
IGLOBAL IMPACT ITES PVT. LTD. is hiring candidates for US Process
Oversee the sales process to attract new clients.
Work with senior team members to identify and manage risks.
Maintain fruitful relationships with clients and address their needs effectively.
Prepare and deliver pitches to potential investors.
Foster a collaborative environment within the organization.
Transfer call to the supervisor after initial explanation.
SKILLS:
Excellent spoken English.
Both Graduate/Undergraduate may apply.
Ability to develop good relationships with current and potential clients.
Excellent communication skills.
Knowledge of productivity tools and software.
Ready to work in Nightshift.

About IGLOBAL IMPACT ITES PVT. LTD.
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Elocity is a cleantech start-up striving to make the world a better place through technology innovations. We are building a global infrastructure for making the transition to electric vehicles viable, affordable, and sustainable by working closely with the utilities, governments, and public.
Headquartered out of Canada, we are a team of highly specialized domain experts and problem solvers enabling utilities, public and private sector entities to successfully manage the demands of electric vehicle charging and its infrastructure needs to pave the way for electromobility in future.
To know more visit https://elocitytech.com/
Responsibilities:
- Determines technical feasibility of features or solutions by evaluating problem, customer requirements, possible solutions and technology requirements.
- Exercises judgement in prioritizing tasks and selecting methods and techniques for obtaining solutions.
- Create low-level design of modules of a software application through proper documentation and
- diagrams.
- Develops software solutions by studying requirements, clarifying customer/user needs, analysing data
- and processes and following established software development practices and processes.
- Develops proof of concepts for technical evaluation and early customer feedback
- Updates and shares knowledge by studying state-of-the-art development tools, programming
- techniques, and computing technology; reading professional publications
- Networks with internal and external personnel in own area of expertise.
- Skills:
- Good command in JavaScript/TypeScript. Knowledge of Java/Python will be a plus.
- Experience in Debugging/troubleshooting TypeScript code.
- Experience in API development (REST/GraphQL etc)
- Experience in development of Web and Mobile(android/iOS) applications
- Exposure of Parallel and Asynchronous programming
- Experience in writing Unit tests (Jest or any similar framework)
- Should be proficient in relational Database concepts (Postgres etc.)
- Knowledge of Non-relational Databases would be a plus.
- Good Understanding of Object-Oriented Programming Concepts.
- Good Understanding of Design Patterns.
- Good command of Data structures, Algorithms and Complexity.
- Good at problem solving and analytical skills.
- Experience with Source Code Versioning systems (Git etc)
- Understanding of Micro services Architecture would be a plus

Job Summary:
We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.
Responsibilities:
AI Strategy Development:
- Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
- Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.
Solution Design:
- Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
- Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
- Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.
Data Management:
- Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
- Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.
AI Model Development:
- Lead the development and deployment of AI and machine learning models.
- Implement best practices for model training, testing, and validation.
- Monitor and optimize model performance to ensure accuracy and efficiency.
Microservices Architecture:
- Define and implement microservices architecture patterns and best practices.
- Ensure that microservices are designed for scalability, flexibility, and resilience.
- Collaborate with development teams to build and deploy microservices-based applications.
Monitoring Systems:
- Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
- Implement proactive alerting and reporting mechanisms to identify and address issues promptly.
Integration and Deployment:
- Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
- Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.
Compliance and Security:
- Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
- Implement security measures to protect AI models, data, and microservices.
Stakeholder Communication:
- Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
- Translate technical concepts into non-technical language for various audiences.
Research and Innovation:
- Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
- Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.
Requirements:
- Bachelor's or Masters degree in computer science, Data Science, or a related field.
- Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
- Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
- Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
- Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
- Excellent communication and interpersonal skills.
- Ability to lead cross-functional teams and drive innovation.
- Strong problem-solving and critical-thinking abilities.
- Knowledge of regulatory requirements and data privacy standards related to AI and microservices.
Preferred Qualifications:
- AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
- Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
- Previous experience with enterprise architecture frameworks (e.g., TOGAF).
This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.



empower healthcare payers, providers and members to quickly process medical data to
make informed decisions and reduce health care costs. You will be focusing on research,
development, strategy, operations, people management, and being a thought leader for
team members based out of India. You should have professional healthcare experience
using both structured and unstructured data to build applications. These applications
include but are not limited to machine learning, artificial intelligence, optical character
recognition, natural language processing, and integrating processes into the overall AI
pipeline to mine healthcare and medical information with high recall and other relevant
metrics. The results will be used dually for real-time operational processes with both
automated and human-based decision making as well as contribute to reducing
healthcare administrative costs. We work with all major cloud and big data vendors
offerings including (Azure, AWS, Google, IBM, etc.) to achieve our goals in healthcare and
support
The Director, Data Science will have the opportunity to build a team, shape team culture
and operating norms as a result of the fast-paced nature of a new, high-growth
organization.
• Strong communication and presentation skills to convey progress to a diverse group of stakeholders
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real-time streaming applications, DevOps and product delivery
• Experience building stakeholder trust and confidence in deployed models especially via application of the algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• Provide mentoring to data scientists and machine learning engineers as well as career development
• Meet project related team members for individual specific needs on a regular basis related to project/product deliverables
• Provide training and guidance for team members when required
• Provide performance feedback when required by leadership
The Experience You’ll Need (Required):
• MS/M.Tech degree or PhD in Computer Science, Mathematics, Physics or related STEM fields
• Significant healthcare data experience including but not limited to usage of claims data
• Delivered multiple data science and machine learning projects over 8+ years with values exceeding $10 Million or more and has worked on platform members exceeding 10 million lives
• 9+ years of industry experience in data science, machine learning, and artificial intelligence
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real time streaming applications, DevOps, and product delivery
• Knows how to solve and launch real artificial intelligence and data science related problems and products along with managing and coordinating the
business process change, IT / cloud operations, meeting production level code standards
• Ownerships of key workflows part of data science life cycle like data acquisition, data quality, and results
• Experience building stakeholder trust and confidence in deployed models especially via application of algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research, and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• 3+ Years of experience managing directly five (5) or more senior level data scientists, machine learning engineers with advanced degrees and directly
made staff decisions
• Very strong understanding of mathematical concepts including but not limited to linear algebra, advanced calculus, partial differential equations, and
statistics including Bayesian approaches at master’s degree level and above
• 6+ years of programming experience in C++ or Java or Scala and data science programming languages like Python and R including strong understanding of
concepts like data structures, algorithms, compression techniques, high performance computing, distributed computing, and various computer architecture
• Very strong understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification, and
regressions, SVM, trees, model evaluations with several projects over 3+ years
• Very strong understanding and experience in Natural Language Processing,
reasoning, and understanding, information retrieval, text mining, search, with
3+ years of hands on experience
• Experience with developing and deploying several products in production with
experience in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the
following cloud vendors like AWS, Azure, and Google
• Three plus (3+) years hands on experience with MapR \ Cloudera \ Databricks
Big Data platform with Spark, Hive, Kafka etc.
• Three plus (3+) years of experience with high-performance computing like
Dask, CUDA distributed GPU, TPU etc.
• Presented at major conferences and/or published materials





-Backend framework integration with Python





