AI/ML Engineer at Datazymes

Company Description

DataZymes Analytics is a cutting-edge and innovative data analytics company working with Life Sciences clients that empowers businesses and organizations to unlock the true potential of their data. Our mission is to harness the power of data and transform it into actionable insights, enabling our clients to make informed decisions and gain a competitive edge in today's data-driven world.With a team of highly skilled data scientists, analysts, and engineers, DataZymes Analytics is committed to delivering top-notch solutions tailored to the unique needs of each client.

Aided by our suite of cutting-edge products and accelerators, we are helping our Pharma clients on their Data to Insights journey. 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.What sets us apart is our dedication to accuracy, efficiency, and innovation. We utilize the latest technologies and industry best practices to ensure the highest quality of work and the fastest turnaround times. Moreover, our agile approach allows us to adapt quickly to changing requirements and deliver exceptional results within the most demanding timelines.

Job Description

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

Life at Datazymes

Catalyzing Innovation in Pharma with Data-driven Digital 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.

Thrive Here & What We Value

Collaborative and supportive work environment

Opportunities for professional development and growth

Flexible working hours and remote work options

Regular team-building activities and events

Job Functions1. AI/ML Model Development2. NLP and LLM Prompt Design3. Cloud Services Deployment4. MLOps and CI/CD Pipelines5. SQL and NoSQL Databases

Job Requirements1. 3+ years of work experience in Python programming for AI/ML, deep learning, and Generative AI model development2. Proficiency in TensorFlow/PyTorch, Hugging Face Transformers, and Langchain libraries3. Handson experience with NLP, LLM prompt design and fine-tuning, embeddings, vector databases, and agentic frameworks4. Strong understanding of ML algorithms, probability, and optimization techniques5. 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

Skills1. Python Programming for AI/ML, Deep Learning, and Generative AI model development2. TensorFlow/PyTorch, Hugging Face Transformers, and Langchain libraries3. NLP, LLM prompt design, finetuning, embeddings, vector databases, and agentic frameworks4. ML algorithms, probability, and optimization techniques5. Docker, Kubernetes, AWS Bedrock, SageMaker, GCP Vertex AI through APIs1. Strong understanding of ML algorithms, probability, and optimization techniques2. Experience with developing scalable, productionready ML code and optimized model inference3. Familiarity with retrievalaugmented generation (RAG), cache-augmented generation (CAG), retrieval-integrated generation (RIG), low-rank adaptation (LoRA) fine-tuning

AI/ML Engineer

Company Description

Job Description

Life at Datazymes

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