Description
& Summary: A career within….Responsibilities:
● 0 -2 years of experience as AI/ML engineer or similar role.
● · Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
● · Hands-on experience with model development and deployment processes.
● · Proficiency in programming languages such as Python.
● · Experience with data preprocessing, feature engineering, and model evaluation techniques.
● · Familiarity with cloud platforms (e.g., AWS) and containerization (e.g., Docker, Kubernetes).
● · Familiarity with version control systems (e.g., GitHub).
● · Proficiency in data manipulation and analysis using libraries such as NumPy and Pandas.
● · Good to have knowledge of deep learning, ML Ops: Kubeflow, MLFlow, Nextflow.
● · Knowledge on text Analytics, NLP, Gen AI
Mandatory skill sets:
ML Ops, AI / ML
Preferred skill sets:
ML Ops, AI / ML
Years of experience required:
0 - 2
Education qualification:
B.Tech / M.Tech / MBA / MCA
Education
Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Bachelor of TechnologyDegrees/Field of Study preferred:Certifications
Required Skills
Generative AIOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 24 more}Desired Languages
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date