Senior Asterisk Developer/Telephony Engineer

Sales Engineer

Location: Navi Mumbai / Mumbai ( All areas)

Experience: 2 -8 years

Qualification:

Diploma or Graduation in mechanical field

Work Experience:

2+ years of experience in related industry

Strong technical knowledge of equipment and elevator systems.

Languages : English, Hindi and local language

Job Summary:

We are seeking a motivated and skilled Sales Engineer to join our

team across various regions in the equipment and elevator sector. This role combines technical expertise with strong sales acumen to drive business growth by identifying customer needs, offering tailored solutions, and ensuring the successful implementation of our products. The ideal candidate will possess solid engineering knowledge, exceptional communication skills, and the ability to build

and maintain long-lasting customer relationships.

1. Technical Sales

Develop and execute strategies to achieve sales targets for equipment and elevator systems. Conduct technical presentations and product demonstrations for prospective and existing clients. Provide detailed technical and application advice to customers on equipment and elevator solutions.

2. Customer Engagement

Identify and assess customer needs through site visits, consultations, and discussions. Prepare and deliver proposals, quotations, and technical documentation.

Maintain and build relationships with key clients, ensuring high levels of customer satisfaction and retention.

3. Project Management

Oversee the technical aspects of sales projects from inception to completion, ensuring all specifications and requirements are met.

Collaborate with engineering and installation teams to ensure successful project delivery. Address and resolve technical issues that arise during the sales process or order finalization.

4. Market Analysis

Monitor and analyse market trends, competitor activities, and customer feedback to identify opportunities and threats. Provide insights and recommendations to enhance product offerings and sales strategies.

5. Reporting and Documentation

Maintain records of sales activities, customer interactions, and project status in the CRM system. Prepare regular sales reports, forecasts, and performance metrics for management review.

Skills:

•2-7 years of proven experience as a sales or in a similar role.

•Strong written and verbal communication skills.

•Strong technical knowledge of equipment and elevator systems.

•Excellent communication and presentation skills.

•Time management and ability to meet deadlines

•Strong problem-solving skills and a customer-focused approach.

•Proficiency in CRM software and Microsoft Office Suite (Excel, Word, PowerPoint).

•Valid driver’s license and willingness to travel as required.

•Ability to work independently and manage time effectively in a field-based role.

Position Summary

We are seeking highly motivated and customer-oriented professionals for the role of Process Associate for an International Voice and Non-Voice Process. The ideal candidate will have excellent communication skills, a problem-solving mindset, and a passion for delivering a top-tier customer experience.

Key Responsibilities

• Manage customer interactions via phone, email, or chat in a professional and timely manner.
• Resolve customer queries, issues, or complaints with accuracy and empathy.
• Maintain detailed records of customer interactions in the system.
• Collaborate with internal teams for escalations and resolution follow-ups.
• Uphold service quality standards and contribute to continuous improvement.

Qualifications & Requirements

• Education: 12th Pass, Diploma, Graduate, or Postgraduate
• Experience: Freshers and experienced professionals (up to 3 years) are encouraged to apply

Skills:

• Excellent verbal and written communication in English
• Strong interpersonal and problem-solving skills
• Basic computer proficiency (MS Office, typing skills)
• Ability to work in a fast-paced, team-oriented environment
• Willingness to work in rotational shifts (including night shifts)

Perks & Benefits

• Competitive salary with performance-based incentives
• Night shift allowances and cab facility
• One-time complimentary meal during shifts
• Opportunities for internal growth and role advancement
• Exposure to international client processes and professional development

MUST-HAVES: 

• Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
• Notice period - 0 to 15 days only 
• Hybrid work mode- 3 days office, 2 days at home

SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS

ADDITIONAL GUIDELINES:

• Interview process: - 2 Technical round + 1 Client round
• 3 days in office, Hybrid model. 

CORE RESPONSIBILITIES:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

SKILLS:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

REQUIRED EXPERIENCE:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sage maker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Role Overview:

Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs).

You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale.

Key Responsibilities:

● Design and implement scalable ML systems, from experimentation to deployment.

● Build and maintain end-to-end data pipelines for data ingestion, preprocessing, feature engineering, and monitoring.

● Lead the development and deployment of ML models across a variety of use cases — including classical ML and LLM-based applications like summarization, classification, document understanding, and more.

● Define model training and evaluation pipelines, ensuring reproducibility and performance tracking.

● Apply statistical methods to interpret data, validate assumptions, and inform modeling decisions.

● Collaborate cross-functionally with engineers, data analysts, and product managers to solve high-impact business problems using ML.

● Ensure proper MLOps practices are in place for model versioning, monitoring, retraining, and performance management.

● Keep up-to-date with the latest advancements in AI/ML, and actively evaluate and incorporate LLM capabilities and frameworks into solutions.

● Mentor junior ML engineers and data scientists, and help scale the ML function across the organization.

Required Qualifications:

● 7+ years of hands-on experience in ML/AI, building real-world ML systems at scale.

● Proven experience with classical ML algorithms (e.g., regression, classification,

clustering, ensemble models).

● Deep expertise in modern LLM frameworks (e.g., OpenAI, HuggingFace, LangChain)

and their integration into production workflows.

● Strong experience with Python, and frameworks such as Scikit-learn, TensorFlow,

PyTorch, or equivalent.

● Solid background in statistics and the ability to apply statistical thinking to real-world

problems.

● Experience with data engineering tools and platforms (e.g., Spark, Airflow, SQL,

Pandas, AWS Glue, etc.).

● Familiarity with cloud services (AWS preferred) and containerization tools (Docker,

Kubernetes) is a plus.

● Strong communication and leadership skills, with experience mentoring and guiding

junior team members.

● Self-starter attitude with a bias for action and ability to thrive in fast-paced environments.

● Master’s degree in Machine Learning, Artificial Intelligence, Statistics, or a related

field is preferred.

Preferred Qualifications:

● Experience deploying ML systems in microservices or event-driven architectures.

● Hands-on experience with vector databases, embeddings, and retrieval-augmented

generation (RAG) systems.

● Understanding of Responsible AI principles and practices.

Why Join Us?

● Lead the ML charter in a mission-driven company solving real-world challenges.

● Work on cutting-edge LLM use cases and platformize ML capabilities for scale.

● Collaborate with a passionate and technically strong team in a high-impact environment.

● Competitive compensation, flexible working model, and ample growth opportunities.

Job Title: Junior Business Analyst with Project Coordination Experience

Key Responsibilities:

• Analyze business processes, gather and document requirements, and provide solutions to improve efficiency.
• Assist in project planning, scheduling, and resource management.
• Coordinate project activities, timelines, and communication between teams.
• Support project managers in monitoring project progress, identifying risks, and ensuring project goals are met.
• Create and maintain project documentation, including business requirements, project plans, and status reports.
• Collaborate with stakeholders to ensure alignment between business goals and project deliverables.
• Assist with testing and validation of solutions to ensure they meet business needs.

About company:

A technology based luxury home design company based out of Mumbai.

Role: Content Writer.

Roles & Responsibilities:

·        Researching industry-related topics (combining online sources, interviews and studies)

·        Writing clear marketing copy to promote our products/services

·        Proofreading and edit blog posts before publication

·        Conducting simple keyword research and use SEO guidelines to increase web traffic

·        Ensuring all-around consistency (style, fonts, images and tone)

·        Hands-on experience with Content Management Systems (e.g. WordPress)

·        Proven work experience as a Content Writer, Copywriter or similar role

·        Portfolio of published articles

Requirements:

Preferred industries: FMCG, BMW, Mercedes, and high-end hotels

Experience: 10+ years

Technical Lead – AUTOSAR

Location : Hyderabad

Fulltime

Job Description:

Must Have:

Proficient in development of Base Software in AUTOSAR.

Experience in configuration of different AUTOSAR BSW components (Comms/Diags/Memory).

Experience of working in any of the commercial AUTOSAR stack’s (EB/Vector/KPIT/Mentor/Arccore etc.).

Very good problem resolution and debugging skills.

Very good communication and cross-cultural skills.

Good To Have:

Experience of working in Vector AUTOSAR Stack and related tool chain.

Experience of working in RTE and APSW layers.

Experience in people management.

Working Knowledge in IS026262.

Experience in latest uc platforms (Infineon/Renesas/TI/NXP).

Job R&R:

Mentor/Lead a team of around 5-10 engineers.

Role might include supervisory responsibility.

Work in SW development of ADAS Products.

• Integration of user-facing elements developed by front-end developers
• Build efficient, testable, and reusable PHP modules
• Solve complex performance problems and architectural challenges
• Integration of data storage solutions

• Strong knowledge of PHP web frameworks
• Understanding the fully synchronous behavior of PHP
• Understanding of MVC design patterns
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
• Knowledge of object-oriented PHP programming
• Evolved Understanding of accessibility and security compliance
• Strong knowledge of the common PHP or web server exploits and their solutions
• Understanding fundamental design principles behind a scalable application
• User authentication and authorization between multiple systems, servers, and environments
• Integration of multiple data sources and databases into one system
• Familiarity with limitations of PHP as a platform and its workarounds
• Creating database schemas that represent and support business processes
• Familiarity with SQL/NoSQL databases and their declarative query languages
• Proficient understanding of code versioning tools, such as Git

• A graduate or postgraduate degree in Computer Science or IT Engineering
• 3+ years of work experience developing commercially successful web products
• Experience with analytics and process automation
• Attention to detail and a disciplined mind
• Extraordinary analytical and logical prowess
• Common Sense and Curiosity

We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. 

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance

• Excellent understanding of machine learning techniques and algorithms, such as Linear regression, SVM, Decision Forests, LSTM, CNN etc.
• Experience with Deep Learning preferred.
• Experience with common data science toolkits, such as R, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
• Great communication skills
• Proficiency in using query languages such as SQL, Hive, Pig 
• Good applied statistics skills, such as statistical testing, regression, etc.
• Good scripting and programming skills 
• Data-oriented personality