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8 Luxoft Technology Engineer Jobs
AI/ML Tech Engineer_Pune
Luxoft
posted 28d ago
Job Description
- 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 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. - Nice-to-Have Skills Description:• Knowledge of ML Ops like continuous integration, continuous deployment.
• Knowledge of full stack development.
• Knowledge of databricks,Data Mesh.
• Knowledge of ETL (Extract, Transform, Load) pipeline.
• Familiarity with agile methodologies, such as Scrum or Kanban, and project management tools such as JIRA/GITLAB.
• Experience with frameworks like flask/Django.
• Knowledge of Docker containers.
• Experience in data analytics, feature creation, model selection and ensemble methods, performance metrics and visualization.
• Experience working with large datasets and distributed computing systems.
• Experience in fine-tuning DL models including LLMs, SLMs.
• Knowledge of large language models from OpenAI such as GPT 3.5,GPT 4,Codex etc.
• Experience with Vector Stores and RAG pipelines.
• Proficient with Data-Modelling Tools.
• Proficient with multiple ML deployment strategies including static and dynamic.
• Excellent knowledge of CI, CD Pipelines for ML algorithms,training,prediction pipelines.
• Experience in translating ML-based outcomes to business-digestible insights.
• Excellent communication skills and experience in managing stakeholders at various levels.
Employment Type: Full Time, Permanent
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What Technology Engineer at Luxoft are saying
Technology Engineer salary at Luxoft
reported by
3
employees
with 10-13
years exp.
₹40
L/yr - ₹45
L/yr
459%
more
than the average Technology Engineer Salary in India
View more details
What Luxoft employees are saying about work life
based on 641 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Luxoft Benefits
Submitted by Company
Friendly Environment Global Relocation Luxoft Training Center Recognition and Evaluation Mentoring Program
Submitted by Employees
Health Insurance 
Work From Home 
Soft Skill Training 
International Relocation 
Job Training 
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Luxoft Pune Office Location
Pune, Maharashtra Office
Luxoft India LLP, Upper Ground Floor, Block 1/B, Embassy - Quadron Business Park, Plot no.28, Rajiv Gandhi Info Tech Park - SEZ, Phase II, Hinjewadi, Pune
Pune, Maharashtra
411057
411057
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