2052 Reinforcement Jobs - Page 14

We are searching for a dedicated Home Tutor for Class 7th std standard with a strong background in one or more academic subjects. The tutor/teacher will be responsible for developing lesson plans and teaching students according to their educational needs. The position offers an in-hand salary of ₹10000 - ₹40000 and career growth opportunities. Key Responsibilities: Conduct tutoring sessions for students in various subjects. Assess, track, and report on student progress. Provide feedback to students using positive reinforcement techniques. Teach students study skills, note-taking skills, and test-taking strategies. Prepare students for standardized tests and examinations. Encourage interactive and collaborative learning in sessions. Maintain a safe and positive learning environment. Job Requirements: Candidates for this role must have Graduate and 1 - 6 years of experience in the teaching field. Applicants should have leadership experience and honed skills in areas like test preparations, special education, etc.

We are seeking a dynamic and results-driven Sales Executive to promote and sell Rebar (TMT/GFRP/Reinforcement Bars). The ideal candidate should have a background in steel or construction materials sales, strong industry connections, and the ability to manage key accounts and generate new business. Identify, develop, and maintain relationships with contractors, builders, infrastructure companies, and distributors. Promote the company’s range of rebar products (TMT bars, cut & bend bars, coated rebar, etc.) to new and existing customers. Generate leads through cold calling, site visits, networking, and referrals. Understand project requirements, offer product solutions, and negotiate prices and contracts. Achieve monthly, quarterly, and annual sales targets. Prepare and deliver sales presentations and technical product demonstrations. Coordinate with logistics and dispatch teams for timely order delivery. Monitor competitor activities, pricing, and market trends. Prepare daily/weekly reports and provide feedback to senior management. Key Skills & Requirements: Bachelor’s degree in Business, Marketing, Engineering, or a related field. Minimum 2–5 years of experience in B2B sales of rebar, steel products, or construction materials. Strong communication, negotiation, and interpersonal skills. Self-motivated with a results-oriented approach. Proficiency in MS Office; experience with CRM software is a plus. Willingness to travel extensively within assigned territory.

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About The Role We are seeking a highly skilled AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role. Responsibilities Implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value, ie. revenue, engagement, and customer satisfaction. Collaborate with data product managers, software engineers and SMEs to identify AI/ML opportunities for improving process efficiency. Develop production-grade ML models to enhance customer experience, content recommendation, content generation, and predictive analysis. Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up-to-date with the latest in machine learning and artificial intelligence, and influence AI/ML for the Life science industry. Stay up-to-date with the latest in machine learning and artificial intelligence, and influence AI/ML for the Life science industry. Requirements 2 - 4 years of experience in AI/ML engineering, with a track record of handling increasingly complex projects. Strong programming skills in Python, Rust. Experience with Pandas, NumPy, SciPy, OpenCV (for image processing) Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch. Experience with GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs. Experience with one or more Graph DBs - Neo4J, ArangoDB Experience with MLOps platforms, such as Kubeflow or MLFlow. Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems. Thorough understanding of software product development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices. Excellent written and verbal communication skills and interpersonal skills. Advanced degree in Computer Science, Machine Learning or related field. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

Business planning & P&L Ownership Identify potential locations in assigned geographical locations & recruit right team members to develop business ( IMD recruitment , partner tie-ups ) generated from the location. Design business plan for driving sales and achieving set topline and bottom-line targets for Geo locations being managed Will own the P&L of assigned geographies & ensure profitability of the business sourced. Provide team members the required support in terms of guidance on business matters/ solutions for challenges faced etc. to ensure that they are equipped to deliver targets while optimizing turnaround time Drive business for the assigned cluster by leveraging on functional run campaigns, incentive plans to ensure team exhibit right behavior & to increase number of customers converted in markets managed Intermediary & Relationship Management Identify focus areas/ target customer segments for team members / key intermediaries and guide them to maximize revenue generated from identified target segments including cross sell and resolve business issues, if any Analyze performance of team members in various LOB’s and enable development of product portfolios for them accordingly to ensure maximization of lead/ revenue generated by each team member. Provide inputs to training team & central support team in designing and driving campaigns/ trainings programs for team members to develop their knowledge of specialized products (like cyber and home etc.) and enhance their sales capabilities Design and run engagement/ recognition programs for intermediaries to ensure they are appropriately incentivized and motivated to drive business for BAGIC Manage relationship with key intermediaries , channel partners ( Agency / Banca/Motor Dealer /VIN & CSC/ POS/ Travel/ One-Two-One ) to understand their requirements, resolve any challenges faced by them and keep them engaged to drive high sales and business Provide input to zone head in design of new products/ revisions required in existing products basis feedback from intermediaries / Channel Partners (based on their market understanding) Team Review, Monitoring & Support Review functional metrics and quality of portfolio across each agent segment and support the team with actuarial and underwriting inputs to improve the quality of portfolio Ensure Non Motor & renewal portfolio is as per the desired metrics to maintain cost of acquisition of business Provide guidance to all team members to course correct in case of deviations from planned targets Present business status to RH / AH/ zone head / NHOD during periodic reviews Address operational issues , policy issuance support , interdepartmental conflicts raised by team members to ensure seamless business acquisition. Team Development Identify the right talent for various positions within team to ensure creation of engaged team Enable training needs identification and ensure periodic trainings for all stakeholders – team members, agents etc. to ensure everyone is up to date with product and process advancements Oversee rewards and recognition within team to ensure engagement and reinforcement of right behaviors among employees and agents Establish individual performance expectations and evaluation metrics, and regularly review individual performance Identify and create development opportunities for team members to enhance functional knowledge

Job Description Summary Based at GE Power Conversion Chennai site the Services Specialist role is an exciting opportunity for an action-oriented individual with deep technical foundation of Power Conversion equipment. You will be able to leverage your technical knowledge to directly support customer through commissioning, maintaining, servicing of Power Conversion’s state of the art products and solutions across the globe, while you collaborate across the globe with key functional teams and enhance your strategic business acumen. The job will require frequent traveling up to 100 % to various client sites in India and globally. Our team of dedicated experts needs reinforcement from young or experienced colleagues. So if you find electric drive technology and the associated processes interesting, can get excited about it, and are a thoroughbred technician/engineer, then we are looking for you! Great performance needs Great Engineers! Job Description Roles and Responsibilities The Services Specialist develops practical and innovative ways to identify and meet goals. In this role you are responsible for work which is defined in scope, utilize your understanding and experience to execute business objectives, and have the ability to effect short-term and some long-term business goals. Commissioning of extensive systems consisting of power controllers, frequency converters, load commutated drives, excitation systems, Electrical machines, and load machines or production plants, such as large converters for pumped storage power plants, gas turbine power plants, and much more. Commissioning of the Medium voltage and Low Voltage variable speed drives with associated Voltage Switchgear in business segments such as Power Plants, Metals, Marine, Oil & Gas, Material handling, etc., Show-up individuality with less supervision in commissioning and service activities in Power Equipment. Should communicate clearly and follow the instructions from Site Lead or Site manager and perform the task with at most quality. Interact and assistance to the customer, user, and other GE field personnel in the operation, inspection, maintenance, and repair of assigned product lines. Perform on-site installation of systems and equipment and ongoing preventive maintenance, repair, and calibration after installation Perform unplanned/corrective maintenance and complete all necessary technical and business documentation on time and accurate. Comply with the integrity and compliance guidelines. Record keeping of day-to-day activities in digital forms. Provide technical assistance to customer representatives regarding installation, operation, calibration, repair, and maintenance at customer's sites Respond to requests for emergency repairs and services to troublesome equipment Knowledge to troubleshoot and provide routine maintenance checkout for wide range of equipment vintage Maintain strong safety mindset to assure the executed work reflects the technical requirements within GE safety standards. Ensure all work is performed in accordance with the organization’s EHS and associated policies/procedures Ensure customer satisfaction with maintenance solutions, according to the metrics of service, terms, performance, and quality. A job at this level requires good interpersonal skills. For customer facing roles, develops strong customer relationships and serves as the interface between customer and GE. Explains technical information to others. Assist customer with improving reliability and reducing cost of ownership Provide single point of contact to the customer, customer team, and all other GE stakeholders Assist the factory with data collection and timely reporting to facilitate fleet performance analysis, including marketing intelligence and sales opportunities for services, and support Assist customer with spare parts ordering & issues resolution Qualifications/Requirements Diploma/B.E / M.E or equivalent / Electrical/Electronic engineering from accredited college / university. 2 – 5 years of relevant experience Should have process knowledge of Metal / Marine / Oil & Gas / Test Bench / Material Handling / Power Plant Knowledge in Power Electronics, Low Voltage Equipment (AC/ DC) & PLC Desired Characteristics Work experience on Power converters, Generators, switchboards, AVR, excitation systems, DC Motors, and DC/ AC drives Strong oral and written communication skills Strong interpersonal and leadership skills Ability to work independently. Strong problem-solving skills Strong attention to detail Proactive self-starter and change agent & ability to work under stress environment Cross functional, ability to work on matrix environment, and international team experience Effectively communicate across all organizational levels, departments, and functions Demonstrated technical aptitude and business acumen. International experience Additional Information Relocation Assistance Provided: Yes

Designation: AI/ML Engineer Location: Gurugram Experience: 3+ years Industry: AI Product Role and Responsibilities: Model Development: Design, train, test, and deploy machine learning models using frameworks like Pytorch and TensorFlow, specifically for virtual try-on applications with a focus on draping and fabric simulation. Task-Specific Modeling: Build models for tasks such as Natural Language Processing (NLP), Speech-to-Text (STT), and Text-to-Speech (TTS) that integrate seamlessly with computer vision applications in the virtual try-on domain. Image Processing: Implement advanced image processing techniques including enhancement, compression, restoration, filtering, and manipulation to improve the accuracy and realism of draping in virtual try-on systems. Feature Extraction & Segmentation: Apply feature extraction methods, image segmentation techniques, and draping algorithms to create accurate and realistic representations of garments on virtual models. Machine Learning Pipelines: Develop and maintain ML pipelines for data ingestion, processing, and transformation to support large-scale deployments of virtual try-on solutions. Deep Learning & Draping: Build and train convolutional neural networks (CNNs) for image recognition, fabric draping, and texture mapping tasks crucial to the virtual try-on experience. AI Fundamentals: Leverage a deep understanding of AI fundamentals, including machine learning, computer vision, draping algorithms, and generative AI (Gen AI) techniques to drive innovation in virtual try-on technology. Programming: Proficiently code in Python and work with other programming languages like Java, C++, or R as required. Cloud Integration: Utilize cloud-based AI platforms such as AWS, Azure, or Google Cloud to deploy and scale virtual try-on solutions, with a focus on real-time processing and rendering. Data Analysis: Perform data analysis and engineering to optimize the performance and accuracy of AI models, particularly in the context of fabric draping and garment fitting. Continuous Learning: Stay informed about the latest trends and developments in machine learning, deep learning, computer vision, draping technologies, and generative AI (Gen AI), applying them to virtual try-on projects. Skills Required: Experience: Minimum of 5 years in Computer Vision Engineering or a similar role, with a focus on virtual try-on, draping, or related applications. Programming: Strong programming skills in Python, with extensive experience in Pytorch and TensorFlow. Draping & Fabric Simulation: Hands-on experience with draping algorithms, fabric simulation, and texture mapping techniques. Data Handling: Expertise in data pre-processing, feature engineering, and data analysis to support high-quality model development, especially for draping and virtual garment fitting. Deep Neural Networks & Gen AI: Extensive experience in working with Deep Neural Networks, Generative Adversarial Networks (GANs), Conditional GANs, Transformers, and other generative AI techniques relevant to virtual try-on and draping. Advanced Techniques: Proficiency with cutting-edge techniques like Stable Diffusion, Latent Diffusion, InPainting, Text-to-Image, Image-to-Image models, and their application in computer vision and virtual try-on technology. Algorithm Knowledge: Strong understanding of machine learning algorithms and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, natural language processing, and generative AI.

Overview Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines. You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments. Responsibilities Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope Active contributor to code & development in projects and services Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. Partner with ML engineers working on industrialization. Communicate with business stakeholders in the process of service design, training and knowledge transfer. Support large-scale experimentation and build data-driven models. Refine requirements into modelling problems. Influence product teams through data-based recommendations. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create reusable packages or libraries. Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards Leverage big data technologies to help process data and build scaled data pipelines (batch to real time) Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines Automate ML models deployments Qualifications BE/B.Tech in Computer Science, Maths, technical fields. Overall 2-4 years of experience working as a Data Scientist. 2+ years’ experience building solutions in the commercial or in the supply chain space. 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus. Fluent in SQL syntaxis. 2+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. 2+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development. Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus Programming Skills - Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators Cloud (Azure) - Experience in Databricks and ADF is desirable Familiarity with Spark, Hive, Pig is an added advantage Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool. Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities Experience with Agile methodology for team work and analytics ‘product’ creation. Experience in Reinforcement Learning is a plus. Experience in Simulation and Optimization problems in any space is a plus. Experience with Bayesian methods is a plus. Experience with Causal inference is a plus. Experience with NLP is a plus. Experience with Responsible AI is a plus. Experience with distributed machine learning is a plus Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred) Model deployment experience is a plus Experience with version control systems like GitHub and CI/CD tools Experience in Exploratory data Analysis Knowledge of ML Ops / DevOps and deploying ML models is preferred Experience using MLFlow, Kubeflow etc. will be preferred Experience executing and contributing to ML OPS automation infrastructure is good to have Exceptional analytical and problem-solving skills Stakeholder engagement-BU, Vendors. Experience building statistical models in the Retail or Supply chain space is a plus

About Us: Groww Mutual Fund Who We Are: Groww Mutual Fund, previously known as Indiabulls Mutual Fund, offers mutual fund schemes designed to suit the various needs and objectives of its investors. We are anchored by principles of simplicity, transparency, long-term wealth creation, and unwavering focus on our customers. Our fund takes pride in identifying investment avenues that combine promising growth potential with solid fundamentals. With the robust backing of Groww Invest-Tech Private Limited (formerly known as Nextbillion Technology Private Limited), our portfolio brims with a diverse range of schemes, from equity funds and hybrid funds to debt funds. Our Mission: Our foremost mission is to create steady, long-term wealth for our investors. We are relentlessly dedicated to unearthing promising opportunities and meticulously designing innovative schemes that enable our investors to harness these wealth-building potentials. What We Stand For: Simplicity and Transparency: We ensure our communication about the fund’s performance, strategy, goals, and challenges is jargon-free. Our commitment is 100% clarity, empowering investors to make informed decisions. Focus on Consistent Wealth Creation: Consistency over intensity. Our precision lies in selecting securities that consistently compound returns, paving the way for investors to realize their financial aspirations. Customer Centricity: From tailored products that align with your financial objectives, to resources that inform your decisions, to the unwavering support that underscores our care — you remain the cornerstone of our endeavors. Innovation at the Forefront: We constantly strive to redefine the landscape of wealth management through our innovative schemes, catering to varying risk levels, time horizons, and liquidity scales. Key Responsibilities: 1. Business Development with Key Accounts: • Manage and grow relationships with Banks, National Distributors, and Fintech partners. • Drive business growth by identifying new opportunities and building customized engagement plans for each account. • Support in getting product approvals, onboarding, and scaling product visibility within key accounts. • Coordinate with Product, Growth, Operations, and Marketing teams to ensure partner-specific deliverables are met. 2. Ground Reinforcement & Sales Enablement: • Act as the bridge between Key Accounts and the Sales Team to ensure on-ground alignment and deeper outcomes from central tie-ups. • Ensure smooth execution of centrally aligned projects like events, campaigns, cobranded initiatives, and tech integrations. • Partner with regional sales teams to increase visibility, product traction, and branch-level penetration across key accounts. 3. Project Execution & Follow-Through: • Track progress on ongoing strategic projects—campaigns, events, marketing activations, co-branded communication, and integrations. • Identify bottlenecks and proactively work with stakeholders to ensure timely delivery. 4. Data-Driven Thinking: • Track business metrics, partner performance, and initiative impact. • Regularly report progress and insights to the Head of Strategic Alliances. • Recommend data-backed strategies to scale engagement and performance. Desired Profile: • 4–8 years of experience in Mutual Fund distribution, preferably in roles involving National Distributors, Banks, or Fintechs. • Strong relationship management and stakeholder coordination experience. • Hands-on project execution and ability to work across cross-functional teams. • Self-starter with a strong sense of ownership and follow-through. • Excellent communication and presentation skills. • Data-driven mindset; comfortable with tracking business metrics and drawing insights. • Digital-savvy; familiarity with fintech integrations or tech-led distribution is a plus. Why Join Us: This is a unique opportunity to work closely with the leadership team and shape the direction of Groww Mutual Fund's business. If you're a hustler who enjoys strategic thinking with tactical execution, and want to be part of a rapidly scaling AMC, this role is for you.

Job Summary Seeking a Civil Site Engineer responsible for overseeing on-site civil engineering works, ensuring quality, safety, and timely completion of projects—while adhering to design plans, regulations, budgets, and stakeholder coordination. Key Responsibilities Supervise day‑to‑day site operations in alignment with design drawings, specifications, and project timelines. Set out the site and supervise survey control , level checks, foundation layout, reinforcement fixing, concreting, etc. Review and interpret technical drawings, bar‑bending schedules, and plans (architectural, structural, MEP) Coordinate with architects, consultants, contractors, subcontractors, suppliers, and local authorities Conduct material inspection and quality control to ensure compliance with specifications Ensure adherence to health, safety, and environmental regulations ; perform safety briefings and inspections Track progress: prepare daily logs , site diaries, progress reports, change orders, BOQs, and cost monitoring documentation Civil Identify site challenges; propose and implement technical solutions , plan value‑engineering or schedule adjustments Kabliotheconstructor.org. Plan and monitor procurement and utilization of labour, materials, and equipment Assist project management in budget control, scheduling, and forecasting. Essential Qualifications & Skills Bachelor’s degree in Civil Engineering or related discipline from a recognized university. 3–5 years of experience in civil construction/site engineering , especially in road infrastructure, structural works, or building construction. Strong technical knowledge of civil engineering principles, construction methodologies, and materials. Proficiency in AutoCAD, MS Project or Primavera, MS Office , and preferably software like Civil 3D Reddit Ability to interpret engineering drawings and bar‑bending schedules . Excellent communication, coordination, and leadership skills. Solid problem-solving, analytical, and organizational abilities . In-depth knowledge of local regulatory codes , safety standards, and environmental compliance. Valid driving license , and willingness to travel between sites if required . Preferred Qualifications Professional certifications like PMP , CHST , LEED , or relevant site‑safety credentials . Experience with BIM , drone‑based surveying, or Lean Construction tools. Prior experience in large-scale infrastructure projects such as highways, flyovers, or government contracts. Exposure to sustainable or green construction practices. What We Offer Competitive salary and benefits, aligned with industry norms. Opportunities for career advancement into senior site engineer, project manager, or technical leadership roles. A culture focused on safety, innovation, and continuous improvement. Exposure to diverse and high-impact projects—ideal for those aiming to build strong domain expertise. Job Type: Full-time Pay: ₹50,000.00 - ₹100,000.00 per month Benefits: Paid sick time Application Question(s): Current CTC (IN LPA) Expected CTC (IN LPA) Work Location: In person

Job Title : Civil Engineer (Site Engineer) - Structures (RCC) Experience : 1 to 4 Years Location : Financial District, Gachibowli, Hyderabad Industry : Real Estate / Construction High-rise Residential Projects (Mivan Technology) Department : Site Execution / Project Delivery Employment Type : Full Time Job Summary : We are seeking a dedicated and technically sound Tower Engineer (RCC) with hands-on experience in Mivan shuttering and high-rise residential projects. The ideal candidate should have 1 to 4 years of relevant site execution experience, particularly in reinforced concrete construction (RCC) using Mivan formwork systems. Key Responsibilities : Supervise and execute RCC structural works of towers as per project drawings and specifications. Coordinate and monitor Mivan shuttering, slab casting, reinforcement, and de-shuttering activities. Ensure strict compliance with quality, safety, and construction timelines. Conduct daily site inspections and resolve any execution-level technical issues. Maintain site documentation including pour cards, daily progress reports, and material usage logs. Coordinate with Planning, QA/QC, and Safety teams to ensure project objectives are met. Manage labor and subcontractor teams efficiently to ensure smooth workflow Report daily progress to the Site In-charge/Project Manager. Attend project meetings and contribute to resolution of site-level issues. Candidate Requirements : Education: Diploma / B.Tech / B.E. in Civil Engineering. Experience: 14 years in Mivan-based high-rise residential construction. Solid knowledge of Mivan shuttering, RCC, and structural systems in tower projects. Familiarity with construction drawings, BBS, concrete mix design, and quality norms. Ability to manage labor and multiple tasks at the site under tight deadlines. Strong communication and coordination skills. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹35,000.00 per month Work Location: In person

Job Description: Job Title: Senior Data Scientist The Purpose of this Role Are you interested in joining a fast paced and cutting-edge organization where you can make an immediate impact on the business? Do you want to be an AI/ML advocate, using data to answer important questions and shape strategy for leadership? You can be a part of the Artificial Intelligence Center of Excellence (AI CoE) within Fidelity Workplace Investing (WI) that constantly pushes the potential of data to drive the business forward! At Fidelity Workplace Investing Artificial Intelligence Center of Excellence (WI AI COE), you won’t be just tinkering around the edges, you’ll be building critical solutions that will benefit our clients and internal stakeholders for years to come. The Value you Deliver The WI AI COE is seeking a Senior Data Scientist with experience in AI/ML, Natural Language Processing (NLP), Search, virtual assistants/chatbots, large language models (LLMs), Agents/ Agentic flows, deep learning related technologies, predictive and prescriptive analytics. The Expertise and Skills You Bring Bachelor’s/ Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields 8+ years of prior relevant work experience as a data scientist Hands on experience in most of the following: AI/ML Projects, Developing Supervised and Unsupervised Machine Learning Algorithms, Deep Learning Models & Techniques, NLP, LLMs, RAG, Reinforcement Learning, Knowledge Graphs Experience in working with finetuning Large Language Models (LLMs), Prompt Engineering, RAG Applications, Vector Databases, Transformer Architectures is a desirable. Experience in Multivariate Statistics, Experimentation Setup (hypothesis testing, measurements) is also an added advantage. Proficiency in the entire Predictive Modelling life cycle – From exploratory data analysis, data cleaning, Feature Engineering to Model Building and Validation, Operationalization and Scalability and establishing decision strategies. Programming skills in Python, SQL, and hands on experience on using cloud technology platforms like AWS, Azure or GCP. Exposure to AI-centric tools like PyTorch, Langchain, Langgraphis required. Comfort with Git source control and repo-driven development. Ability to partner closely with a diverse set of business stakeholders to identify needs and deliver AI/ML solutions. Demonstrated expertise in synthesizing and presenting research and technical findings to diverse audiences, with a strong ability to quickly acquire new knowledge and a passion for continuous learning. Implement new technologies in a production environment with product, IT, and data engineering teams. How your Work Impacts the Organization The Team The Fidelity Workplace Investing AI COE is a team of data scientists developing advanced analytics and artificial intelligence solutions to support a variety of different applications for a host of clients, both internal and external, across WI. The team occupies a unique position, able to understand the business problems that both our clients and internal partners face, while applying advanced analytics, machine learning, and visualization to solve problems and provide results-oriented solutions to market. Our team of high caliber scientists, mathematicians and statisticians use rigorous quantitative approaches to ensure that we are efficiently building algorithms and technology relevant to the business or customer experience issue at hand. The Purpose of this Role Are you interested in joining a fast paced and cutting-edge organization where you can make an immediate impact on the business? Do you want to be an AI/ML advocate, using data to answer important questions and shape strategy for leadership? You can be a part of the Artificial Intelligence Center of Excellence (AI CoE) within Fidelity Workplace Investing (WI) that constantly pushes the potential of data to drive the business forward! At Fidelity Workplace Investing Artificial Intelligence Center of Excellence (WI AI COE), you won’t be just tinkering around the edges, you’ll be building critical solutions that will benefit our clients and internal stakeholders for years to come. The Value you Deliver The WI AI COE is seeking a Senior Data Scientist with experience in AI/ML, Natural Language Processing (NLP), Search, virtual assistants/chatbots, large language models (LLMs), Agents/ Agentic flows, deep learning related technologies, predictive and prescriptive analytics. The Expertise and Skills You Bring Bachelor’s/ Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields 8+ years of prior relevant work experience as a data scientist Hands on experience in most of the following: AI/ML Projects, Developing Supervised and Unsupervised Machine Learning Algorithms, Deep Learning Models & Techniques, NLP, LLMs, RAG, Reinforcement Learning, Knowledge Graphs Experience in working with finetuning Large Language Models (LLMs), Prompt Engineering, RAG Applications, Vector Databases, Transformer Architectures is a desirable. Experience in Multivariate Statistics, Experimentation Setup (hypothesis testing, measurements) is also an added advantage. Proficiency in the entire Predictive Modelling life cycle – From exploratory data analysis, data cleaning, Feature Engineering to Model Building and Validation, Operationalization and Scalability and establishing decision strategies. Programming skills in Python, SQL, and hands on experience on using cloud technology platforms like AWS, Azure or GCP. Exposure to AI-centric tools like PyTorch, Langchain, Langgraphis required. Comfort with Git source control and repo-driven development. Ability to partner closely with a diverse set of business stakeholders to identify needs and deliver AI/ML solutions. Demonstrated expertise in synthesizing and presenting research and technical findings to diverse audiences, with a strong ability to quickly acquire new knowledge and a passion for continuous learning. Implement new technologies in a production environment with product, IT, and data engineering teams. How your Work Impacts the Organization The Team The Fidelity Workplace Investing AI COE is a team of data scientists developing advanced analytics and artificial intelligence solutions to support a variety of different applications for a host of clients, both internal and external, across WI. The team occupies a unique position, able to understand the business problems that both our clients and internal partners face, while applying advanced analytics, machine learning, and visualization to solve problems and provide results-oriented solutions to market. Our team of high caliber scientists, mathematicians and statisticians use rigorous quantitative approaches to ensure that we are efficiently building algorithms and technology relevant to the business or customer experience issue at hand. Certifications: Category: Data Analytics and Insights

Location Bengaluru, India Country India Contract type Permanent Work pattern Full Time Market Buildings Discipline Structural, Building services Job ref 9385 Recruiter contact Mamta Divekar Job description:- Primarily working on Revit structural in creating 3D models and 2D drawings for general arrangement , sections, reinforcement detailing of concrete /steel buildings Knowledge of Dynamo scripts Estimating modelling hours for proposals Working closely with the project team and interface with other disciplines Working level experience on BIM360/ Autodesk construction cloud/ Bluebeam Excellent communication skills Clash detection using various tools Candidate specification:- Diploma/ Bachelor's Degree in Civil / Structural Proficiency in Revit Excellent communication skills both written and verbal Some knowledge of 3D modelling (including Revit/Civils 3D) would be an advantage Experience on UK projects and Eurocodes, will be an added advantage or preferred Agile and safe working environment Competitive annual leave and sick leaves Group incentive scheme Group term life insurance, Workmen’s compensation and Group medical insurance coverage Short and Long-term Global employment opportunities Global collaboration and knowledge sharing Digital Innovation and Transformation We can offer (subject to Company’s policy): Agile and safe working environment Competitive annual leave and sick leaves Group incentive scheme Group term life insurance, Workmen’s compensation and Group medical insurance coverage Short and Long-term Global employment opportunities Global collaboration and knowledge sharing Digital Innovation and Transformation Equality, diversity and inclusion We put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute. Agile working At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team and personal commitments. We embrace agility, flexibility and trust.

A Principal AI Engineer leads the design, development, and deployment of advanced AI systems. This role blends deep technical expertise with strategic leadership to drive innovation across AI initiatives. Key Responsibilities Architect AI Solutions: Design scalable AI systems using frameworks like LangChain, LangGraph, or Strands. Lead GenAI Projects: Build and optimize GenAI agents using RAG (Retrieval-Augmented Generation), knowledge graphs, and LLMs. Mentor Teams: Guide junior engineers and foster a culture of learning and experimentation. Collaborate Cross-Functionally: Work with product managers, data scientists, and stakeholders to align AI strategies with business goals. Stay Ahead of Trends: Research emerging technologies and integrate best practices into development cycles. Ensure Scalability & Reliability: Maintain high-performance AI platforms with robust data pipelines and cloud infrastructure. Preferred Skills Experience with multi-agent systems, reinforcement learning, and graph databases (e.g., Neo4j, Gremlin) Familiarity with MLOps, AutoGPT, CrewAI, and OpenAI Function Calling Contributions to open-source AI projects or publications in top-tier conferences About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

We are looking for a nurturing, energetic, and creative Pre-Primary Teacher to join our institution. The ideal candidate will be passionate about early childhood education and capable of fostering a warm and engaging learning environment for young learners. The teacher will play a crucial role in laying the foundation for students’ academic, social, and emotional development. Key Responsibilities: Develop and implement age-appropriate lesson plans and activities aligned with the early childhood curriculum. Foster a safe, inclusive, and stimulating classroom environment that encourages curiosity and creativity. Teach foundational skills in literacy, numeracy, communication, and motor development. Use storytelling, rhymes, play-based learning, art, and music to engage students. Monitor and document children’s progress through observations, assessments, and reports. Maintain regular communication with parents regarding student development and classroom activities. Support emotional, social, and moral development through positive reinforcement and modeling behavior. Organize events and participate in school programs, celebrations, and parent-teacher meetings. Collaborate with colleagues to enhance curriculum planning and teaching practices. Qualifications: Bachelor’s degree in Early Childhood Education / Montessori Training / NTT (Nursery Teacher Training) or equivalent. Prior experience in teaching pre-primary classes preferred. Excellent communication skills in English. Patience, empathy, and a strong understanding of child development. Desirable Skills: Creativity and enthusiasm in lesson planning and classroom activities. Strong classroom management and child engagement skills. Ability to work as part of a team and maintain a positive work environment. Basic computer skills for record-keeping and communication. Job Type: Full-time Pay: ₹20,000.00 - ₹50,000.00 per month Benefits: Flexible schedule Leave encashment Life insurance Provident Fund Work Location: In person

Company Description Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. Job Description Team Overview The Winning AI Home team, part of Freshworks' SaaS@scale mothership BU - Cloud Engineering, is seeking a highly motivated and skilled AI Applications Engineer. This role is pivotal in driving the development and deployment of cutting-edge AI solutions within our product ecosystem. Role Description We are looking for an AI Applications Engineer (IC3) with a strong full-stack background who deeply understands Large Language Models (LLMs) and the nuances between Generative AI (GenAI), Agentic AI, and AI Agents. The ideal candidate will have hands-on experience building AI applications using Agentic frameworks and possess a solid understanding of both front-end and back-end development. Responsibilities Design, develop, and deploy AI applications leveraging LLMs and Agentic frameworks. Implement and optimize Retrieval-Augmented Generation (RAG) systems to enhance LLM accuracy and contextual understanding. Develop and deploy AI Agents for multi-step reasoning and automation of complex tasks. Fine-tune pre-trained models for specific use cases and improve application performance. Collaborate with cross-functional teams to integrate AI solutions into existing products. Conduct performance benchmarking and evaluation of AI applications using metrics like groundedness, correctness, and hallucination. Ensure Responsible AI principles are integrated throughout the development lifecycle. Maintain and troubleshoot AI infrastructure on cloud platforms. Qualifications Experience : 3-7 Years AI Expertise - Strong understanding of LLMs, GenAI, Agentic AI, and AI Agents.- Experience with Agentic frameworks such as LangChain, LangGraph, and CrewAI.- Proficiency in implementing and optimizing Retrieval-Augmented Generation (RAG) systems.- Experience in developing and deploying AI Agents.- Demonstrated ability in fine-tuning pre-trained models. Programming & Development - Proficiency in Python and TypeScript/Node.js.- Good fundamentals in databases for persistent and cache requirements.- Experience with performance benchmarking and debugging. Cloud & Monitoring - Strong understanding of cloud platforms (AWS, Azure, or GCP) for deploying and managing AI infrastructure.- Experience with monitoring tools such as Prometheus and Grafana. Evaluation & Best Practices - Knowledge of Vibe coding intricacies.- Ability to evaluate AI Applications using metrics like groundedness, correctness, hallucinations, and Responsible AI.- Familiarity with Reinforcement Learning concepts and applications. Additional Information At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

Prepare and review detailed Bar Bending Schedules (BBS) for reinforcement in concrete structures. Calculate the quantity, type, and size of reinforcement bars (rebars) required for each element of the structure (slabs, beams, columns, etc.). Provide accurate detailing of bar shapes, lengths, and bends as per design drawings. Ensure that the schedule complies with structural designs and relevant codes (e.g., IS codes, ACI, etc.). Estimate and order the correct quantity of reinforcement steel required based on the BBS. Coordinate with suppliers to ensure timely delivery of materials. Liaise with structural engineers, architects, and construction teams to verify and align BBS with construction requirements. Ensure that the reinforcement is placed correctly in line with design drawings on site. Supervise the bar bending and cutting process to ensure accuracy and quality. Monitor the placement of rebar at the construction site to ensure compliance with the BBS and design specifications. Ensure that the work complies with relevant safety regulations and industry standards. Implement safety measures when handling and bending steel. Maintain proper documentation of bar bending schedules and any revisions made during the project. Provide regular updates to project managers regarding the status of reinforcement and material quantities. Job Types: Full-time, Permanent, Fresher Pay: ₹25,000.00 - ₹30,000.00 per month Benefits: Provident Fund Schedule: Day shift Supplemental Pay: Yearly bonus Education: Bachelor's (Preferred) Experience: total work: 2 years (Preferred) Work Location: In person

At Umami Bioworks, we are a leading bioplatform for the development and production of sustainable planetary biosolutions. Through the synthesis of machine learning, multi- omics biomarkers, and digital twins, UMAMI has established market-leading capability for discovery and development of cultivated bioproducts that can seamlessly transition to manufacturing with UMAMI’s modular, automated, plug-and-play production solution By partnering with market leaders as their biomanufacturing solution provider, UMAMI is democratizing access to sustainable blue bioeconomy solutions that address a wide range of global challenges. We’re a venture-backed biotech startup located in Singapore where some of the world’s smartest, most passionate people are pioneering a sustainable food future that is attractive and accessible to people around the world. We are united by our collective drive to ask tough questions, take on challenging problems, and apply cutting-edge science and engineering to create a better future for humanity. At Umami Bioworks, you will be encouraged to dream big and will have the freedom to create, invent, and do the best, most impactful work of your career. Umami Bioworks is looking to hire an inquisitive, innovative, and independent Machine Learning Engineer to join our R&D team in Bangalore, India, to develop scalable, modular ML infrastructure integrating predictive and optimization models across biological and product domains. The role focuses on orchestrating models for media formulation, bioprocess tuning, metabolic modeling, and sensory analysis to drive data-informed R&D. The ideal candidate combines strong software engineering skills with multi-model system experience, collaborating closely with researchers to abstract biological complexity and enhance predictive accuracy. Responsibilities Design and build the overall architecture for a multi-model ML system that integrates distinct models (e.g., media prediction, bioprocess optimization, sensory profile, GEM-based outputs) into a unified decision pipeline Develop robust interfaces between sub-models to enable modularity, information flow, and cross-validation across stages (e.g., outputs of one model feeding into another) Implement model orchestration logic to allow conditional routing, fallback mechanisms, and ensemble strategies across different models Build and maintain pipelines for training, testing, and deploying multiple models across different data domains Optimize inference efficiency and reproducibility by designing clean APIs and containerized deployments Translate conceptual product flow into technical architecture diagrams, integration roadmaps, and modular codebases Implement model monitoring and versioning infrastructure to track performance drift, flag outliers, and allow comparison across iterations Collaborate with data engineers and researchers to abstract away biological complexity and ensure a smooth ML-only engineering focus Lead efforts to refactor and scale ML infrastructure for future integrations (e.g., generative layers, reinforcement learning modules) Qualifications Bachelor’s or Master’s degree in Computer Science, Machine Learning, Computational Biology, Data Science, or a related field Proven experience developing and deploying multi-model machine learning systems in a scientific or numerical domain Exposure to hybrid modeling approaches and/or reinforcement learning strategies Experience Experience with multi-model systems Worked with numerical/scientific datasets (multi-modal datasets) Hybrid modelling and/or RL (AI systems) Core Technical Skills Machine Learning Frameworks: PyTorch, TensorFlow, scikit-learn, XGBoost, CatBoost Model Orchestration: MLflow, Prefect, Airflow Multi-model Systems: Ensemble learning, model stacking, conditional pipelines Reinforcement Learning: RLlib, Stable-Baselines3 Optimization Libraries: Optuna, Hyperopt, GPyOpt Numerical & Scientific Computing: NumPy, SciPy, panda Containerization & Deployment: Docker, FastAPI Workflow Management: Snakemake, Nextflow ETL & Data Pipelines: pandas pipelines, PySpark Data Versioning: Git API Design for modular ML blocks You will work directly with other members of our small but growing team to do cutting-edge science and will have the autonomy to test new ideas and identify better ways to do things.

Gen AI Architect GenAI Engineering Architect Requirements Must have : Autogen Framework, CrewAI, WrenAi, SQL Agents, AG-Grid Flask / Django / Fast API development expertise with least 2-3 project delivered as a lead developer / implementation architect. Must have : Core Python – Iterators, Generators , OOP concepts, Python Shell (REPL) and Object Relational Mapper, Data structure and Exception handling etc. Must have : AI Search,Vector Database creation for relational databses and unstructured data Must have : Azure app services expertise in terms of building and deploying AI apps using cloud services. Must have : Deep expertise in Azure SQL, Azure Data Factory , Linked Services and Azure Synapse etc. 9-10 years of overall technology experience in core application development + AI project architectural leadership of at least 3 years 5+ year’s experience leading development of AI application using Python backend frameworks and multiple inferencing pipelines Rapid PoC/Prototyping skills and expertise in building and demonstrating application blueprints without need a developer’s assistance. Deep, hands-on and architectural proficiency in Python,Ag-Grid and ReactJS Hands-on expertise of SharePoint indexes and data/file structures (Azure SQL) Good knowledge of Azure Form Recognizer for OCR of complex images, forms and other data Handson with implementing TaskWeaver, Autogen, Agentic Flows, Retrieval Augmented Generation (RAG) and RLHF (Reinforcement Learning from Human Feedback) Designing and implementing vector databases on Azure cloud using Ai Search and Cosmos DB vCore Sound project implementation level knowledge of Pinecone,FAISS,Weaviate or ChromaDB Deep expertise in Prompt Engineering using DsPy tools etc. Knowledge of NLP techniques like transformer networks, embeddings, intent recognition etc. Hands-on skills on Embedding and finetuning Azure OpenAI using MLOPS/LLMOPS pipelines. Strong communication, architectural sketching, and collaboration skills

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Vadodara) Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, JAX, Reinforcement Learning, Scikit-learn, Generative AI, Natural Language Processing (NLP), PyTorch, Retrieval-Augmented Generation, Computer Vision An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Vadodara) Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, JAX, Reinforcement Learning, Scikit-learn, Generative AI, Natural Language Processing (NLP), PyTorch, Retrieval-Augmented Generation, Computer Vision An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. Job Description Team Overview The Winning AI Home team, part of Freshworks' SaaS@scale mothership BU - Cloud Engineering, is seeking a highly motivated and skilled AI Applications Engineer. This role is pivotal in driving the development and deployment of cutting-edge AI solutions within our product ecosystem. Role Description We are looking for an AI Applications Engineer (IC3) with a strong full-stack background who deeply understands Large Language Models (LLMs) and the nuances between Generative AI (GenAI), Agentic AI, and AI Agents. The ideal candidate will have hands-on experience building AI applications using Agentic frameworks and possess a solid understanding of both front-end and back-end development. Responsibilities Design, develop, and deploy AI applications leveraging LLMs and Agentic frameworks. Implement and optimize Retrieval-Augmented Generation (RAG) systems to enhance LLM accuracy and contextual understanding. Develop and deploy AI Agents for multi-step reasoning and automation of complex tasks. Fine-tune pre-trained models for specific use cases and improve application performance. Collaborate with cross-functional teams to integrate AI solutions into existing products. Conduct performance benchmarking and evaluation of AI applications using metrics like groundedness, correctness, and hallucination. Ensure Responsible AI principles are integrated throughout the development lifecycle. Maintain and troubleshoot AI infrastructure on cloud platforms. Qualifications Experience : 3-7 Years AI Expertise - Strong understanding of LLMs, GenAI, Agentic AI, and AI Agents.- Experience with Agentic frameworks such as LangChain, LangGraph, and CrewAI.- Proficiency in implementing and optimizing Retrieval-Augmented Generation (RAG) systems.- Experience in developing and deploying AI Agents.- Demonstrated ability in fine-tuning pre-trained models. Programming & Development - Proficiency in Python and TypeScript/Node.js.- Good fundamentals in databases for persistent and cache requirements.- Experience with performance benchmarking and debugging. Cloud & Monitoring - Strong understanding of cloud platforms (AWS, Azure, or GCP) for deploying and managing AI infrastructure.- Experience with monitoring tools such as Prometheus and Grafana. Evaluation & Best Practices - Knowledge of Vibe coding intricacies.- Ability to evaluate AI Applications using metrics like groundedness, correctness, hallucinations, and Responsible AI.- Familiarity with Reinforcement Learning concepts and applications. Additional Information At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

GL Bajaj (Institute of Technology & Mgmt.) – A Glimpse! Passionate education provider in multi disciplines at undergraduate and postgraduate level (B.Tech, MBA, MCA) Vibrant Learning Ecosystem on the campus, has inspired and brilliant students. GL Bajaj Group was incepted in year 1997 , carrying a winning legacy of 12 institutions running diverse higher education programs. GL Bajaj Group, has +14,000 students, +800 faculty members , 12 institutions, and 6 campuses with +300 acres of land. NAAC A+ accredited, 4 stars from Ministry of Education, NIRF rank holder, Research & Incubation centre, Entrepreneurship development and top quality placement for students Vision to give globally competent & socially sensitive professionals to the society. Highly inquisitive students who take risks, experiment, and put novel ideas into action. Sharpens the Technical as well as Life Skills of students – Developing young leaders. Have world class collaborative LEARNING infrastructure for teaching & learning practices. Hiring Distinguished faculty members from the Institutes of repute . We nurture versatile INTRAPRENEURs . Our core belief is in nurturing Diverse, inclusive, equity knowledge gems Hi – Tech Campus has a beautiful , serene environment & students enjoy learning. Believes in relentless change and desire to improve . We are looking for passionate researchers/out of box thinkers/academicians who have a go-getter attitude, have fire to innovate , works with technology driven progressive mindset and execute the concept of sustainability in each task ( paperless ) in learning process delivery. We are offering to the right candidate an excellent compensation package along with the tools and the environment to foster intellect and new ideas. If you want to CONTRIBUTE meaningful to the society at large, join us & Find your SPARK! ABOUT JOB Designation: Assistant Professor Job Purpose & Role: To teach, research and serve the Institution for academic, institutional & student’s growth & development. WORK Responsibilities: 1 LEARNING & TEACHING To develop and teach undergraduate and graduate courses in CORE Computer Science & Allied courses. Command on Subjects like: Programming Fundamentals via language C/C++, JAVA, Python Data Structures & Algorithms Operating Systems Computer Architecture & Organisation Object Oriented Programming (OOP) Software Engineering Design & Analysis of Algorithms Computer Networks, Compiler Designs, DevOps Artificial Intelligence, Machine Learning Deep Learning, Natural Language Processing, Computer Vision, or related areas. etc. Proven experience of teaching new age subjects like Cybersecurity, Big Data Analytics, IoT, Cloud Computing, Blockchain Technology, AVR (Augmented & Virtual Reality) with a commitment to innovative pedagogical approaches. Have an ability to stay abreast on the latest emerging trends and technologies in AI/AIML/DS such as reinforcement learning, generative models, or ethical AI. To stay abreast of developments in the field of AI through continuous learning, attending conferences, and networking with peers. Proven e xperience with software development and programming languages commonly used in AI research, such as Python, TensorFlow, PyTorch, or similar tools. To make best use of technology in teaching learning methodology. Proven experience of excellent delivery of the subject for the students by active or activity based learning, real-life problem solving approaches in content delivery and achieve the best results /awards/positions in the university. To fulfill responsibility concerning students in respect of instruction, progress, and examination. To prepare / maintain lesson plans, lecture notes, model question papers, attendance register, manual etc. To ensure discipline and welfare of the students . To meaningfully engage students in class, seminars, workshops, conferences , events, applied subject knowledge projects. To ensure Quality (NBA, ISO, NAAC, NIRF) and innovative education to students by continuous monitoring of subject, books, and journals, teaching aids, Laboratory facilities and ensure understanding of education regulatory bodies like UGC / AICTE 2 RESEARCH To conduct cutting-edge research in AI, Data Science, AIML, Core CSE , publish findings in reputable journals and conferences, and pursue external funding to support research activities. To supervise and mentor graduate students, providing guidance and support in their research endeavours To collaborate with industry partners to apply AI/AIML techniques to real-world problems and foster technology transfer. To have an ability to secure external research funding and lead research projects independently or collaboratively. Proven experience in working with interdisciplinary research teams or collaborating across departments. To facilitate in connecting industry with academia for providing hands on experience leading to skill development of students. To do quality research, have good academic record and books/research paper publications/IPR/patents record. To continue to develop one’s position as a leading researcher, including publication, external funding and the pursuit of other relevant indicators of standing in the field. 3 GL Bajaj’s Citizenship and Ownership of Responsibilities To participate in continuing professional development e.g. through seminars or conferences and by engaging in training programmes run by the Institution which are consistent with the needs and aspirations of the academics. To support, mentor and facilitate seminars, trainingactivities, cross-departmental activities and events and Ceremonies etc. To demonstrate the GL Bajaj’s values throughown actions and behaviour . To undertake such other duties as may be reasonably requested and that are commensurate with the nature and grade of the post. To engage in continuous personal and professional development in line with the demands of the role, including undertaking relevant training and development activities to develop themselves and support the development of others. To ensure and promote the personal health,safety and wellbeing of staff and students. To carry out duties in a way which promotes fairnessin all matters , and which engenders trust. APTITUDE & SKILLS 1 Functional Skills Passionate Academician/Researcher Competency of Nurturing Students Excellent interpersonal & content delivery skills. Ability to engage students constructively. Academic domain knowledge – National (UGC/NBA/NAAC/NIRF/AICTE etc.)/International Highly developedcommunication and presentation skills to present research findings at national and international conferences Ability to harness IT as a research and teaching tool A willingness to undertake further training as appropriate and to adoptnew procedures as and when required 2 Attributes Dynamic, energetic, team player, thrives among strong colleagues. Ability to work in fast paced evolving environment . Be willing and able to exercise judgment and take risks. Accept criticism and constructive feedback , while being extremely adaptable and flexible. Reflection of an impeccable persona in walk-talk while dealing with academia High emotional intelligence Qualification & Years of Experience as per AICTE/UGC norms: B.Tech & M.Tech – IT/CSE from Top tier Institutes & reputed universities like IITs, NITs, IIITs, IISc. Etc. and throughout first class 0-4 years of experience in teaching/ research PhD or PhD (Pursuing) candidates from Top Institutes will be preferred Industry Experience is desirable. Salary as per current norms Location: Greater Noida, Delhi/NCR Apply for the position by sending your CV on careers@glbitm.ac.in You may visit our website’s career page at www.glbitm.org

Role - Civil engineer Experience 4+ years Location Pan india JD JOB SCOPE As a Civil Engineer, you will be responsible for the civil planning, drafting, and validation of civil work package and survey reports for network and civil infrastructure to support our ambitious growth targets. This role requires a combination of civil & technical knowledge and strong analytical skills to ensure the efficient and robust operation of our network systems. DUTIES AND RESPONSIBILITIES Support Civil Sr.Engineer to complete civil engineering project scope activity Manage all civil project related deliverables to meet Project and Business objectives as well as In-Service Targets. Review and validate Legal Survey documents Validate Civil Preliminary drawing, site layout drawings (initial Civil Drawings) Support in processing Public Consultation/ Municipal Approval/ NAV Canada Approval, Transport Canada Approval for Site acquisition process Manage Civil Site Work Order (CWO) for main site and tie site (if MW transmission is used). Complete foundation design based on tower design Request a Structural Tower Assessment from Engineer of Record (EOR) for Tower and Rooftop sites (if required) to understand the load capacity of supporting structure Able to prepare & review construction Drawing (towers and rooftops) which includes all structural, electrical, elevation drawing as required. Civil reinforcement Drawings awareness Prepare Civil Material BOM loaded into ADM Manage As-build Construction Drawings - ADM (FieldVizion) Checklist Post Construction Inspection report (PCI) - ADM (FieldVizion) Checklist Establish and maintain communication channels with team members, senior management, equipment vendors, Telcos and third-party operators to ensure project success. Review contractor’s construction reports and civil acceptance reports. Able to review and prepare Electrical Plan including Infra related parameters Responsible as Construction Specialist for special projects (but not limited to, In Building, Complex reinforcement of tower foundation, Site to relocate, MW project) Skills Require- Detailed knowledge of Civil & structure Engineering for Telecom Network Infrastructure Detailed knowledge and experience with the following technologies and tools: AutoCAD, Mapinfo MS Visio. Civil drafting tools Project Management Tools Local Municipality Portal and reports Civil Design and construction drawing (Mandatory skill): Proficiency in Civil and Implementation design including the ability to design scalable and reliable civil network infrastructure according to industry standards. Data Analysis (Mandatory skill): Strong analytical skills to collect, analyze, and interpret data to make informed network planning decisions. Civil Knowledge (Mandatory skill): Extensive understanding of civil systems, technologies, and protocols to efficiently manage and resolve civil and structural issues. Civil Capacity Planning: Ability to forecast and manage Civil capacity to ensure continuous and reliable service performance. Vendor Coordination: Experience in coordinating with vendors and all involve stakeholders to ensure timely delivery and integration of network components. Project Management: Proficiency in project management techniques to oversee network planning and implementation projects from start to finish. Communication Skills: Excellent written and verbal communication skills to effectively collaborate with internal teams and external stakeholders. Problem Solving: Strong problem-solving skills to identify and address network issues promptly and efficiently.

We’re looking for a highly creative and technically skilled Video Editor who can craft compelling, product-focused visual stories for a US tech-savvy audience. You’ll work closely with product marketing, design, and leadership teams to bring AI, Cloud, and Engineering innovations to life through impactful short-form videos. You must have the ability to transform raw footage, voiceovers, and visual assets into polished, platform-ready videos with tight editing, motion graphics, and narrative clarity — similar to this level of output: 📌 Appmod.AI – Code Modernization 📌 LinkedIn Product Launch 📌 Narrative & Motion Explainer Job Title: Video Editor - Internship Location: Hyderabad(Hybrid) work Employment type : 6 Months Internship + PPO What You’ll Be Doing: Edit high-quality 60–90 second videos using Adobe Premiere Pro, After Effects, or similar tools Incorporate motion graphics, transitions, kinetic typography, and visual storytelling that elevate the final product Collaborate with product and creative teams to storyboard and shape the message for clarity and impact Adapt videos to various platforms (YouTube, LinkedIn, Instagram), using appropriate formats, captions, pacing, and hooks Maintain consistent brand tone, color grading, sound design, and animation style across projects Manage tight timelines while maintaining exceptional quality What We’re Looking For Hands-on experience editing explainer/product/marketing videos for tech or SaaS companies Strong portfolio showcasing polished motion editing, storytelling, and platform-specific cuts Proficiency in Adobe Premiere Pro, After Effects, and Adobe Creative Suite Experience creating motion design assets: lower thirds, icon animations, product overlays Deep understanding of visual pacing, audience engagement, and retention in a short attention span environment Familiarity with platform nuances for LinkedIn, YouTube, Instagram Reels , etc. Strong communication and collaboration skills, with attention to detail and creative independence If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role. To know more about Techolution, visit our website: www.techolution.com If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role.To know more about Techolution, visit our website: www.techolution.com About Techolution: Techolution is a next gen AI consulting firm on track to become one of the most admired brands in the world for "AI done right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. At Techolution, we build custom AI solutions that produce revolutionary outcomes for enterprises worldwide. Specializing in "AI Done Right," we leverage our expertise and proprietary IP to transform operations and help achieve business goals efficiently. We are honored to have recently received the prestigious Inc 500 Best In Business award , a testament to our commitment to excellence. We were also awarded - AI Solution Provider of the Year by The AI Summit 2023, Platinum sponsor at Advantage DoD 2024 Symposium and a lot more exciting stuff! While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Our thought leader, Luv Tulsidas, wrote and published a book in collaboration with Forbes, “Failing Fast? Secrets to succeed fast with AI”. Refer here for more details on the content - https://www.luvtulsidas.com/ Let's explore further! Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio : Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. AppMod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands! 3. ComputerVision. AI : Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration! 4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

Job Title: Gen AI Technical Lead/ Architect || Agentic AI || Immediate Joiners Only from Delhi NCR Experience: 8–14 Years Location: Noida/ Faridabad Work Mode: Full-time, Hybrid About the Role We are seeking an exceptional AI Architect with deep expertise in Agentic AI and Generative AI to lead the design, development, and deployment of next-generation autonomous AI systems. This role is pivotal in building LLM-powered agents , integrating memory, tool use, planning, and reasoning capabilities to create intelligent, goal-driven systems. As a technical leader, you will drive end-to-end AI initiatives—from cutting-edge research and architecture design to scalable deployment in cloud environments. Key Responsibilities Agentic AI Design & Implementation Architect and build LLM-based agents capable of autonomous task execution, memory management, tool usage, and multi-step reasoning. Develop modular, goal-oriented agentic systems using tools like LangChain , Auto-GPT , CrewAI , SuperAGI , and OpenAI Function Calling . Design multi-agent ecosystems with collaboration, negotiation, and task delegation capabilities. Integrate long-term and short-term memory (e.g., vector databases, episodic memory) into agents. Generative AI & Model Optimization Develop, fine-tune, and optimize foundation models (LLMs, diffusion models) using TensorFlow , PyTorch , or JAX . Apply model compression, quantization, pruning, and distillation techniques for deployment efficiency. Leverage cloud AI services such as AWS SageMaker , Azure ML , Google Vertex AI for scalable model training and serving. AI Research & Innovation Lead research in Agentic AI, LLM orchestration, and advanced planning strategies (e.g., ReAct, Tree of Thought, Reflexion, Autoformalism). Stay current with SOTA research; contribute to whitepapers, blogs, or top-tier conferences (e.g., NeurIPS, ICML, ICLR). Evaluate new architectures like BDI models , cognitive architectures (e.g., ACT-R, Soar), or neuro-symbolic approaches. Programming & Systems Engineering Strong coding proficiency in Python , CUDA , and TensorRT for model acceleration. Experience with distributed computing frameworks (e.g., Ray , Dask , Apache Spark ) for training large-scale models. Design and implement robust MLOps pipelines with Docker , Kubernetes , MLflow , and CI/CD systems. Required Skills & Qualifications 8–14 years of experience in AI/ML, with at least 2+ years hands-on with Agentic AI systems. Proven experience building, scaling, and deploying agent-based architectures. Strong theoretical foundation in machine learning, deep learning, NLP, and reinforcement learning. Familiarity with cognitive architectures, decision-making, and planning systems. Hands-on with LLM integration and fine-tuning (e.g., OpenAI GPT-4, Claude, LLaMA, Mistral, Gemini). Deep understanding of prompt engineering , function/tool calling , retrieval-augmented generation (RAG) , and memory management in agentic systems. Preferred (Nice to Have) Publications or open-source contributions in Agentic AI or Generative AI. Experience with simulation environments for training/test agents (e.g., OpenAI Gym, Unity ML-Agents). Knowledge of safety, ethics, and alignment in autonomous AI systems. About Damco: We are a global technology company with more than two decades of core IT experience. Our differentiators are technological prowess with unwavering back-end support on a wide range of technologies and industry-leading platforms. At Damco, we take pride in building innovative, efficient, and robust IT solutions for our clients. We match the client’s business goals with our technology expertise and immaculate execution capabilities to solve issues that matter to the end-user. Damco has developed hundreds of products and applications, redefined countless processes, built numerous technology teams and systems, and delivered significant financial results to customers from diverse verticals. We believe in empowering our people to perform and grow by offering opportunities, learning, and inspiration—to ‘act and accomplish’. If you are a self-starter looking for an open and collaborative work culture to excel in career, we are the place for you. Here is what you can expect from our work-culture.