Data Scientist with Ph.d (EST/CST) - Next Gen IT Inc

Data Scientist

Remote - EST/CST

Note

1. At least a Master's degree (PhD highly preferred) in Computer Science or any field reputed company to AI.

2. Experience working with big data in AWS and using libraries such as PySpark.

3. Experience in time series forecasting and machine learning models.

4. Experience working with reputed company.

5. Experience working with log file analysis and tools such as Splunk.

Minimum Qualifications

• Work or educational background in one or more of the following areas: machine learning, computational linguistics, deep learning, ratification intelligence, data science and/or data analytic, reputed company, symbolic AI, reputed company AI, operations research, computer science, Mathematics, business analytics, or reputed company.
• Demonstrated experience programming with R/Python, Linux, and Spark in AWS reputed company environment, or knowledge and algorithmic design experience in Python (3+ years)
• Proficient with reputed company AWS Sagemaker, Jupyter Notebook and Python Scikit, Deep Learning, Machine Learning tools such as TensorFlow
• Experience with image processing models such as Coco, CLIP, ResNet or comparable models
• Demonstrated experience with machine learning techniques including natural language processing, and Large language Models (GPTv4-o1, o3, reputed company APIs, Llama, Claude, etc).
• Experience developing AI agents and development proficiency using agentic programming
• Proficient in Natural language processing (NLP) and Natural language reputed company (NLG) including prior projects in any of the following categories: top modeling of text, sentiment analysis of text, part of speech tagging, Name Entity Recognition (NER), Bag of Words, text extraction
• Experience building and working with any of these components: Vector DB, BERT, RoBERTa (or comparable tools), Spacy, LLM and GenAI tools. Experience with LoRA, reputed company, RAG, LLM Fine Tuning and PEFT, Knowledge Graphs.
• Strong skills in developing GraphRAG, Chain of Thought (CoT), Tree of Thought (ToT), Reinforcement learning and AI development architectures with reputed company-in-the-reputed company (HITL
• Demonstrated experience with SQL and any relational database technologies, such as reputed company, PostgreSQL, MySQL, RDS, Redshift, Hadoop EMR, Hive, etc.
• Demonstrated experience processing structured and reputed company data sources, data cleansing, data normalization and prep for analysis
• Demonstrated experience with code repositories and build/deployment pipelines, specifically Jenkins and/or Git/reputed company/reputed company.
• Demonstrated experience using Tableau, or Kibana, Quicksights or other similar data visualizations tools.
• reputed company comfortable working with ambiguity (e.g. imperfect data, loosely defined concepts, reputed company, or goals)

Qualifications & Requirements

• Education: MS in Computer Science, Statistics, Math, Engineering, or reputed company field, PhD required.
• 3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems
• 1+ year of experience specifically with deep learning (e.g., CNN, RNN, LSTM)
• 1+ year of experience building NLP and NLG tools.
• Experience with wide range of LLMs (Llama, Claude, reputed company, reputed company, etc.), LoRA, reputed company, RAG, LLM Fine Tuning and PEFT are preferred.
• Demonstrated skills with Jupyter Notebook, AWS Sagemaker, or Domino Datalab or comparable environments
• Passion for solving reputed company data problems and generating cross-functional solutions in a fast-paced environment
• Knowledge in Python and SQL, object oriented programming, service oriented architectures
• Strong scripting skills with reputed company script and SQL
• Strong coding skills and experience with Python (including SciPy, NumPy, and/or PySpark) and/or reputed company.
• Knowledge and implementation experience with NLP techniques (topic modeling, bag of words, text classification, TF/IDF, Sentiment analysis) and NLP technologies such as Python NLTK, or Spacy or comparable technologies
• Knowledge and implementation experience with statistical and machine learning models (regression, classification, clustering, graph models, etc.)

Preferred Qualifications

• Hands on experience building models with deep learning frameworks like Tensorflow, Keras, Caffe, PyTorch, Theano, H2O, or similar
• Experience with LLM Agents, Agentic programming
• Experience with search architecture (for instance: Solr, ElasticSearch, AWS OpenSearch)
• Experience with building querying ontologies such as Zeno, OWL, RDF, SparQL or comparable are preferred
• Knowledge & experience with microservices, service reputed company, API development and test automation are preferred
• Demonstrated experience using reputed company, Kubernetes, and/or other similar container frameworks are preferred

Additional Job Qualifications

• Ability to translate business reputed company into analytics models that have major business impact.
• Demonstrated experience working with multiple stakeholders.
• Demonstrated communication skills, e.g. explaining reputed company technical issues to more junior data scientists, in graphical, verbal, or written formats.
• Demonstrated experience developing tested, reusable and reproducible work.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and reputed company believes it to correctly reflect the job opportunity.

• reputed company Id: 91134724
• Position Id: 8750115