Senior Scientist Jobs

Role Overview Were hiring a Senior Data Scientist who can own end-to-end problem solving-from business discovery and hypothesis design to model deployment and post-production monitoring. You will partner with product, engineering, and client stakeholders to build production-grade ML/AI and GenAI solutions on AWS/Azure/GCP and mentor a small pod (2-5) of data scientists/ML engineers. Key Responsibilities Business & Problem Framing: Engage with client stakeholders to translate objectives into measurable DS/ML use cases, define success metrics (ROI, adoption, accuracy, latency), and create experiment plans. Data Strategy & Feature Engineering: Own data acquisition, quality checks, EDA, and feature pipelines across SQL/Spark/Databricks; collaborate with Data Engineering for robust ingestion and transformation (Airflow/dbt). Modeling: Build, tune, and compare models for supervised/unsupervised learning, time-series forecasting, NLP/CV, and GenAI (RAG, fine-tuning, prompt-engineering) using Python (pandas, NumPy, scikit-learn, XGBoost/LightGBM), PyTorch/TensorFlow, Hugging Face. MLOps & Deployment: Productionize via MLflow/DVC, model registry, CI/CD (GitHub/GitLab), containers (Docker/Kubernetes), and cloud ML platforms (SageMaker/Azure ML/Vertex AI). Expose services via FastAPI/Flask; implement monitoring for drift, data quality, and model performance. Experimentation & Causality: Design and analyze A/B tests, apply causal inference techniques (e.g., propensity scoring, DiD) to measure true impact. Explain ability, Fairness & Compliance: Apply model cards, SHAP/LIME, bias checks, PII handling, anonymization/pseudonymization, and align with applicable data privacy regulations (e.g., GDPR/DPDP). Visualization & Storytelling: Build insights dashboards (Tableau/Power BI/Plotly) and communicate recommendations to senior business and technical stakeholders. Collaboration & Leadership: Mentor juniors, conduct code and research reviews, contribute to standards, and support solutioning during pre-sales/POCs. Required Skills & Experience Experience: 7-10 years overall, with 5+ years in applied ML/Data Science delivering models to production for enterprise clients. Programming & Data: Expert Python, advanced SQL, and hands-on with Spark/Databricks. Strong software practices (testing, typing, packaging). ML/AI Stack: scikit-learn, XGBoost/LightGBM; PyTorch or TensorFlow; NLP (spaCy, Transformers, embeddings), vector DBs (FAISS/Pinecone), LangChain/LlamaIndex for RAG. Cloud & MLOps: Real-world deployments on AWS/Azure/GCP using SageMaker/Azure ML/Vertex AI; MLflow, model registry, feature store, Docker/K8s, and CI/CD. Experimentation & Analytics: A/B testing, Bayesian/ frequentist methods, causal inference, statistical rigor. Visualization & Communication: Storytelling with data; Tableau/Power BI/Plotly, executive-ready presentations. Domain Exposure (nice-to-have): BFSI risk/collections/CLV, retail demand/personalization, healthcare claims/clinical NLP, manufacturing quality/predictive maintenance. Bonus: Recommenders, time-series, graph ML, optimization (OR), reinforcement learning, geospatial analytics. Education & Certifications Bachelors/Masters in Computer Science, Data Science, Statistics, Applied Math, or related field. Preferred certifications: AWS/Azure/GCP ML, Databricks, TensorFlow or PyTorch.

Veltris is a Digital Product Engineering Services partner committed to driving technology-enabled transformation across enterprises, businesses, and industries. We specialize in delivering next-generation solutions for sectors including healthcare, technology, communications, manufacturing, and finance. With a focus on innovation and acceleration, Veltris empowers clients to build, modernize, and scale intelligent products that deliver connected, AI-powered experiences. Our experience-centric approach, agile methodologies, and exceptional talent enable us to streamline product development, maximize platform ROI, and drive meaningful business outcomes across both digital and physical ecosystems. In a strategic move to strengthen our healthcare offerings and expand industry capabilities, Veltris has acquired BPK Technologies. This acquisition enhances our domain expertise, broadens our go-to-market strategy, and positions us to deliver even greater value to enterprise and mid-market clients in healthcare and beyond. Position: Senior Data ScientistResponsibilities: Design predictive models for trajectory forecasting, traffic participants behavior, and crossing probabilities. Develop risk scoring mechanisms using time-shifted risk prediction and sliding time windows. Implement multi-agent reinforcement learning (MARL) frameworks to simulate and train cooperative behaviors. Work with simulation teams to integrate ground truth scenarios and replayable datasets. Build scoring algorithms for different data dimensions based on the severity and impact. Evaluate model performance using precision, recall, and event-level accuracy. Collaborate with data engineers to define feature pipelines and streaming inputs.Requirements:5+ years of experience in applied data science, preferably in real-time or simulation-based environments.Strong proficiency in Python, NumPy, Pandas, and deep learning frameworks like PyTorch or TensorFlow.Experience with time-series analysis, Bayesian models, or probabilistic forecasting.Understanding of reinforcement learning, especially in multi-agent settings.Knowledge of vehicle kinematics, trajectory forecasting, or intelligent transportation systems.Disclaimer: The information provided herein is for general informational purposes only and reflects the current strategic direction and service offerings of Veltris. While we strive for accuracy, Veltris makes no representations or warranties regarding the completeness, reliability, or suitability of the information for any specific purpose. Any statements related to business growth, acquisitions, or future plans, including the acquisition of BPK Technologies, are subject to change without notice and do not constitute a binding commitment. Veltris reserves the right to modify its strategies, services, or business relationships at its sole discretion. For the most up-to-date and detailed information, please contact Veltris directly.

Position: Senior Data Scientist (Deep Learning, GraphQL)US$24 - 36 K/Year (Annual salary); Longterm (Duration)Work location: Onsite Pune, Maharashtra, IndiaAbout the Role:We are seeking a talented Senior Data Scientist to join our team and contribute to the development of cutting-edge AI solutions. The ideal candidate will have a strong background in computer vision, GraphQL, and graphical neural networks. You will be responsible for designing, developing, and deploying innovative data-driven solutions to solve complex problems.Requirements- 5 to 8 years of strong professional experience working on Machine Learning for PoC as well as Production with International Clients- Bachelors degree, Master's degree or PhD in Computer Science, Data Science, or a related field.- Strong programming skills in Python, with experience in libraries like TensorFlow, PyTorch, OpenCV, and GraphQL.- Deep understanding of computer vision algorithms and techniques (e.g., object detection, image segmentation, image generation).- Experience with graphical neural networks (GNNs) and their applications.- Proficiency in machine learning algorithms and techniques (e.g., regression, classification, clustering).- Experience with GraphQL API development and GraphQL schema design, Neo4J etc.- Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus.- Excellent problem-solving, analytical, and communication skills.Preferred Skills:- Experience with deep learning frameworks like TensorFlow or PyTorch.- Knowledge of reinforcement learning and generative models.- Familiarity with cloud-based machine learning platforms and GraphQL-specific tools.For detail and to apply, click herehttps://optimhire.com/developers/jv/241794?ref_code=ahmad-fakar

Assisting in all the research process like manuscript narration ,thesis writing, survey and reviewing