Full Stack Data Scientist Terawe Technologies

5 - 10 years

20 - 35 Lacs

Bengaluru, Kochi

Work from Office

Role Senior/Junior Data Scientist /Senior Software Engineer Educational Qualification:- Bachelor of Technology in Computer Science or related field Years of Experience : 4-10 Years Location:- Bangalore or Kochi ( Both location Work From Office) # of Positions Multiple (includes Junior and Senior Data Scientist Positions) Required Skills: Senior Data Scientist - Out of 7+ total years of Experience, 5+ years of experience as a full-time data scientist, machine learning researcher, or machine learning engineer Junior Data Scientist - Out of 4+ total years of Experience, 2+ years of experience as a full-time data scientist, machine learning researcher, or machine learning engineer Fluency in R, Python, and experience with common data science libraries, such as Pandas, numpy, and scikit-learn Experience using neural networks and/or Deep Learning techniques and relevant Python platforms/APIs such as Tensorflow, PyTorch, and Keras in a production setting Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Experience with NLP (especially sentiment analysis, entity recognition, and use of the SpaCy library) Experience with SQL databases and SQL queries Self-starting, with the interest and passion to contribute in a fast-paced start-up like environment Experience working on or with cloud platforms (AWS, GCP, Azure) Very Good understanding of DevOps Roles and Responsibilities Build, deploy, monitor, and manage Machine Learning models Identify valuable input features and implement a means for calculating them (feature engineering) Investigate, clean, analyze, and otherwise prepare new data sources for use in higher-order analysis or as input into model features Data analysis and presentation using data visualization techniques, sometimes to broader audiences within or outside of Terawe Transition models from research to production, working with Data Engineers Fine-tune model performance in a production setting using adaptive/incremental machine learning techniques Map customer and/or product requirements to correct modeling, analysis, and/or visualization approaches Recommend ways to improve data reliability and quality and implement them Collaborate with Product development team to plan new features

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Accenture Delivery Architectures (ADA) Mount Talent Consulting

5 - 10 years

9 - 19 Lacs

Delhi NCR, Bengaluru, Mumbai (All Areas)

Hybrid

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Accenture Delivery Architectures (ADA) Summary: As an AI Platform Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with Accenture Delivery Architectures (ADA) and implementing deep learning, neural networks, chatbots, and natural language processing technologies. Roles & Responsibilities: 1 Lead architecture, design, cross business area projects and development teams for AI applications 2 Identify and explore the framework, NLP tools, VA platform, architecture, or tech stack can be used to create a solution and the connection between the components - Collaborate with cross-functional teams to ensure seamless integration of AI-based applications and systems. - Stay updated with the latest advancements in AI and machine learning technologies, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: 1 Knowledge of applications using MEAN stack, Angular JS, Nodejs, Python 2 Understanding of UI technologies like HTML, JavaScript, jQuery 3 Hands on experience on VA tools like Microsoft Bot Framework, Google Dialog flow, RASA, Amazon Lex at least 2 4 Knowledge of: Big Data, LAMP Linux, Apache, MySQL, PHP, DevOps, PaaS a: Custom Frameworks, Spring related technologies, UML, OO Design, Spring Boot, Microservice and JEE Archtiecture b: Cloud AWS,Azure,Google c: Artificial intelligence, Machine Professional Attributes : 1 Be a self starter and a fast learner 2 Possess strong problem solving skills with the ability to methodically analyze and resolve tech challenges 3 Possess strong written, verbal,comm,analyitical,tech,inter personal and presentation skills 4 Excellent exp in interaction and handling of clients Educational Qualification: 15years fulltime of Education - Solid grasp of machine learning algorithms and techniques. - Experience with data visualization tools such as Tableau or Power BI. Additional Information: - The candidate should have a minimum of 3 years of experience in Accenture Delivery Architectures (ADA). - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful AI-driven solutions.

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