 

 ...Role Description GCP AI Architect Skill to Evaluate: Machine Learning, Aiml, Artificial Intelligence,LLM, Python, Rest,RAG, Oauth,OAuth...  ...in designing and delivering enterprise- grade solutions, with deep expertise in LLM integration, MCP protocol, RAG architecture, and... 

 ...AI/ML Models:Python-based models (e. g. :Scikit-Learn, TensorFlow) Responsibilities Design, develop, and implement machine learning models using Python. Perform data preprocessing, cleaning, and feature engineering. Train and evaluate machine learning models. Integrate... 

 ...skills. Experience with API development and micro services architecture. Deep understanding of software design principles and security best practices. Good-to-Have Skills Exposure to Machine Learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). Knowledge of... 

 ...large datasets to identify trends, patterns, and actionable insights to support business objectives. 2. Build, train, and deploy machine learning models to solve problems in areas like prediction, classification, and optimization. 3. Collaborate with business stakeholders... 

 ...involves collaborating across teams, mentoring junior staff, and staying current with developing technologies in data science and machine learning. Skills Key Skills Masters degree or higher in data science, statistics, computer science, or a related field.... 

 ...intelligent voice bots and chatbots that enhance customer interactions in contact centers. The project integrates NLP, NLU, and machine learning technologies with backend systems, databases, and APIs to create scalable, high-performance solutions. It utilizes CI/CD pipelines...