Job Description: We are seeking a skilled and innovative AI/ML Engineer to design, build, and deploy machine learning solutions that solve complex business challenges in mission-critical industries. You will work with multidisciplinary teams to apply AI, ML, and deep learning techniques to large-scale datasets and real-time operational systems. Key Responsibilities: Design and implement end-to-end ML pipelines: data ingestion, model training, evaluation, and deployment Build predictive and prescriptive models using structured, unstructured, and real-time data Develop and fine-tune deep learning models for NLP, computer vision, or time series forecasting Integrate ML models into enterprise platforms, APIs, and dashboards Work closely with domain experts, data engineers, and DevOps teams to ensure production-grade performance Conduct model validation, bias testing, and post-deployment monitoring Document workflows, architecture, and results for reproducibility and audits Research and evaluate new AI tools, techniques, and trends Required Skills & Qualifications: Bachelor's or Masters degree in Computer Science, Data Science, Engineering, or related field 5-7 years of hands-on experience in developing and deploying ML models Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, XGBoost) Experience with NLP (BERT, spaCy) or CV frameworks (OpenCV, YOLO, MMDetection) Familiarity with data processing tools (Pandas, Dask, Apache Spark) Proficient in SQL and experience with time-series or sensor data Knowledge of ML Ops practices and tools (Docker, MLflow, Airflow, Kubernetes) Industry experience in Oil & Gas, Power Systems, or Urban Analytics Hands-on with edge AI (Jetson, Coral), GPU compute, and model optimization Cloud services: AWS SageMaker, Azure ML, or Google AI Platform Familiarity with REST APIs, OPC-UA integration, or SCADA data sources Knowledge of responsible AI practices (explainability, fairness, privacy).

Position: Senior AI/ML Engineer (68Years) – GeoAI & Conversational Systems Location:Hyderabad Team: GeoAI & Intelligent Assistants About the Role We’re seeking a seasoned AI/ML expert with 6–8years of handson experience—particularly in geospatial intelligence (GeoAI) and conversational AI—to own the endtoend design, development, and deployment of advanced machinelearning solutions, including chatbots and “copilot” assistants. You will collaborate with GIS engineers, data scientists, and product teams to build systems that understand spatial data, power decisionsupport interfaces, and engage users via natural language. Key Responsibilities GeoAI Model Development: Architect and train spatialanalysis models (e.g., landuse classification, object detection in satellite/drone imagery, changedetection pipelines) Integrate geospatial features into ML workflows (e.g., spatial joins, coordinatebased embeddings, topological data structures) Conversational AI & Copilot Systems: Design, finetune, and deploy large language models (LLMs) for domainspecific chatbots and copilots Implement NLU/NLG pipelines (intent/entity extraction, dialogue management, context handling) Build guidance interfaces (“copilots”) that assist users—e.g., query GIS datasets, autogenerate map legends, suggest spatial analysis steps Productionization & MLOps: Containerize ML services (Docker/Kubernetes), set up CI/CD for model training and serving Monitor model performance in production, implement A/B testing and continuous learning loops Data Engineering & Integration: Build and maintain ETL pipelines for largescale spatial and tabular datasets Optimize geospatial databases (PostGIS, GeoMesa) and timeseries stores for ML feature retrieval Collaboration & Leadership: Mentor junior ML engineers and data scientists on best practices in GeoAI and NLP Partner with product managers to translate requirements into technical specifications and roadmaps Conduct code reviews, design reviews, and knowledgesharing sessions Required Qualifications Experience: 6–8years in applied AI/ML roles, with at least 2years focused on geospatial machine learning and 2years on NLP/Conversational AI Technical Skills: Proficient in Python and ML frameworks (TensorFlow, PyTorch, ScikitLearn) GeoAI libraries: Rasterio, GDAL, GeoPandas, PyProj, or similar NLP/LLM toolkits: Hugging Face Transformers, Rasa, Dialogflow, or equivalents Experience finetuning and deploying LLMs (GPTseries, LLaMA, etc.) and integrating with vector databases (Pinecone, Qdrant) Strong data engineering skills: SQL, PostGIS, Apache Spark or Dask for largescale processing DevOps & MLOps: Containerization (Docker), orchestration (Kubernetes), and CI/CD tooling (Jenkins, GitHub Actions) Monitoring/logging (Prometheus, ELK/EFK stacks) and A/B testing frameworks Problemsolving & Ownership: Demonstrated ability to own features endtoend, from design through production Strong analytical mindset, with experience troubleshooting model drift, performance degradation, and bias Communication & Leadership: Excellent verbal and written communication in English Proven mentorship of junior engineers and ability to lead crossfunctional technical discussions Preferred (NicetoHave) Experience with realtime spatial analytics (e.g., streaming telemetry from IoT devices, geofencing alerts) Familiarity with cloudnative geospatial platforms (AWSGround Station, Google Earth Engine, Azure Maps) Background in userexperience design for chatbots or voice assistants (e.g., conversational UX best practices) Publications or opensource contributions in GeoAI or NLP