Hi
Hope you are doing well !!
Kindly let me know your interest for this role and
share your Updated Resume
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.