ML / Dev OPS, ML Senior Engineer and PX-Gen AI Engineer.

As a ML/Dev Ops Engineer at DHI Consultancy, you will be responsible for: - Having 5 to 10 years of experience in ML Engineering, MLOps, or DevOps roles with a focus on machine learning systems. - Being an immediate joiner, able to start immediately or within a very short notice period. - Demonstrating expert-level proficiency with mlFlow, Seldon, and Kubeflow MLOps tools. - Possessing strong practical experience with Databricks and Tecton (or similar feature stores) for Data & Feature Engineering. - Having deep knowledge of AWS services for computing, storage, networking, and security for Cloud & Infrastructure. - Showing proven ability to build and manage automated pipelines using Jenkins for CI/CD & Automation. - Exhibiting excellent coding skills in Python for Programming. - Implementing monitoring solutions with Grafana (or similar tools like Prometheus) for Monitoring. As a ML Senior Engineer at DHI Consultancy, your key responsibilities will include: - Leading end-to-end design, training, and deployment of ML and DL models. - Working on NLP, classification, clustering, forecasting, recommender systems, and safety models. - Handling model evaluation through A/B testing, offline/online metrics. - Collaborating with engineering and product teams for integration. - Mentoring junior engineers and conducting knowledge-sharing sessions. - Ensuring scalability, cost-effectiveness, and performance optimization. Required skills for this position are: - Strong background in Data Science, ML, AI, Statistics, Deep Learning, MLOps. - Hands-on experience with TensorFlow, PyTorch, MLlib, Databricks. - Expertise in Python, SQL, Spark, Kubernetes, Jenkins, Prometheus. - Proven experience in deploying large-scale ML systems. - Strong communication and leadership skills. Qualifications required: - Masters degree in Computer Science, Data Science, Statistics, or equivalent. - 5+ years of hands-on experience in production-level ML solutions. As a PX-Gen AI Engineer-1 at DHI Consultancy, your key responsibilities will involve: - Fine-tuning and optimizing Large Language Models (LLMs) for specific use cases. - Deploying Gen AI models in production using AWS/Azure and Docker. - Building and maintaining RESTful APIs with Flask/FastAPI for AI services. - Implementing NLP-driven solutions with search and indexing capabilities. - Evaluating model performance, running experiments, and applying Agentic AI frameworks. - Collaborating across teams for integration and scalability of AI systems. - Researching and integrating the latest advancements in Gen AI and NLP. Required skills for this role include: - Strong programming in Python. - Hands-on experience with LangChain, LangGraph, PyTorch, SpaCy, DSPy. - Cloud integration experience with AWS/Azure. - API development using Flask, FastAPI. - Knowledge of Agentic AI, LLM evaluation, Docker, MCP. Qualifications expected: - B.Tech/M.Tech/Masters in Computer Science or AI-related field. - 5-7 years of experience in ML/AI with a strong focus on Gen AI.,