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Merck

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4.2

based on 311 Reviews

Video summary

141 Merck Jobs

Engineer - AI Solutions

Merck Ltd

4.2

based on 311 Reviews

1-5 years

Bangalore / Bengaluru

1 vacancy

Engineer - AI Solutions

Merck

posted 22d ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science SQL Machine Learning Procurement Analytical Chemistry HTML

+ 4 more

Job Description

Title:Engineer - AI SolutionsLocation:BangaloreThe Engineer AI Solutions at GES will play a crucial role in developing and implementing our AI GenAI strategies
Your responsibilities will involve refining AI models, understanding our business needs, and creating AI applications that align with our organizational goals
If you re passionate about cutting-edge technology and have a strong background in machine learning, deep learning, generative AI and predictive modelling, we encourage you to apply! Who you are:Education: Bachelors or masters degree in computer science, data science or a related field
Proficiency in English (Verbal, Written) Professional Skills, Qualifications and Experience Primary Skills: Proven experience 1-3 years as an AI, GenAI and Machine learning engineer, Data Scientist or similar roleStrong knowledge of PythonStrong Background in statistical analysis and predictive modelling, ML concepts and NLP
Experienced with RESTful APIs and their integration
Working knowledge of Generative AI and its use in structured unstructured data handlingExposure to AWS cloud-based AI solution development (Sagemaker, EC2, Lambda, CFTs/Terraform, ECS, S3 data handling etc) or Azure (ML Studio, Azure SQL, Data Factory, Azure Cognitive Services, Azure Data Lake)Working knowledge of at least one big data packages like Spark, Hadoop or Google Cloud BigQuery and Familiarity with big data platforms and tools (AWS, Snowflake, Palantir Foundry, Databricks etc
)Familiarity with at least one version control systems (Git, GitHub, GitLab, SVN or CVS, etc)
Familiarity with Deploying machine learning models in cloud environments (AWS or Azure) using containers (Docker) or virtual machines (VMs) for training, deployment, and scaling deployment
Knowledge of frontend technologies, including HTML or frameworks like Django
Secondary Skills:Analytical Thinking: Ability to identify business problems that can be addressed through AI solutions
Collaboration: Work effectively with cross-functional teams within large and matrixed organisationsInnovation: Stay curious and explore new AI techniquesConsulting Customer centric mindset
Experience in developing solutions for GBS domains ( IT, Finance, Procurement, HR) Job Description/ Key Responsibilities: Design and Develop AI Systems:Create/Choose and maintain robust and scalable AI models and algorithms
Collaborate closely with data scientists, data analysts, and other team members to ensure accurate data collection and analysisApply machine learning and data mining techniques to large datasets, uncovering valuable patterns and insightsTesting and
Validation:Test and validate AI models to ensure accuracy, reliability, and performance
Fine-tune models based on test resultsStay updated with the latest developments in AI and incorporate new techniques and technologies
Effective Communication:Clearly communicate complex AI concepts and analysis results to stakeholdersDocument AI processes and procedures for future reference and improvements
Continuous Learning and Adaptation:Keep abreast of advancements in the field of AI and machine learning
Identify opportunities to leverage company data for business solutions
Prototyping and Rapid development: Working alongside other MBS teams, develop quick prototypes, Proof-of-concepts and Minimum-viable-products for the AI Solutions Support teams that industrialize these solutions