Product Designer

Job Description – Data Scientist (Machine Learning & Forecasting)

About the Role

We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, Traditional Statistical Modelling, Forecasting, and Predictive Analytics. The ideal candidate will have hands-on experience building and deploying end-to-end ML solutions, working with large datasets, and translating business problems into scalable data science solutions.

The role requires a strong foundation in statistics, predictive modelling, feature engineering, model evaluation, and time-series forecasting, along with the ability to collaborate with cross-functional teams to deliver business impact.

Key Responsibilities

• Design, develop, and deploy Machine Learning models for business-critical use cases.
• Build and optimize traditional ML models such as:
• Linear Regression
• Logistic Regression
• Decision Trees
• Random Forest
• Gradient Boosting (XGBoost, LightGBM, CatBoost)
• Support Vector Machines
• Clustering Algorithms
• Develop forecasting solutions using:
• ARIMA / SARIMA
• Prophet
• Exponential Smoothing
• Time-Series Regression Models
• Perform exploratory data analysis (EDA), feature engineering, and data validation.
• Evaluate model performance using appropriate statistical and business metrics.
• Work with structured and semi-structured datasets from multiple sources.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Build scalable data pipelines and support model deployment in production environments.
• Monitor model performance, identify data drift, and implement model retraining strategies.
• Present insights and recommendations to technical and non-technical stakeholders.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field.
• 5+ years of hands-on experience in Data Science, Machine Learning, and Forecasting.

Technical Skills

   Machine Learning

• Strong understanding of supervised and unsupervised learning algorithms.
• Experience with ensemble methods and advanced ML techniques.
• Expertise in model selection, hyperparameter tuning, and performance optimization.

Forecasting & Statistics

• Strong understanding of:
• Time-Series Analysis
• Forecasting Techniques
• Statistical Inference
• Hypothesis Testing
• Probability Distributions
• A/B Testing

Programming

• Advanced proficiency in Python.
• Experience with:
• Pandas
• NumPy
• Scikit-learn
• Statsmodels
• XGBoost / LightGBM
• Prophet

Data & SQL

• Strong SQL skills with experience in complex queries and performance optimization.
• Experience working with large-scale datasets.

Visualization

• Experience with Power BI, Tableau, Matplotlib, Seaborn, or Plotly.
• Cloud & MLOps (Preferred)
• Exposure to AWS, Azure, or GCP.
• Understanding of Docker, Kubernetes, CI/CD, and ML model deployment practices.

Key Competencies

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work independently in a fast-paced environment.
• Strong business acumen and data-driven decision-making mindset. 

Role & Responsibilities:

• Business Development responsible for growing sales on, ETT – Sales, Certification solution, Reskilling Offerings, Persona Based Offering and content Development.
• Identifying, recruiting (MOU) and on-boarding new channel partners (( Lars Vars , Distributors, Learning partners , Hardware OEM’s )
• Create and execute business plans ( joint calendars for certification ) to meet sales goals.
• Working with partner to plan and Execute GTM plans to generate and grow demand (Certification, Certification Add on, Persona Onboarding, Reskilling, Onboarding Add on, ETT)
• Upselling & Cross-selling to partners to achieve higher Sales.
• Analyze market trends and accordingly develop sales plans to increase brand awareness.
• Evaluate partner sales performance and recommend improvements.
• Educate partners about product portfolio and complimentary services offered.
• Address partner related issues, sales conflicts and pricing issues in a timely manner.
• Manage sales pipeline, forecast monthly sales and identify new business
• Deliver customer presentations and attend sales meetings and partner conferences.
• Assist in partner marketing activities such as tradeshows, campaigns and other promotional activities.
• Assist in partner marketing activities such as tradeshows, campaigns and other promotional activities

Ideal Candidate:

• 1+ years of B2B Sales / Channel Sales / Partner Management experience in IT Solutions, Training Solutions, Certification Sales, or Technology Services.
• Must have experience working with channel partners, system integrators, resellers, or strategic alliances
• Must have supported or driven partner-led sales cycles, including requirement alignment, proposal coordination, and deal closure
• Business Planning & GTM Execution):Experience creating joint business plans, certification calendars, GTM strategies, and sales campaigns with partners.
• Must be able to coordinate across partners, internal teams, and end customers effectively.
• Must have a technical or IT-oriented education background —BE / BSc IT / MSc IT is mandatory.

Job Title: Senior AI Engineer 

Job Summary: 

We are seeking experienced Senior AI Engineers to join our AI team and drive the design, development, and deployment of cutting-edge AI solutions. You will work on exciting projects, such as sentiment analysis for support tickets, automated data insights, conversational interfaces, and zero-touch planning using AI. This role requires close collaboration with cross-functional teams, including Product and Data Engineering, to deliver impactful AI-driven features that transform our platform. 

Key Responsibilities: 

• Design, develop, deploy, and maintain ML models and AI infrastructure. 
• Collaborate with cross-functional teams to integrate ML models into production workflows. 
• Utilize AWS services, including Sage Maker and Bedrock, for model deployment and real-time monitoring. 
• Implement and manage CI/CD pipelines to ensure efficient and reliable model deployment. 
• Stay updated with the latest advancements in machine learning and AI best practices. 
• Monitor and optimise model performance, addressing issues related to scalability and efficiency. 
• Troubleshoot and resolve problems related to ML models and infrastructure. 

Requirements: 

• 5+ years of professional experience with Python programming. 
• Hands-on experience with Machine Learning Operations (MLOps). 
• Proven expertise in data engineering and ETL processes. 
• Strong knowledge of AWS services, including Sage Maker 3wand Bedrock. 
• Proficiency in setting up and managing Docker and CI/CD pipelines. 
• Experience with large language models (LLMs) and prompt engineering. 
• Familiarity with model performance monitoring and optimization techniques. 
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. 

If Your Interested contact me

sairam.akirala

@

kiaraglobalservices.com

or

798

9

8121

78

Industry Type

·        Renewable Energy

Qualificat ions

·        A Bachelor’s or Master’s degree in Electrical, Civil, or Mechanical Engineering,

Key Skills

·        AutoCAD, PVsyst, Helioscop Expertise in solar PV systems, including system design, equipment selection (panels, inverters, mounting systems), and layout planning.

Experience

·        8-12 Years’ Experience

Work Location:

·        Hyderabad

Experience: 2+ years 

Job Location Flexible: [Work from anywhere in India / Gurgaon based on the need] 

Selection process: HR Round followed by Group Discussion and Sales Manager Round. 

Qualification: B.com, BBA, MBA, any graduate 

Salary Offered: As per industry standard. 

About UAI Autoworks Pvt Ltd. 

UAI Autoworks is a tech-enabled car servicing, repairing and detailing platform providing 24*7 minor repair services and roadside assistance.

Primary Duties and Responsibilities :

✓ Call Patients on the assigned accounts to understand when Payments on the outstanding amount will be made.
✓ Follow-up with patients on overdue accounts.
✓ Create weekly/monthly collection reports to gauge the progress made.
✓ Respond to Patient queries in a timely and professional manner.
✓ Raise exceptions wherever required for the client/supervisor to review before taking any final decision
✓ Follow the Training Manual and what was taught during training sessions to avoid unnecessary errors Requirements:
✓ Should be able to empathize with Patients, active listeners, and should be able to facilitate in providing solutions
✓ Detail orientation, strong analytical and problem-solving skills.
✓ Should be a quick learner with the ability to learn new tools.
✓ Must have the ability to multitask and work under pressure with minimum supervision.

Skills:

✓ Excellent in English Communication (Verbal and written).

 Eligibility of Candidates :

✓ Immediate joining

✓  Excellent in English Communication (Verbal and written).

✓  Comfortable to work in the night shift.

✓   Experienced candidates are welcome.

 Benefits :

 ✓ Friendly environment.

✓   Fixed shift.

✓   5 days workings

We at Joistic are a strong and focused team working on flutter and PHP Laravel. We are looking to add a backend dev to our team.

As a Backend Engineer at Joistic, you’ll be involved in working on admin panels, web apps, Rest Api creation etc. Having a good sense of UI/UX would be appreciated.

Job Description

Primary Skills

• Server Side (Java) & AWS serverless framework.
• Must have hands-on experience on serverless framework.
• Design knowledge/experience of cloud-based web application. Familiarity with software design representation tools like astah, visio etc.
• Must have good experience on AWS (Overall knowledge, EC2 Volume, EC2 Security Group, EC2 AMI, Lambda, S3, AWSbackup, CloudWatch, CloudFormation, CloudTrail, IAM, SecretsManager, StepFunction, CostExplorer, KMS, VPC/Subnet)
• Understanding business requirements w.r.t UI/UX.
• Working experience on development/staging/production servers.
• Good testing and verification skills
• Knowledge on SSL certificates and encryption.
• Knowledge on Docker containerization.

Soft Skills

• Excellent interpersonal, oral and writing communication skills.
• Strong Analytical and Problem-solving skills.
• Should have skills to understand and analyzecustomers requirements and expectations.
• Must have experience in interaction with customer
• Work experiences with international cross-culture teams (Good to have)

Secondary SKills

• Scripting using Python
• Good to have knowledge of identity management
• UI/UX
• Knowledge of ReactJS/typescript/bootstrap
• Understanding business usecases w.r.t UI/UX
• Fixing issues wrt to integration on cloud(front end/back end/system/services APIs)