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DataZymes Reviews by Employees

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About Us : We empower the Pharma industry with our innovative products. The idea of DataZymes germinated with the realization that Pharma Commercial teams had few alternatives to the antiquated and inefficient solutions offered by traditional consulting and technology companies. Already a laggard in analytical maturity, the Pharma industry had been facing challenges to adapt to a Big Data world. We saw that the products offered by technology companies were too rigid and generic to handle novel problems. The custom solutions offered by consulting organizations took too long to deploy and required many services to maintain and improve. We felt the need for a different approach to finding solutions and we knew it would take a different kind of company to build it. That's why DataZymes. We're focused on creating the world's best user experience for working with data, one that empowers people to ask and answer complex questions without requiring them to master querying languages, statistical modeling, or the command line. To achieve this, we are building platforms for integrating, managing, and securing data on top of which we layer applications for fully interactive machine-driven, human-assisted analysis. Responsibilities : - Design and implement data pipelines using AWS services such as S3, Glue, PySpark and EMR. - Develop and maintain data processing and transformation scripts using Python and SQL. - Optimize data storage and retrieval using AWS database services such as RDS, Redshift and DynamoDB. - Build different types of data warehousing layers based on specific use cases. - Utilize expertise in SQL and have a strong understanding of ETL and data modelling. - Ensure the accuracy and availability of data to customers and understand how technical decisions can impact their businesss analytics and reporting. - Experience with AWS cloud and AWS services such as S3 Buckets, Glue Studio, Redshift, Athena, Lambda, and SQS queues Qualifications : - Bachelors or masters degree in computer science, Information Technology - Experience with batch job scheduling and identifying data/job dependencies. Preferred Skills : - Proficiency in data warehousing, ETL, and big data processing. - Familiarity with the Pharma domain is a plus.

Bangalore

DataZymes - AWS Data Engineer - Python/ETL (4-6 yrs)

Job Summary : We are looking for a skilled AI/ML Engineer with 3-5 years of experience in building and deploying scalable machine learning and Generative AI solutions. The ideal candidate should have a strong foundation in core AI/ML concepts, deep learning, NLP, and experience with Generative AI frameworks. Who We Are Looking For : An enthusiastic self-starter who will work with minimal guidance, has strong Python programming skills, and hands-on experience deploying end-to-end AI/ML solutions. A first-principle understanding of databases, deep learning and LLMs is also required. Required Skills and Qualifications : 1. 3+ years of work experience in Python programming for AI/ML, deep learning, and Generative AI model development 2. Proficiency in TensorFlow/PyTorch, Hugging Face Transformers and Langchain libraries 3. Hands-on experience with NLP, LLM prompt design and fine-tuning, embeddings, vector databases and agentic frameworks 4. Strong understanding of ML algorithms, probability and optimization techniques 5. 6+ years of experience in deploying models with Docker, Kubernetes, and cloud services (AWS Bedrock, SageMaker, GCP Vertex AI) through APIs, and using MLOps and CI/CD pipelines 6. Familiarity with retrieval-augmented generation (RAG), cache-augmented generation (CAG), retrieval-integrated generation (RIG), low-rank adaptation (LoRA) fine-tuning 7. Ability to write scalable, production-ready ML code and optimized model inference 8. Experience with developing ML pipelines for text classification, summarization and chat agents 9. Prior experience with SQL and noSQL databases, and Snowflake/Databricks. What You Will Be Doing : As an AI/ML Engineer in the AI center of excellence (COE) at DataZymes, you will be developing and maintaining end-to-end AI solutions to business problems. Key responsibilities are listed below: 1. Design, develop, and deploy AI/ML models for various applications, including NLP and structured data 2. Implement, prompt, fine-tune, and optimize Generative AI models, such as LLMs and diffusion models 3. Develop and maintain data pipelines, feature engineering workflows, and model training infrastructure 4. Work with large-scale datasets, ensuring data quality and pre-processing for training and inference 5. Optimize model performance, reducing latency, and improving efficiency for real-time AI applications 6. Deploy models using MLOps best practices on cloud platforms (AWS, GCP) 7. Collaborate with cross-functional teams, including data engineers, software developers, and product managers to develop AI solutions to business problems 8. Implement responsible AI practices, ensuring fairness, interpretability, and ethical AI adoption. About DataZymesAI The idea of DataZymesAI germinated with the realization that pharma commercial teams had few alternatives to the antiquated and inefficient solutions offered by traditional consulting and technology companies. We're focused on creating the best user experience for working with data, one that empowers people to ask and answer complex questions without requiring them to master querying languages, statistical modelling, or the command line. To achieve this, we are building platforms for integrating, managing, and securing data on top of which we layer applications for fully interactive machine-driven, human-assisted analysis.

Artificial Intelligence/Machine Learning Engineer - NLP/Deep Learning (3-5 yrs)

Job Summary : We are looking for a skilled AI/ML Engineer with 5-7 years of experience in building and deploying scalable machine learning and Generative AI solutions. The ideal candidate should have a strong foundation in core AI/ML concepts, deep learning, NLP, and experience with Generative AI frameworks. Who We Are Looking For : An enthusiastic self-starter who will work with minimal guidance, has strong Python programming skills, and hands-on experience deploying end-to-end AI/ML solutions. A first-principle understanding of databases, deep learning and LLMs is also required. Required Skills and Qualifications : - 3+ years of work experience in Python programming for AI/ML, deep learning, and Generative AI model development. - Proficiency in TensorFlow/PyTorch, Hugging Face Transformers and Langchain libraries. - Hands-on experience with NLP, LLM prompt design and fine-tuning, embeddings, vector databases and agentic frameworks. - Strong understanding of ML algorithms, probability and optimization techniques. - 6+ years of experience in deploying models with Docker, Kubernetes, and cloud services (AWS Bedrock, SageMaker, GCP Vertex AI) through APIs, and using MLOps and CI/CD pipelines. - Familiarity with retrieval-augmented generation (RAG), cache-augmented generation (CAG), retrieval-integrated generation (RIG), low-rank adaptation (LoRA) fine-tuning. - Ability to write scalable, production-ready ML code and optimized model inference. - Experience with developing ML pipelines for text classification, summarization and chat agents. - Prior experience with SQL and noSQL databases, and Snowflake/Databricks. What You Will Be Doing : As an AI/ML Engineer in the AI center of excellence (COE) at DataZymes, you will be developing and maintaining end-to-end AI solutions to business problems. Key responsibilities are listed below : - Design, develop, and deploy AI/ML models for various applications, including NLP and structured data. - Implement, prompt, fine-tune, and optimize Generative AI models, such as LLMs and diffusion models. - Develop and maintain data pipelines, feature engineering workflows, and model training infrastructure. - Work with large-scale datasets, ensuring data quality and pre-processing for training and inference. - Optimize model performance, reducing latency, and improving efficiency for real-time AI applications. - Deploy models using MLOps best practices on cloud platforms (AWS, GCP). - Collaborate with cross-functional teams, including data engineers, software developers, and product managers to develop AI solutions to business problems. - Implement responsible AI practices, ensuring fairness, interpretability, and ethical AI adoption.

DataZymes - AI/ML Engineer - MLP/Generative AI (5-7 yrs)

ABOUT US : Founded in 2016, DataZymes is a next-generation analytics and data science company driving technology and digital-led innovation for our clients, thus helping them get more value from their data and analytics investments. Our platforms are built on best-of-breed technologies, thus protecting current investments while providing clients more bang for their buck. As we are a premier partner for many Business Intelligence and Information Management companies, we also provide advisory and consulting services to clients helping them make the right decisions and put together a long-term roadmap. Our mission at DataZymes is to scale analytics and enable healthcare organizations in achieving non-linear, long term and sustainable growth. In a short span, we have built a high-performance team in focused practice areas, built digital-enabled solutions, and are working with some marquee names in the US healthcare industry. JOB LOCATION : Bangalore. QUALIFICATION REQUIRED : B.Tech/B.E from reputed institutes. EXPERIENCE REQUIRED : 3-5 years hands on experience implementing dashboarding, data visualizations, and analytics using Power BI. EMPLOYMENT TYPE : Full-Time. ROLES AND RESPONSIBILITIES : The candidate should have a minimum of 3 years of working experience with the following skills : - Strong knowledge of SQL, Data virtualisation, Data modelling, etc. - Strong knowledge of Data warehousing concepts. - Studying, analysing, and understanding business requirements in the context of business intelligence. - Designing and mapping data models to transform raw data into meaningful insights. - Utilising Power BI to build interactive and visually appealing dashboards and reports. - Leading the design and development of advanced Power BI reports and dashboards. - Understanding data modelling and DAX calculations. - Collaborating with stakeholders to define data requirements. - Ensuring data security and compliance. - Troubleshooting and optimising Power BI solutions. - Good exposure to Microsoft Fabric Platform. - Experience with Power Apps, including building and managing Canvas apps. - Experience with Power Automate, including integrating flows into Power BI and automation. COMPETENCIES : - Communicating with Influence : Strong interpersonal skills, with an ability to take people along. - Analysis & Problem solving : Capitalizes on opportunities to pursue value. - Brings issues out in open so that all concern can address and find solution. - Professional Expertise Development : Has an open and learning mindset. - Adapts to new learning approaches and methods.

DataZymes - Power BI Developer - Data Visualization (3-5 yrs)

Job Summary : We are looking for a skilled AI/ML Engineer with 4-6 years of experience in building and deploying scalable machine learning and Generative AI solutions. The ideal candidate should have a strong foundation in core AI/ML concepts, deep learning, NLP, and experience with Generative AI frameworks Who We Are Looking For : An enthusiastic self-starter who will work with minimal guidance, has strong Python programming skills, and hands-on experience deploying end-to-end AI/ML solutions. A first-principle understanding of databases, deep learning and LLMs is also required. Required Skills and Qualification : 1. 3+ years of work experience in Python programming for AI/ML, deep learning, and Generative AI model development 2. Proficiency in TensorFlow/PyTorch, Hugging Face Transformers and Langchain libraries 3. Hands-on experience with NLP, LLM prompt design and fine-tuning, embeddings, vectordatabases and agentic frameworks 4. Strong understanding of ML algorithms, probability and optimization techniques 5. 6+ years of experience in deploying models with Docker, Kubernetes, and cloud services (AWS Bedrock, SageMaker, GCP Vertex AI) through APIs, and using MLOps and CI/CD pipelines 6. Familiarity with retrieval-augmented generation (RAG), cache-augmented generation (CAG),retrieval-integrated generation (RIG), low-rank adaptation (LoRA) fine-tuning 7. Ability to write scalable, production-ready ML code and optimized model inference 8. Experience with developing ML pipelines for text classification, summarization and chat agents 9. Prior experience with SQL and noSQL databases, and Snowflake/Databrick What You Will Be Doing : As an AI/ML Engineer in the AI center of excellence (COE) at DataZymes, you will be developing and maintaining end-to-end AI solutions to business problems. Key responsibilities are listed below : 1. Design, develop, and deploy AI/ML models for various applications, including NLP andstructured data 2. Implement, prompt, fine-tune, and optimize Generative AI models, such as LLMs and diffusion models 3. Develop and maintain data pipelines, feature engineering workflows, and model traininginfrastructure 4. Work with large-scale datasets, ensuring data quality and pre-processing for training andinference 5. Optimize model performance, reducing latency, and improving efficiency for real-time AIapplications 6. Deploy models using MLOps best practices on cloud platforms (AWS, GCP) 7. Collaborate with cross-functional teams, including data engineers, software developers, andproduct managers to develop AI solutions to business problems 8. Implement responsible AI practices, ensuring fairness, interpretability, and ethical AI adoption

DataZymes - Artificial Intelligence/Machine Learning Engineer - Data Modeling (4-6 yrs)

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