Position: BOX ECM Implementation Lead Location/ Travel 100% remote Duration: Long Term Interview process : 2 EY interviews - Client interview (to be confirmed) Responsibilities: Lead the implementation and administration of BOX ECM solutions, ensuring they meet organizational needs and objectives Configure and optimize BOX ECM modules, including Box IT & Admin, Box Archive, Box Relay, Box Core, and Box AI, to enhance operational efficiency Collaborate with cross-functional teams to i
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Design, build, and optimize AI Agents and Conversational Chatbots.
Implement NLP/NLU models to deliver human-like interactions.
Integrate chatbots with enterprise platforms, APIs, and third-party systems.
Continuously improve accuracy, personalization, and scalability of AI solutions.
Collaborate with cross-functional teams to define and deliver business use cases.
Required Skills:
Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Rasa, LangChain, OpenAI APIs
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Job Description :
We are looking for an experienced Data Science & Analytics Lead to drive data-driven decision-making and advanced analytics initiatives in the retail domain.
This onsite role will work closely with business stakeholders, product teams, and data engineering to deliver actionable insights, predictive models, and AI/ML-powered solutions aligned with retail business goals.
Hands-on experience with data visualization tools like Power BI, Tableau, or Looker.
Familiarity with
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Job Description:
Project & Planning Deliverables
- Detailed plans outlining project phases, timelines, and milestones from ideation to production.
- Detailed, actionable plans for the day-to-day execution of a project, including task assignments, resource allocation, and dependency management.
- Clearly defined project scope and functional/non-functional requirements for AI solutions.
- Documents identifying potential technical and business risks, along with strategies to mitigate them
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Job DescriptionKey Responsibilities:
Develop, train, and deploy machine learning and NLP models using Python and relevant libraries (scikit-learn, Databricks
Apply LLMs, RAG, vector databases, and embeddings to solve enterprise use cases.
Build APIs to serve ML models and integrate them into applications.
Apply supervised, unsupervised learning, time-series forecasting, and statistical analysis on large datasets.
Collaborate with stakeholders and present analytical findings clearly.
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AI Focused supports the planning, execution, and delivery of AI and data-driven initiatives that improve patient care, operational efficiency, and strategic outcomes. Reporting to the Manager of IT Products & Programs, this role collaborates with product strategists, analytics leaders, and technical teams to translate AI concepts into practical, scalable, and ethically responsible solutions. Responsibilities span product backlog management, stakeholder engagement, agile execution, performance tr
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Job discription
Algorithm Development & Optimization
Rapid prototyping of algorithms for high-performance, data-intensive applications.
Optimization for speed, efficiency, and scalability in production environments.
Programming & Integration
Python – advanced expertise for data processing, ML model development, and automation.
C++ – desirable proficiency for integration with vehicle firmware and full product lifecycle delivery.
3. Mathematical & Statistical Foundations
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($) :
$60k - $130k/year
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AI Developer Natural Language Processing, Machine Learning & AWS Loction: New York, NY (Need Onsite day 1, hybrid 3 days from office Duraiton: Long term Position type: W2 contract Job Description: We are seeking a highly skilled and motivated AI Developer specializing in Natural Language Processing (NLP) and Large Language Models (LLMs) to join our dynamic team. The ideal candidate will have strong hands-on experience in implementing LLMs, managing machine learning pipelines, and deployin
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Job Description:This position specifically requires extensive AWS experience and leadership capabilities to effectively guide the team. The core requirements for this role center around AWS infrastructure knowledge and technical team leadership.The Gen-AI space demands a unique combination of technical knowledge, program management capabilities, and the ability to navigate complex governance and security considerations. A seasoned Gen-AI Program Manager brings invaluable expertise in areas such
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Job Description :
6–10 years of experience in AI/ML/Deep Learning model development
2-3 years Hands-on experience with LLMs, NLP, or speech/voice AI systems
3-5 years of experience deploying AI solutions in production environments
Primary (Must have skills - To be Screened by TA Team
5+ years of experience in Python, PyTorch, TensorFlow, or similar frameworks
3-5 years of experience designing, training, and fine-tuning large language models or AI models
5 years of experience
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