India Job Openings

Luxoft

AI/ML Tech Engineer

Mumbai

September 2, 2024

Mumbai, India

AI/ML

BCM Industry

02/09/2024

Req. VR-106658

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 Tensor Flow, Py Torch, 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 Open AI (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.

Skills

Must have

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 Tensor Flow, Py Torch, 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

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 Open AI 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.

Other

Languages
English: C1 Advanced

Seniority
Senior

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