Description
& Summary : Data Science
Responsibilities :
- Proficient in programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
- Proficient in Statistical modelling and Machine techniques such as time series forecasting, Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, etc.
- Good exposure to deep learning and associated frameworks (PyTorch, TensorFlow, and Keras).
- Ability to perform preprocessing of structured and unstructured data : Processing, cleansing, and validating the integrity of data to be used for analysis.
- Strong working experience with cloud platforms : build, train, and deploy ML Models on Azure / AWS / GCP.
- Good working knowledge in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.).
- Hand-on experience in the MLOps (Dockerization, REST APIs and the CI / CD / CT processes).
- Adaptation of foundation models / LLMs to address specific business challenges.
- Utilizing version control for maintaining codebase integrity and collaboration, fostering a collaborative and error-free development environment.
- Design, deploy and manage prompt-based models on LLMs for various NLP tasks.
- Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.
- Familiarity with LLM orchestration and agentic AI libraries.
- Good understanding of business and ability to translate domain problems to data science problem.
- Ability to communicate effectively with both technical and non-technical stakeholders.
Mandatory skill sets :
Python, GenAI ,Machine learning, data sciencePreferred skill sets :
Data analysis, SQL, MLOPSYears of experience
required : 1-7 years
Education qualification :
BE / B.Tech / MBA / MCA
Education
Degrees / Field of Study required : Bachelor of Engineering, Master of Engineering, Master of Business AdministrationDegrees / Field of Study preferred :
Certifications
Required Skills
SAP HANA
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more}
Desired Languages
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date