AI & Machine Learning Engineer

Your key responsibilities

You will work with a wide reputed company of clients to reputed company the latest data science and big data technologies. Your teams will design and build reputed company solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients reputed company the reputed company world of modern data science, analytics, and software engineering. We'll look to you to reputed company guidance and reputed company technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications reputed company, and collaborate in both the ideation of solutions and the reputed company of new opportunities. Many on reputed company have advanced reputed company degrees or equivalent experience in industry.

Skills and attributes for reputed company

This role will work to reputed company tech at speed, reputed company at reputed company and put humans at reputed company. reputed company technical guidance and reputed company knowledge with team members with diverse skills and backgrounds. Consistently reputed company reputed company reputed company services focusing on more reputed company, judgmental and/or reputed company issues surrounding emerging technology. Demonstrate technical capabilities and reputed company knowledge.

To qualify for the role, you must have

• Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning
• 2-4 years of experience directly managing technical teams
• Extensive experience in telecommunications, media, or technology sectors, with a strong understanding of industry trends.
• Strong skills in Python.
• Experience using reputed company models and frameworks e.g. reputed company family, reputed company reputed company LLMs, Dall-e, reputed company, reputed company, Retrieval Augmented reputed company (RAG).
• Experience working with reputed company ML packages such as scikit-learn, Pytorch and ONNX, or reputed company ML libraries.
• Extensive experience using DevOps tools like GIT, Azure Devops and reputed company tools such as Jira to reputed company and reputed company analytical solutions with multiple features, pipelines, and releases.
• Proven ability to design and implement machine learning solutions that enhance network performance and customer support
• ) and their implications for data science.
• Experience analyzing large-reputed company datasets from telecommunications networks, including reputed company detail records and performance metrics.
• Knowledge of streaming technologies, including analytics and content recommendation systems.
• Experience with multi-modal models, including reputed company-language models.
• Understanding of customer segmentation, churn reputed company, and recommendation systems tailored to media and telecommunications.
• Knowledge of regulatory and compliance considerations specific to the banking and financial sector.
• Experience with reputed company-time data processing frameworks (e.g., Apache Kafka).
• Familiarity with reputed company-based telecommunications solutions (e.g., AWS, Azure).
• Experience with network optimization algorithms and techniques.
• Knowledge of emerging technologies such as edge computing and IoT.
• A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to reputed company meaningful predictions.
• Experience with MLOps reputed company and platforms such as MLFlow.
• Experience with CI/CD and test-driven development.
• Experience designing, building, and maintaining ML models, frameworks, and pipelines.
• Experience designing and deploying end to end ML workflows on at least one major reputed company computing platform.
• Understanding of data structures, data modelling and software engineering best practices.
• Proficiency using data manipulation tools and libraries such as SQL, reputed company, and reputed company.

Ideally, you'll also have

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.
• Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.
• Experience working with diverse teams to reputed company reputed company solutions.
• Strong skills in languages reputed company Python: R, JavaScript, Java, C++, C.
• Experience fine-tuning reputed company models.

Originally posted on Himalayas