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Virtual Walk-In Interview for IT Engineers _Harita Techserv Pvt Ltd Interview Details: Interview Date: 16 -June-25 to 20 -June-25 (Monday to Friday) Interview Timing: 4.00 PM - 7.00 PM Virtual interview link: https://meet.google.com/acb-oniz-gvp Notice Period: Immediate to 30 Days Job Location Bangalore Role: Full stack Developer Experience: 6 to 10 years Skills: Node.js, React.js, Nest.js, AWS, or GCP, or Azure, NoSQL, Redis Streams Contact Email ID: yamuna.k@harita.co.in

Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powe'red applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field. experience in data science, machine learning, AI applications, and generative AI modeling. Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. Proficient in statistical modeling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powe'red applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field. experience in data science, machine learning, AI applications, and generative AI modeling. Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. Proficient in statistical modeling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below client services offerings are used to create the Internet solutions that make networks possible providing easy access to information anywhere, at any time. Job Title: Program Manager I Location: Bangalore Duration: 12 Months Work Type: Onsite Job Description: Lead and complete large-scale, client-driven projects. Communicate with clients and customers to determine their needs or requirements. Develop, design, and implement improved business processes or solutions to meet consumer expectations. Assist with budgeting and financial status reports. 3 years of experience are required. We are seeking a results-driven Project Manager with proven experience managing complex microservices-based application and data center infrastructure projects. The ideal candidate will be well-versed in Agile methodologies and tools like Jira and Confluence, with a strong background in coordinating cross-functional teams, ensuring project deliverables are on time, within scope, and within budget. Key Responsibilities: Lead end-to-end project execution for microservices transformation initiatives and data center build-outs/migrations. Collaborate with cross-functional teams including DevOps, infrastructure, application architects, and external vendors. Drive sprint planning, backlog grooming, and daily stand-ups using Agile/Scrum frameworks. Develop and maintain detailed project plans, timelines, and resource allocations. Manage risks, track dependencies, and handle escalations effectively. Provide transparent reporting through Jira dashboards, Confluence documentation, and executive status updates. Ensure alignment with organizational goals, compliance standards, and SLAs throughout project lifecycle. Track and manage changes in scope, budget, and timelines using structured change control processes. Foster continuous improvement by conducting retrospectives and incorporating lessons learned. Required Qualifications: Bachelors degree in Computer Science, Engineering, or related field (Masters preferred). 5+ years of experience as a Project Manager in technology environments. Hands-on experience managing microservices architecture projects and data center initiatives (e.g., migrations, capacity upgrades, cloud integrations). Proficiency with Jira, Confluence, and Agile delivery tools. Solid understanding of DevOps, CI/CD pipelines, infrastructure automation, and cloud technologies (AWS, Azure, or GCP). Exceptional communication, organization, and stakeholder management skills. Proven track record in delivering projects on time, in scope, and on budget. Preferred Qualifications: PMP, PMI-ACP, or Certified Scrum Master (CSM) certification. Familiarity with ITIL practices and service delivery frameworks. Experience working in a hybrid cloud/on-prem infrastructure environment. Technical background or hands-on experience in application development or system engineering TekWissen Group is an equal opportunity employer supporting workforce diversity.