3D Modelling

About Kanerika:

Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI.

We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.

Awards and Recognitions:

Kanerika has won several awards over the years, including:

1. Best Place to Work 2023 by Great Place to Work®

2. Top 10 Most Recommended RPA Start-Ups in 2022 by RPA Today

3. NASSCOM Emerge 50 Award in 2014

4. Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture

5. Kanerika has also been recognized for its commitment to customer privacy and data security, having achieved ISO 27701, SOC2, and GDPR compliances.

Working for us:

Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees.

Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you’ll get while working for Kanerika.

About the role:

As a DevOps Engineer, you will play a critical role in bridging the gap between development, operations, and security teams to enable fast, secure, and reliable software delivery. With 5+ years of hands-on experience, the engineer is responsible for designing, implementing, and maintaining scalable, automated, and cloud-native infrastructure solutions.

Key Responsibilities:

• 5+ years of hands-on experience in DevOps or Cloud Engineering roles.
• Strong expertise in at least one public cloud provider (AWS / Azure / GCP).
• Proficiency in Infrastructure as Code (IaC) tools (Terraform, Ansible, Pulumi, or CloudFormation).
• Solid experience with Kubernetes and containerized applications.
• Strong knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps, ArgoCD).
• Scripting/programming skills in Python, Shell, or Go for automation.
• Hands-on experience with monitoring, logging, and incident management.
• Familiarity with security practices in DevOps (secrets management, IAM, vulnerability scanning). 

Employee Benefits:

1. Culture:

1. Open Door Policy: Encourages open communication and accessibility to management.
2. Open Office Floor Plan: Fosters a collaborative and interactive work environment.
3. Flexible Working Hours: Allows employees to have flexibility in their work schedules.
4. Employee Referral Bonus: Rewards employees for referring qualified candidates.
5. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback.

2. Inclusivity and Diversity:

1. Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.
2. Mandatory POSH training: Promotes a safe and respectful work environment.

3. Health Insurance and Wellness Benefits:

1. GMC and Term Insurance: Offers medical coverage and financial protection.
2. Health Insurance: Provides coverage for medical expenses.
3. Disability Insurance: Offers financial support in case of disability.

4. Child Care & Parental Leave Benefits:

1. Company-sponsored family events: Creates opportunities for employees and their       families to bond.
2. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.
3. Family Medical Leave: Offers leave for employees to take care of family members' medical needs.

5. Perks and Time-Off Benefits:

1. Company-sponsored outings: Organizes recreational activities for employees.
2. Gratuity: Provides a monetary benefit as a token of appreciation.
3. Provident Fund: Helps employees save for retirement.
4. Generous PTO: Offers more than the industry standard for paid time off.
5. Paid sick days: Allows employees to take paid time off when they are unwell.
6. Paid holidays: Gives employees paid time off for designated holidays.
7. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one.

6. Professional Development Benefits:

1. L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development.
2. Mentorship Program: Offers guidance and support from experienced professionals.
3. Job Training: Provides training to enhance job-related skills.
4. Professional Certification Reimbursements: Assists employees in obtaining professional      certifications.
5. Promote from Within: Encourages internal growth and advancement opportunities.

Please apply on RemoteHub: (Instantly Apply)

https://www.remotehub.com/jobs/details/website-developer-needed-64dd152bedae3a632b1f415c

Write well designed, testable, efficient code by using best software development practices

Create website layout/user interface by using standard HTML/CSS practices

Integrate data from various back-end services and databases

Gather and refine specifications and requirements based on technical needs

Create and maintain software documentation

Be responsible for maintaining, expanding, and scaling our site

Stay plugged into emerging technologies/industry trends and apply them into operations and activities

Cooperate with web designers to match visual design intent

• Developing and implementing HR strategies and initiatives aligned with the overall business strategy
• Bridging management and employee relations by addressing demands, grievances or other issues
• Managing the recruitment and selection process

• Connecting with a minimum of 80 working professionals (prospective students) each day from the leads/database present on lead-squared CRM
• Generating a pool of prospects by identifying the need for upskilling depending on the student’s area of interest
• Helping prospective students with detailed information about the programs offered through phone or video counseling & create a strong pipeline
• Ensure to meet daily deliverables & achieve weekly/monthly enrolment target.

• Analyzing data with respect to Stock wastage/Inventory Holding Period
• Analyzing sales SKU/Customer wise and also analyzing division wise overheads/costs
• Being a part of and contributing towards Financial Planning & Analysis, Financial Modeling and Financial forecasting/AOP
• Analyzing financial data and creating financial models for decision support
• Developing trends and projections for the organization’s finances
• Monitoring cash flow and thus recommending steps towards achieving optimization of costs
• Overseeing periodic financial reports and thus ensuring that the reported results comply with the financial reporting standards or the generally accepted accounting principles
• Ensuring compliances of International Export, FOREX and also compliances/modeling of unsecured funding
• Establishing internal controls and guidelines for accounting transactions and budget preparation
• Being responsible for overall managing and supporting the company's consolidations and closing activities on-time and accurately
• Being a part of Internal Audits
• Ensuring compliance of Government rules and relevant laws & regulations
• Updating and maintaining relevant confidential financial data and reporting the same to the management in regular intervals

Desired Candidate Profile

• BCom graduate
• Relevant work experience of 4-7 years in finance
• Excellent knowledge in Finance Taxation, Auditing, Accounting and Tally
• Excellent communication and reporting skills
• Proficiency in advanced MS Excel
• Attention to details and accuracy is a must

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.

We are looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply.

We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you.

All successful candidates are expected to dive deep into problem areas of Zycus’ interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization.

Skills:

• Experience in predictive modelling and predictive software development
• Skilled in Java, C++, Perl/Python (or similar scripting language)
• Experience in using R, Matlab, or any other statistical software
• Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications
• Strong communication and data presentation skills

• Classification (svm, decision tree, random forest, neural network)
• Regression (linear, polynomial, logistic, etc)
• Classical Optimization(gradient descent, newton raphson, etc)
• Graph theory (network analytics)
• Heuristic optimisation (genetic algorithm, swarm theory)
• Deep learning (lstm, convolutional nn, recurrent nn)

Must Have:

• Experience: 3-9 years
• The ideal candidate must have proven expertise in Artificial Intelligence (including deep learning algorithms), Machine Learning and/or NLP
• The candidate must also have expertise in programming traditional machine learning algorithms, algorithm design & usage
• Preferred experience with large data sets & distributed computing in Hadoop ecosystem
• Fluency with databases