Experience: 1yr- 5yrs Salary: As per company norms Location: Chinchwad, Pune - Maharashtra Joining: Immediate Industry Type: Education / Training Department: Trainer/ Teaching Faculty Work Mode: Work From Office (Full time Job) Salary: As per the company norms Notice Period : Immediate Job Description : We are looking for an experienced and dynamic Data Science Trainer to join our team. The ideal candidate will be responsible for designing and delivering training sessions on business analytics concepts, tools, and applications. You will equip learners with the skills needed to interpret data, derive insights, and make strategic business decisions. Skills: Power BI, Advance Excel, SQL, Machine learning , Artificial Intelligence, Python Responsibilities and Duties - Devise technical training programs according to organizational requirements. Produce training schedules and classroom agenda & execute training sessions Determine course content according to objectives. Prepare training material (presentations, worksheets etc.) Keep and report data on completed courses, absences, issues etc. Observe and evaluate results of training programs. Determine overall effectiveness of programs and make improvements.. (Note: PART TIME WORKER PLEASE DO NOT APPLY) Interested candidates can drop their CV on apardeshi@sevenmentor.com OR contact on 8806178325

Role & responsibilities As a Principal Data Scientist in our AdTech team, youll drive innovation in our advertising platform using advanced machine learning and statistical methods. Youll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our businesss bottom line. This role requires technical excellence and business acumen and youll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. Preferred candidate profile B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research. Experience in auction theory, predictive modelling, causal inference, and reinforcement learning. Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies. History of mentoring junior data scientists, and comfortable in driving multiple problem statements. Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI. Create frameworks and experimental design to measure ad effectiveness and ROI. Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions. Communicate long-term roadmap, insights and recommendations to tech and business leadership. Mentor junior data scientists and provide technical guidance. Lead research initiatives in machine learning, auction theory and advertising technology.. Adtech domain experience is mandatory.

(Should know VFX, PREMIER PRO, PS AND AI) Creating high-impact designs, illustrations and highly engaging animations and videos for a diverse array of media/industries. Assist in the planning and creative process for motion and graphic design projects. Should have strong hold on PS and Ai as we'll Understanding of digital mediums & new platforms. Should be we'll-versed with the latest trends, work & pop culture.

Python with AI ML / LLM Python Full stack - Python(Backend) + Angular / React )(Front End) + AI ML / LLM

Role/Designation: Data Scientist Location: Gurgaon Level/ Band: Band C (Manager/ Sr. Manager) Brief about the role/ team/ candidate requirement: We are looking for a motivated and highly skilled Data Scientist to join our Flight Safety team. This role will be pivotal in using advanced data analytics and machine learning techniques to enhance flight safety decisions and processes. The candidate will work with time-series, multi-variate data to detect anomalies, identify patterns, and build predictive models that support safety management. The ideal candidate should have a strong foundation in data science, machine learning, and deep learning techniques, along with expertise in applying these skills in the aviation safety domain. The candidate will play a key role in developing algorithms, performing exploratory data analysis, and utilizing artificial intelligence tools to forecast potential safety risks, providing valuable insights for strategic safety decisions. Qualification & Experience: Educational Requirements: Engineering graduate with a specialization in Data Science or a related field. Completion of a Data Scientist course or equivalent certification. Experience: A minimum of 6 years of hands-on experience working directly with data, particularly in the context of data science and machine learning. Skill set: Data analysis Anomaly detection Machine learning Big data analytics Programming skills Job responsibilities: Data analysis expertise: Ability to conduct exploratory data analysis to uncover patterns, trends, and insights from complex datasets. Anomaly detection: Expertise in anomaly detection techniques for time-series, multi-variate data, with a focus on identifying outliers and irregular behavior. Machine learning and deep learning: Strong understanding of data science methodologies, machine learning algorithms, and deep learning architectures such as Artificial Neural Networks (ANN), Recurrent Neural Networks (RNN), and Convolutional Neural Networks (CNN). Big data analytics: Proficient in utilizing AI and machine learning techniques for big data analytics, with the goal of predicting and mitigating potential safety risks. Programming skills: Expertise in Python and MATLAB for data manipulation, modeling, and algorithm development. Algorithm development: Strong ability to formulate custom algorithms tailored to specific requirements, ensuring accurate results in the context of flight safety and operational excellence. Data collection: Proficiency in gathering and preprocessing data from various sources to ensure high-quality datasets for analysis and modeling.

The Role We are seeking a dynamic and experienced Sr PM of Artificial Intelligence to lead AI product strategy and execution in Vehicle Claims. The Senior PM for Artificial Intelligence will be responsible for overseeing the development and management of AI-driven products. This role requires a deep understanding of AI technologies, market trends, and customer needs. The successful candidate will collaborate with cross-functional teams to deliver innovative AI solutions that align with our business objectives and drive growth. What You ll Do Strategic Leadership: Define and execute the product strategy for AI products in Vehicle claims, ensuring alignment with company goals and market demands. Innovation: Stay abreast of the latest advancements in AI technology and industry best practices. Foster a culture of innovation within the product team. Product Roadmap: Develop and manage a comprehensive product roadmap, prioritizing features and initiatives based on customer feedback, market research, and business impact. Market Analysis: Conduct market and competitive analysis to identify trends, opportunities, and threats. Use this information to inform product development and positioning. Customer Engagement: Engage with customers and stakeholders to understand their needs and pain points. Translate these insights into product requirements and enhancements. Cross-functional Collaboration: Work closely with engineering, data science, marketing, sales, and customer support teams to ensure successful product development and launch. Performance Metrics: Define and track key performance indicators (KPIs) to measure the success of AI products. Use data-driven insights to make informed decisions and drive continuous improvement. Compliance and Ethics: Ensure that AI products adhere to ethical guidelines, regulatory requirements, and company policies. What You ll Bring Education: Bachelors degree in Computer Science, Engineering or a related field from a top university (IIT, or similar abroad) . MBA (from top university, IIM or similar abroad) is strongly preferred. Experience: 5+ years of experience in product management, with experience managing end customer products with AI and/or related technologies. Technical Proficiency: Strong understanding of AI technologies, including LLMs, machine learning, natural language processing, computer vision, and data analytics. Leadership Skills: Proven ability to lead and inspire cross-functional teams, manage complex projects, and drive strategic initiatives. Analytical Skills: Excellent analytical and problem-solving skills, with the ability to leverage data to inform product decisions. Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences. Customer Focus: Deep commitment to understanding and meeting customer needs, with a track record of delivering successful products. Innovation Mindset: Passion for innovation and staying ahead of industry trends and technological advancements.

Senior Backend Engineer - Phronetic Who We Are: Phronetic, the artificial intelligence division of Infibeam Avenues Limited, is building the foundational platform for the "agentic economy," moving beyond simple chatbots to create an ecosystem for autonomous AI agents. Powered by Infibeam and trusted by industry leaders like Rediff, they aim to provide tools for developers to launch, manage, and monetize AI agents as "digital coworkers." The Challenge: The current AI stack is fragmented, leading to issues with multimodal data, silent webhook failures, unpredictable token usage, and nascent agent-to-agent collaboration. Phronetic is building a unified, robust backend to resolve these issues for the developer community. Your Mission: As a foundational member of the backend team, you will architect core systems, focusing on: Agent Nervous System: Designing agent-to-agent messaging, lifecycle management, and high-concurrency, low-latency communication. Multimodal Chaos Taming: Engineering systems to process and understand real-time images, audio, video, and text. Bulletproof Systems: Developing secure, observable webhook systems with robust billing, metering, and real-time payment pipelines. What Youll Bring: Phronetic seeks an experienced engineer comfortable with complex systems and ambiguity. Core Experience: Typically 5+ years of experience in backend engineering roles. Expertise in Python, especially with async frameworks like FastAPI. Strong command of Docker and cloud deployment (AWS, Cloud Run, or similar). Proven experience designing and building microservice or agent-based architectures. Specialized Experience (Ideal): Real-Time Systems: Experience with real time media transmission like WebRTC, WebSockets and ways to process them. Scalable Systems: Experience in building scalable, fault-tolerant systems with a strong understanding of observability, monitoring, and alerting best practices. Reliable Webhooks: Knowledge of scalable webhook infrastructure with retry logic, backoffs, and security. Data Processing: Experience with multimodal data (e.g., OCR, audio transcription, video chunking with FFmpeg/OpenCV). Payments & Metering: Familiarity with usage-based billing systems or token-based ledgers. Bonus Skills: Knowledge of Rust and Android development is a plus. Your Impact: The systems designed by this role will form the foundation for: Thousands of AI agents for major partners across chat, video, and APIs. A new creator economy enabling developers to earn revenue through agents. The overall speed, security, and scalability of the Phronetic platform. Why Join Us Opportunity to solve hard problems with clean, scalable code. Small, fast-paced team with high ownership and zero micromanagement. Belief in platform engineering as a craft and care for developer experience. Conviction that AI agents are the future, and a desire to build their powering platform. Dynamic, collaborative in-office work environment in Bengaluru. Meaningful equity in a growing, well-backed company. Direct work with founders and engineers from top AI companies. A real voice in architectural and product decisions. Opportunity to solve cutting-edge problems with no legacy code. Ready to Build the Future Phronetic is building the core platform for the next software paradigm. Interested candidates are encouraged to apply with their GitHub, resume, or anything that showcases their thinking.

Job Title : Python - AI/ML Developer Job Type - Full Time, Permanent Work Type - Work from Office Location - Chennai. Job Description We are seeking highly skilled and motivated Python Developers with AI/ML experience and familiar with prompt engineering and LLM integrations to join our Innovations Team. The team is responsible for exploring emerging technologies, building proof-of-concept (PoC) applications, and delivering cutting-edge AI/ML solutions that drive strategic transformation and operational efficiency. As a core member of the Innovations Team, you will work on AI-powered products, rapid prototyping, and intelligent automation initiatives across domains such as mortgage tech, document intelligence, and generative AI. Key Responsibilities: Design, develop, and deploy scalable AI/ML solutions and prototypes. Build data pipelines, clean datasets, and engineer features for training models. Apply deep learning, NLP, and classical ML techniques. Integrate AI models into backend services using Python (e.g., FastAPI, Flask). Collaborate with cross-functional teams (e.g., UI/UX, DevOps, product managers). Evaluate and experiment with emerging open-source models (e.g., LLaMA, Mistral, GPT). Stay current with advancements in AI/ML and suggest opportunities for innovation. Required Skill Set : Technical Skills: Programming Languages: Python (strong proficiency), experience with NumPy, Pandas, Scikit-learn. AI/ML Frameworks: TensorFlow, PyTorch, HuggingFace Transformers, OpenCV (nice to have). NLP & LLMs: Experience with language models, embeddings, fine-tuning, and vector search. Prompt Engineering: Experience designing and optimizing prompts for LLMs (e.g., GPT, Claude, LLaMA) for various tasks such as summarization, Q&A, document extraction, and multi-agent orchestration. Backend Development: FastAPI or Flask for model deployment and REST APIs. Data Handling: Experience in data preprocessing, feature engineering, and handling large datasets. Version Control: Git and GitHub. Database Experience: SQL and NoSQL databases; vector DBs like FAISS, ChromaDB, or Qdrant preferred. Nice to Have (Optional): Experience with Docker, Kubernetes, or cloud environments (Azure, AWS). Familiarity with LangChain, LlamaIndex, or multi-agent frameworks (CrewAI, AutoGen). Soft Skills: Strong problem-solving and analytical thinking. Eagerness to experiment and explore new technologies. Excellent communication and teamwork skills. Ability to work independently in a fast-paced, dynamic environment. Innovation mindset with a focus on rapid prototyping and proof-of-concepts. Educational Qualification: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Certifications in AI/ML or cloud platforms (Azure ML, TensorFlow Developer, etc.) are a plus.

Job Title- Name List Screening and Transaction Screening Model Strats, AS Role Description Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Banks business and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. You will work within the Global Strategic Analytics Team as part of a global model strategy and deployment of Name List Screening and Transaction Screening. To be successful in that role, you will be familiar with the most recent data science methodologies and have a delivery-centric attitude, strong analytical skills, and a detail-oriented approach to breaking down complex matters into more understandable details. The purpose of Name List Screening and Transaction Screening is to identify and investigate unusual customer names and transactions and behavior, to understand if that activity is considered suspicious from a financial crime perspective, and to report that activity to the government. You will be responsible for helping to implement and maintain the models for Name List Screening and Transaction Screening to ensure that all relevant criminal risks, typologies, products, and services are properly monitored. We are looking for a high-performing Associate in financial crime model development, tuning, and analytics to support the global strategy for screening systems across Name List Screening (NLS) and Transaction Screening (TS). This role offers the opportunity to work on key model initiatives within a cross-regional team and contribute directly to the banks risk mitigation efforts against financial crime. You will support model tuning and development efforts, support regulatory deliverables, and help collaborate with cross-functional teams including Compliance, Data Engineering, and Technology. Your key responsibilities Support the design and implementation of the model framework for name and transaction screening including coverage, data, model development and optimisation. Support key data initiatives, including but not limited to, data lineage, data quality controls, and data quality issues management. Document model logic and liaise with Compliance and Model Risk Management teams to ensure screening systems and scenarios adhere to all model governance standards Participate in research projects on innovative solutions to make detection models more pro-active Assist in model testing, calibration and performance monitoring. Ensure detailed metrics & reporting are developed to provide transparency and maintain effectiveness of name and transaction screening models. Support all examinations and reviews performed by regulators, monitors, and internal audit Your skills and experience Advanced degree (Masters or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics) 13 years experience in data analytics or model development (internships included). Proficiency in designing, implementing (python, spark, cloud environments) and deploying quantitative models in a large financial institution, preferably in Front Office. Hands-on approach needed. Experience utilizing Machine Learning and Artificial Intelligence Experience with data and the ability to clearly articulate data requirements as they relate to NLS and TS, including comprehensiveness, quality, accuracy and integrity Knowledge of the banks products and services, including those related to corporate banking, investment banking, private banking, and asset management

Overview We’re looking for a detail-oriented people leader to manage GTM systems execution and Salesforce administration. In this role, you’ll ensure our technology stack is stable, scalable, and aligned with evolving business needs across Sales, Marketing, Services, and RevOps. You’ll lead system configuration, automation, and support processes, manage day-to-day intake and prioritization, and drive efficient task allocation across a global team. You'll ensure strong documentation, change governance, and cross-functional alignment, while optimizing integrated tools like Outreach, LeanData, ZoomInfo, and Clari. This role requires strong collaboration across U.S. and India-based teams and a forward-looking mindset to explore AI-driven automation and system enhancements that keep our GTM operations future-ready. Responsibilities Oversee GTM Systems Execution and Salesforce Administration - You will be responsible for ensuring the operational stability, scalability, and effectiveness of our GTM systems, with Salesforce at the center. This includes leading all configuration, automation, and administrative workstreams while ensuring the platform evolves alongside changing business needs. You will serve as a thought partner to stakeholders across RevOps, Sales, Marketing, and Services to align technology capabilities with GTM strategy. Lead Case Intake and Support Resolution Processes - You will manage the team’s day-to-day intake queue, overseeing all support cases and enhancement requests. You will drive the prioritization, assignment, and closure of issues—ensuring SLAs are met and stakeholders are consistently informed. This includes designing and maintaining intake triage routines, escalation paths, and internal communications frameworks that allow the team to operate with urgency and discipline. Maximize Team Productivity Through Work Allocation and Coaching - You will serve as the primary driver of task delegation within the GTM Systems team. This includes understanding individual team members’ strengths and growth areas, optimizing work assignments, and removing blockers. You will foster a high-performance culture by enabling your team to operate efficiently, deliver scalable solutions, and continuously upskill in key technologies. Ensure Robust Documentation and Governance of System Changes - You will enforce structured release management and change control practices, ensuring all enhancements, configurations, and automation are documented appropriately. This includes maintaining version control, sandbox testing protocols, deployment logs, and post-implementation validation. You’ll collaborate with Data Governance and Enterprise Systems stakeholders to ensure changes align with internal policies and audit readiness requirements. Drive Operational Excellence Across GTM Tech Stack - Beyond Salesforce, you will oversee or collaborate on the management of integrated GTM tools such as Outreach, ZoomInfo, LeanData, and Clari. You will identify system gaps, manual workarounds, or inefficiencies across the stack, and lead the delivery of high-impact improvements. You will play a central role in evaluating and piloting new technologies that support scale and automation. Collaborate Across Geographies and Functions - This role requires seamless coordination across U.S. and India-based teams. You will maintain a consistent 50% overlap with EST hours to ensure alignment with U.S.-based stakeholders, while also remaining deeply embedded with India-based team members. You will act as a key cross-functional bridge—ensuring handoffs are clear, feedback loops are closed, and global system priorities remain synchronized. Champion AI-Driven GTM Systems Optimization - You will stay informed on the latest developments in AI-enabled systems administration, including agent-based workflow automation and predictive rule engines. You’ll explore opportunities to use AI for support triage, duplicate detection, intelligent routing, and performance insights, in collaboration with our enterprise technology partners. Your leadership will help ensure GTM systems remain modern and future-ready. Qualifications 8+ years of experience supporting or administering Salesforce in an enterprise or high-growth SaaS environment 4+ years of experience in a leadership or management role overseeing technical Salesforce teams or GTM systems teams Salesforce Administrator certification required; additional certifications (e.g., Platform App Builder, Advanced Admin) preferred Proven experience managing Salesforce case queues and leading configuration/enhancement delivery processes Hands-on knowledge of automation tools like Flow, Process Builder, and Apex triggers/workflows Experience with integrated GTM tools such as Outreach, ZoomInfo, LeanData, and Clari Demonstrated ability to manage global stakeholders and operate across time zones, with 50% EST overlap required Exposure to or experience implementing AI-enabled capabilities in Salesforce or GTM workflows is a strong plus Strong communication skills, with the ability to influence stakeholders and present complex technical topics in clear, actionable terms

3–5 years of experience as a Product Owner, ideally in cybersecurity or cloud-based environments. Exposure to or experience with Agentic AI technologies. Certifications in Product Ownership, Agile, or Cybersecurity (e.g., CSPO, CSM, CISSP) are a plus

Position Overview: We are seeking a Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you re seeking an environment for continuous learning and improvement, we d love to hear from you! Virtana is a remote first work environment so you ll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. Job Location- Pune/ Chennai/ Remote You can schedule with us through Calendly at https: / / calendly.com / bimla-dhirayan / zoom-meeting-virtana Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Implement different models AI and ML algorithms for prototype and production systems. Test and refine the models and algorithms with live customer data to improve accuracy and efficacy. Work with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform Qualifications: The ideal candidate must have the following qualifications: 3+ years experience in practical implementation and deployment of ML based systems preferred. BS/B Tech or M Tech/ MS (preferred) in Applied Mathematics or Statistics, or CS/Engineering with strong mathematical/statistical background Strong quantitative and analytical skills, especially statistical and ML techniques, including familiarity with different supervised and unsupervised learning algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python Experience in developing and deploying on cloud (AWS or Google or Azure) Experience in understanding and usage of LLM models and Prompt engineering is preferred. Good verbal and written communication skills Familiarity with well-known ML frameworks such as Pandas, Keras and TensorFlow

WHS (Workplace Health & Safety) is seeking a Senior Product Manager Technical (Sr. PMT) to lead an important set of products for our global safety operations. As a Sr. PMT for Amazons WHS Data-Tech organization, you will play a vital role in inventing, simplifying, and scaling Amazons technology products that have a tangible impact on the safety of our global workforce. We seek a product leader who can manage large, cross-functional technology programs and projects. In this role, you will be responsible for driving multiple technical product initiatives that deliver critical health and safety capabilities requiring coordination with technology and operations teams worldwide. You will collaborate with a group of technical product managers, developers, data engineers, and data scientists to provide products and services that deliver insights and improve the safety processes of WHS worldwide. The right candidate will possess a strong product and technology background. You must be able to thrive and succeed in a challenging entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means you are not only able to develop and drive high-level strategic initiatives but can also roll up your sleeves, dig in and get the job done. As a Sr. PMT, you will anticipate bottlenecks, provide escalation management, make trade-offs, and balance business needs versus technical constraints. An ability to take large, complex products and break them down into manageable pieces, develop functional specifications, then deliver them in a successful and timely manner is expected. Product Management: Leverage your strong foundation in product management concepts and methodologies to deliver on product strategy, roadmaps, and prioritization of features for safety products and solutions. Unified User Experience: Identify user needs through user research, onsite visits, and Voice of Associate (VoA) mechanisms. Work closely with program and engineering teams to build unified user interfaces to streamline user experience. Communication and Collaboration: Communicate product visions, goals, and requirements to diverse stakeholders, including Program, Operations, Technology, and Finance teams. Facilitate collaboration among cross-functional teams to ensure smooth product development. About the team WHS Data-Techs charter is to deliver technology solutions and data insights that help reduce workplace risks and injuries at Amazon. Our customers are Worldwide (WW) Operations and the WHS organization. The technology solutions landscape for WHS Data-Tech includes web applications built using native Amazon Web Services (AWS) technologies and device-software hybrid solutions that leverage generative artificial intelligence (AI), computer vision, sensors and Internet of Things (IoT) technologies. Additionally, the team conducts scientific research and modeling to generate safety insights and provides analytical solutions, ranging from senior leadership deliverables to individual business unit specific reports. Experience owning/driving roadmap strategy and definition Experience with feature delivery and tradeoffs of a product Experience contributing to engineering discussions around technology decisions and strategy related to a product Experience managing technical products or online services Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning 5+ years of end to end product delivery experience Bachelors degree in Engineering, Science, Analytics, or Business Administration Experience in using analytical tools, such as Tableau, Qlikview, QuickSight Experience in building and driving adoption of new tools Masters degree in Engineering, Science, Analytics, or Business Administration

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing smalland mid-market accounts to enterprise-level customers including public sector. Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) modelsWant to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI)Eager to learn from many different enterprise s use cases of AWS ML and DLThrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world s AI technology At AWS ProServe India LLP ( ProServe India ), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our internal customers to address business needs of AWS customers using AI. AWS Professional Services is a unique consulting team in ProServe India. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML or DL models, we d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. If you do not live in a market where we have an open Data Scientist position, please feel free to apply. Our Data Scientists can live in any location where we have a Professional Service office. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include: Understand the internal customer s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances . Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models. Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models. Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data. Work with our Professional Services DevOps consultants to help our internal customers operationalize models after they are built. Assist internal customers with identifying model drift and retraining models. Research and implement novel ML and DL approaches, including using FPGA. This role is open for Mumbai / Pune / Bangalore / Chennai / Hyderabad / Delhi / Pune. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn t followed a traditional path, or includes alternative experiences, don t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We re continuously raising our performance bar as we strive to become Earth s Best Employer. That s why you ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there s nothing we can t achieve in the cloud. 7+ years of professional or military experience, including a Bachelors degree. 7+ years managing complex, large-scale projects with internal or external customers. Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Skilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon Machine Learning) to build models for internal customers. 7+ years of IT platform implementation in a technical and analytical role experience. Experience in consulting, design and implementation of serverless distributed solutions. Experienced in databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and managing complex, large-scale customer-facing projects. Experienced as a technical specialist in design and architecture, with expertise in cloud-based solutions (AWS or equivalent), systems, networks, and operating systems.

About the Role We are looking for a Data annotator who would be responsible for working closely with data scientists, machine learning engineers, and other team members to provide critical annotated data that will be used to train, validate, and test various models. This role requires accurately labeling data to ensure the highest quality datasets for machine learning and artificial intelligence applications. Responsibilities Accurately annotate large volumes of data, including image, text, audio, and video data, according to specified guidelines and standards. Organize and maintain annotated datasets, ensuring that data is properly labeled and stored. Review and validate annotations completed by other team members to ensure accuracy and consistency. Work closely with machine learning engineers to understand project requirements and provide insights into annotation processes. Suggest and implement improvements to annotation processes and workflows to enhance productivity and data quality. Utilize and provide feedback on annotation tools and software to improve efficiency and accuracy. Requirements 2-3+ years of proven experience in data annotation and image labeling tasks, ensuring high accuracy and consistency. Exceptional attention to detail and accuracy in data labeling tasks. Familiarity with data annotation tools and software. A basic understanding of machine learning concepts is a plus. Strong analytical skills with the ability to understand and follow complex guidelines and instructions. Strong written and verbal communication skills for clear documentation and collaboration. Ability to work as part of a collaborative team. Bachelor s degree in any field. Location: Ahmedabad/Pune

The Role We are seeking a dynamic and experienced Sr PM of Artificial Intelligence to lead AI product strategy and execution in Vehicle Claims. The Senior PM for Artificial Intelligence will be responsible for overseeing the development and management of AI-driven products. This role requires a deep understanding of AI technologies, market trends, and customer needs. The successful candidate will collaborate with cross-functional teams to deliver innovative AI solutions that align with our business objectives and drive growth. What You ll Do Strategic Leadership: Define and execute the product strategy for AI products in Vehicle claims, ensuring alignment with company goals and market demands. Innovation: Stay abreast of the latest advancements in AI technology and industry best practices. Foster a culture of innovation within the product team. Product Roadmap: Develop and manage a comprehensive product roadmap, prioritizing features and initiatives based on customer feedback, market research, and business impact. Market Analysis: Conduct market and competitive analysis to identify trends, opportunities, and threats. Use this information to inform product development and positioning. Customer Engagement: Engage with customers and stakeholders to understand their needs and pain points. Translate these insights into product requirements and enhancements. Cross-functional Collaboration: Work closely with engineering, data science, marketing, sales, and customer support teams to ensure successful product development and launch. Performance Metrics: Define and track key performance indicators (KPIs) to measure the success of AI products. Use data-driven insights to make informed decisions and drive continuous improvement. Compliance and Ethics: Ensure that AI products adhere to ethical guidelines, regulatory requirements, and company policies. What You ll Bring Education: Bachelors degree in Computer Science, Engineering or a related field from a top university (IIT, or similar abroad) . MBA (from top university, IIM or similar abroad) is strongly preferred. Experience: 5+ years of experience in product management, with experience managing end customer products with AI and/or related technologies. Technical Proficiency: Strong understanding of AI technologies, including LLMs, machine learning, natural language processing, computer vision, and data analytics. Leadership Skills: Proven ability to lead and inspire cross-functional teams, manage complex projects, and drive strategic initiatives. Analytical Skills: Excellent analytical and problem-solving skills, with the ability to leverage data to inform product decisions. Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences. Customer Focus: Deep commitment to understanding and meeting customer needs, with a track record of delivering successful products. Innovation Mindset: Passion for innovation and staying ahead of industry trends and technological advancements.

Role & responsibilities We are looking for Senior Gen AI Engineer permanent position with MNC company for Remote. Preferred candidate profile Senior Gen AI Engineer GenAI / ML (Python, Langchain) Full Time Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

The Role We are seeking a dynamic and experienced Sr PM of Artificial Intelligence to lead AI product strategy and execution in Vehicle Claims. The Senior PM for Artificial Intelligence will be responsible for overseeing the development and management of AI-driven products. This role requires a deep understanding of AI technologies, market trends, and customer needs. The successful candidate will collaborate with cross-functional teams to deliver innovative AI solutions that align with our business objectives and drive growth. What You ll Do Strategic Leadership: Define and execute the product strategy for AI products in Vehicle claims, ensuring alignment with company goals and market demands. Innovation: Stay abreast of the latest advancements in AI technology and industry best practices. Foster a culture of innovation within the product team. Product Roadmap: Develop and manage a comprehensive product roadmap, prioritizing features and initiatives based on customer feedback, market research, and business impact. Market Analysis: Conduct market and competitive analysis to identify trends, opportunities, and threats. Use this information to inform product development and positioning. Customer Engagement: Engage with customers and stakeholders to understand their needs and pain points. Translate these insights into product requirements and enhancements. Cross-functional Collaboration: Work closely with engineering, data science, marketing, sales, and customer support teams to ensure successful product development and launch. Performance Metrics: Define and track key performance indicators (KPIs) to measure the success of AI products. Use data-driven insights to make informed decisions and drive continuous improvement. Compliance and Ethics: Ensure that AI products adhere to ethical guidelines, regulatory requirements, and company policies. What You ll Bring Education: Bachelors degree in Computer Science, Engineering or a related field from a top university (IIT, or similar abroad) . MBA (from top university, IIM or similar abroad) is strongly preferred. Experience: 5+ years of experience in product management, with experience managing end customer products with AI and/or related technologies. Technical Proficiency: Strong understanding of AI technologies, including LLMs, machine learning, natural language processing, computer vision, and data analytics. Leadership Skills: Proven ability to lead and inspire cross-functional teams, manage complex projects, and drive strategic initiatives. Analytical Skills: Excellent analytical and problem-solving skills, with the ability to leverage data to inform product decisions. Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences. Customer Focus: Deep commitment to understanding and meeting customer needs, with a track record of delivering successful products. Innovation Mindset: Passion for innovation and staying ahead of industry trends and technological advancements.

About Reputation Reputation has changed the way companies improve their customer experience through feedback. Based in Silicon Valley and founded in 2013, Reputation is the only platform that empowers companies to fulfill their brand promise by measuring, managing, and scaling their reputation performance in real-time, everywhere. Functioning as a business eyes and ears in the spaces where customers talk, post, review, and recommend, Reputation AI-powered product stack analyzes vast amounts of public and private feedback data to uncover predictive insights for companies to act on, and improve their online reputations. Visit reputation.com to learn more. Reputation continues to earn recognition as a trusted leader in both innovation and partnership. Most recently, the company was named an Inc. Power Partner , a distinction awarded to B2B organizations with a proven track record of helping clients thrive. Reputation was also officially Certified as a Great Place to Work , reflecting its commitment to cultivating a world-class culture that fuels long-term success for employees and customers alike. Why Work at Reputation Reputation has achieved substantial annual recurring revenue from Global Fortune 1000 companies and continues to grow worldwide. Weve secured significant funding from A-list venture capital firms such as Bessemer Venture Partner and Kleiner Perkins, including a major equity financing from Marlin Equity Partners in January 2022. Reputation is trusted by more than 250 partners, including Google, Meta, Yelp, Apple Business Connect, Healthgrades and Entrata. The platform is used by major automotive OEMs and thousands of their new vehicle dealerships. Additionally hundreds of healthcare systems and their locations, along with top property management firms have integrated Reputation within their organizations. Our executive management team is committed to building a performance-based culture where excellence is rewarded and careers are developed. Who thrives at ReputationManagers who embody a player-coach mentality. Employees who value teamwork and cross-functional collaboration. People who emphasize perseverance and hustle over quick wins and luck. Our Mission: Help businesses always know what their customers are saying about them and always act on that feedback. Reputation is seeking a Full Stack Software Engineer to help push our enterprise social media SaaS application forward. This position will work on a wide variety of projects relating to the social suite of products offered to our clients. We are looking for engineers who can build simple, fast, and elegant software. The Reputation Engineering team is small, flat, and close knit. We want to hear from you if you are ready to build your technical skill set in a fast-paced, CI/CD environment. Responsibilities: Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.). Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation, and delivery of high-quality products to our users. Work in a fast-paced CI/CD Kanban environment and participate actively in feature development and bug resolution Capability to manage multiple projects with material-technical risk across teams and processes; may serve as a functional lead or technical owner. Work on several Reputation products to extend functionality and to maintain zero customer-reported bugs. Be a mentor for colleagues and help promote knowledge-sharing Additional duties as assigned. Qualifications: 2-5 years of experience in designing & implementing highly interactive UI for high-volume, robust web applications. Must be a graduate in BTECH/BE/MS/MTECH - IT/CS/Machine Leaning/Data Science/Artificial Intelligence Solid programming skills in JavaScript and Java/J2EE, with experience building reusable components using JavaScript libraries such as React and Node.js. Experience with Spring Boot for building scalable and efficient backend services. Proven ability to design, develop, and maintain microservices-based applications. Experience using GoLang to build and optimize data pipelines. Advanced knowledge of data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations. Hands-on experience with NoSQL databases, such as MongoDB, Elasticsearch, and BigQuery, including development, troubleshooting, and performance optimization. Observability experience or willingness to learn. Experience working in a cloud environment and developing scalable, distributed systems. Strong sense of empathy for end-users, with a drive to enhance their experience. Comfortable working with data-intensive applications and performance-critical systems. We understand that not everyone will have experience with every technology, but familiarity with any of the following will help you stand out: GraphQL RabbitMQ Redis Elasticsearch Social Media APIs (Facebook, Instagram, LinkedIn, Twitter, YouTube, TikTok, etc) When you join Reputation, you can expect: Flexible working arrangements. Career growth with paid training tuition opportunities. Active Employee Resource Groups (ERGs) to engage with. An equitable work environment. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. At Reputation, we re committed to building a workforce that reflects a broad range of backgrounds, experiences, and perspectives. We believe that diversity strengthens our team, drives innovation, and helps us better serve our customers and communities. Through inclusive hiring practices and ongoing initiatives, we strive to create a workplace where everyone feels valued and empowered to contribute. Additionally, we offer a variety of benefits and perks, such as: Health Insurance & Wellness Benefits : Group Health Insurance: Medical Insurance with floater policy of up to 10,00,000 for employee + spouse + 2 dependent children + 2 parents / parent-in-laws Maternity Benefits : Medical insurance up to 75,000 INR, 26 weeks of leave for birth, adoption or surrogacy Life Insurance : Insurance at 3x annual cost to the company (Term Insurance, GPA) Accident/Disability Insurance : Insured at 3x base salary for permanent total disability, permanent partial disability and temporary total disability (GPA) OPD : of 7500 per annum per employee Leaves 10 Company observed holidays a year (Refer to the Holiday Calendar for the Year) 12 Casual/Sick leaves (Pro-rata calculated) 2 Earned Leaves per Month (Pro-rata calculated) 4 Employee Recharge days (aka company holiday/office closed) Maternity & Paternity (6 months) Bereavement Leave (10 Days) Car Lease: Reputation is offering a Car Lease Program that allows employees to lease a car with no upfront cost or down payment. They benefit from a fixed monthly lease rental and 20-30% tax savings. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. To learn more about how we handle the personal data of applicants, visit our Candidate Privacy Notice . Applicants only - No 3rd party agency candidates.

-SQL, Any NO-SQL database like MongoDB, ElasticSearch -Data Visualization tools like Kibana -Expertise in visualizing big datasets, monitoring data, familiar with implementing anomaly detection. -Proficiency with deep learning frameworks. -Proficiency with Python and basic libraries for machine learning -Familiarity with Linux. -Ability to select hardware to run an ML model with the required latency -Any one cloud technology - AWS, Google Cloud or similar technology. -Python using machine learning libraries (Pytorch, Tensorflow), Big Data, Hadoop, HBase, Spark, etcDeep understanding of data structures, algorithms, and excellent problem-solving skills. Andheri East-Mumbai -Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. -Develop scalable infrastructure that automates training and deployment of ML models -Managing available resources such as hardware, data, and personnel so that deadlines are met. -Data visualizations and data comprehension. -Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems. -Work with and mentor fellow Data and Software Engineers to build other parts of the infrastructure. -Effectively communicating your needs and understanding product challenges. -Building core of Artificial Intelligence and AI services such as Decision Support, Vision, Speech, Text, NLP, NLU, and others. -Leverage Cloud technology - AWS or similar technology. -Experiment with ML models in Python using machine learning libraries, Big Data, Hadoop, HBase, Spark, etc. Any. About Propellum Propellum is a leading job automation solution that has enabled job boards across the world to scale limitlessly and distinguish themselves from the competition. Empowering leading job boards since 1998, our rock-solid technology backed by super-efficient customer service and team of domain experts has been one of the defining reasons for our success.

SUMMARY We are seeking a Machine Learning Analyst with a strong foundation in Engineering or a related Quantitative Sciences discipline. While prior experience in Machine Learning is not mandatory, candidates with exposure to Machine Learning and Deep Learning (if any) are expected to demonstrate a rigorous understanding of the concepts they are familiar with. The ideal candidate must be a quick learner and demonstrate strong analytical skills, clear thinking and structured problem-solving, strong quantitative aptitude, a willingness to learn, high self-motivation, and a diligent work ethic. ABOUT US Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems, and develop practical AI solutions to tackle these issues with the aim of making a substantial positive impact. We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design and user research. In the Press: Our Founder Donors are among the Top 100 AI Influencers G20 India s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally. Unlocking the potentials of AI in Public Health Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.org Winner of the H&M Foundation Global Change Award 2022 Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellow PRE-REQUISITES ML Analyst position is open to all with prior training in Engineering or any related Quantitative Sciences discipline No prior experience in Machine Learning or Deep Learning is required Candidates with exposure to ML/DL (if any) are expected to have a clear and rigorous understanding of the concepts they are familiar with Strong skills in data handling, and logical problem-solving Demonstrates a quick learning ability, and a strong work ethic Willingness to take on any task, learn new tools, and adapt to evolving project needs ROLES & RESPONSIBILITIES Work closely with data to support the development of ML and DL solutions Conduct experiments under guidance and report results reliably Learn to derive insights from experimental outcomes and determine appropriate next steps Prepare, curate, and analyse datasets for training and evaluation Monitor incoming data streams and perform regular quality checks Assist in training and inference of ML models, including deep learning architectures Contribute to well-documented and maintainable codebases Document work clearly and consistently with high standards Communicate and present experimental findings and results clearly within the team Learn and apply best practices across ML development, coding, documentation, and experimentation Collaborate effectively with project teams to meet milestones and deliverables Proactively seek help and feedback when needed Work efficiently with tools like Unix, VS Code, GitHub, and Docker Develop proficiency with common ML tools and libraries such as Pandas, Scikit-learn, PyTorch, Excel (pivot tables), Matplotlib, Weights & Biases DESIRED COMPETENSIES Demonstrates curiosity, humility, and a strong motivation to learn and grow Takes full ownership of tasks; highly diligent, detail-oriented, and accountable Willing to engage in all types of work from data cleaning and exploration to debugging and tooling Comfortable sitting with raw data to explore, understand and derive insights, and not just focused on modelling Proactively seeks guidance and independently builds knowledge when needed Approaches every task with a quality-first mindset; no task is considered beneath them Identifies recurring patterns and abstracts them into reusable, generalisable workflows Contributes across the entire ML lifecycle including data preparation, experimentation, and analysis Selects and applies appropriate tools; builds efficient, reliable, and repeatable processes Maintains a high standard of error-free work; reviews and validates work thoroughly Collaborates effectively with cross-functional teams Communicates clearly and constructively, with an emphasis on precision and clarity We are committed to promoting diversity and the principle of equal employment opportunity for all our employees and encourage qualified candidates to apply irrespective of religion or belief, ethnic or social background, gender, gender identity, and disability.

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We re a technology company that leads with our humanity driving our business priorities alongside meaningful social, community, and societal impact. How You Will Contribute: As an AI Verification Engineer , you will report to the [Insert Hiring Manager Title or Name], and work closely with cross-functional teams to ensure the quality, performance, and security of AI-powered components embedded within Ciena s intelligent networking solutions. You will be a key player in validating AI/ML models, prompt engineering strategies, and knowledge base integrations to drive scalable and trustworthy AI solutions. Key responsibilities include: Designing and executing comprehensive test strategies and frameworks for LLM-powered AI agents and applications. Conducting adversarial and edge-case testing to ensure robustness and mitigate risks such as RAG poisoning or prompt injection. Validating the accuracy, concurrency, and effectiveness of RAG pipelines and knowledge base integrations. Engineering and optimizing prompts for generative models using techniques like zero-shot, few-shot, and chain-of-thought prompting. Collaborating with AI/ML and DevOps teams to resolve performance issues and contribute to continuous improvement efforts. The Must Haves: Bachelor s or Master s degree in Computer Science , Data Science , Artificial Intelligence , or a related field. 4+ years of experience in software testing, preferably focused on AI/ML or cloud-based systems. Proficient in Python or similar programming languages. Hands-on experience with AI/ML model testing methodologies (functional, performance, integration, security, metamorphic testing, etc.). Working knowledge of APIs , SQL/NoSQL databases , and CI/CD pipelines . Experience validating and troubleshooting large-scale datasets, data pipelines, and LLM applications. Understanding of AI vulnerabilities and risk mitigation strategies in model validation. Assets: Experience with prompt engineering , including iterative refinement and prompt performance evaluation. Familiarity with frameworks such as TensorFlow , PyTorch , or Google ADK . Exposure to testing and evaluating RAG pipelines and knowledge-grounded AI systems. Background in AI system security , including adversarial testing and prevention strategies. Strong communication skills and the ability to document reusable test and prompt strategies effectively. #LI-FA Not ready to apply? Join our Talent Community to get relevant job alerts straight to your inbox. At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination.

Assistant Professor (Computer Science) Academic Level 10 Sri Sathya Sai Institute of Higher Learning (SSSIHL) Assistant Professor (Computer Science) Academic Level 10 Department of Mathematics and Computer Science, Anantapur Campus SSSIHL/24-25/DMACS/ACA/041 Full-time (Women applicants) Salary: Basic: 57,700 + Dearness Allowance (DA) & House Rent Allowance (HRA) as per Institute rules Higher qualifications and relevant experience will be considered ESSENTIAL QUALIFICATIONS & EXPERIENCE Ph.D. in Computer Science, specializing in any of the following thrust areas: i) Artificial Intelligence ii) Machine Learning iii) Deep Learning iv) Computer Vision v) Computer Networking and Communications vi) Cyber Security vii) Cloud Computing Master s degree in M.Sc. /M.Tech in Computer Science or MCA with a Bachelor s degree in Computer Science / Information Technology / Mathematics / Electronics / Allied Fields. Must have cleared UGC NET/CSIR NET/SLET/SET (unless exempted as per UGC regulations for Ph.D. holders). Good academic performance in relevant fields from a recognized University/Institute Research-oriented mindset with a focus on academic excellence. Ability to integrate modern learning tools and research methodologies Proficiency in English and ability to mentor students effectively Commitment to SSSIHL s code of conduct and values-based integral education system KEY RESPONSIBILITIES Teaching and Academic Leadership Teach courses such as Database Management Systems, Object-Oriented Programming Concepts, Computer Organization and Design, Operating Systems, Computer Networks, Software Engineering, Design and Analysis of Algorithms, etc. Handle lab courses such as C++, Java, Python, Web Programming, Linux System Programming, etc. Active participation in curriculum design aligned with Outcome-Based Education (OBE) principles. Integrate modern pedagogical approaches, including experiential learning and digital tools. Enable experiential learning Research and Innovation Conduct high-impact research in any of the following thrust areas, aligning with institutional focus areas such as Health, Energy, and Environment: i) Artificial Intelligence ii) Machine Learning iii) Deep Learning iv) Computer Vision v) Computer Networking and Communications vii) Cyber Security Publish in reputed peer-reviewed journals and present research findings at national and international conferences. Collaborate with industry and academic institutions to strengthen research initiatives and foster innovation. Seek and secure funded projects to support research and technological development. Student Engagement and Mentorship Participation in curricular, co-curricular activities Mentor students in academic and career development, including research guidance. Support student engagement in competitive exams, innovation challenges, and extracurricular activities. Actively participate in departmental and institutional committees, contributing to academic and administrative activities Participate in NAAC-related data collection activities. STEP 2 Attach your detailed resume (must include details of Ph.D. qualification, NET/SLET/SET or other national level exams passed, teaching/professional experience, roles, and responsibilities in chronological order, list of research publications published in reputed UGC CARE journals and conference presentations & proceedings, list of research projects, significant achievements/recognitions, post-docs and research students guided, Areas of expertise and courses taught at UG/PG level, and at least two references (academic and/or professional) STEP 3 Scanned copies of all certificates/documents related to your educational qualifications and professional experience Applicants desiring to apply for more than one position should submit separate applications for each. SSSIHL reserves the right to reject application forms that are incomplete and not as per specified requirements. SSSIHL reserves the right to call only the requisite number of candidates for an in-person demo and/or interview after shortlisting based on the candidate s suitability for the vacant position. There will be no personal communication with candidates other than those shortlisted for the interview. All applicants are required to ensure that all the information submitted (Resume, Annexure form,and documents) is accurate and correct for scrutiny If any application is found to contain information that is inaccurate or false either during the employment process or after the appointment of the candidate, SSSIHL reserves the right to reject the application at any stage or take stringent action on the employee as deemed suitable.

We are looking for an IT Product Visionary Project Manager to build a team from scratch to work with US Based Client on various projects to deliver software products and platforms for global releases. Client: A well-known US Based software platform company specialized in marketing (pricing and promotion) Artificial Intelligence for multi-channel retailers. Client is planning to expand their operation in India, and employment with us (client partner) is expected to convert into employment with the US client within 24 to 36 months. Job Description: Experience in building IT teams from scratch Handing all the various Stakeholders Should have a track record of building a team size of minimum 50+ people in a short time. Hiring experience - Recruit and Manage positions like - Programmers / Developers, Testers, Solutions Architect, Technical Architect Proven success in end-to-end service delivery management and ensuring effective management of various resources to client requirements; capabilities in optimizing / process performance and efficiencies. Setting up and rolling out successful project / quality management in service environment, overachieving expectations and exceeding all set goals by enduring excellent customer relationships Managing project management activities encompassing planning, analysis, scope & risk management, contingency planning & resource management to ensure on-time delivery. Preferred Candidate: Willing to Join immediately. Minimum 10 to 15 years of experience in the industry 5 years of experience in building teams for IT Projects Previously worked with US Clients Experience of software product architecture, design and delivery Strong people management skills Excellent communication skills Ability to take on challenging assignments and passion to deliver.

"> Home / Home / Careers / Careers / Mid Data Scientist Mid Data Scientist Introduction We are looking for 5+years experienced candidates for this role. Job Description Strong knowledge of statistical modeling, machine learning, deep learning and GenAI. Proficiency in Python and experience optimizing code for performance. Experience with data preprocessing, feature engineering, data visualization and hyperparameter tuning. Solid understanding of database concepts and experience working with large datasets. Experience deploying and scaling machine learning models in a production environment. Familiarity with machine learning operations (MLOps) and related tools. Good understanding of Generative AI concepts and LLM finetuning. Excellent communication and collaboration skills. Bachelors or Masters degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Responsibilities include: Lead the development and deployment of machine learning/deep learning models to address key business challenges. Apply statistical modeling, data preprocessing, feature engineering, machine learning, and deep learning techniques to build and improve models. Have expertise in at least two of the following areas: computer vision, predictive analytics, natural language processing, time series analysis, recommendation systems. Expertise in GenAI models is a must. Design, implement, and optimize data pipelines for model training and deployment. Experience with any one of the model serving frameworks (e.g.,TensorFlow Serving, TorchServe, KServe, or similar). Design and implement APIs for . This is to notify jobseekers that some fraudsters are promising jobs with Reflections Info Systems for a fee. Please note that no payment is ever sought for jobs in Reflections. We contact our candidates only through our official website or LinkedIn and all employment related mails are sent through the official HR email id. for any clarification/ alerts on this subject. Apply Now