Sr AI/ML EngineerSRS Consulting Incfull-timeRequired skillsLangChainPythonAWSApacheApache SparkAzurebig data technologiescompliancecomputer visioncontainerizationdata sciencedeep learningDockerend-to-endETLFastAPIFlaskGCPGitHadoopKafkaKubernetesmachine learningmicroservicesNLPSparkSQLTensorFlowPytorchAbout the role SRS Consulting Inc Website: srsconsultinginc.com Job details: Key ResponsibilitiesLead end-to-end development of AI/ML solutions from problem definition to production deploymentArchitect scalable and efficient ML pipelines and data workflowsDesign and implement advanced models (NLP, Computer Vision, Recommendation Systems, etc.)Mentor junior engineers and guide best practices in ML developmentCollaborate with product managers, data engineers, and stakeholders to translate business problems into AI solutionsOptimize model performance, scalability, and reliability in productionDrive adoption of MLOps practices (CI/CD for ML, monitoring, model governance)Conduct research and apply cutting-edge techniques in AI/MLEnsure model explainability, fairness, and compliance standardsRequired Skills & QualificationsBachelor’s/Master’s/PhD in Computer Science, AI, Data Science, or related field10 years of professional experience in AI/ML developmentStrong expertise in Python and ML frameworks:TensorFlow, PyTorch, Scikit-learnDeep understanding of:Machine Learning algorithms (supervised, unsupervised, reinforcement learning)Deep Learning architectures (CNNs, RNNs, Transformers)Hands-on experience in productionizing ML models at scaleStrong experience with:Data engineering (SQL, ETL pipelines)Big data technologies (Apache Spark, Hadoop)Experience with cloud platforms:AWS / Azure / GCPProficiency in building APIs and microservices (FastAPI, Flask)Experience with containerization and orchestration:Docker, KubernetesStrong understanding of software engineering best practices (Git, CI/CD)Preferred QualificationsExperience with Large Language Models (LLMs) and Generative AIFamiliarity with frameworks like LangChain, Hugging FaceExperience in real-time ML systems and streaming data (Kafka)Prior experience in leading teams or technical projectsPublications or contributions in AI/ML research (optional but valued)Leadership & Soft SkillsStrong leadership and mentoring capabilitiesExcellent problem-solving and strategic thinkingEffective stakeholder communication and presentation skillsAbility to drive innovation and influence technical decisions Click on Apply to know more. This page is fully interactive when JavaScript is enabled. Please enable JavaScript to apply or browse related roles.