Artificial Intelligence Solution Manager - R/Python

Job Description : We are seeking an experienced and visionary AI Solutions Manager to lead the design, development, and deployment of enterprise-grade Artificial Intelligence and Machine Learning (AI/ML) solutions. In this cross-functional leadership role, you will work at the intersection of data science, software engineering, and business strategy to deliver intelligent, scalable products and services that solve complex business challenges. As a key player in our digital transformation initiatives, youll manage solution architecture, lead cross-functional teams, and ensure the success of AI projects from concept to production. Key Responsibilities : - Lead the end-to-end lifecycle of AI/ML projects including ideation, solution design, PoC, development, deployment, and monitoring. - Collaborate with business stakeholders to identify opportunities where AI can deliver measurable business value. - Architect scalable and robust AI/ML solutions using cloud-native technologies. - Oversee data acquisition, preparation, feature engineering, and model development in coordination with data scientists and engineers. - Ensure MLOps best practices for model deployment, versioning, CI/CD pipelines, and continuous model monitoring. - Translate complex technical concepts into business-friendly language for executive leadership. - Stay current on industry trends and emerging AI technologies to inform strategy. - Manage vendor relationships, partnerships, and third-party AI tools when needed. - Lead and mentor data science and engineering teams in agile Skills & Tools : AI/ML Technologies : - Machine Learning : Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, Hugging Face Deep Learning : CNNs, RNNs, LSTMs, GANs, BERT/GPT NLP/NLU : SpaCy, NLTK, OpenAI APIs, LLM fine-tuning, RAG Computer Vision : OpenCV, YOLO, Detectron2, Vision Transformers MLOps & Deployment : - Model serving : TensorFlow Serving, TorchServe, ONNX, Triton Inference MLOps tools : MLflow, Kubeflow, Airflow, DVC - CI/CD pipelines for ML : Jenkins, GitHub Actions, GitLab CI - Containerization : Docker, orchestration with Kubernetes Data Engineering : - Data wrangling with Pandas, ETL/ELT : Apache Airflow, dbt - Big data tools : Hadoop, Spark, Kafka Cloud & Infrastructure : - Cloud Platforms : AWS (SageMaker, S3, Lambda), Azure ML, Google Vertex AI - Data Lakes : AWS Glue, Azure Data Lake, Google Infrastructure-as-Code : Terraform, : Python (primary), R (optional), SQL, Bash, JSON/YAML Required Qualifications : - Bachelor's or Masters degree in Computer Science, Data Science, AI, or related field - 10 years of experience in technology with at least 45 years in applied AI/ML roles - Proven experience managing full-lifecycle AI projects from ideation to production - Experience integrating AI solutions into enterprise systems (ERP/CRM/workflows) - Strong understanding of business processes, KPIs, and AI-driven Qualifications : - Experience in a specific domain such as banking, healthcare, manufacturing, or retail - Familiarity with Generative AI (OpenAI, LLMs, custom GPTs, vector databases) - Certification in AI/ML (AWS Machine Learning Specialty, Google Professional ML Engineer, etc.) - Experience leading multi-disciplinary teams in Agile/Scrum setups - Published papers or open-source contributions in AI/ML space Soft Skills : - Strategic thinking and business acumen - Strong communication, stakeholder management, and presentation skills - Team leadership and mentoring capabilities - Ability to translate research into real-world, production-ready solutions Why Join Us? - Be a key leader in shaping AI-first products for the next generation of intelligent business solutions. - Work with cutting-edge technologies in a fast-paced, innovation-driven environment. - Collaborate with domain experts, engineers, and business leaders to make real-world impact. - Competitive compensation, flexible work, and continuous learning opportunities (ref:hirist.tech)

Location: mumbai, IN

Posted Date: 5/1/2025