Tieto2

Data Science Lead, Artificial Intelligence/Machine Learning

Bengaluru, KA
Machine Learning Forecasting Classification Regression Text Mining NLP Decision Trees Random Forest Search Algorithms Gradient algorithms LLMs GenAI ANOVA Hypothesis Testing Python Pandas Scikit-learn Seaborn Matplotlib NumPy NLTK MySQL Oracle SQL Server AWS Azure TensorFlow Keras HTML CSS Hugging Face AWS Bedrock Amazon SageMaker AWS Textract Azure AI Studio Azure OpenAI ML Studio Cognitive Service Azure Document Intelligence Vector databases AI Search Pinecone Weaviate
Description

Data Science Lead (AI/ML Lead) -Tietoevry Create (m/f/d)

Location: Bengaluru, KA, in

Company Description

We are developers of digital futures!

Tietoevry is a leading software and digital engineering services company with global market reach and capabilities. We provide customers across different industries with mission-critical solutions through our specialized software businesses* Tietoevry Care, Tietoevry Banking and Tietoevry Industry, as well as our digital engineering business Tietoevry Create. Our 16 000* talented vertical software, design, cloud and AI experts are dedicated to empowering our customers to succeed and innovate with the latest technology.

Tietoevry’s annual revenue for the continuing businesses* is approximately EUR 2 billion. The company’s shares are listed on the NASDAQ exchange in Helsinki and Stockholm, as well as on Oslo Børs.

(www.tietoevry.com)

Job Description

Job Description:

Exp: 8 to 12 years

Location: Bangalore (Hybrid)

Looking for classic AL/ML lead with 8+ years of experience.

Core Skills:

•         Hands-on experience in Machine Learning across both supervised and unsupervised techniques: Forecasting, Classification, Regression, Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Gradient algorithms, etc.

•         Exposure to pre-trained models, LLMs (Large Language Models), and GenAI technologies.

•         Solid foundation in statistical techniques: ANOVA, Hypothesis Testing, Chi-Square tests.

•         Experience managing ML model lifecycle end-to-end in production: from problem framing, data engineering, model development, training, deployment, and improvement of ML projects. MLOps, for monitoring and optimization.

•         Have comprehensive experience in architecting, designing, and developing multiple ML production solutions. Min 5 successful AI/ML project deliveries with tangible business outcomes.

•         Ability to analyze model performance and derive prescriptive ML or business actions from insights.

•         Proficiency in Python and popular analytical libraries: Pandas, Scikit-learn, Seaborn, Matplotlib, NumPy, NLTK etc.

•         Strong understanding of RDBMS technologies: MySQL, Oracle, MS SQL.

•         Expert in NLP techniques.

•         Experience working with AI cloud platforms (Google Cloud/ AWS/ Azure) is required.

•         Familiarity with best practices for benchmarking, validation, and testing AI solutions for production.

•         Expertise in optimizing AI/ML solutions for both accuracy and performance.

•         Engage in pre-sales activities, including solutioning, scoping, estimation, and proposal development for AI/ML and GenAI projects.

•         Providing consulting and advisory services to customer AI/ML

Added Skills:

•         Practical knowledge of Neural Networks / Deep Learning frameworks like TensorFlow, Keras.

•         Familiarity with HTML/CSS for creating simple web interfaces or dashboards.

•         Expert in Azure and AWS AI Services. And open-source models, Hugging Face LLM

•         AWS AI Services: AWS Bedrock, Amazon SageMaker, AWS Textract

•         Azure AI Services: Azure AI Studio, Azure OpenAI, ML Studio, Cognitive Service, Azure Document Intelligence

•         Possess deep knowledge in Text Embedding and Vector databases (AI Search, Pinecone, Weaviate, etc.)

 

 

Additional Information

At Tietoevry, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.

Diversity, equity and inclusion (tietoevry.com)

Tieto2
Tieto2

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