| Data Scientist :: REMOTE - BELOW 8 Years profiles Only at Remote, Remote, USA |
| Email: [email protected] |
| From: Arun kumar, Maintec [email protected] Reply to: [email protected] Hi , We have a position open for our client , please have a look into the job description below and share me your updated resume Job Title : Data Scientist Location : Remote ONLY profiles BELOW 8 Years Needed About the Role: We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will have a strong background in Graph Analytics, deep learning, and proficiency in handling large-scale datasets. You will be working with cutting-edge technologies to derive insights, develop models, and solve complex business problems using advanced data science techniques. This is an excellent opportunity to work on innovative projects and drive impactful decisions in a dynamic environment. Key Responsibilities: Curate large datasets from heterogeneous systems create a analytics ready feature store Develop and apply graph embeddings to model and analyze relationships in graph databases (e.g., Neo4j, TigerGraph) to extract meaningful patterns from connected data. Use graph-based machine learning techniques and knowledge graphs to solve real-world problems. Design, develop, and implement machine learning models and algorithms, with a focus on deep learning architectures (e.g., CNNs, RNNs, transformers). Collaborate with data engineers to design and maintain scalable data pipelines, leveraging technologies such as Apache Spark, Databricks, and distributed computing frameworks. Build and optimize recommendation systems, predictive models, and anomaly detection frameworks, applying state-of-the-art algorithms. Conduct exploratory data analysis, feature engineering, and data transformations to improve model performance. Stay up-to-date with the latest research and innovations in NLP, computer vision, and other AI domains, and apply them to solve business challenges. Work with cloud platforms such as AWS, Azure, or GCP for model deployment, scaling, and management. Communicate findings and model outputs effectively to both technical and non-technical stakeholders through visualizations and reports. Required Qualifications: Bachelor's or Masters degree in Computer Science, Data Science, Applied Mathematics, or a related field. A Ph.D. is a plus. Proven experience (2+ years) working in data science, with a strong focus on deep learning and graph-based data science. Hands-on experience with graph databases (e.g., Neo4j, ArangoDB, Amazon Neptune) and knowledge of graph algorithms (PageRank, shortest path, centrality, etc.). Proficiency in building and tuning deep learning models using TensorFlow, PyTorch, or similar frameworks. Strong programming skills in Python (with libraries such as scikit-learn, pandas, NumPy) and SQL. Experience with embedding techniques (word2vec, node2vec, GloVe, BERT, etc.) and integrating them into graph-based models. Experience with cloud platforms (AWS, Azure, or GCP) and tools such as Kubernetes, Docker, for containerization and model deployment. Familiarity with Big Data technologies like Apache Spark and data querying using SQL, Hive, or Presto. Excellent analytical skills and ability to interpret complex data into actionable insights. Preferred Qualifications: Experience with NLP techniques (transformer-based models, text embeddings). Understanding of MLOps practices for the end-to-end lifecycle of machine learning models (from model development to deployment). Knowledge of Reinforcement Learning, time-series forecasting, and anomaly detection. Familiarity with modern DevOps practices and tools (CI/CD pipelines, Jenkins, Git). Strong communication skills, with experience presenting findings to cross-functional teams and executives. Why Join Us Work in a dynamic, fast-paced environment on cutting-edge AI and data science projects. Opportunity to collaborate with top-tier professionals in the field of AI, deep learning, and graph databases. Competitive salary, benefits package, and opportunities for career growth. Flexible work environment with options for remote work. Thank You & Regards, Arun Kumar / Lead US IT Recruiter Keywords: continuous integration continuous deployment artificial intelligence information technology Data Scientist :: REMOTE - BELOW 8 Years profiles Only [email protected] |
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| Tue Oct 22 18:42:00 UTC 2024 |