Data Scientist (AL/ML Lead)

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Hello Everyone,

Hope you are doing good!!!!

My name is Pavan and I work with SPAR Information System., I have a great opportunity for you, please find the job details below, if you are interested in applying please send me your updated resume and best time for you to discuss about this opportunity in details.

Role : AIML Lead

Location : Bellevue / Atlanta - Onsite

Duration: Long term contract

who has 3-4 ml projects and at least a couple of Genai projects

should also have some experience with client interactions, requirement gathering, effort, estimation

JD

Experience:

5+ years We are seeking a highly skilled Senior Developer with expertise in Machine Learning (ML), Large Language Models (LLMs), and cloud technologies & Python

The ideal candidate will be responsible for requirement analysis, discovery, design, development, and implementation of ML-based solutions.

The role requires strong communication skills to interact with clients, gather requirements, and translate business needs into technical solutions. The candidate should be comfortable working independently and delivering Proof of Concepts (POCs), Minimum Viable Products (MVPs) and working on Client Projects directly.

Key Responsibilities:

Work closely with clients to gather requirements, conduct business analysis, and identify potential ML solutions.

Develop and deploy Machine Learning models, Time series models, LLMs and deep learning solutions.

Independently design, implement, and deliver POCs and MVPs.

Architect and optimize Python-based ML applications with a focus on scalability and efficiency.

Utilize GitHub for version control, collaboration, and CI/CD pipelines.

Work with cloud platforms such as AWS, Azure, or Google Cloud Platform for deployment and model hosting.

Implement best practices in software development, including code reviews, testing, and documentation.

Stay up to date with the latest advancements in AI/ML, LLMs, and cloud technologies.

Collaborate with cross-functional teams including Data Scientists, DevOps, and Business Analysts.

Required Skills & Qualifications:

Strong programming skills in Python with experience in frameworks like FastAPI, Flask, Django.

Machine Learning experience, including libraries such as TensorFlow, PyTorch, Scikit-Learn, prophet etc.

Experience with LLMs (e.g., OpenAI, Anthropic, LangChain, Hugging Face, vector databases).

Cloud technology awareness, including AWS S3, Lambda, SageMaker, Azure ML, or Google Cloud Platform Vertex AI.

Strong understanding of software engineering principles, including OOP, design patterns, and data structures.

Experience with version control (Git/GitHub/GitLab) and CI/CD pipelines.

Excellent problem-solving skills and the ability to work independently.

Strong communication skills to interact with clients and stakeholders.

Experience in containerization (Docker, Kubernetes) is a plus.

Exposure to data engineering tools like Apache Spark, Airflow, or ETL pipelines is a plus. Preferred

Qualifications:

Experience with API development and integration.

Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS) for LLM applications.

Exposure to MLOps practices for scalable model deployment.

Thanks & Regards,

Pavan Raikhelkar

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