
Client Engagement Manager
1. Establishes and implements project communication plans, providing status updates to affected staff and stakeholders.
2. Collects, analyzes, and summarizes information and trends as needed to prepare project status reports. Who we are. Headquartered in New Jersey (United States) with satellite offices in Mumbai and Pune (India), Asentech is an innovative technology. company that specializes in health and life sciences advancement of digital marketing and technology enablement at an enterprise-level and individually for brands. Asentech was established in 2007 and over time, our services portfolio has expanded to include. development of large-scale enterprise applications, proprietary technology platforms, campaign orchestration, omni-channel marketing, social media research, listing, Augmented Reality (AR), Virtual Reality (VR), marketing applications and Voice Apps (e.g., xReach.io). Our focus continues to be to form trusted and high valued partnerships with individual brand teams to help deliver differentiated. experiences to physicians, healthcare providers, patients, and caregivers with the goal to increase engagement, sales, and positive outcomes. About Asentech LLC JOB DESCRIPTION FOR THE POSITION OF CLIENT ENGAGEMENT MANAGER
3. Sets and tracks project milestones; manages and accounts for unforeseen delays, then realigns schedules and expectations as needed.
4. Seeks opportunities to upsell products and services to existing accounts.
5. Nurtures working relationships with clients throughout the project cycle.
6. Tracks client’s processes and provides prompt assistance when needed.
7. Designs and executes solutions tailored to client needs.
8. Leads and handles complex accounts.
9. Ensures compliance with company policies and follows ethical standards.
10. Manages client expectations and ensures delivery of client request

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🎯 Job Overview:
We're looking for a highly skilled and motivated SEO Expert who knows the ins and outs of white-hat SEO strategies. You will be responsible for boosting our search engine rankings, driving qualified traffic, and enhancing our brand visibility through technical SEO, content creation, backlink building, and WordPress optimization.
🛠️ Responsibilities:
- Develop and execute a full-fledged SEO strategy to rank BikeFixUp at the top of Google and other search engines.
- Perform on-page and off-page SEO audits and implement technical fixes.
- Build high-quality backlinks through ethical strategies like guest posting, blog outreach, and social bookmarking.
- Write or oversee the creation of SEO-friendly articles, blog posts, and web content.
- Optimize existing content to improve rankings and engagement.
- Conduct keyword research using tools like Ahrefs, SEMrush, or Google Keyword Planner.
- Track and report SEO KPIs such as organic traffic, rankings, bounce rate, and conversions.
- Manage and optimize content using WordPress, ensuring all pages follow SEO best practices.
- Stay updated with the latest Google algorithm updates and white-hat SEO trends.
- Collaborate with developers, designers, and content teams to ensure smooth implementation of SEO best practices.

Responsibilities
• Model Development and Optimization: Design, build, and deploy NLP models, including transformer models (e.g., BERT, GPT, T5) and other SOTA architectures, as well as traditional machine learning algorithms (e.g., SVMs, Logistic Regression) for specific applications.
• Data Processing and Feature Engineering: Develop robust pipelines for text preprocessing, feature extraction, and data augmentation for structured and unstructured data.
• Model Fine-Tuning and Transfer Learning:
Fine-tune large language models for specific applications, leveraging transfer learning techniques, domain adaptation, and a mix of deep learning and traditional ML models.
• Performance Optimization: Optimize model performance for scalability and latency, applying techniques such as quantization, ONNX formats etc.
• Research and Innovation: Stay updated with the latest research in NLP, Deep Learning, and Generative AI, applying innovative solutions and techniques (e.g., RAG applications, Prompt engineering, Self-supervised learning).
• Stakeholder Communication: Collaborate with stakeholders to gather requirements, conduct due diligence, and communicate project updates effectively, ensuring alignment between technical solutions and business goals.
• Evaluation and Testing: Establish metrics, benchmarks, and methodologies for model evaluation, including cross-validation, and error analysis, ensuring models meet accuracy, fairness, and reliability standards. • Deployment and Monitoring: Oversee the deployment of NLP models in production, ensuring seamless integration, model monitoring, and retraining processes.

Senior Developer should have exposure to building logistics products.
Skilled in RESTful & GraphQL APIs, microservices, and database optimization (MySQL, PostgreSQL, MongoDB).
• Experienced in authentication (OAuth, JWT), caching (Redis, Memcached), and real-time applications (WebSockets).
• Strong knowledge of CI/CD pipelines, Docker, Kubernetes, and cloud deployment (AWS, GCP, Azure).
• Passionate about scalability, performance tuning, security best practices, and clean code architecture.
About the company:
Our client is a rapidly growing omni-channel luxury retailer with eight stores across Mumbai, Delhi, Kolkata and a global e-commerce platform servicing 65+ countries worldwide. The 18-year-old company is an established market leader with considerable brand equity.
Job Description:
- Work closely with various people and teams throughout the entire app development cycle (concept, design, build, deploy & test) in an agile environment.
- Design and build applications for the Android & iOS platform using Flutter.
- Ensure the performance, quality, and responsiveness of applications.
- Identify and correct bottlenecks and fix bugs.
- Help maintain code quality, organization, and automatization.
- Knowledge of other web technologies and UI/UX standards.
- Familiarity with cloud message APIs and push notifications.
- Proficient understanding of code versioning tools like Git.
- Maintain and update the existing mobile app.
Job Specifications:
- Graduate or Post-graduate Engineer in CSE/IT/EE or allied field with 5+ years of relevant mobile app development experience.
- Minimum 2 years of experience in Flutter is a must.
- Familiarity with RESTful APIs to connect apps to back-end services.
- Excellent communication and interpersonal skills.
- Strong problem solving, analytical, decision-making and technical ability.
Benefits
- Rewards & Recognition Policies
- Group Mediclaim Cover
Roles & Responsibilities :
● Expertise in ON OFF Page SEO activities.
● Identifying and implementing strategies to increase website traffic through organic search listings without being blacklisted.
● Proven SEM experience managing PPC campaigns across Google and other Search Engines.
● Handling all aspects of SEO, SMO and different ways of link building ● Solid understanding of performance marketing, conversion, and online customer acquisition
● Technical Analysis and Audit of the website. Good knowledge of Google webmaster Analytics.
● Experience with A/B and multivariate experiments
● Knowledge of ranking factors and search engine algorithms
● Up-to-date with the latest trends and best practices in SEO and SEM ● Should have a good understanding of the digital environment and the opportunities for using social media.
Skills Required :
● Excellent communication and team player skills.
● Ability to handle international clients
● Ability to manage multiple projects and handle clients

Duties and Responsibilities
-Use a variety of programming languages in order to create user-friendly web pages
-Maintain and improve company website
-Work in multidisciplinary team with other professionals such as back-end developers and web designers
-Build high-quality mockups and design different prototypes
-Provide high-quality graphics and visual elements
-Optimize our web applications for maximum speed
-Design mobile-based features
-Always stay consistent with our brand guidelines
-Get feedback from users and customers
-Make suggestions for better solutions to problems
-Keep abreast of latest and emerging technologies
-Attend training and educations
Requirements & Qualifications:
-4-5 years of experience as a Front-end Developer
-Excellent knowledge of browser troubleshooting and debugging practices and techniques
-Knowledge of some SEO principles
-3 years of experience with markup languages
-3 years of experience with JavaScript, CSS and jQuery
-Knowledge of graphics software such as Adobe Suite, Photoshop etc.
-Sense of ownership and pride in your performance and its impact on company’s success
-Critical thinker and problem-solving skills
-Team player
-Good time-management skills
-Great interpersonal and communication skills
-B E in Computer Science or similar relevant field
-Tech Stack Javascript, HTML, CSS, Rest API, Javascript, Ajax, Angular JS, and React JS

Urgent Hiring Alert
Greetings From INFOX Technologies,
We are seeking a full time/Part time , React.JS Developer to join our team at INFOX Technologies.
Prefers Candidates Residing Kerala
Qualification: BCA,BSC,BTECH
Experience: min 1 Year
Interested candidates can share your resume..
- Ensure that Shaadi Baraati has the most comprehensive selection of vendors by sourcing and signing up the target merchants quickly and effectively
- Create a robust and accurate profile for every newly registered vendor on the platform
- pitching to the new vendors
- Quality validation
- Data verification of the vendor profiles
- Promotion of company's products/services
- Responsible for revenue-based lead generation
- Provide effective customer experience to new vendors on boarded on the website
- Strong persuasive skills
- High degree of ownership
- Target focused individuals
- Strong verbal and written communication skills
Proven skills in producing and editing technical content within a complex business environment. The writer professional will be experienced in leading storyboarding sessions, participating in key review meetings / final document review, content sign off, and document production. The experience of coordinating and updating a knowledge base system is beneficial. Analyze RFPs, perform QC checks of compliance matrix, proposal outlines, and identify questions that may be submitted to the customer. Core
Responsibilities:
Excellent written communication skills
Support Bid Processing managers / Lead throughout the proposal process, including assist in developing the technical documents, monitor the progress of effort against the schedule, follow up on action items, control document preparation, and version control, and coordinating the final packaging and delivery
Proficient in documentation development tools such as Microsoft Office
Ability to meet tight deadlines while maintaining a high level of quality
Competent in defining, planning and managing proposal deliverable
Familiarity with software development services and business terminology.
Additional Information
Preferred Education BE degree with strong technical communication.



Role and Responsibilities
- Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
- The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
- Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).
Core Qualifications
Candidates must meet ALL of the following qualifications:
- Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
- Three years of industry work experience, developing data mining models which were deployed and used.
- Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
- Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks
Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:
- Soft Skills
- Sets expectations, develops project plans and meets expectations.
- Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
- Technical skills
- Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
- Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
- Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
- Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
- OpenCV or other image processing tools or libraries
- Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
- Decision trees like XGBoost or Random Forests is helpful.
- Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
- Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
- Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
- Experience with PMML is of interest (see www.DMG.org).
- Vertical experience in Industrial Internet of Things (IoT) applications:
- Energy: Oil and Gas, Wind Turbines
- Manufacturing: Motors, chemical processes, tools, automotive
- Smart Cities: Elevators, cameras on population or cars, power grid
- Transportation: Cars, truck fleets, trains
About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.
Press: https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/
Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/
- 2019 Edge Computing Company of the Year – Compass Intelligence
- 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
- 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
- 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
- 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
- 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
- 2018 The 10 Most Innovative AI Solution Providers – Insights Success
- 2018 The AI 100 – CB Insights
- 2017 Cool Vendor in IoT Edge Computing – Gartner
- 2017 20 Most Promising AI Service Providers – CIO Review
Our Series A round was for $15 million. Our Series B round was for $30 million October 2017. Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.
About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9. We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects. About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.
Our data scientists like our team because:
- We care about “best practices”
- Have a direct impact on the company’s revenue
- Give or receive mentoring as part of the collaborative process
- Questions and challenging the status quo with data is safe
- Intellectual curiosity balanced with humility
- Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning

