Techno-Comp Computer Services Private Limited® was started in 1993 and is a recognized leader in IT systems integration and technology services. With a proven track record in helping organizations achieve high performance, we leverage our R & D and Application Development centers in the US and India to fulfill our clients’ needs. We essentially focuses on enterprise projects and product development whilst offering its services to many prominent business brands in Canada, India and the United States. As a tech-based company driven by human talent, our responsibility is to provide comprehensive technology solutions to our clients. We believe that the human touch of the client is key to the ethics and values of our company. We offer a range of services including Application Development, Quality Assurance Services, Digital Services, Cloud Computing Services, and Governance, Risk & Compliance. We also pride ourselves on our recruitment and staffing solutions for all industries- medical, IT, e-commerce, telecom. We offer a range of services including application development, information management, and quality assurance. We also pride ourselves on our recruitment and staffing solutions for all industries- medical, IT, e-commerce, telecom. The Role You Will Be Responsible For Conducting analysis and valuations in order to make recommendations regarding investment strategy. Creating detailed reports and presentations for marketing purposes. Ideal Profile Associate needs to have knowledge and hands-on experience on campaign builds using Adobe Campaign Classic. Understanding and execution of campaign across various channels like Email, SMS and direct mail. Strong knowledge of marketing automation, campaign management and customer journey is necessary. Strong SQL knowledge and experience to query and analyze the data. Good communication skills and able to work as one team. Need to work along with onshore stake holders and understand the requirement to develop and deploy campaigns. Good stakeholder management skills Ability to multi-task and switch context to changing priorities in a highly dynamic environment. Ability to navigate a highly matrixed organization effectively. Sound business and data technologies acumen. Focused and versatile leader who is comfortable to deliver under pressure. Demonstrated, applied experience establishing and delivering complex assignments. Excellent presentation and reporting skills to executive level audience. Good Strategic thinking and problem-solving skills. Ability to communicate at all levels with clarity and precision both written and verbally, good listener. What's on Offer? Leadership Role Work in a company with a solid track record of performance A role that offers a breadth of learning opportunities Show more Show less
Job Title: Developer Work Location: CHENNAI, TN/ PUNE, MH/HYDERABAD, TG/KOCHI, KL/BANGALORE, KA Skill Required: Master Data Management_Informatica (MDM)~Informatica CDI (Cloud Data Integra-tion) Experience Range: 8 – 10 years Job Description: 10 years of experience in Informatica ETL Design and Architecture, Data Analysis & Data Management Demonstrated expertise in designing and implementing data architecture solutions using Informatica Cloud and Azure Implemented an Informatica based ETL solution fulfilling stringent performance require-ments Experience in designing and implementing ETL processes; understanding of data models and data flows Essential Skill: Lead the migration of SSIS or any other ETL tool to Informatica Cloud Services (IICS/IDMC) Participates in ETL Design of new or changing mappings and workflows with the team and prepares technical specifica-tions Analyzing data integration requirements, analyzing data sources and targets, business rules, and transformation logic Desirable Skill : Oversee the integration of various data sources using ETL processes Perform data analysis and profiling to identify data quality issues and develop strategies for data cleansing and transformation Collaborate with cross-functional teams to understand and address data requirements Ensure data accuracy and con-sistency across all systems
Description: JOB RESPONSIBILITY • Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization. • Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models. • Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements. • Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments. • Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment. • Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development. • Document model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC. • Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs. • Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling. • Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function. • Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and deployment. QUALIFICATION Minimum education: Bachelor’s degree in any Engineering Stream Specialized training, certifications, and/or other special requirements: Nice to have Preferred education: Computer Science/Engineering. EXPERIENCE Minimum relevant experience - 4+ years in AI Engineering SKILLS AND COMPETENCIES Technical Skills: • Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) • Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques • Experience with big data processing using Spark for large-scale data analytics • Version control and experiment tracking using Git and MLflow • Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. • DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. • LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. • MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. • Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. • LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. • General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. • Experience in creating LLD for the provided architecture. • Experience working in microservices based architecture. Domain Expertise: • Strong mathematical foundation in statistics, probability, linear algebra, and optimization • Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation • Expertise in feature engineering, embedding optimization, and dimensionality reduction • Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing • Experience with RAG systems, vector databases, and semantic search implementation • Proficiency in LLM optimization techniques including quantization and knowledge distillation • Understanding of MLOps practices for model deployment and monitoring Professional Competencies: • Strong analytical thinking with ability to solve complex ML challenges • Excellent communication skills for presenting technical findings to diverse audiences • Experience translating business requirements into data science solutions • Project management skills for coordinating ML experiments and deployments • Strong collaboration abilities for working with cross-functional teams • Dedication to staying current with latest ML research and best practices • Ability to mentor and share knowledge with team members
Description JOB RESPONSIBILITY : Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization. Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models. Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements. Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments. Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment. Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development. Document model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC. Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs. Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling. Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function. Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and : Minimum education: Bachelors degree in any Engineering Stream Specialized training, certifications, and/or other special requirements: Nice to have Preferred education: Computer : Minimum relevant experience - 4+ years in AI AND COMPETENCIES Skills : Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques Experience with big data processing using Spark for large-scale data analytics Version control and experiment tracking using Git and MLflow Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. Experience in creating LLD for the provided architecture. Experience working in microservices based Expertise : Strong mathematical foundation in statistics, probability, linear algebra, and optimization Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation Expertise in feature engineering, embedding optimization, and dimensionality reduction Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing Experience with RAG systems, vector databases, and semantic search implementation Proficiency in LLM optimization techniques including quantization and knowledge distillation Understanding of MLOps practices for model deployment and Competencies : Strong analytical thinking with ability to solve complex ML challenges Excellent communication skills for presenting technical findings to diverse audiences Experience translating business requirements into data science solutions Project management skills for coordinating ML experiments and deployments Strong collaboration abilities for working with cross-functional teams Dedication to staying current with latest ML research and best practices Ability to mentor and share knowledge with team members (ref:hirist.tech)
Job Title: Developer Work Location: BANGALORE, KA Skill Required: Python, Flask, Docker, Kubernetes Experience Range: : 4 yrs & above Job Description: Python automation- Virtual Private Cloud QA - Strong programming skills in Python. Experience with Docker and Kubernetes. Cloud development exp is must. Note:: Strong programming skills in Python. Experience with Docker and Kubernetes. Familiarity with microservices-based development. Knowledge of any cloud, network devices and automation libraries (open-source or custom). Comfortable working in Linux (e.g., CentOS) and with network vendor CLIs like JunOS or IOS.
Skills: CDI, CDI Management, Inpatient, Healthcare, manager, AHIMA, ACDIS, Guide the department toward desired outcomes, setting high performance standards and delivering quality services. Communicate professionally, clearly and assertively. Hold strong organizational skills and able to proactively prioritize needs and effectively manage resources. Demonstrates ability to foster a team building and environment. Manage the day-to-day operations of the CDI Concurrent Review and Query team. Collaborate with the Concurrent Review and Query Director on outcomes and trends to establish priorities of team. Support the Concurrent Review and Query Director to plan for operational and workflow optimization related projects. Develop and maintain operational policies and procedures to ensure compliance with CDI Standards. Analyze and monitor focused review findings, identify problem areas, develop strategies, and recommend action plan for resolution. Provide operational management to identify, implement, and monitor CDI operational activities to align with CDI strategic goals and objectives. Support collaboration across teams to improve and enhance operational and workflow efficiencies. Strategic Relationships Develop and strengthen collaborative relationships with Division, Parallon, and Corporate leaders to advance the care of our patients. Actively encourage collaboration and possess excellent interpersonal skills. Deliver information in a clear, concise and compelling manner. Deliver targeted and actionable communications that invites two-way professional communication. Adjust messages appropriately by audience Demonstrate a willingness and ability to lead others. Self-Development Demonstrate proficiency in current and emerging technologies. Excellent personal computer skills (MS Outlook, MS Office, Excel, EMR, 3M, Iodine and other related software). Independently take proactive steps toward problem resolution. Complete all mandatory and assigned education by established deadlines. Or Equivalent Combination Of Education And/or Experience Knowledge, Skills, Abilities, Behaviors: Service and Quality Excellence : Ability to demonstrate an uncompromising commitment to Required delivering exceptional care to create an unmatched value proposition for our patients. Honor our Mission and Values : Ability to build trust and act with authenticity to cultivate a Required culture of integrity, inclusion, and mutual respect. Effective Decision Making : Ability to make timely, informed decisions that are in the best Required interest of our patients, employees, providers, community and HCA. Attain and Leverage Strategic Relationships : Ability to develop and strengthen collaborative Required relationships with both internal and external stakeholders to advance the care of our patients and the growth of HCA. Lead and Develop Others : Ability to lead others to accomplish organizational goals and Required objectives; provide meaningful coaching and mentoring to increase the capabilities of individuals and teams and drive employee engagement. Communicate with Impact : Ability to deliver information in a clear, concise, and compelling Required manner to effectively engage others and achieve desired results. Achieve Success through Change : Ability to identify opportunities for improvement and Required innovation, remove barriers and resistance, and enable desired behaviors. Drive Execution and Financial Results : Ability to commit to the success and financial Required wellbeing of HCA by challenging others to excel and hold themselves and others accountable for achieving results.
As an AI/ML Engineer, your primary responsibility will be to collaborate effectively with cross-functional teams, including data scientists and product managers. Together, you will work on acquiring, processing, and managing data for the integration and optimization of AI/ML models. Your role will involve designing and implementing robust, scalable data pipelines to support cutting-edge AI/ML models. Additionally, you will be responsible for debugging, optimizing, and enhancing machine learning models to ensure quality assurance and performance improvements. Operating container orchestration platforms like Kubernetes with advanced configurations and service mesh implementations for scalable ML workload deployments will be a key part of your job. You will also design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment. Engaging in advanced prompt engineering and fine-tuning of large language models (LLMs) will be crucial, with a focus on semantic retrieval and chatbot development. Documentation will be an essential aspect of your work, involving the recording of model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC. Researching and implementing cutting-edge LLM optimization techniques such as quantization and knowledge distillation will be part of your ongoing tasks to ensure efficient model performance and reduced computational costs. Collaborating closely with stakeholders to develop innovative natural language processing solutions, with a specialization in text classification, sentiment analysis, and topic modeling, will be another significant aspect of your role. Staying up-to-date with industry trends and advancements in AI technologies and integrating new methodologies and frameworks to continually enhance the AI engineering function will also be expected of you. In terms of qualifications, a Bachelor's degree in any Engineering stream is required, along with a minimum of 4+ years of relevant experience in AI. Proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) is essential. Experience with LLM frameworks, big data processing using Spark, version control, and experiment tracking, as well as proficiency in software engineering and development, DevOps, infrastructure, cloud services, and LLM project experience are also necessary. Your expertise should include a strong mathematical foundation in statistics, probability, linear algebra, and optimization, along with a deep understanding of ML and LLM development lifecycle. Additionally, you should have expertise in feature engineering, embedding optimization, dimensionality reduction, A/B testing, experimental design, statistical hypothesis testing, RAG systems, vector databases, semantic search implementation, and LLM optimization techniques. Strong analytical thinking, excellent communication skills, experience translating business requirements into data science solutions, project management skills, collaboration abilities, dedication to staying current with the latest ML research, and the ability to mentor and share knowledge with team members are essential competencies for this role.,
In addition to demonstrating consistent performance of all CDI functions, the Concurrent Review and Query Manager will · Guide the department toward desired outcomes, setting high performance standards and delivering quality services. · Communicate professionally, clearly and assertively. · Hold strong organizational skills and able to proactively prioritize needs and effectively manage resources. · Demonstrates ability to foster a team building and environment. · Manage the day-to-day operations of the CDI Concurrent Review and Query team. · Collaborate with the Concurrent Review and Query Director on outcomes and trends to establish priorities of team. · Support the Concurrent Review and Query Director to plan for operational and workflow optimization related projects. · Develop and maintain operational policies and procedures to ensure compliance with CDI Standards. · Analyze and monitor focused review findings, identify problem areas, develop strategies, and recommend action plan for resolution. · Provide operational management to identify, implement, and monitor CDI operational activities to align with CDI strategic goals and objectives. · Support collaboration across teams to improve and enhance operational and workflow efficiencies. Strategic Relationships · Develop and strengthen collaborative relationships with Division, Parallon, and Corporate leaders to advance the care of our patients. · Actively encourage collaboration and possess excellent interpersonal skills. · Deliver information in a clear, concise and compelling manner. · Deliver targeted and actionable communications that invites two-way professional communication. Adjust messages appropriately by audience · Demonstrate a willingness and ability to lead others. Self-Development · Demonstrate proficiency in current and emerging technologies. · Excellent personal computer skills (MS Outlook, MS Office, Excel, EMR, 3M, Iodine and other related software). · Independently take proactive steps toward problem resolution. · Complete all mandatory and assigned education by established deadlines. Or equivalent combination of education and/or experience Knowledge, Skills, Abilities, Behaviors: · Service and Quality Excellence : Ability to demonstrate an uncompromising commitment to Required delivering exceptional care to create an unmatched value proposition for our patients. · Honor our Mission and Values : Ability to build trust and act with authenticity to cultivate a Required culture of integrity, inclusion, and mutual respect. · Effective Decision Making : Ability to make timely, informed decisions that are in the best Required interest of our patients, employees, providers, community and HCA. · Attain and Leverage Strategic Relationships : Ability to develop and strengthen collaborative Required relationships with both internal and external stakeholders to advance the care of our patients and the growth of HCA. · Lead and Develop Others : Ability to lead others to accomplish organizational goals and Required objectives; provide meaningful coaching and mentoring to increase the capabilities of individuals and teams and drive employee engagement. · Communicate with Impact : Ability to deliver information in a clear, concise, and compelling Required manner to effectively engage others and achieve desired results. · Achieve Success through Change : Ability to identify opportunities for improvement and Required innovation, remove barriers and resistance, and enable desired behaviors. · Drive Execution and Financial Results : Ability to commit to the success and financial Required wellbeing of HCA by challenging others to excel and hold themselves and others accountable for achieving results.
In addition to demonstrating consistent performance of all CDI functions, the Concurrent Review and Query Manager will · Guide the department toward desired outcomes, setting high performance standards and delivering quality services. · Communicate professionally, clearly and assertively. · Hold strong organizational skills and able to proactively prioritize needs and effectively manage resources. · Demonstrates ability to foster a team building and environment. · Manage the day-to-day operations of the CDI Concurrent Review and Query team. · Collaborate with the Concurrent Review and Query Director on outcomes and trends to establish priorities of team. · Support the Concurrent Review and Query Director to plan for operational and workflow optimization related projects. · Develop and maintain operational policies and procedures to ensure compliance with CDI Standards. · Analyze and monitor focused review findings, identify problem areas, develop strategies, and recommend action plan for resolution. · Provide operational management to identify, implement, and monitor CDI operational activities to align with CDI strategic goals and objectives. · Support collaboration across teams to improve and enhance operational and workflow efficiencies. Strategic Relationships · Develop and strengthen collaborative relationships with Division, Parallon, and Corporate leaders to advance the care of our patients. · Actively encourage collaboration and possess excellent interpersonal skills. · Deliver information in a clear, concise and compelling manner. · Deliver targeted and actionable communications that invites two-way professional communication. Adjust messages appropriately by audience · Demonstrate a willingness and ability to lead others. Self-Development · Demonstrate proficiency in current and emerging technologies. · Excellent personal computer skills (MS Outlook, MS Office, Excel, EMR, 3M, Iodine and other related software). · Independently take proactive steps toward problem resolution. · Complete all mandatory and assigned education by established deadlines. Or equivalent combination of education and/or experience Knowledge, Skills, Abilities, Behaviors: · Service and Quality Excellence : Ability to demonstrate an uncompromising commitment to Required delivering exceptional care to create an unmatched value proposition for our patients. · Honor our Mission and Values : Ability to build trust and act with authenticity to cultivate a Required culture of integrity, inclusion, and mutual respect. · Effective Decision Making : Ability to make timely, informed decisions that are in the best Required interest of our patients, employees, providers, community and HCA. · Attain and Leverage Strategic Relationships : Ability to develop and strengthen collaborative Required relationships with both internal and external stakeholders to advance the care of our patients and the growth of HCA. · Lead and Develop Others : Ability to lead others to accomplish organizational goals and Required objectives; provide meaningful coaching and mentoring to increase the capabilities of individuals and teams and drive employee engagement. · Communicate with Impact : Ability to deliver information in a clear, concise, and compelling Required manner to effectively engage others and achieve desired results. · Achieve Success through Change : Ability to identify opportunities for improvement and Required innovation, remove barriers and resistance, and enable desired behaviors. · Drive Execution and Financial Results : Ability to commit to the success and financial Required wellbeing of HCA by challenging others to excel and hold themselves and others accountable for achieving results.
In addition to demonstrating consistent performance of all CDI functions, the Concurrent Review and Query Manager will · Guide the department toward desired outcomes, setting high performance standards and delivering quality services. · Communicate professionally, clearly and assertively. · Hold strong organizational skills and able to proactively prioritize needs and effectively manage resources. · Demonstrates ability to foster a team building and environment. · Manage the day-to-day operations of the CDI Concurrent Review and Query team. · Collaborate with the Concurrent Review and Query Director on outcomes and trends to establish priorities of team. · Support the Concurrent Review and Query Director to plan for operational and workflow optimization related projects. · Develop and maintain operational policies and procedures to ensure compliance with CDI Standards. · Analyze and monitor focused review findings, identify problem areas, develop strategies, and recommend action plan for resolution. · Provide operational management to identify, implement, and monitor CDI operational activities to align with CDI strategic goals and objectives. · Support collaboration across teams to improve and enhance operational and workflow efficiencies. Strategic Relationships · Develop and strengthen collaborative relationships with Division, Parallon, and Corporate leaders to advance the care of our patients. · Actively encourage collaboration and possess excellent interpersonal skills. · Deliver information in a clear, concise and compelling manner. · Deliver targeted and actionable communications that invites two-way professional communication. Adjust messages appropriately by audience · Demonstrate a willingness and ability to lead others. Self-Development · Demonstrate proficiency in current and emerging technologies. · Excellent personal computer skills (MS Outlook, MS Office, Excel, EMR, 3M, Iodine and other related software). · Independently take proactive steps toward problem resolution. · Complete all mandatory and assigned education by established deadlines. Or equivalent combination of education and/or experience Knowledge, Skills, Abilities, Behaviors: · Service and Quality Excellence : Ability to demonstrate an uncompromising commitment to Required delivering exceptional care to create an unmatched value proposition for our patients. · Honor our Mission and Values : Ability to build trust and act with authenticity to cultivate a Required culture of integrity, inclusion, and mutual respect. · Effective Decision Making : Ability to make timely, informed decisions that are in the best Required interest of our patients, employees, providers, community and HCA. · Attain and Leverage Strategic Relationships : Ability to develop and strengthen collaborative Required relationships with both internal and external stakeholders to advance the care of our patients and the growth of HCA. · Lead and Develop Others : Ability to lead others to accomplish organizational goals and Required objectives; provide meaningful coaching and mentoring to increase the capabilities of individuals and teams and drive employee engagement. · Communicate with Impact : Ability to deliver information in a clear, concise, and compelling Required manner to effectively engage others and achieve desired results. · Achieve Success through Change : Ability to identify opportunities for improvement and Required innovation, remove barriers and resistance, and enable desired behaviors. · Drive Execution and Financial Results : Ability to commit to the success and financial Required wellbeing of HCA by challenging others to excel and hold themselves and others accountable for achieving results.
Techno-Comp Computer Services Private Limited, established in 1993, is a well-known leader in IT systems integration and technology services. With a strong history of assisting organizations in achieving high performance, we utilize our R & D and Application Development centers in the US and India to cater to our clients" needs. Our primary focus lies in enterprise projects and product development, serving numerous renowned business brands in Canada, India, and the United States. As a technology-driven company propelled by human talent, our mission is to deliver comprehensive technology solutions to our clients, always emphasizing the human touch in client interactions as fundamental to our company's ethics and values. Our service offerings include Application Development, Quality Assurance Services, Digital Services, Cloud Computing Services, and Governance, Risk & Compliance. We take pride in our recruitment and staffing solutions across various industries such as medical, IT, e-commerce, and telecom. **Role Summary:** As part of our team, you will be entrusted with the following responsibilities: - Conducting analysis and valuations to provide recommendations on investment strategy. - Developing detailed reports and presentations for marketing purposes. **Ideal Candidate Profile:** The ideal candidate should possess the following qualifications and skills: - Proficiency and hands-on experience in campaign builds using Adobe Campaign Classic. - Ability to execute campaigns across different channels like Email, SMS, and direct mail. - Strong understanding of marketing automation, campaign management, and customer journey. - Proficient in SQL to query and analyze data effectively. - Excellent communication skills and a collaborative team player. - Collaborating with onshore stakeholders to comprehend requirements and execute campaigns. - Strong stakeholder management abilities. - Capability to multitask and adapt to changing priorities in a dynamic environment. - Proficiency in navigating effectively within a matrixed organization. - Solid business and data technologies acumen. - A focused and adaptable leader comfortable with delivering under pressure. - Proven experience in executing complex assignments. - Exceptional presentation and reporting skills for executive-level audiences. - Strategic thinking and problem-solving capabilities. - Clear and precise communication skills, both written and verbal, with active listening abilities. **What We Offer:** - Leadership Role - Opportunity to work in a company with a strong track record of performance - Role that provides a wide range of learning opportunities,
Description JOB RESPONSIBILITY : Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization. Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models. Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements. Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments. Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment. Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development. Document model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC. Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs. Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling. Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function. Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and : Minimum education: Bachelors degree in any Engineering Stream Specialized training, certifications, and/or other special requirements: Nice to have Preferred education: Computer : Minimum relevant experience - 4+ years in AI AND COMPETENCIES Skills : Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques Experience with big data processing using Spark for large-scale data analytics Version control and experiment tracking using Git and MLflow Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. Experience in creating LLD for the provided architecture. Experience working in microservices based Expertise : Strong mathematical foundation in statistics, probability, linear algebra, and optimization Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation Expertise in feature engineering, embedding optimization, and dimensionality reduction Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing Experience with RAG systems, vector databases, and semantic search implementation Proficiency in LLM optimization techniques including quantization and knowledge distillation Understanding of MLOps practices for model deployment and Competencies : Strong analytical thinking with ability to solve complex ML challenges Excellent communication skills for presenting technical findings to diverse audiences Experience translating business requirements into data science solutions Project management skills for coordinating ML experiments and deployments Strong collaboration abilities for working with cross-functional teams Dedication to staying current with latest ML research and best practices Ability to mentor and share knowledge with team members (ref:hirist.tech)
JOB RESPONSIBILITY • Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization. • Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models. • Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements. • Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments. • Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment. • Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development. • Document model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC. • Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs. • Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling. • Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function. • Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and deployment. QUALIFICATION Minimum education: Bachelor’s degree in any Engineering Stream Specialized training, certifications, and/or other special requirements: Nice to have Preferred education: Computer Science/Engineering. EXPERIENCE Minimum relevant experience - 4+ years in AI Engineering SKILLS AND COMPETENCIES Technical Skills: • Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) • Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques • Experience with big data processing using Spark for large-scale data analytics • Version control and experiment tracking using Git and MLflow • Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. • DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. • LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. • MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. • Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. • LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. • General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. • Experience in creating LLD for the provided architecture. • Experience working in microservices based architecture. Domain Expertise: • Strong mathematical foundation in statistics, probability, linear algebra, and optimization • Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation • Expertise in feature engineering, embedding optimization, and dimensionality reduction • Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing • Experience with RAG systems, vector databases, and semantic search implementation • Proficiency in LLM optimization techniques including quantization and knowledge distillation • Understanding of MLOps practices for model deployment and monitoring Professional Competencies: • Strong analytical thinking with ability to solve complex ML challenges • Excellent communication skills for presenting technical findings to diverse audiences • Experience translating business requirements into data science solutions • Project management skills for coordinating ML experiments and deployments • Strong collaboration abilities for working with cross-functional teams • Dedication to staying current with latest ML research and best practices • Ability to mentor and share knowledge with team members
Job Overview: We’re seeking a passionate and skilled Java Backend Developer to join our dynamic engineering team. If you thrive in building scalable microservices, enjoy clean code, and can collaborate across teams, this role is for you. While Angular knowledge is a plus, your backend expertise is what truly matters. 🛠️ Key Responsibilities: Design, develop, and maintain robust backend services using Java 8+ (Java 17 in production) Architect and implement microservices with RESTful APIs Collaborate with frontend teams (Angular) to ensure seamless integration Optimize application performance, scalability, and reliability Participate in code reviews, testing, and deployment cycles Contribute to technical discussions and mentor junior developers ✅ Required Skills: Strong proficiency in Java (8 or above) with hands-on experience in Java 17 Deep understanding of microservices architecture , REST APIs, and service orchestration Experience with Spring Boot , JPA/Hibernate , and related frameworks Familiarity with CI/CD pipelines , Git , and containerization (Docker/Kubernetes) Basic working knowledge of Angular (not mandatory to be an expert)