Location: Gurugram (Hybrid)

Markovate, a leading AI/ML development company, is on the lookout for a stellar Senior AI/ML Engineer with a minimum of 4+ years of relevant experience to oversee the execution, architecture, and frameworks of Gen AI and ML projects. The successful candidate will consult and lead project teams, addressing and resolving technical issues while fostering innovation and collaboration.

Role Summary:

We are looking for a Certified Senior AI/ML Engineer with over 4+ years of successful experience in Data Science, Machine Learning, and Analytics. The ideal candidate is a passionate engineer and thriving analyst with strong skills in data engineering, ML techniques, and algorithm development, and has hands-on experience in AWS/GCP/AZURE, RAG, MoE, LLM, NLP, and MLOps.

Key Responsibilities:

- Generative AI Capabilities:

Build solutions using Azure, Google, and Azure LLM model's respective tech stack. Lead and integrate solutions with products for user access. Create and implement QA processes for product documents and contracts.

- MLOps Platform Design:

Develop in-house LLM platform capabilities for data onboarding, application building, and pipeline evaluation. Implement and design a feature store platform and data pipelines for models in production. Establish a model registry to streamline the development cycle for data scientists.

- System Design and Model Governance:

Leverage Sagemaker, NVIDIA, Claude 3, Vertex AI, Azure ML, and other GCP services to design scalable MLOps systems. Build and orchestrate ML/DL model deployment pipelines. Ensure model governance and compliance through CI/CD practices and MLFlow tracking.

Skills and Qualifications:

- Proficient in Python, SQL, and R programming languages.

- A track record of designing, executing, and deploying AI/ML solutions.

- Expertise in GenAI, LLM, Vector Databases (Qdrant, Chroma, Pinecone), Data Wrangling, and ML Algorithms.

- Strong knowledge of Data Analysis, REST API, Linux, and Streamlit.

- Experienced with Git & Version Control, Backend Design, Splunk, Azure ML, Databricks, Vertex AI, Tableau, MlFlow, Snowflake, and BigQuery.

- Familiarity with Unit Testing, CI/CD, Probability & Statistics, and Pyspark.

Education:

- Masters in Data Science, Business Analytics, or any relevant stream.

- Certifications in AI Programming, Machine Learning Engineering, Computer Vision & NLP, and TensorFlow Specializations.

Senior AI/ML Engineer (Gen AI + CV + MLOps)

Gurugram

Software Development

Full Time - Hybrid

Job Description