Role: AI/ML Engineer /Data Scientist with AI/ML
Work Type: Hybrid (Morris Plains NJ, Bloomfield CT, Austin, or Dallas TX office)
Client: Cigna (F2F interview)
YOE:10+
Agentic AI experience required. This is most important skill.
Primary Responsibilities:
- Lead the development and training of machine learning models.
- Optimize AI algorithms for performance, efficiency, and scalability.
- Design and implement robust and scalable data pipelines.
- Integrate AI systems with enterprise software and cloud-based applications.
- Drive data-driven decision-making by working with cross-functional teams.
- Plan and lead analytics projects, ensuring alignment with business goals.
- Present findings and insights to stakeholders, translating complex technical results into actionable business recommendations.
- Ensure quality and compliance of data and modeling results with business and regulatory requirements.
- Mentor and guide junior data scientists, fostering technical growth and best practices in AI/ML development.
Required Qualifications & Skills:
- At least 6 years of experience developing AI and ML solutions in a professional setting.
- Bachelor’s degree in computer science, Data Science, or a related field (Master's preferred).
- Experience developing AI-driven chatbots using RAG and AI agents with LangChain.
- Advanced proficiency in Python and SQL for data science applications.
- Strong understanding of machine learning techniques, including supervised, unsupervised, and reinforcement learning.
- Expertise in deep learning architectures (CNNs, RNNs, Transformers) and NLP techniques.
- Proficiency in designing scalable and maintainable AI systems, including microservices and REST API development.
- Hands-on experience with cloud computing platforms such as AWS, Databricks, Azure, and GCP.
- Knowledge of MLOps best practices, including CI/CD pipelines, containerization (Docker, Kubernetes), and role-based access provisioning.
- Strong ability to communicate AI/ML insights and model performance to both technical and non-technical stakeholders.
Preferred Qualifications:
- Expertise in mathematical concepts, including statistics, probability, linear algebra, and calculus.
- Experience with distributed computing frameworks such as Apache Spark.
- Familiarity with advanced AI tools and platforms, including PyTorch, Hugging Face, and Kafka.
- Strong project management and leadership skills, with experience driving AI/ML initiatives in a business environment.
- System design expertise, ensuring scalability and robustness in AI deployments.
Thanks & Regards,
Ravikar Yadav
Technical Recruiter
Concept Software and Services Inc.
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