AI-ML Tech Engineer

Hi,

Greeting from Luxoft…!!!

Please go through company profile(https://www.luxoft.com/)

Currently we have an Opening for AI-ML Tech Engineer

Experience: 8+yrs

Location: Pune, Hyderabad, Mumbai (work from office (3 days a week min))

Notice Period- Priority for people with less than 30 days of NP.

Project Description:
We are seeking a AI-ML Tech Engineer who has a minimum of 8+ years of strong background in machine learning, data science, and software engineering.
As a Machine Learning Engineer, you will develop and deploy machine learning models, work with large datasets, and collaborate with cross-functional teams to solve real-world problems.

Responsibilities:
• Develop and implement machine learning and natural language processing (NLP) solutions using common ML libraries and frameworks.
• Leverage proficiency in Python and experience with ML toolkits such as TensorFlow, PyTorch, Keras, and Scikit Learn to develop and optimize models.
• Utilize theoretical understanding of statistical models (regression, clustering) and machine learning algorithms (decision trees, Random Forests, neural networks) to create robust predictive models.
• Apply a strong understanding of cloud computing and AI services to deploy and manage ML models in cloud environments.
• Ensure successful deployment of AI/ML models in production environments, maintaining model performance and reliability.
• Perform data analytics, feature creation, model selection, and use ensemble methods to enhance model accuracy and performance.
• Work with large datasets and distributed computing systems to train and deploy scalable ML models.
• Fine-tune deep learning models, including large language models (LLMs) and small language models (SLMs), ensuring optimal performance for specific tasks.
• Apply knowledge of large language models from OpenAI (such as GPT-3.5, GPT-4, Codex) in relevant projects.
• Utilize vector stores and Retrieval-Augmented Generation (RAG) pipelines in developing and optimizing models.
• Use data modeling tools proficiently to structure and analyze data for ML model training and deployment.
• Implement multiple ML deployment strategies, both static and dynamic, ensuring models are integrated effectively into production systems.
• Maintain and optimize continuous integration (CI) and continuous deployment (CD) pipelines for ML algorithms, training, and prediction pipelines.
• Translate ML-based outcomes into actionable business insights that stakeholders can easily understand and act upon.
• Communicate effectively with stakeholders at various levels, providing updates on project progress, insights, and outcomes.

Mandatory Skills:

• Keras
• Natural Language Processing(NLP)
• Python
• PyTorch
• TensorFlow

Mandatory Skills Description:

• Minimum of 8+ years of strong background in machine learning, data science, and software engineering.
• Proficient in building ML (Machine Learning) & NLP (Natural Language Processing) solutions using common ML libraries and frameworks.
• Proficient with Python language and worked on various ML toolkits like TensorFlow, PyTorch, Keras,Scikit Learn.
• Theoretical understanding of statistical models such as regression, clustering, and ML algorithms such as decision trees, Random Forests, neural networks, etc.
• Strong understanding of cloud computing and cloud AI services.
• Experience in deploying AI/ML models in production environments.

If you are interested in the Position, please do share your updated profile with the below details on (Priyambada.dash@dxc.com)

Current company:

Total exp

Relevant Exp:

Current CTC:

Expected CTC:

NP:

Holding Offer if share the value:

Reason for looking for change:

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Available timing for Discussion on weekdays/weekend:

NOTE: Please let us know your available timing to call and take it ahead your candidature and you can also refer your friends as we have multiple positions.

Thanks and Regards

Priyambada Dash

ResearcherTalent Acquisition

M: +91-8114348358

About us: https://www.luxoft.com

Explore: https://career.luxoft.com