Sr. AI Consultant /JMR Infotech /Bangalore
- JMR Infotech
- 4 - 9 years
- Bengaluru
- 8 days ago
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Job Description
Role & responsibilities
Job Description
Job Overview We are seeking an experienced AI/ML Consultant with 8-12 years of experience to lead the design, development, and deployment of AI and Machine Learning solutions for enterprise-level projects. The ideal candidate will have strong expertise in deep learning, machine learning algorithms, cloud AI services, and MLOps, with a focus on solving real-world business challenges using AI. Key Responsibilities AI/ML Strategy & Consulting Work closely with stakeholders to understand business challenges and identify opportunities where AI/ML can drive value. Develop AI/ML roadmaps, proof-of-concept models, and scalable AI strategies. Advise on AI governance, model explainability, and ethical AI practices. Model Development & Deployment Design, build, and optimize machine learning models for classification, regression, NLP, computer vision, and recommendation systems. Implement and fine-tune deep learning architectures (CNNs, RNNs, Transformers). Work with large-scale datasets for feature engineering, data preprocessing, and model training. Deploy models using MLOps best practices, ensuring efficient monitoring, retraining, and lifecycle management. Large Language Model (LLM) Development & AI Agents Fine-tune, train, and deploy LLMs (GPT-4, LLaMA, Mistral, Falcon, Claude, Gemini) for chatbots, knowledge management, and intelligent automation. Implement Retrieval-Augmented Generation (RAG) to improve response accuracy and integrate knowledge bases. Develop AI Agents that can handle complex workflows, automate customer interactions, and execute multi-step reasoning. Experiment with multi-modal AI (text, image, and video) for industry-specific use cases. Technical Leadership & Innovation Lead AI/ML teams in building scalable solutions using Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure). Stay up to date with AI research and recommend cutting-edge solutions for business applications. Implement best practices in model interpretability, fairness, and bias mitigation. Collaboration & Knowledge Sharing Work with cross-functional teams, including data engineers, software developers, and business analysts, to integrate AI models into production systems. Mentor junior AI engineers and provide technical guidance on ML frameworks and architectures. Conduct workshops and knowledge-sharing sessions on AI trends and best practices.
Mandatory Qualifications
Preferred Qualifications: Masters or Ph.D. in Computer Science, AI/ML, Data Science, or related fields. Experience with generative AI models/LLMs AI certifications from AWS, Google, or Microsoft.
Mandatory Skills
Required Qualifications & Skills Technical Skills: Programming: Python, R, SQL, Java (optional). ML Frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost. Data Handling: Pandas, NumPy, Spark, Snowflake. MLOps & Deployment: Docker, Kubernetes, MLflow, TensorFlow Serving, FastAPI. Cloud Services: AWS (SageMaker, Lambda, S3), GCP (Vertex AI), Azure (ML Studio). LLMs & Generative AI: GPT-4, LLaMA, Claude, Gemini, Mistral, Falcon. NLP & Transformers: Hugging Face, LangChain, OpenAI API, Sentence Transformers. Vector Search & RAG: FAISS, ChromaDB, Pinecone, Weaviate Soft Skills: Strong analytical and problem-solving abilities. Ability to communicate complex AI concepts to non-technical stakeholders. Experience working in agile environments. Ability to lead AI initiatives and mentor teams.
Desirable Skills
Required Qualifications & Skills Technical Skills: Programming: Python, R, SQL, Java (optional). ML Frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost. Data Handling: Pandas, NumPy, Spark, Snowflake. MLOps & Deployment: Docker, Kubernetes, MLflow, TensorFlow Serving, FastAPI. Cloud Services: AWS (SageMaker, Lambda, S3), GCP (Vertex AI), Azure (ML Studio). LLMs & Generative AI: GPT-4, LLaMA, Claude, Gemini, Mistral, Falcon. NLP & Transformers: Hugging Face, LangChain, OpenAI API, Sentence Transformers. Vector Search & RAG: FAISS, ChromaDB, Pinecone, Weaviate Soft Skills: Strong analytical and problem-solving abilities. Ability to communicate complex AI concepts to non-technical stakeholders. Experience working in agile environments. Ability to lead AI initiatives and mentor teams.
Preferred candidate profile
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: JMR InfotechLocation(s): Bengaluru
Keyskills: PyTorch Artificial Intelligence Machine Learning Python TensorFlow Scikit-learn SQL
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